Creation of a high spatio‐temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC‐21)

AIM: To provide high‐resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012 with the goal of driving mangrove research questions pertaining to biodiversity, carbon stocks, climate change, functionality, food security, livelihoods, fisheries...

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Published inGlobal ecology and biogeography Vol. 25; no. 6; pp. 729 - 738
Main Authors Hamilton, Stuart E., Casey, Daniel
Format Journal Article
LanguageEnglish
Published Oxford John Wiley & Sons, Ltd 01.06.2016
Blackwell Publishing Ltd
John Wiley & Sons Ltd
Wiley Subscription Services, Inc
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Abstract AIM: To provide high‐resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012 with the goal of driving mangrove research questions pertaining to biodiversity, carbon stocks, climate change, functionality, food security, livelihoods, fisheries support and conservation that have been impeded until now by a lack of suitable data. LOCATION: Global, covering 99% of all mangrove forests. METHODS: We synthesized the Global Forest Change database, the Terrestrial Ecosystems of the World database and the Mangrove Forests of the World database to extract mangrove forest cover at high spatial and temporal resolutions. We then used the new database to monitor mangrove cover at the global, national and protected area scales. RESULTS: Countries showing relatively high amounts of mangrove loss include Myanmar, Malaysia, Cambodia, Indonesia and Guatemala. Indonesia remains by far the largest mangrove‐holding nation, containing between 26% and 29% of the global mangrove inventory with a deforestation rate of between 0.26% and 0.66% per year. We have made our new database, CGMFC‐21, freely available. MAIN CONCLUSIONS: Global mangrove deforestation continues but at a much reduced rate of between 0.16% and 0.39% per year. Southeast Asia is a region of concern with mangrove deforestation rates between 3.58% and 8.08%, this in a region containing half of the entire global mangrove forest inventory. The global mangrove deforestation pattern from 2000 to 2012 is one of decreasing rates of deforestation, with many nations essentially stable, with the exception of the largest mangrove‐holding region of Southeast Asia. We provide a standardized spatial dataset that monitors mangrove deforestation globally at high spatio‐temporal resolutions. These data can be used to drive the mangrove research agenda, particularly as it pertains to monitoring of mangrove carbon stocks and the establishment of baseline local mangrove forest inventories required for payment for ecosystem service initiatives.
AbstractList Aim: To provide high-resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012 with the goal of driving mangrove research questions pertaining to biodiversity, carbon stocks, climate change, functionality, food security, livelihoods, fisheries support and conservation that have been impeded until now by a lack of suitable data. Location: Global, covering 99% of all mangrove forests. Methods: We synthesized the Global Forest Change database, the Terrestrial Ecosystems of the World database and the Mangrove Forests of the World database to extract mangrove forest cover at high spatial and temporal resolutions. We then used the new database to monitor mangrove cover at the global, national and protected area scales. Results: Countries showing relatively high amounts of mangrove loss include Myanmar, Malaysia, Cambodia, Indonesia and Guatemala. Indonesia remains by far the largest mangrove-holding nation, containing between 26% and 29% of the global mangrove inventory with a deforestation rate of between 0.26% and 0.66% per year. We have made our new database, CGMFC-21, freely available. Main conclusions: Global mangrove deforestation continues but at a much reduced rate of between 0.16% and 0.39% per year. Southeast Asia is a region of concern with mangrove deforestation rates between 3.58% and 8.08%, this in a region containing half of the entire global mangrove forest inventory. The global mangrove deforestation pattern from 2000 to 2012 is one of decreasing rates of deforestation, with many nations essentially stable, with the exception of the largest mangrove-holding region of Southeast Asia. We provide a standardized spatial dataset that monitors mangrove deforestation globally at high spatio-temporal resolutions. These data can be used to drive the mangrove research agenda, particularly as it pertains to monitoring of mangrove carbon stocks and the establishment of baseline local mangrove forest inventories required for payment for ecosystem service initiatives.
Aim To provide high‐resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012 with the goal of driving mangrove research questions pertaining to biodiversity, carbon stocks, climate change, functionality, food security, livelihoods, fisheries support and conservation that have been impeded until now by a lack of suitable data. Location Global, covering 99% of all mangrove forests. Methods We synthesized the Global Forest Change database, the Terrestrial Ecosystems of the World database and the Mangrove Forests of the World database to extract mangrove forest cover at high spatial and temporal resolutions. We then used the new database to monitor mangrove cover at the global, national and protected area scales. Results Countries showing relatively high amounts of mangrove loss include Myanmar, Malaysia, Cambodia, Indonesia and Guatemala. Indonesia remains by far the largest mangrove‐holding nation, containing between 26% and 29% of the global mangrove inventory with a deforestation rate of between 0.26% and 0.66% per year. We have made our new database, CGMFC‐21, freely available. Main conclusions Global mangrove deforestation continues but at a much reduced rate of between 0.16% and 0.39% per year. Southeast Asia is a region of concern with mangrove deforestation rates between 3.58% and 8.08%, this in a region containing half of the entire global mangrove forest inventory. The global mangrove deforestation pattern from 2000 to 2012 is one of decreasing rates of deforestation, with many nations essentially stable, with the exception of the largest mangrove‐holding region of Southeast Asia. We provide a standardized spatial dataset that monitors mangrove deforestation globally at high spatio‐temporal resolutions. These data can be used to drive the mangrove research agenda, particularly as it pertains to monitoring of mangrove carbon stocks and the establishment of baseline local mangrove forest inventories required for payment for ecosystem service initiatives.
Author Hamilton, Stuart E.
Casey, Daniel
Author_xml – sequence: 1
  givenname: Stuart E.
  surname: Hamilton
  fullname: Hamilton, Stuart E.
  email: sehamilton@salisbury.edu
  organization: Geography and Geosciences, Salisbury University, MD, 21801, Salisbury, USA
– sequence: 2
  givenname: Daniel
  surname: Casey
  fullname: Casey, Daniel
  organization: Institute for Health Metrics and Evaluation, WA, 98121, Seattle, USA
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Ruiz-Luna, A., Acosta-Velázquez, J. & Berlanga-Robles, C.A. (2008) On the reliability of the data of the extent of mangroves: a case study in Mexico. Ocean and Coastal Management, 51, 342-351.
Homer, C.H., Fry, J.A. & Barnes, C.A. (2012) The national land cover database. US Geological Survey Fact Sheet, 3020, 1-4.
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Bouillon, S., Borges, A.V., Castañeda-Moya, E., Diele, K., Dittmar, T., Duke, N.C., Kristensen, E., Lee, S.Y., Marchand, C., Middelburg, J.J., Rivera-Monroy, V.H., Smith, T.J. & Twilley, R.R. (2008) Mangrove production and carbon sinks: a revision of global budget estimates. Global Biogeochemical Cycles, 22, GB2013.
Lugendo, B.R., Nagelkerken, I., Kruitwagen, G., van der Velde, G. & Mgaya, Y.D. (2007) Relative importance of mangroves as feeding habitats for fishes: a comparison between mangrove habitats with different settings. Bulletin of Marine Science, 80, 497-512.
Olson, D.M., Dinerstein, E., Wikramanayake, E.D., Burgess, N.D., Powell, G.V.N., Underwood, E.C., D'amico, J.A., Itoua, I., Strand, H.E., Morrison, J.C., Loucks, C.J., Allnutt, T.F., Ricketts, T.H., Kura, Y., Lamoreux, J.F., Wettengel, W.W., Hedao, P. & Kassem, K.R. (2001) Terrestrial ecoregions of the world: a new map of life on earth: a new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. BioScience, 51, 933-938.
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Griscom, B., Shoch, D., Stanley, B., Cortez, R. & Virgilio, N. (2009b) Implications of REDD baseline methods for different country circumstances during an initial performance period. The Nature Conservancy, Arlington, VA.
Angelsen, A. (2008) REDD models and baselines. International Forestry Review, 10, 465-475.
Satapathy, D.R., Krupadam, R.J., Kumar, L.P. & Wate, S.R. (2007) The application of satellite data for the quantification of mangrove loss and coastal management in the Godavari estuary, east coast of India. Environmental Monitoring and Assessment, 134, 453-469.
Donato, D.C., Kauffman, J.B., Murdiyarso, D., Kurnianto, S., Stidham, M. & Kanninen, M. (2011) Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4, 293-297.
Tropek, R., Sedláček, O., Beck, J., Keil, P., Musilová, Z., Šímová, I. & Storch, D. (2014) Comment on "high-resolution global maps of 21st-century forest cover change". Science, 344, 981.
FAO (1995) Forest resources assessment 1990. FAO, Rome, Italy.
Bennett, B. (2001) What is a forest? On the vagueness of certain geographic concepts. Topoi, 20, 189-201.
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Hishamunda, N., Bueno, P.B., Ridler, N. & Yap, W.G. (2009) Analysis of aquaculture development in Southeast Asia. FAO, Rome, Italy.
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Groombridge, B. (ed.) (1992) Global biodiversity: status of the earth's living resources. Chapman & Hall, London.
Asner, G.P., Powell, G.V., Mascaro, J., Knapp, D.E., Clark, J.K., Jacobson, J., Kennedy-Bowdoin, T., Balaji, A., Paez-Acosta, G. & Victoria, E. (2010) High-resolution forest carbon stocks and emissions in the Amazon. Proceedings of the National Academy of Sciences USA, 107, 16738-16742.
Fisher, P. & Spalding, M. (1993) Protected areas with mangrove habitat. World Conservation Centre, Cambridge, UK.
Lanly, J.P. (1982) Tropical forest resources assesment. Global forest resources assessment. FAO, Rome, Italy.
Spalding, M., Kainuma, M. & Collins, L. (2010) World atlas of mangroves. Earthscan, London.
Friess, D. & Webb, E. (2011) Bad data equals bad policy: how to trust estimates of ecosystem loss when there is so much uncertainty? Environmental Conservation, 38, 1-5.
FAO (1997) State of the world's forests, 1997. Words and Publications, Oxford, UK.
Saenger, P., Hegerl, E.J. & Davie, J.D.S. (1983) Global status of mangrove ecosystems. Commission on Ecology Papers no. 3. World Conservation Union (IUCN), Gland, Switzerland.
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Huettner, M., Leemans, R., Kok, K. & Ebeling, J. (2009) A comparison of baseline methodologies for 'reducing emissions from deforestation and degradation'. Carbon Balance and Management, 4, 4.
Friess, D.A. & Webb, E.L. (2014) Variability in mangrove change estimates and implications for the assessment of ecosystem service provision. Global Ecology and Biogeography, 23, 715-725.
Siikamäki, J., Sanchirico, J.N. & Jardine, S.L. (2012) Global economic potential for reducing carbon dioxide emissions from mangrove loss. Proceedings of the National Academy of Sciences USA, 109, 14369-14374.
Griscom, B., Shoch, D., Stanley, B., Cortez, R. & Virgilio, N. (2009a) Sensitivity of amounts and distribution of tropical forest carbon credits depending on baseline rules. Environmental Science and Policy, 12, 897-911.
FAO (2007) The world's mangroves 1980-2005. FAO Forestry Paper. FAO, Rome, Italy.
Chong, V.C. (2007) Mangroves-fisheries linkages in the Malaysian perspective. Bulletin of Marine Science, 80, 755-772.
Giri, C., Ochieng, E., Tieszen, L.L., Zhu, Z., Singh, A., Loveland, T., Masek, J. & Duke, N. (2011) Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography, 20, 154-159.
Hansen, M.C., Potapov, P.V., Margono, B., Stehman, S., Turubanova, S.A. & Tyukavina, A. (2014) Response to comment on high-resolution global maps of 21st-century forest cover change. Science, 344, 981
Murdiyarso, D., Purbopuspito, J., Kauffman, J.B., Warren, M.W., Sasmito, S.D., Donato, D.C., Manuri, S., Krisnawati, H., Taberima, S. & Kurnianto, S. (2015) The potential of Indonesian mangrove forests for global climate change mitigation. Nature Climate Change, 5, 1089-1092.
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Hamilton, S. (2013) Assessing the role of commercial aquaculture in displacing mangrove forest. Bulletin of Marine Science, 89, 585-601.
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References_xml – reference: Friess, D. & Webb, E. (2011) Bad data equals bad policy: how to trust estimates of ecosystem loss when there is so much uncertainty? Environmental Conservation, 38, 1-5.
– reference: Tropek, R., Sedláček, O., Beck, J., Keil, P., Musilová, Z., Šímová, I. & Storch, D. (2014) Comment on "high-resolution global maps of 21st-century forest cover change". Science, 344, 981.
– reference: Donato, D.C., Kauffman, J.B., Murdiyarso, D., Kurnianto, S., Stidham, M. & Kanninen, M. (2011) Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4, 293-297.
– reference: Olson, D.M., Dinerstein, E., Wikramanayake, E.D., Burgess, N.D., Powell, G.V.N., Underwood, E.C., D'amico, J.A., Itoua, I., Strand, H.E., Morrison, J.C., Loucks, C.J., Allnutt, T.F., Ricketts, T.H., Kura, Y., Lamoreux, J.F., Wettengel, W.W., Hedao, P. & Kassem, K.R. (2001) Terrestrial ecoregions of the world: a new map of life on earth: a new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. BioScience, 51, 933-938.
– reference: Griscom, B., Shoch, D., Stanley, B., Cortez, R. & Virgilio, N. (2009b) Implications of REDD baseline methods for different country circumstances during an initial performance period. The Nature Conservancy, Arlington, VA.
– reference: DeFries, R.S., Houghton, R.A., Hansen, M.C., Field, C.B., Skole, D. & Townshend, J. (2002) Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s. Proceedings of the National Academy of Sciences USA, 99, 14256-14261.
– reference: Griscom, B., Shoch, D., Stanley, B., Cortez, R. & Virgilio, N. (2009a) Sensitivity of amounts and distribution of tropical forest carbon credits depending on baseline rules. Environmental Science and Policy, 12, 897-911.
– reference: FAO (1995) Forest resources assessment 1990. FAO, Rome, Italy.
– reference: FAO (2010) Global forest resources assessment 2010. FAO, Rome, Italy.
– reference: Giri, C., Ochieng, E., Tieszen, L.L., Zhu, Z., Singh, A., Loveland, T., Masek, J. & Duke, N. (2011) Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography, 20, 154-159.
– reference: Spalding, M., Kainuma, M. & Collins, L. (2010) World atlas of mangroves. Earthscan, London.
– reference: Hansen, M.C., Potapov, P.V., Margono, B., Stehman, S., Turubanova, S.A. & Tyukavina, A. (2014) Response to comment on high-resolution global maps of 21st-century forest cover change. Science, 344, 981
– reference: FAO (2005) Global forest resources assessment 2005. FAO, Rome, Italy, http://www.fao.org/docrep/008/a0400e/a0400e00.HTM.
– reference: Fisher, P. & Spalding, M. (1993) Protected areas with mangrove habitat. World Conservation Centre, Cambridge, UK.
– reference: Angelsen, A. (2008) REDD models and baselines. International Forestry Review, 10, 465-475.
– reference: Siikamäki, J., Sanchirico, J.N. & Jardine, S.L. (2012) Global economic potential for reducing carbon dioxide emissions from mangrove loss. Proceedings of the National Academy of Sciences USA, 109, 14369-14374.
– reference: Asner, G.P., Powell, G.V., Mascaro, J., Knapp, D.E., Clark, J.K., Jacobson, J., Kennedy-Bowdoin, T., Balaji, A., Paez-Acosta, G. & Victoria, E. (2010) High-resolution forest carbon stocks and emissions in the Amazon. Proceedings of the National Academy of Sciences USA, 107, 16738-16742.
– reference: FAO (1997) State of the world's forests, 1997. Words and Publications, Oxford, UK.
– reference: Bouillon, S., Borges, A.V., Castañeda-Moya, E., Diele, K., Dittmar, T., Duke, N.C., Kristensen, E., Lee, S.Y., Marchand, C., Middelburg, J.J., Rivera-Monroy, V.H., Smith, T.J. & Twilley, R.R. (2008) Mangrove production and carbon sinks: a revision of global budget estimates. Global Biogeochemical Cycles, 22, GB2013.
– reference: FAO Fisheries and Aquaculture Department (2004) Mangrove forest management guidelines, FAO Forestry Paper 117. FAO Fisheries and Aquaculture Department, Rome.
– reference: Groombridge, B. (ed.) (1992) Global biodiversity: status of the earth's living resources. Chapman & Hall, London.
– reference: Ruiz-Luna, A., Acosta-Velázquez, J. & Berlanga-Robles, C.A. (2008) On the reliability of the data of the extent of mangroves: a case study in Mexico. Ocean and Coastal Management, 51, 342-351.
– reference: Huettner, M., Leemans, R., Kok, K. & Ebeling, J. (2009) A comparison of baseline methodologies for 'reducing emissions from deforestation and degradation'. Carbon Balance and Management, 4, 4.
– reference: Homer, C.H., Fry, J.A. & Barnes, C.A. (2012) The national land cover database. US Geological Survey Fact Sheet, 3020, 1-4.
– reference: Hamilton, S. (2013) Assessing the role of commercial aquaculture in displacing mangrove forest. Bulletin of Marine Science, 89, 585-601.
– reference: Chong, V.C. (2007) Mangroves-fisheries linkages in the Malaysian perspective. Bulletin of Marine Science, 80, 755-772.
– reference: Saenger, P., Hegerl, E.J. & Davie, J.D.S. (1983) Global status of mangrove ecosystems. Commission on Ecology Papers no. 3. World Conservation Union (IUCN), Gland, Switzerland.
– reference: Asner, G.P., Knapp, D.E., Broadbent, E.N., Oliveira, P.J., Keller, M. & Silva, J.N. (2005) Selective logging in the Brazilian Amazon. Science, 310, 480-482.
– reference: FAO (2000) Global forest resources assessment. FAO, Rome, Italy.
– reference: Hishamunda, N., Bueno, P.B., Ridler, N. & Yap, W.G. (2009) Analysis of aquaculture development in Southeast Asia. FAO, Rome, Italy.
– reference: Lugendo, B.R., Nagelkerken, I., Kruitwagen, G., van der Velde, G. & Mgaya, Y.D. (2007) Relative importance of mangroves as feeding habitats for fishes: a comparison between mangrove habitats with different settings. Bulletin of Marine Science, 80, 497-512.
– reference: DeFries, R.S., Field, C.B., Fung, I., Justice, C.O., Los, S., Matson, P.A., Matthews, E., Mooney, H.A., Potter, C.S. & Prentice, K. (1995) Mapping the land surface for global atmosphere-biosphere models: toward continuous distributions of vegetation's functional properties. Journal of Geophysical Research: Atmospheres (1984-2012), 100, 20867-20882.
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Snippet AIM: To provide high‐resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012 with the goal of...
Aim: To provide high-resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012 with the goal of...
Aim To provide high‐resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012 with the goal of driving...
Aim To provide high-resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012 with the goal of driving...
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SubjectTerms biodiversity
Blue carbon
Cambodia
carbon emissions
carbon sinks
climate change
Deforestation
ecosystem services
fisheries
food security
forest inventory
Forests
GIS
Guatemala
Indonesia
Inventory
livelihood
Malaysia
mangrove deforestation
mangrove forests
monitoring
Myanmar
payments for ecosystem services
remote sensing
spatial data
terrestrial ecosystems
Title Creation of a high spatio‐temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC‐21)
URI https://api.istex.fr/ark:/67375/WNG-DJ37N4KP-L/fulltext.pdf
https://www.jstor.org/stable/43871661
https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fgeb.12449
https://www.proquest.com/docview/1787942713
https://www.proquest.com/docview/1790948085
https://www.proquest.com/docview/1803161684
Volume 25
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