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 in | Global ecology and biogeography Vol. 25; no. 6; pp. 729 - 738 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford
John Wiley & Sons, Ltd
01.06.2016
Blackwell Publishing Ltd John Wiley & Sons Ltd Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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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. |
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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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References | FAO (2000) Global forest resources assessment. FAO, Rome, Italy. 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. 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. FAO (2010) Global forest resources assessment 2010. FAO, Rome, Italy. 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. Webb, E.L., Jachowski, N.R.A., Phelps, J., Friess, D.A., Than, M.M. & Ziegler, A.D. (2014) Deforestation in the Ayeyarwady Delta and the conservation implications of an internationally-engaged Myanmar. Global Environmental Change, 24, 321-333. 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. 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. Hishamunda, N., Bueno, P.B., Ridler, N. & Yap, W.G. (2009) Analysis of aquaculture development in Southeast Asia. FAO, Rome, Italy. Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice, C.O. & Townshend, J.R.G. (2013) High-resolution global maps of 21st-century forest cover change. Science, 342, 850-853. 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. Barbier, E.B. & Cox, M. (2004) An economic analysis of shrimp farm expansion and mangrove conversion in Thailand. Land Economics, 80, 389-407. Duke, N.C., Meynecke, J.O., Dittmann, S., Ellison, A.M., Anger, K., Berger, U., Cannicci, S., Diele, K., Ewel, K.C., Field, C.D., Koedam, N., Lee, S.Y., Marchand, C., Nordhaus, I. & Dahdouh-Guebas, F. (2007) A world without mangroves? Science Magazine, 317, 41-42. FAO (2005) Global forest resources assessment 2005. FAO, Rome, Italy, http://www.fao.org/docrep/008/a0400e/a0400e00.HTM. IUCN & UNEP (2013) The world database on protected areas - WDPA. UNEP, Cambridge, UK. 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. 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. Hamilton, S. (2013) Assessing the role of commercial aquaculture in displacing mangrove forest. Bulletin of Marine Science, 89, 585-601. FAO Fisheries and Aquaculture Department (2004) Mangrove forest management guidelines, FAO Forestry Paper 117. FAO Fisheries and Aquaculture Department, Rome. 2015; 5 2012 2010; 107 2005; 310 2010 2013; 89 2002; 99 2009 1997 2013; 342 2007 2006 1995 2014; 24 2008; 10 2005 2004 1993 2003 1992 2009a; 12 2011; 4 2011; 38 2008; 51 2014; 23 2001; 20 2012; 109 2007; 134 2007; 317 2000 2009b 2011; 20 2007; 80 1983 2008; 22 1982 1995; 100 2009; 4 2013 2004; 80 2012; 3020 2001; 51 2014; 344 e_1_2_7_5_1 FAO Fisheries and Aquaculture Department (e_1_2_7_23_1) 2004 e_1_2_7_3_1 Lugendo B.R. (e_1_2_7_40_1) 2007; 80 e_1_2_7_9_1 e_1_2_7_41_1 Barbier E.B. (e_1_2_7_7_1) 2006 Homer C.H. (e_1_2_7_35_1) 2012; 3020 e_1_2_7_13_1 e_1_2_7_43_1 e_1_2_7_45_1 e_1_2_7_47_1 e_1_2_7_26_1 e_1_2_7_49_1 e_1_2_7_28_1 FAO (e_1_2_7_22_1) 2010 Fisher P. (e_1_2_7_24_1) 1993 FAO (e_1_2_7_17_1) 1997 Griscom B. (e_1_2_7_29_1) 2009 e_1_2_7_50_1 e_1_2_7_25_1 e_1_2_7_31_1 e_1_2_7_33_1 FAO (e_1_2_7_19_1) 2003 e_1_2_7_37_1 Duke N.C. (e_1_2_7_15_1) 2007; 317 FAO (e_1_2_7_20_1) 2005 e_1_2_7_6_1 e_1_2_7_4_1 e_1_2_7_8_1 e_1_2_7_2_1 e_1_2_7_14_1 e_1_2_7_42_1 e_1_2_7_12_1 e_1_2_7_10_1 e_1_2_7_46_1 e_1_2_7_48_1 e_1_2_7_27_1 Chong V.C. (e_1_2_7_11_1) 2007; 80 Lanly J.P. (e_1_2_7_39_1) 1982 Hishamunda N. (e_1_2_7_34_1) 2009 IUCN & UNEP (e_1_2_7_38_1) 2013 FAO (e_1_2_7_16_1) 1995 e_1_2_7_30_1 Saenger P. (e_1_2_7_44_1) 1983 e_1_2_7_32_1 e_1_2_7_36_1 FAO (e_1_2_7_18_1) 2000 FAO (e_1_2_7_21_1) 2007 |
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. – reference: 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. – reference: Bennett, B. (2001) What is a forest? On the vagueness of certain geographic concepts. 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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) |
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