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Heck N, Goldberg L, Andradi-Brown DA, Campbell A, Narayan S, Ahmadia GN, Lagomasino D. Global drivers of mangrove loss in protected areas. Conserv Biol 2024:e14293. [PMID: 38766900 DOI: 10.1111/cobi.14293] [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] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 01/11/2024] [Accepted: 03/05/2024] [Indexed: 05/22/2024]
Abstract
Despite increasing efforts and investment in mangrove conservation, mangrove cover continues to decline globally. The extent to which protected area (PA) management effectively prevents mangrove loss globally across differing management objectives and governance types is not well understood. We combined remote sensing data with PA information to identify the extent and the drivers of mangrove loss across PAs with distinct governance types and protection levels based on categories developed by the International Union for Conservation of Nature (IUCN). Mangrove loss due to storms and erosion was prevalent across all governance types and most IUCN categories. However, the extent of human-driven loss differed across governance types and IUCN categories. Loss was highest in national government PAs. Private, local, shared arrangement, and subnational government agencies had low human-driven mangrove loss. Human-driven loss was highest in PAs with the highest level of restrictions on human activities (IUCN category I) due to mangrove conversion to areas for commodity production (e.g., aquaculture), whereas PAs that allowed sustainable resource use (e.g., category VI) experienced low levels of human-driven mangrove loss. Because category I PAs with high human-driven loss were primarily governed by national government agencies, conservation outcomes in highly PAs might depend not only on the level of restrictions, but also on the governance type. Mangrove loss across different governance types and IUCN categories varied regionally. Specific governance types and IUCN categories thus seemed more effective in preventing mangrove loss in certain regions. Overall, we found that natural drivers contributed to global mangrove loss across all PAs, whereas human-driven mangrove loss was lowest in PAs with subnational- to local-level governance and PAs with few restrictions on human activities.
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Affiliation(s)
- Nadine Heck
- Department of Coastal Studies, East Carolina University, Greenville, North Carolina, USA
| | - Liza Goldberg
- Department of Earth System Science, Stanford University, Stanford, California, USA
| | | | - Anthony Campbell
- Biospheric Sciences Laboratory, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, Maryland, USA
- Goddard Earth Sciences Technology and Research II, University of Maryland, Baltimore County, Baltimore, Maryland, USA
| | - Siddharth Narayan
- Department of Coastal Studies, East Carolina University, Greenville, North Carolina, USA
| | - Gabby N Ahmadia
- Ocean Conservation, World Wildlife Fund, Washington, DC, USA
| | - David Lagomasino
- Department of Coastal Studies, East Carolina University, Greenville, North Carolina, USA
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2
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Amaral C, Poulter B, Lagomasino D, Fatoyinbo T, Taillie P, Lizcano G, Canty S, Silveira JAH, Teutli-Hernández C, Cifuentes-Jara M, Charles SP, Moreno CS, González-Trujillo JD, Roman-Cuesta RM. Drivers of mangrove vulnerability and resilience to tropical cyclones in the North Atlantic Basin. Sci Total Environ 2023; 898:165413. [PMID: 37429480 DOI: 10.1016/j.scitotenv.2023.165413] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/05/2023] [Accepted: 07/07/2023] [Indexed: 07/12/2023]
Abstract
The North Atlantic Basin (NAB) has seen an increase in the frequency and intensity of tropical cyclones since the 1980s, with record-breaking seasons in 2017 and 2020. However, little is known about how coastal ecosystems, particularly mangroves in the Gulf of Mexico and the Caribbean, respond to these new "climate normals" at regional and subregional scales. Wind speed, rainfall, pre-cyclone forest height, and hydro-geomorphology are known to influence mangrove damage and recovery following cyclones in the NAB. However, previous studies have focused on local-scale responses and individual cyclonic events. Here, we analyze 25 years (1996-2020) of mangrove vulnerability (damage after a cyclone) and 24 years (1996-2019) of short-term resilience (recovery after damage) for the NAB and subregions, using multi-annual, remote sensing-derived databases. We used machine learning to characterize the influence of 22 potential variables on mangrove responses, including human development and long-term climate trends. Our results document variability in the rates and drivers of mangrove vulnerability and resilience, highlighting hotspots of cyclone impacts, mangrove damage, and loss of resilience. Cyclone characteristics mainly drove vulnerability at the regional level. In contrast, resilience was driven by site-specific conditions, including long-term climate trends, pre-cyclone forest structure, soil organic carbon stock, and coastal development (i.e., proximity to human infrastructure). Coastal development is associated with both vulnerability and resilience at the subregional level. Further, we highlight that loss of resilience occurs mostly in areas experiencing long-term drought across the NAB. The impacts of increasing cyclone activity on mangroves and their coastal protection service must be framed in the context of compound climate change effects and continued coastal development. Our work offers descriptive and spatial information to support the restoration and adaptive management of NAB mangroves, which need adequate health, structure, and density to protect coasts and serve as Nature-based Solutions against climate change and extreme weather events.
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Affiliation(s)
- Cibele Amaral
- Earth Lab, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80303, United States; Universidade Federal de Viçosa, Department of Forest Engineering, Viçosa, MG 36570-900, Brazil; NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD 20771, United States.
| | - Benjamin Poulter
- NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD 20771, United States
| | - David Lagomasino
- East Carolina University, Department of Coastal Studies, Greenville, NC 27858-4353, United States
| | - Temilola Fatoyinbo
- NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD 20771, United States
| | - Paul Taillie
- University of Florida, Department of Wildlife Ecology and Conservation, Gainesville, FL 32611, United States
| | - Gil Lizcano
- Climate Scale, Parc Barcelona Activa, 08402 Barcelona, Spain
| | - Steven Canty
- Smithsonian Environmental Research Center, 647 Contees Wharf Road, Edgewater, MD 21037, United States; Working Land and Seascapes, Smithsonian Institution, Washington, DC 20013, United States
| | | | | | - Miguel Cifuentes-Jara
- Conservation International, Arlington, VA 22202, United States; Centro Agronómico Tropical de Investigación y Enseñanza, 30501 Turrialba, Costa Rica
| | - Sean Patrick Charles
- East Carolina University, Department of Coastal Studies, Greenville, NC 27858-4353, United States
| | - Claudia Shantal Moreno
- Chair of Land Management, Technical University of Munich, Arcisstraße 21, D-80333 Munich, Germany
| | - Juan David González-Trujillo
- Departamento de Biogeografía y Cambio Global, Museo Nacional de Ciencias Naturales, CSIC, JoseGutierrez Abascal, 2, 28006 Madrid, Spain; Rui Nabeiro Biodiversity Chair, MED Institute, Universidade de Évora, Largo dos Colegiais, 7000 Évora, Portugal
| | - Rosa Maria Roman-Cuesta
- Wageningen University & Research, Laboratory of Geo-Information Science and Remote Sensing, 6708PB Wageningen, the Netherlands; Technical University of Munich, School of Life Sciences, Institute of Forest Management, 85354 Fresing, Germany
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3
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Campbell AD, Fatoyinbo L, Goldberg L, Lagomasino D. Author Correction: Global hotspots of salt marsh change and carbon emissions. Nature 2023; 622:E4. [PMID: 37814145 PMCID: PMC10599988 DOI: 10.1038/s41586-023-06666-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/11/2023]
Affiliation(s)
- Anthony D Campbell
- Biospheric Sciences Laboratory, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD, USA.
- NASA Postdoctoral Program, Oak Ridge Associated Universities, Oak Ridge, TN, USA.
- GESTAR II, University of Maryland, Baltimore County, Baltimore, MD, USA.
| | - Lola Fatoyinbo
- Biospheric Sciences Laboratory, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD, USA
| | - Liza Goldberg
- Biospheric Sciences Laboratory, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - David Lagomasino
- Integrated Coastal Programs, East Carolina University, Wanchese, NC, USA
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4
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Chavez S, Wdowinski S, Lagomasino D, Castañeda-Moya E, Fatoyinbo T, Moyer RP, Smoak JM. Estimating Structural Damage to Mangrove Forests Using Airborne Lidar Imagery: Case Study of Damage Induced by the 2017 Hurricane Irma to Mangroves in the Florida Everglades, USA. Sensors (Basel) 2023; 23:6669. [PMID: 37571453 PMCID: PMC10422621 DOI: 10.3390/s23156669] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/11/2023] [Accepted: 07/06/2023] [Indexed: 08/13/2023]
Abstract
In September 2017, Hurricane Irma made landfall in South Florida, causing a great deal of damage to mangrove forests along the southwest coast. A combination of hurricane strength winds and high storm surge across the area resulted in canopy defoliation, broken branches, and downed trees. Evaluating changes in mangrove forest structure is significant, as a loss or change in mangrove forest structure can lead to loss in the ecosystems services that they provide. In this study, we used lidar remote sensing technology and field data to assess damage to the South Florida mangrove forests from Hurricane Irma. Lidar data provided an opportunity to investigate changes in mangrove forests using 3D high-resolution data to assess hurricane-induced changes at different tree structure levels. Using lidar data in conjunction with field observations, we were able to model aboveground necromass (AGN; standing dead trees) on a regional scale across the Shark River and Harney River within Everglades National Park. AGN estimates were higher in the mouth and downstream section of Shark River and higher in the downstream section of the Harney River, with higher impact observed in Shark River. Mean AGN estimates were 46 Mg/ha in Shark River and 38 Mg/ha in Harney River and an average loss of 29% in biomass, showing a significant damage when compared to other areas impacted by Hurricane Irma and previous disturbances in our study region.
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Affiliation(s)
- Selena Chavez
- Institute of Environment, Department of Earth and Environment Florida International University, Miami, FL 33199, USA;
| | - Shimon Wdowinski
- Institute of Environment, Department of Earth and Environment Florida International University, Miami, FL 33199, USA;
| | - David Lagomasino
- Integrated Coastal Programs, East Carolina University, Wanchese, NC 27981, USA;
| | - Edward Castañeda-Moya
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL 33199, USA;
| | - Temilola Fatoyinbo
- Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA;
| | | | - Joseph M. Smoak
- School of Geosciences, University of South Florida, St. Petersburg, FL 33701, USA
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Abstract
Salt marshes provide ecosystem services such as carbon sequestration1, coastal protection2, sea-level-rise (SLR) adaptation3 and recreation4. SLR5, storm events6, drainage7 and mangrove encroachment8 are known drivers of salt marsh loss. However, the global magnitude and location of changes in salt marsh extent remains uncertain. Here we conduct a global and systematic change analysis of Landsat satellite imagery from the years 2000-2019 to quantify the loss, gain and recovery of salt marsh ecosystems and then estimate the impact of these changes on blue carbon stocks. We show a net salt marsh loss globally, equivalent to an area double the size of Singapore (719 km2), with a loss rate of 0.28% year-1 from 2000 to 2019. Net global losses resulted in 16.3 (0.4-33.2, 90% confidence interval) Tg CO2e year-1 emissions from 2000 to 2019 and a 0.045 (-0.14-0.115) Tg CO2e year-1 reduction of carbon burial. Russia and the USA accounted for 64% of salt marsh losses, driven by hurricanes and coastal erosion. Our findings highlight the vulnerability of salt marsh systems to climatic changes such as SLR and intensification of storms and cyclones.
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Affiliation(s)
- Anthony D Campbell
- Biospheric Sciences Laboratory, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD, USA.
- NASA Postdoctoral Program, Oak Ridge Associated Universities, Oak Ridge, TN, USA.
- GESTAR II, University of Maryland, Baltimore County, Baltimore, MD, USA.
| | - Lola Fatoyinbo
- Biospheric Sciences Laboratory, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD, USA
| | - Liza Goldberg
- Biospheric Sciences Laboratory, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - David Lagomasino
- Integrated Coastal Programs, East Carolina University, Wanchese, NC, USA
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6
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Patrick CJ, Kominoski JS, McDowell WH, Branoff B, Lagomasino D, Leon M, Hensel E, Hensel MJS, Strickland BA, Aide TM, Armitage A, Campos-Cerqueira M, Congdon VM, Crowl TA, Devlin DJ, Douglas S, Erisman BE, Feagin RA, Geist SJ, Hall NS, Hardison AK, Heithaus MR, Hogan JA, Hogan JD, Kinard S, Kiszka JJ, Lin TC, Lu K, Madden CJ, Montagna PA, O’Connell CS, Proffitt CE, Kiel Reese B, Reustle JW, Robinson KL, Rush SA, Santos RO, Schnetzer A, Smee DL, Smith RS, Starr G, Stauffer BA, Walker LM, Weaver CA, Wetz MS, Whitman ER, Wilson SS, Xue J, Zou X. A general pattern of trade-offs between ecosystem resistance and resilience to tropical cyclones. Sci Adv 2022; 8:eabl9155. [PMID: 35235355 PMCID: PMC8890713 DOI: 10.1126/sciadv.abl9155] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 01/06/2022] [Indexed: 06/14/2023]
Abstract
Tropical cyclones drive coastal ecosystem dynamics, and their frequency, intensity, and spatial distribution are predicted to shift with climate change. Patterns of resistance and resilience were synthesized for 4138 ecosystem time series from n = 26 storms occurring between 1985 and 2018 in the Northern Hemisphere to predict how coastal ecosystems will respond to future disturbance regimes. Data were grouped by ecosystems (fresh water, salt water, terrestrial, and wetland) and response categories (biogeochemistry, hydrography, mobile biota, sedentary fauna, and vascular plants). We observed a repeated pattern of trade-offs between resistance and resilience across analyses. These patterns are likely the outcomes of evolutionary adaptation, they conform to disturbance theories, and they indicate that consistent rules may govern ecosystem susceptibility to tropical cyclones.
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Affiliation(s)
- Christopher J. Patrick
- Department of Biological Sciences, Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA
| | - John S. Kominoski
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL 33199, USA
| | - William H. McDowell
- Natural Resources and the Environment, University of New Hampshire, Durham, NH 03824, USA
- Institute of Environment, Florida International University, Miami, FL 33199, USA
| | - Benjamin Branoff
- Department of Biology, University of Puerto Rico-Río Piedras, San Juan, 00925, Puerto Rico
| | - David Lagomasino
- Department of Coastal Studies, East Carolina University, Wanchese, NC 27981, USA
| | - Miguel Leon
- Natural Resources and the Environment, University of New Hampshire, Durham, NH 03824, USA
| | - Enie Hensel
- Department of Biological Sciences, Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA
| | - Marc J. S. Hensel
- Department of Biological Sciences, Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA
| | - Bradley A. Strickland
- Department of Biological Sciences, Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA
| | - T. Mitchell Aide
- Department of Biology, University of Puerto Rico-Río Piedras, San Juan, 00925, Puerto Rico
| | - Anna Armitage
- Department of Marine Biology, Texas A&M University at Galveston, Galveston, TX 77554, USA
| | | | - Victoria M. Congdon
- University of Texas at Austin Marine Science Institute, Port Aransas, TX 78373, USA
- Florida Fish Wildlife Conservation Commission, Florida Fish and Wildlife Research Institute, 100 Eighth Avenue, Southeast, St. Petersburg, FL 33701, USA
| | - Todd A. Crowl
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL 33199, USA
| | - Donna J. Devlin
- Department of Life Sciences, Texas A&M University Corpus Christi, Corpus Christi, TX 78412, USA
| | - Sarah Douglas
- University of Texas at Austin Marine Science Institute, Port Aransas, TX 78373, USA
| | - Brad E. Erisman
- University of Texas at Austin Marine Science Institute, Port Aransas, TX 78373, USA
| | - Rusty A. Feagin
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX 77843, USA
| | - Simon J. Geist
- Department of Life Sciences, Texas A&M University Corpus Christi, Corpus Christi, TX 78412, USA
| | - Nathan S. Hall
- Department of Physical Sciences, Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA
| | - Amber K. Hardison
- Department of Physical Sciences, Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA
| | - Michael R. Heithaus
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL 33199, USA
| | - J. Aaron Hogan
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL 33199, USA
| | - J. Derek Hogan
- Department of Life Sciences, Texas A&M University Corpus Christi, Corpus Christi, TX 78412, USA
| | - Sean Kinard
- Department of Biological Sciences, Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA
| | - Jeremy J. Kiszka
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL 33199, USA
| | - Teng-Chiu Lin
- Department of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan
| | - Kaijun Lu
- University of Texas at Austin Marine Science Institute, Port Aransas, TX 78373, USA
| | - Christopher J. Madden
- Everglades-Florida Bay Ecosystem Lab, South Florida Water Management District, West Palm Beach, FL 33416, USA
| | - Paul A. Montagna
- Harte Research Institute, Texas A&M University, Corpus Christi, TX 78412, USA
| | | | - C. Edward Proffitt
- Department of Life Sciences, Texas A&M University Corpus Christi, Corpus Christi, TX 78412, USA
| | - Brandi Kiel Reese
- Marine Sciences, Dauphin Island Sea Lab, Dauphin Island, AL 36528, USA
| | - Joseph W. Reustle
- Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, NC 28557, USA
| | - Kelly L. Robinson
- Department of Biology, University of Louisiana at Lafayette, Lafayette, LA 70503, USA
| | - Scott A. Rush
- Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University, Starkville, MS 39762, USA
| | - Rolando O. Santos
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL 33199, USA
| | - Astrid Schnetzer
- Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - Delbert L. Smee
- Marine Sciences, Dauphin Island Sea Lab, Dauphin Island, AL 36528, USA
| | - Rachel S. Smith
- Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22903, USA
| | - Gregory Starr
- Department of Biology, University of Alabama, Tuscaloosa, AL 35487, USA
| | - Beth A. Stauffer
- Department of Biology, University of Louisiana at Lafayette, Lafayette, LA 70503, USA
| | - Lily M. Walker
- Harte Research Institute, Texas A&M University, Corpus Christi, TX 78412, USA
| | - Carolyn A. Weaver
- Department of Biology, Millersville University, Millersville, PA 17551, USA
| | - Michael S. Wetz
- Harte Research Institute, Texas A&M University, Corpus Christi, TX 78412, USA
| | - Elizabeth R. Whitman
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL 33199, USA
| | - Sara S. Wilson
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL 33199, USA
| | - Jianhong Xue
- University of Texas at Austin Marine Science Institute, Port Aransas, TX 78373, USA
| | - Xiaoming Zou
- Department of Environmental Sciences, University of Puerto Rico, San Juan, PR 00936-8377, USA
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Barenblitt A, Payton A, Lagomasino D, Fatoyinbo L, Asare K, Aidoo K, Pigott H, Som CK, Smeets L, Seidu O, Wood D. The large footprint of small-scale artisanal gold mining in Ghana. Sci Total Environ 2021; 781:146644. [PMID: 33812105 DOI: 10.1016/j.scitotenv.2021.146644] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/17/2021] [Accepted: 03/17/2021] [Indexed: 06/12/2023]
Abstract
Gold mining has played a significant role in Ghana's economy for centuries. Regulation of this industry has varied over time and while industrial mining is prevalent in the country, the expansion of artisanal mining, or Galamsey has escalated in recent years. Many of these artisanal mines are not only harmful to human health due to the use of Mercury (Hg) in the amalgamation process, but also leave a significant footprint on terrestrial ecosystems, degrading and destroying forested ecosystems in the region. In this study, the Landsat image archive available through Google Earth Engine was used to quantify the total footprint of vegetation loss due to artisanal gold mines in Ghana from 2005 to 2019 and understand how conversion of forested regions to mining has changed over a decadal period from 2007 to 2017. A combination of machine learning and change detection algorithms were used to calculate different land cover conversions and the timing of conversion annually. Within the study area of southwestern Ghana, our results indicate that approximately 47,000 ha (⨦2218 ha) of vegetation were converted to mining at an average rate of ~2600 ha yr-1. The results indicate that a high percentage (~50%) of this mining occurred between 2014 and 2017. Around 700 ha of this mining occurred within protected areas as mapped by the World Database of Protected Areas. In addition to deforestation, increased artisanal mining activity in recent years has the potential to affect human health, access to drinking water resources and food security. This work expands upon limited research into the spatial footprint of Galamsey in Ghana, complements mapping efforts by local geographers, and will support efforts by the government of Ghana to monitor deforestation caused by artisanal mining.
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Affiliation(s)
- Abigail Barenblitt
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States.
| | - Amanda Payton
- Department of Coastal Studies, East Carolina University, Wanchese, NC, United States
| | - David Lagomasino
- Department of Coastal Studies, East Carolina University, Wanchese, NC, United States
| | - Lola Fatoyinbo
- Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States
| | - Kofi Asare
- Ghana Space Science and Technology Institute, Accra, Ghana
| | - Kenneth Aidoo
- Ghana Space Science and Technology Institute, Accra, Ghana
| | | | | | | | | | - Danielle Wood
- Space Enabled Research Group, Massachusetts Institute of Technology, Cambridge, MA, United States
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8
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Lagomasino D, Fatoyinbo T, Castañeda-Moya E, Cook BD, Montesano PM, Neigh CSR, Corp LA, Ott LE, Chavez S, Morton DC. Storm surge and ponding explain mangrove dieback in southwest Florida following Hurricane Irma. Nat Commun 2021; 12:4003. [PMID: 34183663 PMCID: PMC8238932 DOI: 10.1038/s41467-021-24253-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [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: 06/12/2020] [Accepted: 05/27/2021] [Indexed: 02/06/2023] Open
Abstract
Mangroves buffer inland ecosystems from hurricane winds and storm surge. However, their ability to withstand harsh cyclone conditions depends on plant resilience traits and geomorphology. Using airborne lidar and satellite imagery collected before and after Hurricane Irma, we estimated that 62% of mangroves in southwest Florida suffered canopy damage, with largest impacts in tall forests (>10 m). Mangroves on well-drained sites (83%) resprouted new leaves within one year after the storm. By contrast, in poorly-drained inland sites, we detected one of the largest mangrove diebacks on record (10,760 ha), triggered by Irma. We found evidence that the combination of low elevation (median = 9.4 cm asl), storm surge water levels (>1.4 m above the ground surface), and hydrologic isolation drove coastal forest vulnerability and were independent of tree height or wind exposure. Our results indicated that storm surge and ponding caused dieback, not wind. Tidal restoration and hydrologic management in these vulnerable, low-lying coastal areas can reduce mangrove mortality and improve resilience to future cyclones.
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Affiliation(s)
- David Lagomasino
- grid.255364.30000 0001 2191 0423Department of Coastal Studies, East Carolina University, Wanchese, NC USA
| | - Temilola Fatoyinbo
- grid.133275.10000 0004 0637 6666Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD USA
| | - Edward Castañeda-Moya
- grid.65456.340000 0001 2110 1845Institute of Environment, Florida International University, Miami, FL USA
| | - Bruce D. Cook
- grid.133275.10000 0004 0637 6666Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD USA
| | - Paul M. Montesano
- grid.133275.10000 0004 0637 6666Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD USA ,grid.427409.c0000 0004 0453 291XScience Systems and Applications, Inc., Lanham, MD USA
| | - Christopher S. R. Neigh
- grid.133275.10000 0004 0637 6666Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD USA
| | - Lawrence A. Corp
- grid.133275.10000 0004 0637 6666Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD USA ,grid.427409.c0000 0004 0453 291XScience Systems and Applications, Inc., Lanham, MD USA
| | - Lesley E. Ott
- grid.133275.10000 0004 0637 6666Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD USA
| | - Selena Chavez
- grid.65456.340000 0001 2110 1845Department of Earth and Environment, Florida International University, Miami, FL USA
| | - Douglas C. Morton
- grid.133275.10000 0004 0637 6666Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD USA
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9
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Adame MF, Connolly RM, Turschwell MP, Lovelock CE, Fatoyinbo T, Lagomasino D, Goldberg LA, Holdorf J, Friess DA, Sasmito SD, Sanderman J, Sievers M, Buelow C, Kauffman JB, Bryan‐Brown D, Brown CJ. Future carbon emissions from global mangrove forest loss. Glob Chang Biol 2021; 27:2856-2866. [PMID: 33644947 PMCID: PMC8251893 DOI: 10.1111/gcb.15571] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 02/15/2021] [Indexed: 05/28/2023]
Abstract
Mangroves have among the highest carbon densities of any tropical forest. These 'blue carbon' ecosystems can store large amounts of carbon for long periods, and their protection reduces greenhouse gas emissions and supports climate change mitigation. Incorporating mangroves into Nationally Determined Contributions to the Paris Agreement and their valuation on carbon markets requires predicting how the management of different land-uses can prevent future greenhouse gas emissions and increase CO2 sequestration. We integrated comprehensive global datasets for carbon stocks, mangrove distribution, deforestation rates, and land-use change drivers into a predictive model of mangrove carbon emissions. We project emissions and foregone soil carbon sequestration potential under 'business as usual' rates of mangrove loss. Emissions from mangrove loss could reach 2391 Tg CO2 eq by the end of the century, or 3392 Tg CO2 eq when considering foregone soil carbon sequestration. The highest emissions were predicted in southeast and south Asia (West Coral Triangle, Sunda Shelf, and the Bay of Bengal) due to conversion to aquaculture or agriculture, followed by the Caribbean (Tropical Northwest Atlantic) due to clearing and erosion, and the Andaman coast (West Myanmar) and north Brazil due to erosion. Together, these six regions accounted for 90% of the total potential CO2 eq future emissions. Mangrove loss has been slowing, and global emissions could be more than halved if reduced loss rates remain in the future. Notably, the location of global emission hotspots was consistent with every dataset used to calculate deforestation rates or with alternative assumptions about carbon storage and emissions. Our results indicate the regions in need of policy actions to address emissions arising from mangrove loss and the drivers that could be managed to prevent them.
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Affiliation(s)
- Maria F. Adame
- Australian Rivers InstituteGriffith UniversityNathanQldAustralia
- Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and ScienceGriffith UniversityGold CoastQldAustralia
| | - Rod M. Connolly
- Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and ScienceGriffith UniversityGold CoastQldAustralia
| | | | | | | | - David Lagomasino
- Department of Coastal StudiesEast Carolina UniversityWancheseNCUSA
| | - Liza A. Goldberg
- Earth System Science Interdisciplinary CenterUniversity of MarylandCollege ParkMDUSA
| | - Jordan Holdorf
- Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and ScienceGriffith UniversityGold CoastQldAustralia
| | - Daniel A. Friess
- Department of GeographyNational University of SingaporeSingaporeSingapore
- Mangrove Specialist GroupCentre for Nature‐based Climate Solutions, National University of SingaporeSingaporeSingapore
| | - Sigit D. Sasmito
- Research Institute for Environment and LivelihoodsCharles Darwin UniversityCasuarinaNTAustralia
- Center for International Forestry ResearchBogorIndonesia
- NUS Environmental Research InstituteNational University of SingaporeSingaporeSingapore
| | | | - Michael Sievers
- Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and ScienceGriffith UniversityGold CoastQldAustralia
| | - Christina Buelow
- Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and ScienceGriffith UniversityGold CoastQldAustralia
| | - J. Boone Kauffman
- Department of Fisheries, Wildlife and Conservation SciencesOregon State UniversityCorvallisORUSA
| | - Dale Bryan‐Brown
- Australian Rivers InstituteGriffith UniversityNathanQldAustralia
| | - Christopher J. Brown
- Australian Rivers InstituteGriffith UniversityNathanQldAustralia
- Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and ScienceGriffith UniversityGold CoastQldAustralia
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10
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Goldberg L, Lagomasino D, Thomas N, Fatoyinbo T. Global declines in human-driven mangrove loss. Glob Chang Biol 2020; 26:5844-5855. [PMID: 32654309 PMCID: PMC7540710 DOI: 10.1111/gcb.15275] [Citation(s) in RCA: 147] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 06/26/2020] [Indexed: 05/06/2023]
Abstract
Global mangrove loss has been attributed primarily to human activity. Anthropogenic loss hotspots across Southeast Asia and around the world have characterized the ecosystem as highly threatened, though natural processes such as erosion can also play a significant role in forest vulnerability. However, the extent of human and natural threats has not been fully quantified at the global scale. Here, using a Random Forest-based analysis of over one million Landsat images, we present the first 30 m resolution global maps of the drivers of mangrove loss from 2000 to 2016, capturing both human-driven and natural stressors. We estimate that 62% of global losses between 2000 and 2016 resulted from land-use change, primarily through conversion to aquaculture and agriculture. Up to 80% of these human-driven losses occurred within six Southeast Asian nations, reflecting the regional emphasis on enhancing aquaculture for export to support economic development. Both anthropogenic and natural losses declined between 2000 and 2016, though slower declines in natural loss caused an increase in their relative contribution to total global loss area. We attribute the decline in anthropogenic losses to the regionally dependent combination of increased emphasis on conservation efforts and a lack of remaining mangroves viable for conversion. While efforts to restore and protect mangroves appear to be effective over decadal timescales, the emergence of natural drivers of loss presents an immediate challenge for coastal adaptation. We anticipate that our results will inform decision-making within conservation and restoration initiatives by providing a locally relevant understanding of the causes of mangrove loss.
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Affiliation(s)
- Liza Goldberg
- Atholton High SchoolColumbiaMDUSA
- Biospheric Sciences LaboratoryNASA Goddard Space Flight CenterGreenbeltMDUSA
- Earth Systems Science Interdisciplinary CenterUniversity of MarylandCollege ParkMDUSA
| | - David Lagomasino
- Biospheric Sciences LaboratoryNASA Goddard Space Flight CenterGreenbeltMDUSA
- Department of Coastal StudiesEast Carolina UniversityWancheseNCUSA
| | - Nathan Thomas
- Biospheric Sciences LaboratoryNASA Goddard Space Flight CenterGreenbeltMDUSA
- Earth Systems Science Interdisciplinary CenterUniversity of MarylandCollege ParkMDUSA
| | - Temilola Fatoyinbo
- Biospheric Sciences LaboratoryNASA Goddard Space Flight CenterGreenbeltMDUSA
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11
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Worthington TA, Zu Ermgassen PSE, Friess DA, Krauss KW, Lovelock CE, Thorley J, Tingey R, Woodroffe CD, Bunting P, Cormier N, Lagomasino D, Lucas R, Murray NJ, Sutherland WJ, Spalding M. A global biophysical typology of mangroves and its relevance for ecosystem structure and deforestation. Sci Rep 2020; 10:14652. [PMID: 32887898 PMCID: PMC7473852 DOI: 10.1038/s41598-020-71194-5] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 07/28/2020] [Indexed: 11/30/2022] Open
Abstract
Mangrove forests provide many ecosystem services but are among the world’s most threatened ecosystems. Mangroves vary substantially according to their geomorphic and sedimentary setting; while several conceptual frameworks describe these settings, their spatial distribution has not been quantified. Here, we present a new global mangrove biophysical typology and show that, based on their 2016 extent, 40.5% (54,972 km2) of mangrove systems were deltaic, 27.5% (37,411 km2) were estuarine and 21.0% (28,493 km2) were open coast, with lagoonal mangroves the least abundant (11.0%, 14,993 km2). Mangroves were also classified based on their sedimentary setting, with carbonate mangroves being less abundant than terrigenous, representing just 9.6% of global coverage. Our typology provides a basis for future research to incorporate geomorphic and sedimentary setting in analyses. We present two examples of such applications. Firstly, based on change in extent between 1996 and 2016, we show while all types exhibited considerable declines in area, losses of lagoonal mangroves (− 6.9%) were nearly twice that of other types. Secondly, we quantify differences in aboveground biomass between mangroves of different types, with it being significantly lower in lagoonal mangroves. Overall, our biophysical typology provides a baseline for assessing restoration potential and for quantifying mangrove ecosystem service provision.
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Affiliation(s)
- Thomas A Worthington
- Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, CB2 3QZ, UK.
| | - Philine S E Zu Ermgassen
- Global Change Group, School of Geosciences, Grant Institute, Kings Buildings, University of Edinburgh, Edinburgh, EH9 3FE, UK
| | - Daniel A Friess
- Department of Geography, National University of Singapore, 1 Arts Link, Singapore, 117570, Singapore
| | - Ken W Krauss
- U.S. Geological Survey, Wetland and Aquatic Research Center, 700 Cajundome Blvd, Lafayette, LA, 70506, USA
| | - Catherine E Lovelock
- School of Biological Sciences, University of Queensland, St. Lucia, QLD, 4072, Australia
| | | | - Rick Tingey
- Spatial Support Systems, LLC, Cottonwood Heights, UT, 84121, USA
| | - Colin D Woodroffe
- School of Earth Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Pete Bunting
- Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, Wales, UK
| | - Nicole Cormier
- Department of Earth and Environmental Sciences, Macquarie University, Level 4, 12 Wally's Walk, Sydney, NSW, 2109, Australia
| | - David Lagomasino
- Department of Coastal Studies, East Carolina University, Wanchese, NC, 27981, USA.,Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA
| | - Richard Lucas
- Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, Wales, UK
| | - Nicholas J Murray
- College of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia
| | - William J Sutherland
- Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, CB2 3QZ, UK
| | - Mark Spalding
- Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, CB2 3QZ, UK.,The Nature Conservancy, c/o Department of Physical, Earth, and Environmental Sciences, University of Siena, Pian dei Mantellini, 53100, Siena, Italy
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12
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Hogan JA, Feagin RA, Starr G, Ross M, Lin TC, O’connell C, Huff TP, Stauffer BA, Robinson KL, Lara MC, Xue J, Reese BK, Geist SJ, Whitman ER, Douglas S, Congdon VM, Reustle JW, Smith RS, Lagomasino D, Strickland BA, Wilson SS, Proffitt CE, Hogan JD, Branoff BL, Armitage AR, Rush SA, Santos RO, Campos-Cerqueira M, Montagna PA, Erisman B, Walker L, Silver WL, Crowl TA, Wetz M, Hall N, Zou X, Pennings SC, Wang LJ, Chang CT, Leon M, Mcdowell WH, Kominoski JS, Patrick CJ. A Research Framework to Integrate Cross-Ecosystem Responses to Tropical Cyclones. Bioscience 2020. [DOI: 10.1093/biosci/biaa034] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Tropical cyclones play an increasingly important role in shaping ecosystems. Understanding and generalizing their responses is challenging because of meteorological variability among storms and its interaction with ecosystems. We present a research framework designed to compare tropical cyclone effects within and across ecosystems that: a) uses a disaggregating approach that measures the responses of individual ecosystem components, b) links the response of ecosystem components at fine temporal scales to meteorology and antecedent conditions, and c) examines responses of ecosystem using a resistance–resilience perspective by quantifying the magnitude of change and recovery time. We demonstrate the utility of the framework using three examples of ecosystem response: gross primary productivity, stream biogeochemical export, and organismal abundances. Finally, we present the case for a network of sentinel sites with consistent monitoring to measure and compare ecosystem responses to cyclones across the United States, which could help improve coastal ecosystem resilience.
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Affiliation(s)
- J Aaron Hogan
- Department of Biological Sciences, Florida International University, Miami, Florida
- Environmental Sciences Division, Oak Ridge National Laboratory in Oak Ridge, Tennessee
| | - Rusty A Feagin
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, Texas
| | - Gregory Starr
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama
| | - Michael Ross
- Department of Earth and Environment, Florida International University, Miami, Florida
| | - Teng-Chiu Lin
- Department of Life Sciences, National Taiwan Normal University, Taipei, Taiwan
| | - Christine O’connell
- Department of Environmental Science, Policy, and Management, University of California, Berkley, Berkley, California
| | - Thomas P Huff
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, Texas
| | - Beth A Stauffer
- Department of Biology, University of Louisiana, Lafayette, Lafayette, Louisiana
| | - Kelly L Robinson
- Department of Biology, University of Louisiana, Lafayette, Lafayette, Louisiana
| | - Maria Chapela Lara
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire
| | - Jianhong Xue
- Marine Science Institute, University of Texas, Austin, Port Aransas, Texas
| | - Brandi Kiel Reese
- Department of Life Sciences, Texas A&M University–Corpus Christi, Corpus Christi, Texas
| | - Simon J Geist
- Department of Life Sciences, Texas A&M University–Corpus Christi, Corpus Christi, Texas
| | - Elizabeth R Whitman
- Department of Biological Sciences, Florida International University, Miami, Florida
| | - Sarah Douglas
- Marine Science Institute, University of Texas, Austin, Port Aransas, Texas
| | - Victoria M Congdon
- Marine Science Institute, University of Texas, Austin, Port Aransas, Texas
| | - Joseph W Reustle
- Department of Life Sciences, Texas A&M University–Corpus Christi, Corpus Christi, Texas
| | - Rachel S Smith
- Odum School of Ecology, University of Georgia, Athens, Georgia
| | - David Lagomasino
- Department of Coastal Studies, East Carolina University, Wanchese, North Carolina, Maryland
| | - Bradley A Strickland
- Department of Biological Sciences, Florida International University, Miami, Florida
| | - Sara S Wilson
- Department of Biological Sciences, Florida International University, Miami, Florida
| | - C Edward Proffitt
- Department of Life Sciences, Texas A&M University–Corpus Christi, Corpus Christi, Texas
| | - J Derek Hogan
- Department of Life Sciences, Texas A&M University–Corpus Christi, Corpus Christi, Texas
| | - Benjamin L Branoff
- National Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, Tennessee
| | - Anna R Armitage
- Department of Marine Biology, Texas A&M University, Galveston, Galveston, Texas
| | - Scott A Rush
- Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University, Starkville, Mississippi
| | - Rolando O Santos
- Department of Earth and Environment, Florida International University, Miami, Florida
| | | | - Paul A Montagna
- Harte Research Institute for Gulf of Mexico Studies, Texas A&M University–Corpus Christi, Corpus Christi, Texas
| | - Brad Erisman
- Marine Science Institute, University of Texas, Austin, Port Aransas, Texas
| | - Lily Walker
- Department of Physical and Environmental Sciences, Texas A&M University–Corpus Christi, Corpus Christi, Texas
| | - Whendee L Silver
- Department of Environmental Science, Policy, and Management, University of California, Berkley, Berkley, California
| | - Todd A Crowl
- Department of Biological Sciences, Florida International University, Miami, Florida
- Institute of Environment, Florida International University, Miami, Florida
| | - Michael Wetz
- Harte Research Institute for Gulf of Mexico Studies, Texas A&M University–Corpus Christi, Corpus Christi, Texas
| | - Nathan Hall
- Institute of Marine Sciences, University of North Carolina, Chapel Hill, Morehead, North Carolina
| | - Xiaoming Zou
- Department of Environmental Science, University of Puerto Rico–Rio Piedras, San Juan, Puerto Rico
| | - Steven C Pennings
- Department of Biology and Biochemistry, University of Houston, Houston, Texas
| | - Lih-Jih Wang
- School of Forest Resources, National Taiwan University, Taipei, Taiwan
| | - Chung-Te Chang
- Department of Life Sciences Tunghai University, Taichung, Taiwan
| | - Miguel Leon
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire
| | - William H Mcdowell
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire
| | - John S Kominoski
- Department of Biological Sciences, Florida International University, Miami, Florida
- Institute of Environment, Florida International University, Miami, Florida
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13
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Worthington TA, Andradi-Brown DA, Bhargava R, Buelow C, Bunting P, Duncan C, Fatoyinbo L, Friess DA, Goldberg L, Hilarides L, Lagomasino D, Landis E, Longley-Wood K, Lovelock CE, Murray NJ, Narayan S, Rosenqvist A, Sievers M, Simard M, Thomas N, van Eijk P, Zganjar C, Spalding M. Harnessing Big Data to Support the Conservation and Rehabilitation of Mangrove Forests Globally. ACTA ACUST UNITED AC 2020. [DOI: 10.1016/j.oneear.2020.04.018] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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14
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Lagomasino D, Fatoyinbo T, Lee S, Feliciano E, Trettin C, Simard M. A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space. Remote Sens (Basel) 2016; 8:327. [PMID: 29629207 PMCID: PMC5884677 DOI: 10.3390/rs8040327] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Canopy height is one of the strongest predictors of biomass and carbon in forested ecosystems. Additionally, mangrove ecosystems represent one of the most concentrated carbon reservoirs that are rapidly degrading as a result of deforestation, development, and hydrologic manipulation. Therefore, the accuracy of Canopy Height Models (CHM) over mangrove forest can provide crucial information for monitoring and verification protocols. We compared four CHMs derived from independent remotely sensed imagery and identified potential errors and bias between measurement types. CHMs were derived from three spaceborne datasets; Very-High Resolution (VHR) stereophotogrammetry, TerraSAR-X add-on for Digital Elevation Measurement, and Shuttle Radar Topography Mission (TanDEM-X), and lidar data which was acquired from an airborne platform. Each dataset exhibited different error characteristics that were related to spatial resolution, sensitivities of the sensors, and reference frames. Canopies over 10 m were accurately predicted by all CHMs while the distributions of canopy height were best predicted by the VHR CHM. Depending on the guidelines and strategies needed for monitoring and verification activities, coarse resolution CHMs could be used to track canopy height at regional and global scales with finer resolution imagery used to validate and monitor critical areas undergoing rapid changes.
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Affiliation(s)
- David Lagomasino
- Universities Space Research Association/GESTAR, 7178 Columbia Gateway Dr., Columbia, MD 21046, USA
- NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
- Correspondence: ; Tel.: +1-301-614-6666
| | | | - SeungKuk Lee
- NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
| | | | - Carl Trettin
- US Department of Agriculture, Forest Service, Cordesville, SC 29434, USA
| | - Marc Simard
- Jet Propulsion Laboratory, Pasadena, CA 91109, USA
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15
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Gaiser EE, Anderson EP, Castañeda-Moya E, Collado-Vides L, Fourqurean JW, Heithaus MR, Jaffé R, Lagomasino D, Oehm NJ, Price RM, Rivera-Monroy VH, Chowdhury RR, Troxler TG. New perspectives on an iconic landscape from comparative international long-term ecological research. Ecosphere 2015. [DOI: 10.1890/es14-00388.1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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16
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Lagomasino D, Fatoyinbo T, Lee S, Simard M. High-resolution forest canopy height estimation in an African blue carbon ecosystem. Remote Sens Ecol Conserv 2015; 1:51-60. [PMID: 27980807 PMCID: PMC5125405 DOI: 10.1002/rse2.3] [Citation(s) in RCA: 7] [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] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Revised: 05/29/2015] [Accepted: 06/08/2015] [Indexed: 06/06/2023]
Abstract
Mangrove forests are one of the most productive and carbon dense ecosystems that are only found at tidally inundated coastal areas. Forest canopy height is an important measure for modeling carbon and biomass dynamics, as well as land cover change. By taking advantage of the flat terrain and dense canopy cover, the present study derived digital surface models (DSMs) using stereo-photogrammetric techniques on high-resolution spaceborne imagery (HRSI) for southern Mozambique. A mean-weighted ground surface elevation factor was subtracted from the HRSI DSM to accurately estimate the canopy height in mangrove forests in southern Mozambique. The mean and H100 tree height measured in both the field and with the digital canopy model provided the most accurate results with a vertical error of 1.18-1.84 m, respectively. Distinct patterns were identified in the HRSI canopy height map that could not be discerned from coarse shuttle radar topography mission canopy maps even though the mode and distribution of canopy heights were similar over the same area. Through further investigation, HRSI DSMs have the potential of providing a new type of three-dimensional dataset that could serve as calibration/validation data for other DSMs generated from spaceborne datasets with much larger global coverage. HSRI DSMs could be used in lieu of Lidar acquisitions for canopy height and forest biomass estimation, and be combined with passive optical data to improve land cover classifications.
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Affiliation(s)
- David Lagomasino
- Universities Space Research AssociationColumbiaMaryland
- NASA Goddard Space Flight CenterGreenbeltMaryland
| | | | | | - Marc Simard
- California Institute of Technology – Jet Propulsion LaboratoryPasadenaCalifornia
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