1
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Giakoumi S, Hogg K, Di Lorenzo M, Compain N, Scianna C, Milisenda G, Claudet J, Damalas D, Carbonara P, Colloca F, Evangelopoulos A, Isajlović I, Karampetsis D, Ligas A, Marčeta B, Nenciu M, Nita V, Panayotova M, Sabatella R, Sartor P, Sgardeli V, Thasitis I, Todorova V, Vrgoč N, Scannella D, Vitale S, Di Franco A. Deficiencies in monitoring practices of marine protected areas in southern European seas. J Environ Manage 2024; 355:120476. [PMID: 38442657 DOI: 10.1016/j.jenvman.2024.120476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/02/2024] [Accepted: 02/20/2024] [Indexed: 03/07/2024]
Abstract
Worldwide, states are gazetting new Marine Protected Areas (MPAs) to meet the international commitment of protecting 30% of the seas by 2030. Yet, protection benefits only come into effect when an MPA is implemented with activated regulations and actively managed through continuous monitoring and adaptive management. To assess if actively managed MPAs are the rule or the exception, we used the Mediterranean and Black Seas as a case study, and retrieved information on monitoring activities for 878 designated MPAs in ten European Union (EU) countries. We searched for scientific and grey literature that provides information on the following aspects of MPA assessment and monitoring: ecological (e.g., biomass of commercially exploited fish), social (e.g., perceptions of fishers in an MPA), economic (e.g., revenue of fishers) and governance (e.g., type of governance scheme). We also queried MPA authorities on their past and current monitoring activities using a web-based survey through which we collected 123 responses. Combining the literature review and survey results, we found that approximately 16% of the MPA designations (N = 878) have baseline and/or monitoring studies. Most monitoring programs evaluated MPAs based solely on biological/ecological variables and fewer included social, economic and/or governance variables, failing to capture and assess the social-ecological dimension of marine conservation. To increase the capacity of MPAs to design and implement effective social-ecological monitoring programs, we recommend strategies revolving around three pillars: funding, collaboration, and technology. Following the actionable recommendations presented herein, MPA authorities and EU Member States could improve the low level of MPA monitoring to more effectively reach the 30% protection target delivering benefits for biodiversity conservation.
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Affiliation(s)
- Sylvaine Giakoumi
- Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, Sicily Marine Centre, Lungomare Cristoforo Colombo (complesso Roosevelt), 90149 Palermo, Italy.
| | - Katie Hogg
- Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, Sicily Marine Centre, Lungomare Cristoforo Colombo (complesso Roosevelt), 90149 Palermo, Italy
| | - Manfredi Di Lorenzo
- Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, Sicily Marine Centre, Lungomare Cristoforo Colombo (complesso Roosevelt), 90149 Palermo, Italy
| | - Nicolas Compain
- National Center for Scientific Research, PSL Université Paris, CRIOBE, CNRS-EPHE-UPVD, Maison de l'Océan, 195 rue Saint-Jacques, 75005, Paris, France
| | - Claudia Scianna
- Calabria Marine Centre, Stazione Zoologica Anton Dohrn, 87071, Amendolara, Italy
| | - Giacomo Milisenda
- Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, Sicily Marine Centre, Lungomare Cristoforo Colombo (complesso Roosevelt), 90149 Palermo, Italy
| | - Joachim Claudet
- National Center for Scientific Research, PSL Université Paris, CRIOBE, CNRS-EPHE-UPVD, Maison de l'Océan, 195 rue Saint-Jacques, 75005, Paris, France
| | - Dimitrios Damalas
- Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, P.O. Box 2214, 71003, Heraklion, Greece
| | - Pierluigi Carbonara
- Fondazione COISPA, Stazione Sperimentale per lo Studio del Mare, via dei Trulli 18-20, 70126, Bari, Italy
| | - Francesco Colloca
- Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, 00198, Rome, Italy
| | | | - Igor Isajlović
- Institute of Oceanography and Fisheries, Set. I. Mestrovica 63, 21000, Split, Croatia
| | | | - Alessandro Ligas
- Consorzio per il Centro Interuniversitario di Biologia Marina ed Ecologia Applicata "G. Bacci" (CIBM), viale Nazario Sauro 4, 57128, Livorno, Italy
| | - Bojan Marčeta
- Fisheries Research Institute of Slovenia, Spodnje Gameljne 61 a 1211 Ljubljana, 1211, Ljubljana, Slovenia
| | - Magda Nenciu
- National Institute for Marine Research and Development "Grigore Antipa", 300 Mamaia Blvd., Constanta, 900581, Romania
| | - Victor Nita
- National Institute for Marine Research and Development "Grigore Antipa", 300 Mamaia Blvd., Constanta, 900581, Romania
| | - Marina Panayotova
- Institute of Oceanology - Bulgarian Academy of Sciences, P.O.Box 152, 9000, Varna, Bulgaria
| | | | - Paolo Sartor
- Consorzio per il Centro Interuniversitario di Biologia Marina ed Ecologia Applicata "G. Bacci" (CIBM), viale Nazario Sauro 4, 57128, Livorno, Italy
| | - Vasiliki Sgardeli
- Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, P.O. Box 2214, 71003, Heraklion, Greece
| | - Ioannis Thasitis
- Department of Fisheries and Marine Research, 2033, Nicosia, Cyprus
| | - Valentina Todorova
- Institute of Oceanology - Bulgarian Academy of Sciences, P.O.Box 152, 9000, Varna, Bulgaria
| | - Nedo Vrgoč
- Institute of Oceanography and Fisheries, Set. I. Mestrovica 63, 21000, Split, Croatia
| | - Danilo Scannella
- National Research Council (CNR) - Institute for Marine Biological Resources and Biotechnology (IRBIM), 91026, Mazara del Vallo (TP), Italy; NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Sergio Vitale
- National Research Council (CNR) - Institute for Marine Biological Resources and Biotechnology (IRBIM), 91026, Mazara del Vallo (TP), Italy; NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Antonio Di Franco
- Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, Sicily Marine Centre, Lungomare Cristoforo Colombo (complesso Roosevelt), 90149 Palermo, Italy
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2
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Wang Y, Liu P, VanTassell J, Hilton SP, Guo L, Sablon O, Wolfe M, Freeman L, Rose W, Holt C, Browning M, Bryan M, Waller L, Teunis PFM, Moe CL. When case reporting becomes untenable: Can sewer networks tell us where COVID-19 transmission occurs? Water Res 2023; 229:119516. [PMID: 37379453 PMCID: PMC9763902 DOI: 10.1016/j.watres.2022.119516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 12/11/2022] [Accepted: 12/18/2022] [Indexed: 06/30/2023]
Abstract
Monitoring SARS-CoV-2 in wastewater is a valuable approach to track COVID-19 transmission. Designing wastewater surveillance (WWS) with representative sampling sites and quantifiable results requires knowledge of the sewerage system and virus fate and transport. We developed a multi-level WWS system to track COVID-19 in Atlanta using an adaptive nested sampling strategy. From March 2021 to April 2022, 868 wastewater samples were collected from influent lines to wastewater treatment facilities and upstream community manholes. Variations in SARS-CoV-2 concentrations in influent line samples preceded similar variations in numbers of reported COVID-19 cases in the corresponding catchment areas. Community sites under nested sampling represented mutually-exclusive catchment areas. Community sites with high SARS-CoV-2 detection rates in wastewater covered high COVID-19 incidence areas, and adaptive sampling enabled identification and tracing of COVID-19 hotspots. This study demonstrates how a well-designed WWS provides actionable information including early warning of surges in cases and identification of disease hotspots.
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Affiliation(s)
- Yuke Wang
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Pengbo Liu
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Jamie VanTassell
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Stephen P Hilton
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Lizheng Guo
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Orlando Sablon
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Marlene Wolfe
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Lorenzo Freeman
- City of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA
| | - Wayne Rose
- City of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA
| | - Carl Holt
- City of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA
| | - Mikita Browning
- City of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA
| | - Michael Bryan
- Georgia Department of Public Health, Atlanta, GA 30303, USA
| | - Lance Waller
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Peter F M Teunis
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Christine L Moe
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
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Picard MH, Zaiko A, Tidy AM, Kelly DJ, Thomson-Laing G, Wilkinson SP, Pochon X, Vandergoes MJ, Hawes I, Wood SA. Optimal sample type and number vary in small shallow lakes when targeting non-native fish environmental DNA. PeerJ 2023; 11:e15210. [PMID: 37151294 PMCID: PMC10162041 DOI: 10.7717/peerj.15210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 03/20/2023] [Indexed: 05/09/2023] Open
Abstract
Non-native fish have been shown to have deleterious impacts on freshwater ecosystems in New Zealand. Early detection is critical for their effective management. Traditional capture-based techniques may not detect newly introduced fish, especially if they are present in low abundance. Molecular techniques that target environmental DNA (eDNA) have been shown, in many instances, to be more sensitive, cost-effective and require lower sampling effort. However, appropriate sampling strategies are needed to ensure robust and interpretable data are obtained. In this study we used droplet digital PCR assays to investigate the presence of two non-native fish in New Zealand, the European perch (Perca fluviatilis) and rudd (Scardinius erythrophthalmus) in three small lakes. Samples were collected from water and surface sediment at near-shore and mid-lake sites. Probabilistic modelling was used to assess the occupancy of fish eDNA and develop guidance on sampling strategies. Based on the detection probability measures from the present study, at least six sites and five replicates per site are needed to reliably detect fish eDNA in sediment samples, and twelve sites with eight replicates per site for water samples. The results highlight the potential of developing monitoring and surveillance programs adapted to lakes, that include the use of assays targeting eDNA. This study focused on small shallow lakes, and it is likely that these recommendations may vary in larger, deeper, and more geomorphologically complex lakes, and this requires further research.
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Affiliation(s)
- Maïlys H.V. Picard
- School of Biological Sciences, Department of Biological Sciences, University of Waikato, Hamilton, New Zealand
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
| | - Anastasija Zaiko
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
- Institute of Marine Science, University of Auckland, Warkworth, New Zealand
| | | | - David J. Kelly
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
| | | | | | - Xavier Pochon
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
- Institute of Marine Science, University of Auckland, Warkworth, New Zealand
| | | | - Ian Hawes
- School of Biological Sciences, Department of Biological Sciences, University of Waikato, Hamilton, New Zealand
| | - Susanna A. Wood
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
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Mack L, de la Hoz CF, Penk M, Piggott J, Crowe T, Hering D, Kaijser W, Aroviita J, Baer J, Borja A, Clark DE, Fernández-Torquemada Y, Kotta J, Matthaei CD, O'Beirn F, Paerl HW, Sokolowski A, Vilmi A, Birk S. Perceived multiple stressor effects depend on sample size and stressor gradient length. Water Res 2022; 226:119260. [PMID: 36279611 DOI: 10.1016/j.watres.2022.119260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 06/16/2023]
Abstract
Multiple stressors are continuously deteriorating surface waters worldwide, posing many challenges for their conservation and restoration. Combined effect types of multiple stressors range from single-stressor dominance to complex interactions. Identifying prevalent combined effect types is critical for environmental management, as it helps to prioritise key stressors for mitigation. However, it remains unclear whether observed single and combined stressor effects reflect true ecological processes unbiased by sample size and length of stressor gradients. Therefore, we examined the role of sample size and stressor gradient lengths in 158 paired-stressor response cases with over 120,000 samples from rivers, lakes, transitional and marine ecosystems around the world. For each case, we split the overall stressor gradient into two partial gradients (lower and upper) and investigated associated changes in single and combined stressor effects. Sample size influenced the identified combined effect types, and stressor interactions were less likely for cases with fewer samples. After splitting gradients, 40 % of cases showed a change in combined effect type, 30 % no change, and 31 % showed a loss in stressor effects. These findings suggest that identified combined effect types may often be statistical artefacts rather than representing ecological processes. In 58 % of cases, we observed changes in stressor effect directions after the gradient split, suggesting unimodal stressor effects. In general, such non-linear responses were more pronounced for organisms at higher trophic levels. We conclude that observed multiple stressor effects are not solely determined by ecological processes, but also strongly depend on sampling design. Observed effects are likely to change when sample size and/or gradient length are modified. Our study highlights the need for improved monitoring programmes with sufficient sample size and stressor gradient coverage. Our findings emphasize the importance of adaptive management, as stress reduction measures or further ecosystem degradation may change multiple stressor-effect relationships, which will then require associated changes in management strategies.
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Affiliation(s)
- Leoni Mack
- Faculty of Aquatic Ecology, University of Duisburg-Essen, Universitätsstraße 5, Essen D-45141, Germany.
| | - Camino Fernández de la Hoz
- Environmental Hydraulics Institute, Universidad de Cantabria, Spain; Earth Institute and School of Biology and Environmental Science, University College Dublin, Ireland
| | - Marcin Penk
- Department of Zoology, Trinity College Dublin, Ireland
| | | | - Tasman Crowe
- Earth Institute and School of Biology and Environmental Science, University College Dublin, Ireland
| | - Daniel Hering
- Faculty of Aquatic Ecology, University of Duisburg-Essen, Universitätsstraße 5, Essen D-45141, Germany; Centre of Water and Environmental Research, University of Duisburg-Essen, Essen, Germany
| | - Willem Kaijser
- Faculty of Aquatic Ecology, University of Duisburg-Essen, Universitätsstraße 5, Essen D-45141, Germany
| | - Jukka Aroviita
- Freshwater Centre, Finnish Environment Institute (SYKE), Oulu, Finland
| | - Jan Baer
- Fisheries Research Station Baden-Württemberg, Langenargen, Germany
| | - Angel Borja
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain; Faculty of Marine Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | | | | | - Jonne Kotta
- Estonian Marine Institute, University of Tartu, Tallinn, Estonia
| | | | | | - Hans W Paerl
- Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, USA
| | - Adam Sokolowski
- Faculty of Oceanography and Geography, Institute of Oceanography, University of Gdańsk, Gdynia, Poland
| | - Annika Vilmi
- Freshwater Centre, Finnish Environment Institute (SYKE), Oulu, Finland
| | - Sebastian Birk
- Faculty of Aquatic Ecology, University of Duisburg-Essen, Universitätsstraße 5, Essen D-45141, Germany
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5
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Moon J, Jung I. A simulation study for geographic cluster detection analysis on population-based health survey data using spatial scan statistics. Int J Health Geogr 2022; 21:11. [PMID: 36085072 PMCID: PMC9463844 DOI: 10.1186/s12942-022-00311-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 08/26/2022] [Indexed: 11/15/2022] Open
Abstract
Background In public health and epidemiology, spatial scan statistics can be used to identify spatial cluster patterns of health-related outcomes from population-based health survey data. Although it is appropriate to consider the complex sample design and sampling weight when analyzing complex sample survey data, the observed survey responses without these considerations are often used in many studies related to spatial cluster detection. Methods We conducted a simulation study to investigate which data type from complex survey data is more suitable for use by comparing the spatial cluster detection results of three approaches: (1) individual-level data, (2) weighted individual-level data, and (3) aggregated data. Results The results of the spatial cluster detection varied depending on the data type. To compare the performance of spatial cluster detection, sensitivity and positive predictive value (PPV) were evaluated over 100 iterations. The average sensitivity was high for all three approaches, but the average PPV was higher when using aggregated data than when using individual-level data with or without sampling weights. Conclusions Through the simulation study, we found that use of aggregate-level data is more appropriate than other types of data, when searching for spatial clusters using spatial scan statistics on population-based health survey data.
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Affiliation(s)
- Jisu Moon
- Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Inkyung Jung
- Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
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Richards LA, Fox BG, Bowes MJ, Khamis K, Kumar A, Kumari R, Kumar S, Hazra M, Howard B, Thorn RMS, Read DS, Nel HA, Schneidewind U, Armstrong LK, Nicholls DJE, Magnone D, Ghosh A, Chakravorty B, Joshi H, Dutta TK, Hannah DM, Reynolds DM, Krause S, Gooddy DC, Polya DA. A systematic approach to understand hydrogeochemical dynamics in large river systems: Development and application to the River Ganges (Ganga) in India. Water Res 2022; 211:118054. [PMID: 35066262 DOI: 10.1016/j.watres.2022.118054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 12/16/2021] [Accepted: 01/09/2022] [Indexed: 06/14/2023]
Abstract
Large river systems, such as the River Ganges (Ganga), provide crucial water resources for the environment and society, yet often face significant challenges associated with cumulative impacts arising from upstream environmental and anthropogenic influences. Understanding the complex dynamics of such systems remains a major challenge, especially given accelerating environmental stressors including climate change and urbanization, and due to limitations in data and process understanding across scales. An integrated approach is required which robustly enables the hydrogeochemical dynamics and underpinning processes impacting water quality in large river systems to be explored. Here we develop a systematic approach for improving the understanding of hydrogeochemical dynamics and processes in large river systems, and apply this to a longitudinal survey (> 2500 km) of the River Ganges (Ganga) and key tributaries in the Indo-Gangetic basin. This framework enables us to succinctly interpret downstream water quality trends in response to the underpinning processes controlling major element hydrogeochemistry across the basin, based on conceptual water source signatures and dynamics. Informed by a 2019 post-monsoonal survey of 81 river bank-side sampling locations, the spatial distribution of a suite of selected physico-chemical and inorganic parameters, combined with segmented linear regression, reveals minor and major downstream hydrogeochemical transitions. We use this information to identify five major hydrogeochemical zones, characterized, in part, by the inputs of key tributaries, urban and agricultural areas, and estuarine inputs near the Bay of Bengal. Dominant trends are further explored by investigating geochemical relationships (e.g. Na:Cl, Ca:Na, Mg:Na, Sr:Ca and NO3:Cl), and how water source signatures and dynamics are modified by key processes, to assess the relative importance of controls such as dilution, evaporation, water-rock interactions (including carbonate and silicate weathering) and anthropogenic inputs. Mixing/dilution between sources and water-rock interactions explain most regional trends in major ion chemistry, although localized controls plausibly linked to anthropogenic activities are also evident in some locations. Temporal and spatial representativeness of river bank-side sampling are considered by supplementary sampling across the river at selected locations and via comparison to historical records. Limitations of such large-scale longitudinal sampling programs are discussed, as well as approaches to address some of these inherent challenges. This approach brings new, systematic insight into the basin-wide controls on the dominant geochemistry of the River Ganga, and provides a framework for characterising dominant hydrogeochemical zones, processes and controls, with utility to be transferable to other large river systems.
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Affiliation(s)
- Laura A Richards
- Department of Earth and Environmental Sciences and Williamson Research Centre for Molecular Environmental Science, The University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, United Kingdom.
| | - Bethany G Fox
- Department of Applied Sciences, University of the West of England, Bristol, BS16 1QY, United Kingdom
| | - Michael J Bowes
- UK Centre for Ecology & Hydrology, MacLean Building, Wallingford, Oxfordshire, OX10 8BB, United Kingdom
| | - Kieran Khamis
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - Arun Kumar
- Mahavir Cancer Sansthan and Research Centre, Phulwarisharif, Patna, 801505, Bihar, India
| | - Rupa Kumari
- Mahavir Cancer Sansthan and Research Centre, Phulwarisharif, Patna, 801505, Bihar, India
| | - Sumant Kumar
- Groundwater Hydrology Division, National Institute of Hydrology Roorkee, Roorkee, 247667, Uttarakhand, India
| | - Moushumi Hazra
- Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
| | - Ben Howard
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - Robin M S Thorn
- Department of Applied Sciences, University of the West of England, Bristol, BS16 1QY, United Kingdom
| | - Daniel S Read
- UK Centre for Ecology & Hydrology, MacLean Building, Wallingford, Oxfordshire, OX10 8BB, United Kingdom
| | - Holly A Nel
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - Uwe Schneidewind
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - Linda K Armstrong
- UK Centre for Ecology & Hydrology, MacLean Building, Wallingford, Oxfordshire, OX10 8BB, United Kingdom
| | - David J E Nicholls
- UK Centre for Ecology & Hydrology, MacLean Building, Wallingford, Oxfordshire, OX10 8BB, United Kingdom
| | - Daniel Magnone
- School of Geography, University of Lincoln, Lincoln, LN6 7TS, United Kingdom
| | - Ashok Ghosh
- Mahavir Cancer Sansthan and Research Centre, Phulwarisharif, Patna, 801505, Bihar, India
| | | | - Himanshu Joshi
- Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
| | - Tapan K Dutta
- Bose Institute, Centenary Campus, P-1/12 C.I.T Scheme VII-M, Kolkata 700054, India
| | - David M Hannah
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - Darren M Reynolds
- Department of Applied Sciences, University of the West of England, Bristol, BS16 1QY, United Kingdom
| | - Stefan Krause
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - Daren C Gooddy
- British Geological Survey, Maclean Building, Wallingford, Oxfordshire OX10 8BB, United Kingdom
| | - David A Polya
- Department of Earth and Environmental Sciences and Williamson Research Centre for Molecular Environmental Science, The University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, United Kingdom
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7
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Cui Z, Zhao W, Zhang Y, Zhao N, Shan G, Yu X, Ye X. Testing the efficacy of camera-trap sampling designs for monitoring giant pandas in a heterogeneous landscape. Environ Sci Pollut Res Int 2022; 29:14098-14110. [PMID: 34601689 DOI: 10.1007/s11356-021-16765-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Accepted: 09/23/2021] [Indexed: 06/13/2023]
Abstract
The use of camera traps is prevalent in the ecological study of giant pandas (Ailuropoda melanoleuca). The reliability of camera-trap surveying results greatly depends on sampling designs that significantly influence the detection probability of the target species. Few studies have tested the efficacy of sampling designs on camera-trap surveys for monitoring giant pandas in a heterogeneous landscape. In this study, we conducted camera trapping of giant pandas based on two different sampling schemes in Changqing National Nature Reserve of China, and evaluated their outcomes based on three aspects: occupancy analysis, photographic rate, and activity pattern. The results demonstrated that both climate heterogeneity and distance to the nearest road had a strong positive influence on site occupancy, and slope and forest cover had a significant negative impact on site occupancy. Significant differences in the direction or magnitude of variables' influences indicated that there were apparently spatial-temporal dynamics of giant panda distribution between two sampling schemes. The low detection probabilities indicated that both sampling schemes were not robust to accurately monitor giant pandas in the whole study area. We recommended that more suitable sampling designs with local covariates be developed for camera-trap surveys monitoring giant pandas to account for temporal variability and small-scale variation in heterogeneous landscapes.
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Affiliation(s)
- Zhenxia Cui
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, People's Republic of China
- Research Center for UAV Remote Sensing, Shaanxi Normal University, Xi'an, 710119, People's Republic of China
| | - Wenai Zhao
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, People's Republic of China
- Research Center for UAV Remote Sensing, Shaanxi Normal University, Xi'an, 710119, People's Republic of China
| | - Yashuai Zhang
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, People's Republic of China
- Research Center for UAV Remote Sensing, Shaanxi Normal University, Xi'an, 710119, People's Republic of China
| | - Naxun Zhao
- Administration of Shaanxi Changqing National Nature Reserve, Hanzhong, 723000, People's Republic of China
| | - Guoyu Shan
- Administration of Shaanxi Changqing National Nature Reserve, Hanzhong, 723000, People's Republic of China
| | - Xiaoping Yu
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, People's Republic of China
- Research Center for UAV Remote Sensing, Shaanxi Normal University, Xi'an, 710119, People's Republic of China
| | - Xinping Ye
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
- Research Center for UAV Remote Sensing, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
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Wang J, Zhao X, Zhao D, Triantafilis J. Selecting optimal calibration samples using proximal sensing EM induction and γ-ray spectrometry data: An application to managing lime and magnesium in sugarcane growing soil. J Environ Manage 2021; 296:113357. [PMID: 34351291 DOI: 10.1016/j.jenvman.2021.113357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 06/30/2021] [Accepted: 07/19/2021] [Indexed: 06/13/2023]
Abstract
Calcium (Ca) and magnesium (Mg) are essential for growth of sugarcane leaves and roots, as well as respiration and nitrogen metabolism, respectively. To assist farmers decide suitable application rates of lime and Mg fertiliser, respectively, the Australian sugarcane industry established the Six-Easy-Steps nutrient management guidelines based on topsoil (0-0.3 m) Ca (cmol(+) kg-1) and Mg (cmol(+) kg-1). Given the heterogeneous nature of soil, digital soil mapping (DSM) methods can be employed to allow for the precise application rate to be determined. In this study, we examine statistical models (i.e., ordinary kriging [OK], linear mixed model [LMM], quantile regression forests [QRF], support vector machine [SVM], and Cubist regression kriging [CubistRK]) to predict topsoil and subsoil (0.6-0.9) Ca and Mg, employing digital data in combination (i.e., proximal sensing electromagnetic induction (EMI) [e.g., 1mPcon, 1mHcon, etc.], gamma-ray [γ-ray] spectrometry [i.e., TC, K, U and Th] and digital elevation model [DEM] derivatives). We also investigate various sampling designs (i.e., spatial coverage [SCS], feature space coverage [FSCS], conditioned Latin hypercube [cLHS] and simple random sampling [SRS]) and calibration sample size (i.e., n = 180, 150, 120, 90, 60 and 30). The predictions are assessed using Lin's concordance correlation coefficient (LCCC) and ratio of performance to interquartile distance (RPIQ) with an independent validation dataset (i.e., n = 40). The best results were for prediction of subsoil Mg, utilising CubistRK (LCCC = 0.82) with the largest calibration sample size (n = 180), followed by LMM (0.79), SVM (0.76), QRF (0.70) and OK (0.65). This was generally the case for topsoil and subsoil Ca. We also conclude that no single sampling design was universally better, and 180 samples were necessary for predicting topsoil Ca and Mg with moderate agreement (0.65 < LCCC < 0.80). However, with FSCS, a minimum of 120 samples were enough to calibrate a CubistRK model and achieve substantial (LCCC > 0.80) agreement for predicting subsoil Ca and Mg. With respect to soil use and management according to the Six-Easy-Steps, the sandy soil in the north and south require large application rate of lime (3.5 t/ha) and Mg (125 kg/ha), respectively. Conversely, varying amounts of fertiliser rates of lime (2.0, 1.5 and 1 t/ha) and Mg (50 kg/ha) were recommended where Vertosols were previously mapped.
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Affiliation(s)
- Jie Wang
- School of Biological, Earth and Environmental Sciences, UNSW Sydney, Kensington, NSW, 2052, Australia
| | - Xueyu Zhao
- School of Biological, Earth and Environmental Sciences, UNSW Sydney, Kensington, NSW, 2052, Australia
| | - Dongxue Zhao
- School of Biological, Earth and Environmental Sciences, UNSW Sydney, Kensington, NSW, 2052, Australia
| | - John Triantafilis
- Manaaki Whenua Landcare Research, P.O. Box 69040, Lincoln, 7640, New Zealand.
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9
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Świdwa-Urbańska J, Batlle-Sales J. Data quality oriented procedure, for detailed mapping of heavy metals in urban topsoil as an approach to human health risk assessment. J Environ Manage 2021; 295:113019. [PMID: 34157543 DOI: 10.1016/j.jenvman.2021.113019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 05/28/2021] [Accepted: 06/03/2021] [Indexed: 06/13/2023]
Abstract
Urban soils' health is important to the community because of the soils' potential use for recreational activities. A data quality-oriented approach to sampling design is proposed for performing soil representative surveys that gives support to defensible and statistically-based decisions. Krowoderski park in Cracow (Poland) was selected as a study case to investigate heavy metals (HMs) accumulation and to assess human risk exposure according to simulated scenarios. Statistical power was computed for optimizing the number of samples to compare HMs concentration against legal upper tolerance levels (LUTL). The samples' location was iteratively designed as random spatial distribution throughout the study area, followed by K Ripley's test for selecting the best sampling scheme and avoiding points of clustering or dispersion at several ranges. The total content of Cd, Cu, Pb, Zn, coarse size particles fraction and fine size particles texture, bulk density, pH, total C and S were measured in topsoil at each location using composite sampling. The hydraulic properties were estimated using pedotransfer functions. Statistical analysis of topsoil data shows low correlation between heavy metals, whereas high correlation was found between total S with Cu and Pb as well as total C with Cu and Pb. The concentration of all the HMs analysed was found to be under LUTL in all locations in the park, except for one point that is an outlier for Pb, although the values of several indexes for pooled HMs categorize the park as medium to highly polluted. Spatial autocorrelation was explored for every heavy metal and for elaborated pollution indexes, then maps were drawn using geostatistics. A human health risk assessment (HHRA) was computed for several simulated scenarios finding that risk exists for children from Pb through high ingestion of soil particles.
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Affiliation(s)
- Joanna Świdwa-Urbańska
- AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, Department of Environmental Management and Protection, Cracow, Poland.
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10
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Masoudi P, Le Coz M, Gonze MA, Cazala C. Estimation of fukushima radio-cesium deposits by airborne surveys: Sensitivity to the flight-line spacing. J Environ Radioact 2020; 222:106318. [PMID: 32554168 DOI: 10.1016/j.jenvrad.2020.106318] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 04/03/2020] [Accepted: 05/25/2020] [Indexed: 06/11/2023]
Abstract
After Fukushima Daiichi Nuclear Power Plant (FDNPP) accident, airborne gamma-ray detection was used for regional mapping of soil contamination. For such surveys, the flight-line spacing is an important factor controlling the quality of contamination maps. In this study, cesium-137 (137Cs) ground activity is interpolated and mapped using ordinary kriging method; thereafter the error of interpolation is evaluated as a function of flight-line spacing. The analyses were conducted in six 20 km × 20 km test sites with distance of less than 80 km from the FDNPP. In each site, the ordinary kriging estimators were applied to different selections of flight-lines of decreasing density, then punctual and classification errors were calculated. It is demonstrated that these variables are highly correlated (r2 > 0.78): increasing the flight-line spacing for 1 km increases the errors from 3% to 9%, depending on the site location. Therefore, flight-line spacing could be designed as a function of acceptable error, determined in the monitoring objectives.
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Affiliation(s)
- Pedram Masoudi
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSE-ENV/SEDRE, 31 avenue de la Division Leclerc, 92260, Fontenay-aux-Roses, France
| | - Mathieu Le Coz
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSE-ENV/SEDRE, 31 avenue de la Division Leclerc, 92260, Fontenay-aux-Roses, France.
| | - Marc-André Gonze
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSE-ENV/SEDRE, 13115, Saint-Paul-lez-Durance, France
| | - Charlotte Cazala
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSE-ENV/SEDRE, 31 avenue de la Division Leclerc, 92260, Fontenay-aux-Roses, France
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11
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Panteli N, Mastoraki M, Nikouli E, Lazarina M, Antonopoulou E, Kormas KA. Imprinting statistically sound conclusions for gut microbiota in comparative animal studies: A case study with diet and teleost fishes. Comp Biochem Physiol Part D Genomics Proteomics 2020; 36:100738. [PMID: 32896688 DOI: 10.1016/j.cbd.2020.100738] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 12/12/2022]
Abstract
Despite the technical progress in high-throughput sequencing technologies, defining the sample size which is capable of yielding representative inferences in metabarcoding analysis still remains debatable. The present study addresses the influence of individual variability in assessing dietary effects on fish gut microbiota parameters and estimates the biological sample size that is sufficient to imprint a statistically secure outcome. European sea bass (Dicentrarchus labrax) and gilthead sea bream (Sparus aurata) were fed three alternative animal protein diets and a fishmeal control diet. Gut microbiota data from 12 individuals per diet, derived from Illumina sequencing of the V3-V4 region of the 16S rRNA gene, were randomized in all possible combinations of n-1 individuals. Results in this study showcased that increasing the sample size can limit the prevalence of individuals with high microbial load on the outcome and can ensure the statistical confidence required for an accurate validation of dietary-induced microbe shifts. Inter-individual variability was evident in the four dietary treatments where consequently misleading inferences arose from insufficient biological replication. These findings have critical implications for the design of future metabarcoding studies and highlight the urgency in selecting an adequate sample size able to safely elucidate the dietary effects on fish gut microbial communities.
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Affiliation(s)
- Nikolas Panteli
- Department of Zoology, School of Biology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
| | - Maria Mastoraki
- Department of Zoology, School of Biology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
| | - Eleni Nikouli
- Department of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, 384 46 Volos, Greece
| | - Maria Lazarina
- Department of Ecology, School of Biology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
| | - Efthimia Antonopoulou
- Department of Zoology, School of Biology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.
| | - Konstantinos A Kormas
- Department of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, 384 46 Volos, Greece
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12
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Tavares DC, Moura JF, Acevedo-Trejos E, Crawford RJM, Makhado A, Lavers JL, Witteveen M, Ryan PG, Merico A. Confidence intervals and sample size for estimating the prevalence of plastic debris in seabird nests. Environ Pollut 2020; 263:114394. [PMID: 32234635 DOI: 10.1016/j.envpol.2020.114394] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/12/2020] [Accepted: 03/15/2020] [Indexed: 05/12/2023]
Abstract
Evidence is accumulating about the impacts of plastics on marine life. The prevalence of plastics in seabird nests has been used as an indicator of levels of this pollutant in the ocean. However, the lack of a framework for defining sample sizes and errors associated with estimating the prevalence of plastic in nests prevents researchers from optimising time and reducing impacts of fieldwork. We present a method to determine the confidence intervals for the prevalence of debris in seabird nests and provide, for the first time, information on the prevalence of these items in nests of the Hartlaub's gull Larus hartlaubii, the African penguin Spheniscus demersus, the great white pelican Pelecanus onocrotalus, and the white-breasted cormorant Phalacrocorax lucidus in South Africa. The method, based on observations and resampling simulations and tested here for nests of 12 seabird species from 15 locations worldwide, allows for straightforward hypothesis testing. Appropriate sample sizes can be defined by combining this method with a Bayesian approach. We show that precise estimates of prevalence of debris in nests can be obtained by sampling around 250 nests. Smaller sample sizes can be useful for obtaining rough estimates. For the Hartlaub's gull, the African penguin, the great white pelican, and the white-breasted cormorant, debris were present in 0.75%, 3.00%, 6.41%, and 25.62% of the respective nests. Our approach will help researchers to determine errors associated with the prevalence of debris recorded in seabird nests and to optimise time and costs spent collecting data. It can also be applied to estimate confidence intervals and define sample sizes for assessing prevalence of plastic ingestion by any organism.
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Affiliation(s)
- Davi Castro Tavares
- Systems Ecology Group, Leibniz Centre for Tropical Marine Research (ZMT) GmbH, Fahrenheitstraße 6, 28359, Bremen, Germany.
| | - Jailson Fulgêncio Moura
- Systems Ecology Group, Leibniz Centre for Tropical Marine Research (ZMT) GmbH, Fahrenheitstraße 6, 28359, Bremen, Germany
| | - Esteban Acevedo-Trejos
- Systems Ecology Group, Leibniz Centre for Tropical Marine Research (ZMT) GmbH, Fahrenheitstraße 6, 28359, Bremen, Germany
| | - Robert J M Crawford
- Department of Environment, Forestry and Fisheries Oceans & Coasts Branch, Cape Town, South Africa
| | - Azwianewi Makhado
- Department of Environment, Forestry and Fisheries Oceans & Coasts Branch, Cape Town, South Africa
| | - Jennifer L Lavers
- Institute for Marine and Antarctic Studies, University of Tasmania, Battery Point, Tasmania, 7004, Australia
| | - Minke Witteveen
- FitzPatrick Institute of African Ornithology, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch, 7701, South Africa
| | - Peter G Ryan
- FitzPatrick Institute of African Ornithology, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch, 7701, South Africa
| | - Agostino Merico
- Systems Ecology Group, Leibniz Centre for Tropical Marine Research (ZMT) GmbH, Fahrenheitstraße 6, 28359, Bremen, Germany; Department of Physics & Earth Sciences, Jacobs University Bremen, Campus Ring 1, 28759, Bremen, Germany
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13
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Wadoux AMJC, Heuvelink GBM, Uijlenhoet R, de Bruin S. Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration. PeerJ 2020; 8:e9558. [PMID: 32821535 PMCID: PMC7396144 DOI: 10.7717/peerj.9558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 06/25/2020] [Indexed: 12/02/2022] Open
Abstract
River discharges are often predicted based on a calibrated rainfall-runoff model. The major sources of uncertainty, namely input, parameter and model structural uncertainty must all be taken into account to obtain realistic estimates of the accuracy of discharge predictions. Over the past years, Bayesian calibration has emerged as a suitable method for quantifying uncertainty in model parameters and model structure, where the latter is usually modelled by an additive or multiplicative stochastic term. Recently, much work has also been done to include input uncertainty in the Bayesian framework. However, the use of geostatistical methods for characterizing the prior distribution of the catchment rainfall is underexplored, particularly in combination with assessments of the influence of increasing or decreasing rain gauge network density on discharge prediction accuracy. In this article we integrate geostatistics and Bayesian calibration to analyze the effect of rain gauge density on river discharge prediction accuracy. We calibrated the HBV hydrological model while accounting for input, initial state, model parameter and model structural uncertainty, and also taking uncertainties in the discharge measurements into account. Results for the Thur basin in Switzerland showed that model parameter uncertainty was the main contributor to the joint posterior uncertainty. We also showed that a low rain gauge density is enough for the Bayesian calibration, and that increasing the number of rain gauges improved model prediction until reaching a density of one gauge per 340 km2. While the optimal rain gauge density is case-study specific, we make recommendations on how to handle input uncertainty in Bayesian calibration for river discharge prediction and present the methodology that may be used to carry out such experiments.
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Affiliation(s)
- Alexandre M J-C Wadoux
- Soil Geography and Landscape group, Wageningen University and Research, Wageningen, the Netherlands.,Current affiliation: Sydney Institute of Agriculture & School of Life and Environmental Sciences, The University of Sydney, Australia
| | - Gerard B M Heuvelink
- Soil Geography and Landscape group, Wageningen University and Research, Wageningen, the Netherlands
| | - Remko Uijlenhoet
- Hydrology and Quantitative Water Management group, Wageningen University and Research, Wageningen, the Netherlands
| | - Sytze de Bruin
- Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Wageningen, the Netherlands
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14
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Barletta M, Costa MF, Dantas DV. Ecology of microplastics contamination within food webs of estuarine and coastal ecosystems. MethodsX 2020; 7:100861. [PMID: 32300545 PMCID: PMC7152700 DOI: 10.1016/j.mex.2020.100861] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 03/06/2020] [Indexed: 12/05/2022] Open
Abstract
Microplastics contamination of food webs can be approached as part of estuarine ecosystem ecology. Standard sampling designs to study estuarine ecology allow comparisons along time and across space. The proposed methods detect shifts in fish feeding habit and to demonstrate the diversity of interactions among pollutant, environment and biota.
The aim was to describe a methodology developed to study the relationship among the spatio-temporal patterns of habitat utilization, feeding ecology and microplastics (MPs) contamination across the different ontogenetic phases of fishes belonging to different trophic levels and living along the riverine-estuarine-coastal food web. The Goiana Estuary‘s water column was examined for the seasonal and spatial variation of MPs and their quantification relative to zooplankton, demersal fish species contamination following the same sampling design. The density of MPs in the water column determines their bioavailability. Interest in studies on MPs distribution in relation to spatial and temporal variation of environmental factors and fauna are increasing in quantity and quality. If the ecological strategies presented in this study were replicated in other estuary, comparisons could be made in order to describe how ecosystems work. Standard protocols for sampling, extraction, enumeration and classification of MPs and others pollutant ingested by fishes have been developed and are presented here to encourage comparisons. Standardized and comparable sampling designs and laboratory procedures are an important strategy in order to devise and transfer managerial solutions among different sites and comparisons along time when studying the same environment.
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Affiliation(s)
- Mário Barletta
- Laboratório de Ecologia e Gerenciamento de Ecossistemas Costeiros e Estuarinos (LEGECE), Departamento de Oceanografia (DOCEAN), Universidade Federal de Pernambuco (UFPE), Campus Universitário, Recife, Pernambuco 50740-550, Brazil
| | - Monica F Costa
- Laboratório de Ecologia e Gerenciamento de Ecossistemas Costeiros e Estuarinos (LEGECE), Departamento de Oceanografia (DOCEAN), Universidade Federal de Pernambuco (UFPE), Campus Universitário, Recife, Pernambuco 50740-550, Brazil
| | - David V Dantas
- Programa de Pós-graduação em Planejamento Territorial e Desenvolvimento Socioambiental (PPGPLAN/FAED), Grupo de Gestão, Ecologia e Tecnologia Marinha (GTMar), Departamento de Engenharia de Pesca e Ciências Biológicas (DEPB), Universidade do Estado de Santa Catarina (UDESC), Laguna, Santa Catarina, Brazil
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15
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Duan K, Li K, Liang S, Li Y, Su Y, Wang X. Optimizing a coastal monitoring network using a water-quality response grid (WRG)-based sampling design for improved reliability and efficiency. Mar Pollut Bull 2019; 145:480-489. [PMID: 31590814 DOI: 10.1016/j.marpolbul.2019.06.046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 06/17/2019] [Accepted: 06/17/2019] [Indexed: 06/10/2023]
Abstract
Marine monitoring in Bohai Sea is delivered within three networks by lacking appropriate sampling and assessment methodologies. Water-quality response grid (WRG)-based sampling design using optimization and multi-factors assessment can reliably detect a variety of environmental impacts. Which includes 5 steps: selects environmental reference factors, divides the sampling grid, sets the initial stations, optimizes the sampling stations, and assesses the proposed network's reproducibility and efficiency. We applied this method to the Bohai Sea, the networks proposed here have 225 stations for optimized special surveys (OSS) and 181 stations for optimized operational monitoring (OOM), accounting for 46.5% and 37.4% of the original station totals, respectively. Besides, the reproducibility and efficiency index (REI) of OSS and OOM stations approximately 15.4% and 13.3% higher than three current monitoring networks on average among multi-factors in 4 seasons. Thus, the method can improve the reproducibility, efficiency and land-sea spatial matching of monitoring network.
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Affiliation(s)
- Ke Duan
- Key Laboratory of Marine Chemistry Theory and Technology (Ocean University of China), Ministry of Education, Qingdao 266100, China; College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China
| | - Keqiang Li
- Key Laboratory of Marine Chemistry Theory and Technology (Ocean University of China), Ministry of Education, Qingdao 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China.
| | - Shengkang Liang
- Key Laboratory of Marine Chemistry Theory and Technology (Ocean University of China), Ministry of Education, Qingdao 266100, China
| | - Yanbin Li
- Key Laboratory of Marine Chemistry Theory and Technology (Ocean University of China), Ministry of Education, Qingdao 266100, China
| | - Ying Su
- Key Laboratory of Marine Chemistry Theory and Technology (Ocean University of China), Ministry of Education, Qingdao 266100, China
| | - Xiulin Wang
- Key Laboratory of Marine Chemistry Theory and Technology (Ocean University of China), Ministry of Education, Qingdao 266100, China
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16
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Fernández-Zabala J, Tuya F, Amorim A, Soler-Onís E. Benthic dinoflagellates: Testing the reliability of the artificial substrate method in the Macaronesian region. Harmful Algae 2019; 87:101634. [PMID: 31349892 DOI: 10.1016/j.hal.2019.101634] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 04/29/2019] [Accepted: 06/18/2019] [Indexed: 06/10/2023]
Abstract
The suitability of the 'artificial substrate' method, i.e. standardized surfaces of fiberglass screens, for the quantification of four benthic harmful algal bloom (BHAB) dinoflagellates (Gambierdiscus, Ostreopsis, Prorocentrum and Coolia) was tested relative to estimates from natural macroalgal substrates. Sampling took place in a variety of intertidal and subtidal coastal habitats under different water motion conditions, at depths from 1 to 7 m, in two archipelagos of the Macaronesia region: The Canary Islands and Cape Verde. An immersion time of 24 h was sufficient to adequately estimate dinoflagellate abundances. Seven replicates were established as the ideal replication level, considering both reproducibility and sampling effort. In most cases, cell abundances of the four dinoflagellate genera showed lower variability on artificial substrates than on macroalgae, leading to more reliable estimates of abundances. The ratio of mean cell abundances on artificial substrates to mean cell abundances on macroalgae highly varied among sampling sites for each genus. This was especially true for Ostreopsis and Coolia. Thus, given the potentially harmful nature of benthic dinoflagellates, the transformation of abundances expressed as cells g-1 of macroalgae to abundances expressed as cells cm-2 is risky, and it should not be attempted in monitoring and management programs of harmful microalgae. In summary, results of this study support the use of artificial substrates in monitoring programs of BHAB dinoflagellates, while the risks of using macroalgae are stressed.
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Affiliation(s)
- Juan Fernández-Zabala
- Banco Español de Algas, FPCT de la Universidad de Las Palmas de Gran Canaria, Muelle de Taliarte s/n, 35215, Telde, Gran Canaria, Spain.
| | - Fernando Tuya
- IU-ECOAQUA, Grupo en Biodiversidad y Conservación, Universidad de Las Palmas de Gran Canaria, 35017, Las Palmas, Canary Islands, Spain
| | - Ana Amorim
- Faculdade de Ciências, Universidade de Lisboa, MARE-Marine and Environmental Sciences Centre, Campo Grande, 1749-016, Lisboa, Portugal; Faculdade de Ciências, Universidade de Lisboa, Departamento Biologia Vegetal, Campo Grande, 1749-016, Lisboa, Portugal
| | - Emilio Soler-Onís
- Banco Español de Algas, FPCT de la Universidad de Las Palmas de Gran Canaria, Muelle de Taliarte s/n, 35215, Telde, Gran Canaria, Spain
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17
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Van Hoey G, Wischnewski J, Craeymeersch J, Dannheim J, Enserink L, Guerin L, Marco-Rius F, O'Connor J, Reiss H, Sell AF, Vanden Berghe M, Zettler ML, Degraer S, Birchenough SNR. Methodological elements for optimising the spatial monitoring design to support regional benthic ecosystem assessments. Environ Monit Assess 2019; 191:423. [PMID: 31179522 DOI: 10.1007/s10661-019-7550-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Accepted: 05/21/2019] [Indexed: 06/09/2023]
Abstract
Benthic habitat condition assessments are a requirement under various environmental directives. The Marine Strategy Framework Directive (MSFD), for example, challenges member states in a European sea region to perform comparable assessments of good environmental status and improve coherence of their monitoring programmes by 2020. Currently, North Sea countries operate independent monitoring programmes using nationally defined assessment areas. Lack of an agreed OSPAR or EU scale monitoring method and programme has been identified as a priority science need. This paper proposes a method for the development of a coherent and efficient spatial sampling design for benthic habitats on regional level and gives advice on optimal monitoring effort to get more accurate assessments. We use ecologically relevant assessment areas (strata) across national borders and test spatial sample allocation methods. Furthermore, we investigate the number of samples needed in each stratum to reduce the variance for estimating mean number of taxa and abundance. The stratification needs to take into account the spatial heterogeneity of the entire ecosystem. The total sample effort is optimal when sample allocation takes into account the size and benthic variability within those strata. Change point analysis helps to find a balance between sampling effort and precision of the benthic parameter estimate. A joint sampling design for the North Sea could be generated by combining current efforts, and where needed adapting existing national programmes. This serves a coordinated, region-wide, benthic condition status assessment and strengthens regional cooperation to fulfil multiple monitoring tasks, with a scientifically underpinned common approach.
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Affiliation(s)
- Gert Van Hoey
- Animal Sciences Unit-Aquatic Environment and Quality, Flanders research institute for agriculture, fisheries and food, Ankerstraat 1, 8400, Oostende, Belgium.
| | - Julia Wischnewski
- Thünen Institute of Sea Fisheries, Herwigstraße 31, 27572, Bremerhaven, Germany
| | - Johan Craeymeersch
- Wageningen Marine Research, Korringaweg 7, 4401, NT, Yerseke, The Netherlands
| | - Jennifer Dannheim
- Helmholtz Centre for Polar and Marine Research, Alfred Wegener Institute, Am Handelshafen 12, 27570, Bremerhaven, Germany
- Helmholtz Institute for Functional Marine Biodiversity, Ammerländer Heerstraße 231, 26129, Oldenburg, Germany
| | - Lisette Enserink
- Rijkswaterstaat/Water, Traffic and Environment, Zuiderwagenplein 2, 8224, AD, Lelystad, The Netherlands
| | - Laurent Guerin
- Service des Stations Marines, Station Marine de Dinard, Muséum National d'Histoire Naturelle, 38 rue du Port Blanc, 35800, Dinard, Brittany, France
| | | | - Joey O'Connor
- Joint Nature Conservation Committee, Inverdee House, Baxter Street, Aberdeen, AB11 9QA, UK
| | - Henning Reiss
- Faculty of Aquaculture and Biosciences, Nord University, Postbox 1490, 8049, Bodø, Norway
| | - Anne F Sell
- Thünen Institute of Sea Fisheries, Herwigstraße 31, 27572, Bremerhaven, Germany
| | - Marie Vanden Berghe
- Operational Directorate Natural Environment, Marine Ecology and Management, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, 1000, Brussel, Belgium
| | - Michael L Zettler
- Leibniz Institute for Baltic Sea Research, Seestraße 15, 18119, Rostock-Warnemünde, Germany
| | - Steven Degraer
- Operational Directorate Natural Environment, Marine Ecology and Management, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, 1000, Brussel, Belgium
| | - Silvana N R Birchenough
- Centre for Environment, Fisheries and Aquaculture Science (Cefas), Pakefield Road, Lowestoft, Suffolk, NR330HT, UK
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Xu C, Zhu H, Nakatsuka T, Sano M, Li Z, Shi F, Liang E, Guo Z. Sampling strategy and climatic implication of tree-ring cellulose oxygen isotopes of Hippophae tibetana and Abies georgei on the southeastern Tibetan Plateau. Int J Biometeorol 2019; 63:679-686. [PMID: 28493142 DOI: 10.1007/s00484-017-1365-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 03/14/2017] [Accepted: 04/24/2017] [Indexed: 06/07/2023]
Abstract
The tree-ring cellulose oxygen isotopes (δ18O) for four trees of Hippophae tibetana and four trees of Abies georgei growing in different locations around the terminal moraine in Xincuo from 1951 to 2010 were measured to explore its potential for reconstructing climatic variations in the southeastern Tibetan Plateau. The mean and standard deviation of tree-ring δ18O at different heights do not have significant differences, and there are no significant differences in the mean and standard deviation of tree-ring δ18O between trees near the brook and trees at the top of moraine, indicating that we can collect samples for tree-ring δ18O analysis regardless of sampling heights and that the micro-environment does not affect tree-ring δ18O significantly. The mean inter-series correlations of cellulose δ18O for A. georgei/H. tibetana are 0.84/0.93, and the correlation between δ18O for A. georgei and H. tibetana is 0.92. The good coherence between inter-tree and inter-species cellulose δ18O demonstrates the possibility of using different species to develop a long chronology. Correlation analysis between tree-ring δ18O and climate parameters revealed that δ18O for A. georgei/H. tibetana had negative correlations (r = -0.62/r = -0.69) with relative humidity in July-August, and spatial correlation revealed that δ18O for A. georgei/H. tibetana reflected the regional Standardized Precipitation Evapotranspiration Index (29°-32° N, 88°-98° E). In addition, tree-ring δ18O in Xincuo has a significant correlation with tree-ring δ18O in Bhutan. The results indicate that cellulose δ18O for A. georgei and H. tibetana in Xincuo is a good proxy for the regional hydroclimate.
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Affiliation(s)
- Chenxi Xu
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Haifeng Zhu
- Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100085, China.
- CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China.
| | - Takeshi Nakatsuka
- Research Institute for Humanity and Nature, Motoyama, Kamigamo, Kita-ku, Kyoto, Japan
| | - Masaki Sano
- Research Institute for Humanity and Nature, Motoyama, Kamigamo, Kita-ku, Kyoto, Japan
| | - Zhen Li
- Research Institute for Humanity and Nature, Motoyama, Kamigamo, Kita-ku, Kyoto, Japan
| | - Feng Shi
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Eryuan Liang
- Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100085, China
- CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China
| | - Zhengtang Guo
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
- CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, China
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19
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Liang D, Harris LA, Testa JM, Lyubchich V, Filoso S. Detection of the effects of stormwater control measure in streams using a Bayesian BACI power analysis. Sci Total Environ 2019; 661:386-392. [PMID: 30677684 DOI: 10.1016/j.scitotenv.2019.01.125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/11/2019] [Accepted: 01/11/2019] [Indexed: 06/09/2023]
Abstract
The unpredictable timing and magnitude of precipitation events and the spatiotemporal variability of constituent concentrations are major complications to effective monitoring of watershed nutrient and sediment loads. Furthermore, detecting small changes in constituent loads in response to implementation of Stormwater control measures (SCMs) against natural variability is a challenge. Nevertheless, regulatory frameworks that direct reductions of pollutants to streams frequently depend on the ability to quantify changes in loads after management interventions. The before-after-control impact (BACI) sampling design is often used to assess the effects of an environmental change made at a known point in time. However, this approach may be complicated to apply to nutrient and sediment loads in streams as the relative impact of SCMs on nutrient concentration conditional on the long term variability of discharges has not been evaluated. Multi-scale monitoring studies that provide estimates of the natural temporal and spatial variability of discharge and concentrations could provide useful information in designing a BACI study. Here we use data from the Baltimore Long Term Ecological Research (LTER) sites and urban restoration sites to develop multiple statistical measures of the effectiveness of a given monitoring scheme in revealing the hypothesized restoration effects in terms of hydrology and nutrient loads. Stratified sampling over baseflow and stormflow and the use of multiple control streams were useful tools to detect long term cumulative reductions in concentrations due to SCMs. Moderate reductions in concentration (20%), however, were not detectable with the design options considered. We emphasize that appropriate pre-planning of monitoring schemes and sampling frequency is essential to determine if the effects on constituent loads resulting from a given watershed restoration activity are measurable.
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Affiliation(s)
- Dong Liang
- Environmental Statistics Collaborative, Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD 20688, United States of America.
| | - Lora A Harris
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD 20688, United States of America
| | - Jeremy M Testa
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD 20688, United States of America
| | - Vyacheslav Lyubchich
- Environmental Statistics Collaborative, Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD 20688, United States of America
| | - Solange Filoso
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD 20688, United States of America
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Puerta P, Ciannelli L, Johnson B. A simulation framework for evaluating multi-stage sampling designs in populations with spatially structured traits. PeerJ 2019; 7:e6471. [PMID: 30828489 PMCID: PMC6394348 DOI: 10.7717/peerj.6471] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2018] [Accepted: 01/16/2019] [Indexed: 11/20/2022] Open
Abstract
Selecting an appropriate and efficient sampling strategy in biological surveys is a major concern in ecological research, particularly when the population abundance and individual traits of the sampled population are highly structured over space. Multi-stage sampling designs typically present sampling sites as primary units. However, to collect trait data, such as age or maturity, only a sub-sample of individuals collected in the sampling site is retained. Therefore, not only the sampling design, but also the sub-sampling strategy can have a major impact on important population estimates, commonly used as reference points for management and conservation. We developed a simulation framework to evaluate sub-sampling strategies from multi-stage biological surveys. Specifically, we compare quantitatively precision and bias of the population estimates obtained using two common but contrasting sub-sampling strategies: the random and the stratified designs. The sub-sampling strategy evaluation was applied to age data collection of a virtual fish population that has the same statistical and biological characteristics of the Eastern Bering Sea population of Pacific cod. The simulation scheme allowed us to incorporate contributions of several sources of error and to analyze the sensitivity of the different strategies in the population estimates. We found that, on average across all scenarios tested, the main differences between sub-sampling designs arise from the inability of the stratified design to reproduce spatial patterns of the individual traits. However, differences between the sub-sampling strategies in other population estimates may be small, particularly when large sub-sample sizes are used. On isolated scenarios (representative of specific environmental or demographic conditions), the random sub-sampling provided better precision in all population estimates analyzed. The sensitivity analysis revealed the important contribution of spatial autocorrelation in the error of population trait estimates, regardless of the sub-sampling design. This framework will be a useful tool for monitoring and assessment of natural populations with spatially structured traits in multi-stage sampling designs.
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Affiliation(s)
- Patricia Puerta
- College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA.,Instituto Español de Oceanografía, Centro Oceanográfico de Baleares, Palma de Mallorca, Spain
| | - Lorenzo Ciannelli
- College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA
| | - Bethany Johnson
- College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA.,Applied Mathematics, Baskin School of Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
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Sajjad RU, Paule-Mercado MC, Salim I, Memon S, Sukhbaatar C, Lee CH. Temporal variability of suspended solids in construction runoff and evaluation of time-paced sampling strategies. Environ Monit Assess 2019; 191:110. [PMID: 30689056 DOI: 10.1007/s10661-019-7195-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 01/03/2019] [Indexed: 06/09/2023]
Abstract
The construction sites have been considered the type of land use with the highest pollution potential, especially due to the erosion of exposed soil surfaces. The runoff monitoring of the construction site was carried out since June 2011 through December 2015. Based on land use land cover (LULC) classification, the monitoring period was divided into active and post-construction phases. Total suspended solids (TSS) showed evident inter-phase variability in average annual event mean concentration (AAEMC) and wash-off pattern. We suggested that stringent runoff control measures should be adopted during active construction phase. Similarly, Personalized Computer Storm Water Management Model (PCSWMM) was applied to evaluate the performance of the time-paced discrete and composite sampling scheme in continuously changing LC scenario. It was found that even though the time-paced composite sampling scheme is more cost effective, it showed lower performance in EMC estimation when compared with the time-paced discrete sampling approach. The results also showed that the storm event monitored at a time discrete frequency of 5 min, 10 min, and 15 min, the maximum expected mean bias will be under the accepted level of 10% of the true EMC value. We concluded that construction phase-specific modifications in sampling scheme provides a view to generate near accurate estimates.
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Affiliation(s)
- Raja Umer Sajjad
- Department of Environmental Engineering and Energy, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin-si, Gyeonggi-do, 17058, Republic of Korea
- Department of Environmental Science, COMSATS University Islamabad, Abbottabad Campus, Abbotabad, 22060, Pakistan
| | - Ma Cristina Paule-Mercado
- Department of Environmental Engineering and Energy, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin-si, Gyeonggi-do, 17058, Republic of Korea
| | - Imran Salim
- Department of Environmental Engineering and Energy, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin-si, Gyeonggi-do, 17058, Republic of Korea
| | - Sheeraz Memon
- Institute of Environmental Engineering and Management, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
| | - Chinzorig Sukhbaatar
- Division of Water Resource and Water Utilization, Institute of Geography and Geoecology, Academy of Science, Ulaanbaatar, Mongolia
| | - Chang-Hee Lee
- Department of Environmental Engineering and Energy, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin-si, Gyeonggi-do, 17058, Republic of Korea.
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22
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Jordán-Dahlgren E, Jordán-Garza AG, Rodríguez-Martínez RE. Coral disease prevalence estimation and sampling design. PeerJ 2018; 6:e6006. [PMID: 30533304 PMCID: PMC6282945 DOI: 10.7717/peerj.6006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 10/26/2018] [Indexed: 11/21/2022] Open
Abstract
In the last decades diseases have changed coral communities’ structure and function in reefs worldwide. Studies conducted to evaluate the effect of diseases on corals frequently use modified adaptations of sampling designs that were developed to study ecological aspects of coral reefs. Here we evaluate how efficient these sampling protocols are by generating virtual data for a coral population parameterized with mean coral density and disease prevalence estimates from the Caribbean scleractinian Orbicella faveolata at the Mexican Caribbean. Six scenarios were tested consisting of three patterns of coral colony distribution (random, randomly clustered and randomly over-dispersed) and two disease transmission modes (random and contagious). The virtual populations were sampled with the commonly used method of belt-transects with variable sample-unit sizes (10 × 1, 10 × 2, 25 × 2, 50 × 2 m). Results showed that the probability of obtaining a mean coral disease prevalence estimate of ±5% of the true prevalence value was low (range: 11–48%) and that two-sample comparisons achieved rather low power, unless very large effect sizes existed. Such results imply low statistical confidence to assess differences or changes in coral disease prevalence. The main problem identified was insufficient sample size because local mean colony size, density and spatial distribution of targeted coral species was not taken into consideration to properly adjust the sampling protocols.
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Affiliation(s)
- Eric Jordán-Dahlgren
- Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Puerto Morelos, Quintana Roo, México
| | - Adán G Jordán-Garza
- Facultad de Ciencias Biológicas y Agropecuarias, Universidad Veracruzana, Tuxpan, Veracruz, México
| | - Rosa E Rodríguez-Martínez
- Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Puerto Morelos, Quintana Roo, México
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23
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Mosquin PL, Aldworth J, Chen W. Evaluation of the use of bias factors with water monitoring data. Environ Toxicol Chem 2018; 37:1864-1876. [PMID: 29664152 DOI: 10.1002/etc.4154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Revised: 03/07/2018] [Accepted: 04/13/2018] [Indexed: 06/08/2023]
Abstract
Aquatic exposure assessments using surface water quality monitoring data are often challenged by missing extreme concentrations if sampling frequency is less than daily. A bias factor method has been previously proposed to address this concern for peak concentrations, where a bias factor is a multiplicative quantity to upwardly adjust estimates so that the true value is exceeded 95% of the time. In other words, bias factors are statistically protective adjustments. We evaluate this method using a research data set of 69 near-daily sampled site-years from the Atrazine Ecological Monitoring Program, dividing the data set into 23 reference and 46 validation site-years. Bias factors calculated from the reference data set are used to evaluate the method using the validation set for 1) point estimation, 2) interval estimation, and 3) decision-making. Sampling designs are every 7, 14, 28, and 90 d; and target quantities of assessment interest are the 90th and 95th percentiles and maximum m-day rolling averages (m = 1, 7, 21, 60, 90). We find that bias factors are poor point estimators in comparison with alternative methods. For interval estimation, average coverage is less than nominal, with coverage at individual site-years sometimes very low. Positive correlation of bias factors and target quantities, where present, adversely affects method performance. For decision rules or screening, the method typically shows very low false-negative rates but at the cost of extremely high false-positive rates. Environ Toxicol Chem 2018;37:1864-1876. © 2018 SETAC.
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Affiliation(s)
- Paul L Mosquin
- RTI International, Research Triangle Park, North Carolina, USA
| | - Jeremy Aldworth
- RTI International, Research Triangle Park, North Carolina, USA
| | - Wenlin Chen
- Syngenta Crop Protection, Greensboro, North Carolina, USA
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24
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Yin G, Danielsson S, Dahlberg AK, Zhou Y, Qiu Y, Nyberg E, Bignert A. Sampling designs for contaminant temporal trend analyses using sedentary species exemplified by the snails Bellamya aeruginosa and Viviparus viviparus. Chemosphere 2017; 185:431-438. [PMID: 28711794 DOI: 10.1016/j.chemosphere.2017.07.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Revised: 07/10/2017] [Accepted: 07/11/2017] [Indexed: 06/07/2023]
Abstract
Environmental monitoring typically assumes samples and sampling activities to be representative of the population being studied. Given a limited budget, an appropriate sampling strategy is essential to support detecting temporal trends of contaminants. In the present study, based on real chemical analysis data on polybrominated diphenyl ethers in snails collected from five subsites in Tianmu Lake, computer simulation is performed to evaluate three sampling strategies by the estimation of required sample size, to reach a detection of an annual change of 5% with a statistical power of 80% and 90% with a significant level of 5%. The results showed that sampling from an arbitrarily selected sampling spot is the worst strategy, requiring much more individual analyses to achieve the above mentioned criteria compared with the other two approaches. A fixed sampling site requires the lowest sample size but may not be representative for the intended study object e.g. a lake and is also sensitive to changes of that particular sampling site. In contrast, sampling at multiple sites along the shore each year, and using pooled samples when the cost to collect and prepare individual specimens are much lower than the cost for chemical analysis, would be the most robust and cost efficient strategy in the long run. Using statistical power as criterion, the results demonstrated quantitatively the consequences of various sampling strategies, and could guide users with respect of required sample sizes depending on sampling design for long term monitoring programs.
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Affiliation(s)
- Ge Yin
- Department of Environmental Science and Analytical Chemistry, Stockholm University, SE-106 91, Stockholm, Sweden
| | - Sara Danielsson
- Swedish Museum of Natural History, Box 50007, SE-10405, Stockholm, Sweden
| | - Anna-Karin Dahlberg
- Department of Environmental Science and Analytical Chemistry, Stockholm University, SE-106 91, Stockholm, Sweden; Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, SE-750 07, Uppsala, Sweden
| | - Yihui Zhou
- Department of Environmental Science and Analytical Chemistry, Stockholm University, SE-106 91, Stockholm, Sweden; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Yanling Qiu
- Key Laboratory of Yangtze River Water Environment (Ministry of Education), College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Elisabeth Nyberg
- Swedish Museum of Natural History, Box 50007, SE-10405, Stockholm, Sweden
| | - Anders Bignert
- Swedish Museum of Natural History, Box 50007, SE-10405, Stockholm, Sweden; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
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25
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Ge Y, Li Y, Bunting MJ, Li B, Li Z, Wang J. Relation between modern pollen rain, vegetation and climate in northern China: Implications for quantitative vegetation reconstruction in a steppe environment. Sci Total Environ 2017; 586:25-41. [PMID: 28208095 DOI: 10.1016/j.scitotenv.2017.02.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 01/21/2017] [Accepted: 02/03/2017] [Indexed: 06/06/2023]
Abstract
Vegetation reconstructions from palaeoecological records depend on adequate understanding of relationships between modern pollen, vegetation and climate. A key parameter for quantitative vegetation reconstructions is the Relative Pollen Productivity (RPP). Differences in both environmental and methodological factors are known to alter the RPP estimated significantly, making it difficult to determine whether the underlying pollen productivity does actually vary, and if so, why. In this paper, we present the results of a replication study for the Bashang steppe region, a typical steppe area in northern China, carried out in 2013 and 2014. In each year, 30 surface samples were collected for pollen analysis, with accompanying vegetation survey using the "Crackles Bequest Project" methodology. Sampling designs differed slightly between the two years: in 2013, sites were located completely randomly, whilst in 2014 sampling locations were constrained to be within a few km of roads. There is a strong inter-annual variability in both the pollen and the vegetation spectra therefore in RPPs, and annual precipitation may be a key influence on these variations. The pollen assemblages in both years are dominated by herbaceous taxa such as Artemisia, Amaranthaceae, Poaceae, Asteraceae, Cyperaceae, Fabaceae and Allium. Artemisia and Amaranthaceae pollen are significantly over-represented for their vegetation abundance. Poaceae, Cyperaceae and Fabaceae seem to have under-represented pollen for vegetation with correspondingly lower RPPs. Asteraceae seems to be well-represented, with moderate RPPs and less annual variation. Estimated Relevant Source Area of Pollen (RSAP) ranges from 2000 to 3000m. Different sampling designs have an effect both on RSAP and RPPs and random sample selection may be the best strategy for obtaining robust estimates. Our results have implications for further pollen-vegetation relationship and quantitative vegetation reconstruction research in typical steppe areas and in other open habitats with strong inter-annual variation.
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Affiliation(s)
- Yawen Ge
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, 210008 Nanjing, PR China; College of Resources and Environment Sciences, Hebei Normal University, 050024 Shijiazhuang, PR China; Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, 050024 Shijiazhuang, PR China; University of Chinese Academy of Sciences, 100049 Beijing, PR China
| | - Yuecong Li
- College of Resources and Environment Sciences, Hebei Normal University, 050024 Shijiazhuang, PR China; Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, 050024 Shijiazhuang, PR China.
| | - M Jane Bunting
- Geography, School of Environmental Sciences, University of Hull, Cottingham Road, Hull HU6 7RX, UK
| | - Bing Li
- College of Resources and Environment Sciences, Hebei Normal University, 050024 Shijiazhuang, PR China; Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, 050024 Shijiazhuang, PR China
| | - Zetao Li
- College of Resources and Environment Sciences, Hebei Normal University, 050024 Shijiazhuang, PR China; Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, 050024 Shijiazhuang, PR China
| | - Junting Wang
- College of Resources and Environment Sciences, Hebei Normal University, 050024 Shijiazhuang, PR China; Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, 050024 Shijiazhuang, PR China
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Mauya EW, Ene LT, Bollandsås OM, Gobakken T, Næsset E, Malimbwi RE, Zahabu E. Modelling aboveground forest biomass using airborne laser scanner data in the miombo woodlands of Tanzania. Carbon Balance Manag 2015; 10:28. [PMID: 26692891 PMCID: PMC4668277 DOI: 10.1186/s13021-015-0037-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 10/12/2015] [Indexed: 06/05/2023]
Abstract
BACKGROUND Airborne laser scanning (ALS) has emerged as one of the most promising remote sensing technologies for estimating aboveground biomass (AGB) in forests. Use of ALS data in area-based forest inventories relies on the development of statistical models that relate AGB and metrics derived from ALS. Such models are firstly calibrated on a sample of corresponding field- and ALS observations, and then used to predict AGB over the entire area covered by ALS data. Several statistical methods, both parametric and non-parametric, have been applied in ALS-based forest inventories, but studies that compare different methods in tropical forests in particular are few in number and less frequent than studies reported in temperate and boreal forests. We compared parametric and non-parametric methods, specifically linear mixed effects model (LMM) and k-nearest neighbor (k-NN). RESULTS The results showed that the prediction accuracy obtained when using LMM was slightly better than when using the k-NN approach. Relative root mean square errors from the cross validation was 46.8 % for the LMM and 58.1 % for the k-NN. Post-stratification according to vegetation types improved the prediction accuracy of LMM more as compared to post-stratification by using land use types. CONCLUSION Although there were differences in prediction accuracy between the two methods, their accuracies indicated that both of methods have potentials to be used for estimation of AGB using ALS data in the miombo woodlands. Future studies on effects of field plot size and the errors due to allometric models on the prediction accuracy are recommended.
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Affiliation(s)
- Ernest William Mauya
- Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway
| | - Liviu Theodor Ene
- Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway
| | - Ole Martin Bollandsås
- Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway
| | - Terje Gobakken
- Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway
| | - Erik Næsset
- Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway
| | - Rogers Ernest Malimbwi
- Department of Forest Mensuration and Management, Sokoine University of Agriculture, P.O. Box 3013, Morogoro, Tanzania
| | - Eliakimu Zahabu
- Department of Forest Mensuration and Management, Sokoine University of Agriculture, P.O. Box 3013, Morogoro, Tanzania
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27
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Santos SM, Marques JT, Lourenço A, Medinas D, Barbosa AM, Beja P, Mira A. Sampling effects on the identification of roadkill hotspots: Implications for survey design. J Environ Manage 2015; 162:87-95. [PMID: 26232568 DOI: 10.1016/j.jenvman.2015.07.037] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2014] [Revised: 07/06/2015] [Accepted: 07/16/2015] [Indexed: 06/04/2023]
Abstract
Although locating wildlife roadkill hotspots is essential to mitigate road impacts, the influence of study design on hotspot identification remains uncertain. We evaluated how sampling frequency affects the accuracy of hotspot identification, using a dataset of vertebrate roadkills (n = 4427) recorded over a year of daily surveys along 37 km of roads. "True" hotspots were identified using this baseline dataset, as the 500-m segments where the number of road-killed vertebrates exceeded the upper 95% confidence limit of the mean, assuming a Poisson distribution of road-kills per segment. "Estimated" hotspots were identified likewise, using datasets representing progressively lower sampling frequencies, which were produced by extracting data from the baseline dataset at appropriate time intervals (1-30 days). Overall, 24.3% of segments were "true" hotspots, concentrating 40.4% of roadkills. For different groups, "true" hotspots accounted from 6.8% (bats) to 29.7% (small birds) of road segments, concentrating from <40% (frogs and toads, snakes) to >60% (lizards, lagomorphs, carnivores) of roadkills. Spatial congruence between "true" and "estimated" hotspots declined rapidly with increasing time interval between surveys, due primarily to increasing false negatives (i.e., missing "true" hotspots). There were also false positives (i.e., wrong "estimated" hotspots), particularly at low sampling frequencies. Spatial accuracy decay with increasing time interval between surveys was higher for smaller-bodied (amphibians, reptiles, small birds, small mammals) than for larger-bodied species (birds of prey, hedgehogs, lagomorphs, carnivores). Results suggest that widely used surveys at weekly or longer intervals may produce poor estimates of roadkill hotspots, particularly for small-bodied species. Surveying daily or at two-day intervals may be required to achieve high accuracy in hotspot identification for multiple species.
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Affiliation(s)
- Sara M Santos
- Conservation Biology Lab (UBC), Research Center in Biodiversity and Genetic Resources (CIBIO-UE), Pole of Évora, Research Group in Applied Ecology, University of Évora, Department of Biology, Mitra, 7002-554 Évora, Portugal.
| | - J Tiago Marques
- Conservation Biology Lab (UBC), Research Center in Biodiversity and Genetic Resources (CIBIO-UE), Pole of Évora, Research Group in Applied Ecology, University of Évora, Department of Biology, Mitra, 7002-554 Évora, Portugal; Centre for Environmental Biology (CBA), Faculty of Sciences, University of Lisbon, Campo Grande, 1749-016 Lisboa, Portugal.
| | - André Lourenço
- Research Center in Biodiversity and Genetic Resources (CIBIO), University of Porto, Campus Agrário de Vairão, 4485-661 Vairão, Portugal.
| | - Denis Medinas
- Conservation Biology Lab (UBC), Research Center in Biodiversity and Genetic Resources (CIBIO-UE), Pole of Évora, Research Group in Applied Ecology, University of Évora, Department of Biology, Mitra, 7002-554 Évora, Portugal.
| | - A Márcia Barbosa
- Research Center in Biodiversity and Genetic Resources (CIBIO-UE), Pole of Évora, Research Group in Climate Change and Biodiversity, University of Évora, 7004-890 Évora, Portugal.
| | - Pedro Beja
- EDP Biodiversity Chair, CIBIO - Research Center in Biodiversity and Genetic Resources, University of Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, 4485-661 Vairão, Portugal.
| | - António Mira
- Conservation Biology Lab (UBC), Research Center in Biodiversity and Genetic Resources (CIBIO-UE), Pole of Évora, Research Group in Applied Ecology, University of Évora, Department of Biology, Mitra, 7002-554 Évora, Portugal.
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Zhou H, Elliott MR, Raghunathan TE. A two-step semiparametric method to accommodate sampling weights in multiple imputation. Biometrics 2015; 72:242-52. [PMID: 26393409 DOI: 10.1111/biom.12413] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2014] [Revised: 07/01/2015] [Accepted: 08/01/2015] [Indexed: 11/30/2022]
Abstract
Multiple imputation (MI) is a well-established method to handle item-nonresponse in sample surveys. Survey data obtained from complex sampling designs often involve features that include unequal probability of selection. MI requires imputation to be congenial, that is, for the imputations to come from a Bayesian predictive distribution and for the observed and complete data estimator to equal the posterior mean given the observed or complete data, and similarly for the observed and complete variance estimator to equal the posterior variance given the observed or complete data; more colloquially, the analyst and imputer make similar modeling assumptions. Yet multiply imputed data sets from complex sample designs with unequal sampling weights are typically imputed under simple random sampling assumptions and then analyzed using methods that account for the sampling weights. This is a setting in which the analyst assumes more than the imputer, which can led to biased estimates and anti-conservative inference. Less commonly used alternatives such as including case weights as predictors in the imputation model typically require interaction terms for more complex estimators such as regression coefficients, and can be vulnerable to model misspecification and difficult to implement. We develop a simple two-step MI framework that accounts for sampling weights using a weighted finite population Bayesian bootstrap method to validly impute the whole population (including item nonresponse) from the observed data. In the second step, having generated posterior predictive distributions of the entire population, we use standard IID imputation to handle the item nonresponse. Simulation results show that the proposed method has good frequentist properties and is robust to model misspecification compared to alternative approaches. We apply the proposed method to accommodate missing data in the Behavioral Risk Factor Surveillance System when estimating means and parameters of regression models.
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Affiliation(s)
- Hanzhi Zhou
- Mathematics Policy Institute, Princeton, New Jersey, U.S.A
| | - Michael R Elliott
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, U.S.A.,Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48109, U.S.A
| | - Trviellore E Raghunathan
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, U.S.A.,Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48109, U.S.A
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Clewe O, Karlsson MO, Simonsson USH. Evaluation of optimized bronchoalveolar lavage sampling designs for characterization of pulmonary drug distribution. J Pharmacokinet Pharmacodyn 2015; 42:699-708. [PMID: 26316105 PMCID: PMC4624821 DOI: 10.1007/s10928-015-9438-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Accepted: 08/19/2015] [Indexed: 11/29/2022]
Abstract
Bronchoalveolar lavage (BAL) is a pulmonary sampling technique for characterization of drug concentrations in epithelial lining fluid and alveolar cells. Two hypothetical drugs with different pulmonary distribution rates (fast and slow) were considered. An optimized BAL sampling design was generated assuming no previous information regarding the pulmonary distribution (rate and extent) and with a maximum of two samples per subject. Simulations were performed to evaluate the impact of the number of samples per subject (1 or 2) and the sample size on the relative bias and relative root mean square error of the parameter estimates (rate and extent of pulmonary distribution). The optimized BAL sampling design depends on a characterized plasma concentration time profile, a population plasma pharmacokinetic model, the limit of quantification (LOQ) of the BAL method and involves only two BAL sample time points, one early and one late. The early sample should be taken as early as possible, where concentrations in the BAL fluid ≥ LOQ. The second sample should be taken at a time point in the declining part of the plasma curve, where the plasma concentration is equivalent to the plasma concentration in the early sample. Using a previously described general pulmonary distribution model linked to a plasma population pharmacokinetic model, simulated data using the final BAL sampling design enabled characterization of both the rate and extent of pulmonary distribution. The optimized BAL sampling design enables characterization of both the rate and extent of the pulmonary distribution for both fast and slowly equilibrating drugs.
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Affiliation(s)
- Oskar Clewe
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
| | - Mats O Karlsson
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
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30
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Mörsdorf MA, Ravolainen VT, Støvern LE, Yoccoz NG, Jónsdóttir IS, Bråthen KA. Definition of sampling units begets conclusions in ecology: the case of habitats for plant communities. PeerJ 2015; 3:e815. [PMID: 25780767 PMCID: PMC4358653 DOI: 10.7717/peerj.815] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Accepted: 02/13/2015] [Indexed: 11/25/2022] Open
Abstract
In ecology, expert knowledge on habitat characteristics is often used to define sampling units such as study sites. Ecologists are especially prone to such approaches when prior sampling frames are not accessible. Here we ask to what extent can different approaches to the definition of sampling units influence the conclusions that are drawn from an ecological study? We do this by comparing a formal versus a subjective definition of sampling units within a study design which is based on well-articulated objectives and proper methodology. Both approaches are applied to tundra plant communities in mesic and snowbed habitats. For the formal approach, sampling units were first defined for each habitat in concave terrain of suitable slope using GIS. In the field, these units were only accepted as the targeted habitats if additional criteria for vegetation cover were fulfilled. For the subjective approach, sampling units were defined visually in the field, based on typical plant communities of mesic and snowbed habitats. For each approach, we collected information about plant community characteristics within a total of 11 mesic and seven snowbed units distributed between two herding districts of contrasting reindeer density. Results from the two approaches differed significantly in several plant community characteristics in both mesic and snowbed habitats. Furthermore, differences between the two approaches were not consistent because their magnitude and direction differed both between the two habitats and the two reindeer herding districts. Consequently, we could draw different conclusions on how plant diversity and relative abundance of functional groups are differentiated between the two habitats depending on the approach used. We therefore challenge ecologists to formalize the expert knowledge applied to define sampling units through a set of well-articulated rules, rather than applying it subjectively. We see this as instrumental for progress in ecology as only rules based on expert knowledge are transparent and lead to results reproducible by other ecologists.
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Affiliation(s)
- Martin A Mörsdorf
- Department of Life and Environmental Sciences, University of Iceland , Reykjavík , Iceland ; Department of Arctic and Marine Biology, The Arctic University of Norway , Tromsø , Norway ; Department of Arctic Biology, University Centre in Svalbard UNIS , Longyearbyen , Norway
| | - Virve T Ravolainen
- Department of Arctic and Marine Biology, The Arctic University of Norway , Tromsø , Norway ; Norwegian Polar Institute , Tromsø , Norway
| | | | - Nigel G Yoccoz
- Department of Arctic and Marine Biology, The Arctic University of Norway , Tromsø , Norway
| | - Ingibjörg Svala Jónsdóttir
- Department of Life and Environmental Sciences, University of Iceland , Reykjavík , Iceland ; Department of Arctic Biology, University Centre in Svalbard UNIS , Longyearbyen , Norway
| | - Kari Anne Bråthen
- Department of Arctic and Marine Biology, The Arctic University of Norway , Tromsø , Norway
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31
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Paladino O, Massabò M, Fissore F, Moranda A. Assessment of sediment contamination and sampling design in Savona Harbour, Italy. Mar Pollut Bull 2015; 91:54-64. [PMID: 25561002 DOI: 10.1016/j.marpolbul.2014.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2014] [Revised: 12/11/2014] [Accepted: 12/12/2014] [Indexed: 06/04/2023]
Abstract
A method for assessing environmental contamination in harbour sediments and designing the forthcoming monitoring activities in enlarged coastal ecosystems is proposed herein. The method is based on coupling principal component analysis of previous sampling campaigns with a discrete optimisation of a value for money function. The objective function represents the utility derived for every sum of money spent in sampling and chemical analysis. The method was then used to assess actual contamination and found to be well suited for reducing the number of chemicals to be searched during extended monitoring activities and identifying the possible sources of contamination. Data collected in Savona Harbour (Porto Vado), Italy, where construction of a new terminal construction is planned, were used to illustrate the procedure. 23 chemicals were searched for within a total of 213 samples in 68 sampling points during three monitoring campaigns. These data were used to test the procedure. Subsequently, 28 chemicals were searched for within 14 samples in 10 sampling points and collected data were used to evaluate the experimental error and to validate the proposed procedure.
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Affiliation(s)
- Ombretta Paladino
- Department of Civil, Chemical and Environmental Engineering, Università di Genova, Via Opera Pia 15, Genova 16145, Italy.
| | - Marco Massabò
- CIMA Research Foundation, International Centre on Environmental Monitoring, Via Magliotto 2, Savona 17100, Italy.
| | - Francesca Fissore
- Department of Civil, Chemical and Environmental Engineering, Università di Genova, Via Opera Pia 15, Genova 16145, Italy
| | - Arianna Moranda
- Department of Civil, Chemical and Environmental Engineering, Università di Genova, Via Opera Pia 15, Genova 16145, Italy
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Bugdalski L, Lemke LD, McElmurry SP. Spatial Variation of Soil Lead in an Urban Community Garden: Implications for Risk-Based Sampling. Risk Anal 2014; 34:17-27. [PMID: 23614628 DOI: 10.1111/risa.12053] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Soil lead pollution is a recalcitrant problem in urban areas resulting from a combination of historical residential, industrial, and transportation practices. The emergence of urban gardening movements in postindustrial cities necessitates accurate assessment of soil lead levels to ensure safe gardening. In this study, we examined small-scale spatial variability of soil lead within a 15 × 30 m urban garden plot established on two adjacent residential lots located in Detroit, Michigan, USA. Eighty samples collected using a variably spaced sampling grid were analyzed for total, fine fraction (less than 250 μm), and bioaccessible soil lead. Measured concentrations varied at sampling scales of 1-10 m and a hot spot exceeding 400 ppm total soil lead was identified in the northwest portion of the site. An interpolated map of total lead was treated as an exhaustive data set, and random sampling was simulated to generate Monte Carlo distributions and evaluate alternative sampling strategies intended to estimate the average soil lead concentration or detect hot spots. Increasing the number of individual samples decreases the probability of overlooking the hot spot (type II error). However, the practice of compositing and averaging samples decreased the probability of overestimating the mean concentration (type I error) at the expense of increasing the chance for type II error. The results reported here suggest a need to reconsider U.S. Environmental Protection Agency sampling objectives and consequent guidelines for reclaimed city lots where soil lead distributions are expected to be nonuniform.
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Affiliation(s)
| | | | - Shawn P McElmurry
- Department of Civil & Environmental Engineering, Wayne State University, Detroit, MI, USA
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