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Yang Z, Bai Z, Qin Z. A new soil sampling design method using multi-temporal and spatial data fusion. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:21023-21033. [PMID: 34748180 DOI: 10.1007/s11356-021-17200-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 10/21/2021] [Indexed: 06/13/2023]
Abstract
The distribution of soil pollutants is receiving increasing attention. The accurate determination of the soil pollution distribution in an area is becoming more important. To date, many soil quality surveys have already been carried out in China, and the use of these surveys to reflect soil pollution is worth examining. This article provides an example of the application of combined two-phase data to assess soil contamination in a region. Based on data acquired during two soil sampling phases in 2005 and 2015, we chose a typical watershed in southeast China as the study area. We analysed the data using spatial interpolation analysis, compared the results, and extracted points to perform point combination based on site conditions. Ultimately, these analyses allowed us to develop a new method involving the use of multi-period data to evaluate the soil quality on a regional scale. In the ten years from 2005 to 2015, apparent changes in soil pollution occurred. We found that the area with no change in soil pollution accounts for 46.98% of the total basin and the area demonstrating a soil pollution increase accounts for 47.25% of the total basin, while the area exhibiting a soil pollution reduction only accounts for 5.78% of the whole area. The average accuracy of the combined points increased to 89% from 76 and 81%. The analysis of the land-use types and spatial locations during the two periods revealed no direct relationship between the soil contamination changes and the changes in the total number of land-use types, but a correlation was observed with the intensity of human activities at the spatial locations. This paper proposes a new method for the spatial assessment of soil pollution based using multiple periods of existing data on the above analysis.
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Affiliation(s)
- Zedong Yang
- School of Land Science and Technology, China University of Geosciences, Beijing, 100000, China
| | - Zhongke Bai
- School of Land Science and Technology, China University of Geosciences, Beijing, 100000, China.
- Key Lab for Land Consolidation, Ministry of Natural Resources, Beijing, 100000, China.
- Technology Innovation Center for Ecological Restoration in Mining Areas, Ministry of Natural Resources, Beijing, 100000, China.
| | - Zhiheng Qin
- Technology Innovation Center for Ecological Restoration in Mining Areas, Ministry of Natural Resources, Beijing, 100000, China
- School of Soil and Water Conservation, Beijing Forestry University, Beijing, 100000, China
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Cichota R, Vogeler I, Sharp J, Verburg K, Huth N, Holzworth D, Dalgliesh N, Snow V. A protocol to build soil descriptions for APSIM simulations. MethodsX 2022; 8:101566. [PMID: 35004200 PMCID: PMC8720820 DOI: 10.1016/j.mex.2021.101566] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 10/30/2021] [Indexed: 11/04/2022] Open
Abstract
Introducing the models and user interface for characterising a soil in APSIM simulations. Listing and describing the parameters needed for building soil descriptions in APSIM. Providing recommendations for good practice when setting up soil parameters in APSIM.
Soil processes have a major impact on agroecosystems, controlling water and nutrient cycling, regulating plant growth and losses to the wider environment. Process-based agroecosystem simulation models generally encompass detailed descriptions of the soil, including a wide number of parameters that can be daunting to users with a limited soil science background. In this work we review and present an abridged description of the models used to simulate soil processes in the APSIM (Agricultural Production Systems sIMulator) framework. Such a resource is needed because this information is currently spread over multiple publications and some elements have become outdated. We list and briefly describe the parameters, and establish a protocol with guidelines, for building a soil description for APSIM. This protocol will promote consistency, enhancing the quality of the science done employing APSIM, and provide an easier pathway for new users. This compilation should also be of relevance to users of other models that require detailed soil information.This paper presents a brief description of the models for simulating soil processes in the APSIM model. The method stablishes guidelines to define the parameters for building a soil description for APSIM.
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Affiliation(s)
- Rogerio Cichota
- The New Zealand Institute for Plant & Food Research Limited, Lincoln, New Zealand
| | - Iris Vogeler
- The New Zealand Institute for Plant & Food Research Limited, Lincoln, New Zealand
| | - Joanna Sharp
- The New Zealand Institute for Plant & Food Research Limited, Lincoln, New Zealand
| | | | - Neil Huth
- CSIRO Agriculture and Food, Toowoomba, Qld, Australia
| | | | | | - Val Snow
- AgResearch Limited, Lincoln, New Zealand
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Ansari S, Sadeghi H. Carbon storage assessment in soil and plant organs: the role of Prosopis spp. on mitigate soil degradation. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 194:1. [PMID: 34862577 DOI: 10.1007/s10661-021-09612-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 11/05/2021] [Indexed: 06/13/2023]
Abstract
Carbon sequestration is a process for stable storage of carbon dioxide. In this process, excess atmospheric carbon dioxide is stored by the aerial and underground organs of rangeland plants to reduce global warming. The aim of this study was to identify the relationship between some chemical properties of soil and ability of carbon storage in two plants, namely Prosopis cineraria and Prosopis juliflora in soil depth ranging between 0-15 and 15-30 cm. This research was carried out in Anbarabad region which is located at 258 km in the southeast of Kerman during 2016-2018. The present research was performed as a factorial experiment so that the first factor was the plant species and the control treatment and the second component was soil depth. Sampling was done from the shady soil of plants and the control area. Soil properties including organic carbon, bulk density, acidity, electrical conductivity and organic matter were analysed. The results indicated that the carbon stored at depths of 0-15 cm and 15-30 cm in the shade soil of P. cineraria was 21.39 and 24.36 t/ha, and in P. juliflora was 23.70 and 24.85 t/ha, and in control area is 19.83 and 21.31 t/ha. Also, the results of stepwise regression study showed that organic carbon percentage and bulk density are the most important factors affecting soil carbon sequestration.
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Affiliation(s)
- Sara Ansari
- Department of Natural Resources and Environmental Engineering, School of Agriculture, Shiraz University, Shiraz, Iran
| | - Hossein Sadeghi
- Department of Natural Resources and Environmental Engineering, School of Agriculture, Shiraz University, Shiraz, Iran.
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Smith P, Soussana J, Angers D, Schipper L, Chenu C, Rasse DP, Batjes NH, van Egmond F, McNeill S, Kuhnert M, Arias‐Navarro C, Olesen JE, Chirinda N, Fornara D, Wollenberg E, Álvaro‐Fuentes J, Sanz‐Cobena A, Klumpp K. How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal. GLOBAL CHANGE BIOLOGY 2020; 26:219-241. [PMID: 31469216 PMCID: PMC6973036 DOI: 10.1111/gcb.14815] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Accepted: 08/22/2019] [Indexed: 05/19/2023]
Abstract
There is growing international interest in better managing soils to increase soil organic carbon (SOC) content to contribute to climate change mitigation, to enhance resilience to climate change and to underpin food security, through initiatives such as international '4p1000' initiative and the FAO's Global assessment of SOC sequestration potential (GSOCseq) programme. Since SOC content of soils cannot be easily measured, a key barrier to implementing programmes to increase SOC at large scale, is the need for credible and reliable measurement/monitoring, reporting and verification (MRV) platforms, both for national reporting and for emissions trading. Without such platforms, investments could be considered risky. In this paper, we review methods and challenges of measuring SOC change directly in soils, before examining some recent novel developments that show promise for quantifying SOC. We describe how repeat soil surveys are used to estimate changes in SOC over time, and how long-term experiments and space-for-time substitution sites can serve as sources of knowledge and can be used to test models, and as potential benchmark sites in global frameworks to estimate SOC change. We briefly consider models that can be used to simulate and project change in SOC and examine the MRV platforms for SOC change already in use in various countries/regions. In the final section, we bring together the various components described in this review, to describe a new vision for a global framework for MRV of SOC change, to support national and international initiatives seeking to effect change in the way we manage our soils.
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Affiliation(s)
- Pete Smith
- Institute of Biological & Environmental SciencesUniversity of AberdeenAberdeenUK
| | | | | | - Louis Schipper
- Environmental Research InstituteUniversity of WaikatoHamiltonNew Zealand
| | | | | | | | | | | | - Matthias Kuhnert
- Institute of Biological & Environmental SciencesUniversity of AberdeenAberdeenUK
| | | | | | | | | | - Eva Wollenberg
- CGIAR CCAFS ProgrammeUniversity of Vermont (UVM)BurlingtonVTUSA
| | | | - Alberto Sanz‐Cobena
- Research Center for the Management of Environmental and Agricultural Risks (CEIGRAM)Universidad Politécnica de MadridMadridSpain
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Guo X, Chuai X, Huang X. A Land Use/Land Cover Based Green Development Study for Different Functional Regions in the Jiangsu Province, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E1277. [PMID: 30974763 PMCID: PMC6480173 DOI: 10.3390/ijerph16071277] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 03/20/2019] [Accepted: 03/28/2019] [Indexed: 11/17/2022]
Abstract
Land use/land cover (LULC) change can strongly affect carbon storage in terrestrial ecosystems. The rapid development of China's economy has formed different functional regions. These functional regions profoundly affect land use patterns. Thus, assessing the carbon storage induced by LULC changes is significant for green development. Selecting the typical region of the Jiangsu Province as the study area, this study first examines the research associated with the regional functional characteristics and various high accuracy data and methods have been used to greatly improve the research accuracy. The results showed that from 1995 to 2015, approximately 10.26% of the entire land area had LULC type changes. Additionally, decreases in the built-up land expansion and ecological land were the main LULC change characteristics, which are mainly affected by socioeconomic development. The total carbon storage of the Jiangsu Province decreased by 714.03 × 10⁴ t and the four regions all presented decreasing carbon storage levels. The economically developed regions presented a more obvious loss of carbon. The region with small LULC changes had a lower carbon loss. The land transfer of cultivated land to built-up land is the main transfer type causing the carbon storage loss. This study investigates the human-environmental interactions from the new perspective of functional zoning and, thus, it enriches the comparative analysis of carbon storage in functional regions and provides references for the green development of a developing country's developed areas.
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Affiliation(s)
- Xiaomin Guo
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China.
| | - Xiaowei Chuai
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China.
| | - Xianjin Huang
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China.
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Lear G, Lau K, Perchec AM, Buckley HL, Case BS, Neale M, Fierer N, Leff JW, Handley KM, Lewis G. Following Rapoport's Rule: the geographic range and genome size of bacterial taxa decline at warmer latitudes. Environ Microbiol 2017; 19:3152-3162. [PMID: 28504344 DOI: 10.1111/1462-2920.13797] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 10/11/2016] [Accepted: 05/09/2017] [Indexed: 11/28/2022]
Abstract
We sought to test whether stream bacterial communities conform to Rapoport's Rule, a pattern commonly observed for plants and animals whereby taxa exhibit decreased latitudinal range sizes closer to the equator. Using a DNA sequencing approach, we explored the biogeography of biofilm bacterial communities in 204 streams across a ∼1000 km latitudinal gradient. The range sizes of bacterial taxa were strongly correlated with latitude, decreasing closer to the equator, which coincided with a greater than fivefold increase in bacterial taxonomic richness. The relative richness and range size of bacteria were associated with spatially correlated variation in temperature and rainfall. These patterns were observed despite enormous variability in catchment environmental characteristics. Similar results were obtained when restricting the same analyses to native forest catchments, thereby controlling for spatial biases in land use. We analysed genomic data from ∼500 taxa detected in this study, for which data were available and found that bacterial communities at cooler latitudes also tended to possess greater potential metabolic potential. Collectively, these data provide the first evidence of latitudinal variation in the range size distributions of freshwater bacteria, a trend which may be determined, in part, by a trade-off between bacterial genome size and local variation in climatic conditions.
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Affiliation(s)
- Gavin Lear
- School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Kelvin Lau
- School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Anne-Marie Perchec
- School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Hannah L Buckley
- School of Science, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand
| | - Bradley S Case
- School of Science, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand
| | | | - Noah Fierer
- Department of Ecology and Evolutionary Biology and Cooperative Institute for Research in Environmental Biology, University of Colorado at Boulder, Boulder, CO 80309-0216, USA
| | - Jonathan W Leff
- Department of Ecology and Evolutionary Biology and Cooperative Institute for Research in Environmental Biology, University of Colorado at Boulder, Boulder, CO 80309-0216, USA
| | - Kim M Handley
- School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Gillian Lewis
- School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, New Zealand
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Slaboch J, Hálová P. Impact of Biogas Stations on CO<sub>2</sub> Emission from Agriculture. ACTA UNIVERSITATIS AGRICULTURAE ET SILVICULTURAE MENDELIANAE BRUNENSIS 2017. [DOI: 10.11118/actaun201765010189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Muñoz‐Rojas M, Jordán A, Zavala LM, De la Rosa D, Abd‐Elmabod SK, Anaya‐Romero M. Impact of Land Use and Land Cover Changes on Organic Carbon Stocks in Mediterranean Soils (1956–2007). LAND DEGRADATION & DEVELOPMENT 2015; 26:168-179. [DOI: 10.1002/ldr.2194] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Affiliation(s)
- M. Muñoz‐Rojas
- Evenor‐Tech, CSIC Spin‐offInstituto de Recursos Naturales y Agrobiología de Sevilla (CSIC) Avda. Reina Mercedes, 10 41012 Sevilla Spain
- MED_Soil Research Group. Dpto. de Cristalografía, Mineralogía y Química AgrícolaFacultad de Química (Universidad de Sevilla) C/Profesor García González, 1 41012 Sevilla Spain
| | - A. Jordán
- MED_Soil Research Group. Dpto. de Cristalografía, Mineralogía y Química AgrícolaFacultad de Química (Universidad de Sevilla) C/Profesor García González, 1 41012 Sevilla Spain
| | - L. M. Zavala
- MED_Soil Research Group. Dpto. de Cristalografía, Mineralogía y Química AgrícolaFacultad de Química (Universidad de Sevilla) C/Profesor García González, 1 41012 Sevilla Spain
| | - D. De la Rosa
- Instituto de Recursos Naturales y Agrobiología de Sevilla (CSIC) Avda. Reina Mercedes, 10 41012 Sevilla Spain
| | - S. K. Abd‐Elmabod
- Evenor‐Tech, CSIC Spin‐offInstituto de Recursos Naturales y Agrobiología de Sevilla (CSIC) Avda. Reina Mercedes, 10 41012 Sevilla Spain
- Department of Soil and Water UseNational Research Centre Cairo Egypt
| | - M. Anaya‐Romero
- Evenor‐Tech, CSIC Spin‐offInstituto de Recursos Naturales y Agrobiología de Sevilla (CSIC) Avda. Reina Mercedes, 10 41012 Sevilla Spain
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Dalgaard T, Olesen JE, Petersen SO, Petersen BM, Jørgensen U, Kristensen T, Hutchings NJ, Gyldenkærne S, Hermansen JE. Developments in greenhouse gas emissions and net energy use in Danish agriculture - how to achieve substantial CO(2) reductions? ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2011; 159:3193-3203. [PMID: 21454001 DOI: 10.1016/j.envpol.2011.02.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2011] [Accepted: 02/13/2011] [Indexed: 05/30/2023]
Abstract
Greenhouse gas (GHG) emissions from agriculture are a significant contributor to total Danish emissions. Consequently, much effort is currently given to the exploration of potential strategies to reduce agricultural emissions. This paper presents results from a study estimating agricultural GHG emissions in the form of methane, nitrous oxide and carbon dioxide (including carbon sources and sinks, and the impact of energy consumption/bioenergy production) from Danish agriculture in the years 1990-2010. An analysis of possible measures to reduce the GHG emissions indicated that a 50-70% reduction of agricultural emissions by 2050 relative to 1990 is achievable, including mitigation measures in relation to the handling of manure and fertilisers, optimization of animal feeding, cropping practices, and land use changes with more organic farming, afforestation and energy crops. In addition, the bioenergy production may be increased significantly without reducing the food production, whereby Danish agriculture could achieve a positive energy balance.
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Affiliation(s)
- T Dalgaard
- Aarhus University, Department of Agroecology, Blichers Allé 20, P.O. Box 50, DK-8830 Tjele, Denmark.
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Chen L, Gong J, Fu B, Huang Z, Huang Y, Gui L. Effect of land use conversion on soil organic carbon sequestration in the loess hilly area, loess plateau of China. Ecol Res 2006. [DOI: 10.1007/s11284-006-0065-1] [Citation(s) in RCA: 132] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Lokupitiya E, Paustian K. Agricultural soil greenhouse gas emissions: a review of national inventory methods. JOURNAL OF ENVIRONMENTAL QUALITY 2006; 35:1413-27. [PMID: 16825462 DOI: 10.2134/jeq2005.0157] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Parties to the United Nations Framework Convention on Climate Change (UNFCCC) are required to submit national greenhouse gas (GHG) inventories, together with information on methods used in estimating their emissions. Currently agricultural activities contribute a significant portion (approximately 20%) of global anthropogenic GHG emissions, and agricultural soils have been identified as one of the main GHG source categories within the agricultural sector. However, compared to many other GHG sources, inventory methods for soils are relatively more complex and have been implemented only to varying degrees among member countries. This review summarizes and evaluates the methods used by Annex 1 countries in estimating CO2 and N2O emissions in agricultural soils. While most countries utilize the Intergovernmental Panel on Climate Change (IPCC) default methodology, several Annex 1 countries are developing more advanced methods that are tailored for specific country circumstances. Based on the latest national inventory reporting, about 56% of the Annex 1 countries use IPCC Tier 1 methods, about 26% use Tier 2 methods, and about 18% do not estimate or report N2O emissions from agricultural soils. More than 65% of the countries do not report CO2 emissions from the cultivation of mineral soils, organic soils, or liming, and only a handful of countries have used country-specific, Tier 3 methods. Tier 3 methods usually involve process-based models and detailed, geographically specific activity data. Such methods can provide more robust, accurate estimates of emissions and removals but require greater diligence in documentation, transparency, and uncertainty assessment to ensure comparability between countries. Availability of detailed, spatially explicit activity data is a major constraint to implementing higher tiered methods in many countries.
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Affiliation(s)
- Erandathie Lokupitiya
- Department of Soil and Crop Sciences and Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA.
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