Mangrove biomass estimation in Southwest Thailand using machine learning

Applied Geography

Volumn 45, Issue , 2013, Pages 311-321

  Jachowski, Nicholas R A ^a   Quak, Michelle S Y ^a   Friess, Daniel A ^a   Duangnamon, Decha ^b   Webb, Edward L ^a   Ziegler, Alan D ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b KASETSART UNIVERSITY   (Thailand)

Author keywords

Biomass; Machine learning; Mangroves; Remote sensing

Indexed keywords

ABOVEGROUND BIOMASS; ACCURACY ASSESSMENT; ASTER; BELOWGROUND BIOMASS; BIOMASS; CARBON SEQUESTRATION; FOREST ECOSYSTEM; MANGROVE; REMOTE SENSING; SATELLITE IMAGERY; SPECIES DIVERSITY;

ANDAMAN SEA; INDIAN OCEAN; THAILAND;

EID: 84886287521     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2013.09.024     Document Type: Article

References (74)

1. Adame M.F., Kauffman J.B., Medina I., Gamboa J.N., Torres O., Caamal J.P., et al. Carbon stocks of tropical coastal wetlands within the karstic landscape of the Mexican Caribbean. PLoS One 2013, 8:e56569.
2. Aksornkoae S. Ecology and management of mangroves 1993, The IUCN Wetland Programme, Bangkok, Thailand.
3. Alongi D.M. Present state and future of the world's mangrove forests. Environmental Conservation 2002, 29(3):331-349.
4. Alongi D.M. Carbon payments for mangrove conservation: ecosystem constraints and uncertainties of sequestration potential. Environmental Science and Policy 2011, 14(4):462-470.
5. Alongi D.M., Dixon P. Mangrove primary production and above and below-ground biomass in Sawi Bay, southern Thailand. Phuket Marine Biological Center Special Publication 2000, 22:31-38.
6. Autodesk, Inc. Autodesk 123D 2013, Retrieved 01.05.13, from. http://www.123dapp.com.
7. Barbier E.B. Natural barrier to natural disasters: replanting mangroves after the tsunami. Frontiers in Ecology and the Environment 2006, 4:124-131.
8. Barbier E.B., Cox M. Introduction: global mangrove loss and economic development. Shrimp farming and mangrove loss in Thailand 2004, Edward Elgar Publishing Ltd, UK. E.B. Barbier, S. Sathirathai (Eds.).
9. Breiman L. Statistical modeling: the two cultures. Statistical Science 2001, 16:199-231.
10. Chansang H. Structure of a mangrove forest at Ko Yao Yai, southern Thailand. Proceedings of the Asian symposium on mangrove environment: Research and management 1984, 86-105. Kuala Lumpur, Malaysia. E. Soepadmo, A.N. Rao, D.J. MacIntosh (Eds.).
11. Chen Y., Li X., Liu X., Ai B. Analyzing land-cover change and corresponding impacts on carbon budget in a fast developing sub-tropical region by integrating MODIS and Landsat TM/ETM+ images. Applied Geography 2013, 45:10-21.
12. Christensen B. Biomass and productivity of Rhizophora apiculata Bl in a mangrove southern Thailand. Aquatic Botany 1978, 4:43-52.
13. Cintron G.M., Schaeffer-Noevelli Y. Methods for studying mangrove structure. Monographs on oceanographic methodology 1984, Vol. 8:91-113. S.C. Snedaker, J.G. Snedaker (Eds.).
14. Clough B.F. Primary productivity and growth of mangrove forests. Tropical mangrove ecosystems, coastal and estuarine studies, 41 1992, American Geophysical Union, Washington, D.C. D.M. Alongi, A.I. Robertson (Eds.).
15. Clough B.F., Scott K. Allometric relationships for estimating above-ground biomass in six mangrove species. Forest Ecology and Management 1989, 27:117-127.
16. CORIN (Coastal Resources Institute) The effect of aquaculture on agricultural land and coastal environment 1995, Prince of Songkhla University, Songkhla, Thailand.
17. Curtis J.T., McIntosh R.P. The interrelations of certain analytic and synthetic phytosociological characters. Ecology 1950, 31(3):434-455.
18. Donato D.C., Kauffman J.B., Mackenzie R.A., Ainsworth A., Pfleeger A.Z. Whole-island carbon stocks in the tropical Pacific: implications for mangrove conservation and upland restoration. Journal of Environmental Management 2012, 97:89-96.
19. Donato D.C., Kauffman J.B., Murdiyarso D., Kurnianto S., Stidham M., Kanninen M. Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience 2011, 4:293-297.
20. Doydee P., Buot I.E. Mangrove habitat restoration and management in Ranong Province, Thailand. Proceeding of coastal zone Asia-Pacific conference and world small-scale fisheries congress 2010, Bangkok, Thailand.
21. Duke N.C., Meynecke J.-O., Dittmann S., Ellison A.M., Anger K., Berger U., et al. Aworld without mangroves?. Science 2007, 317:41-42.
22. EEPSEA (Economy and Environment Program for Southeast Asia) Economic valuation of mangroves and the roles of local communities in the conservation of natural resources: Case study of Surat Thani, South of Thailand 1998, Singapore: S. Sathirathai.
23. Efron B., Gong G. Aleisurely look at the bootstrap, the jackknife, and cross-validation. The American Statistician 1983, 37:36-48.
24. Fatoyinbo T.E., Simard M., Washington-Allen R.A., Shugart H.H. Landscape-scale extent, height, biomass, and carbon estimation of Mozambique's mangrove forests with Landsat ETM+ and Shuttle Radar Topography Mission elevation data. Journal of Geophysical Research 2008, 113:G02S06.
25. Friess D.A., Krauss K.W., Horstman E.M., Balke T., Bouma T.J., Galli D., et al. Are all intertidal wetlands naturally created equal? Bottlenecks, thresholds and knowledge gaps to mangrove and saltmarsh ecosystems. Biological Reviews 2012, 87:346-366.
26. Fujioka Y., Tabuchi R., Hirata Y., Yondeda R., Patanaponpaiboon P., Poungparn S., et al. Disturbance and recovery of mangrove forests and macrobenthic communities in Andaman Sea, Thailand following the Indian Ocean Tsunami. Proceedings of the 11th international coral reef symposium 2008, Ft. Lauderdale, Florida.
27. Giri C., Zhu Z., Tieszen L.L., Singh A., Gillette S., Kelmelis J.A. Mangrove forest distributions and dynamics (1975-2005) of the tsunami-affected region of Asia. Journal of Biogeography 2008, 35:519-528.
28. GRASS Development Team Geographic resources analysis support system (GRASS) software 2012, Version 6.4.2, Open Source Geospatial Foundation, Retrieved 19.12.12 from. http://grass.osgeo.org.
29. Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I.H. The WEKA data mining software: an update. SIGKDD Explorations 2009, 11(1):10-18.
30. Heumann B.W. Satellite remote sensing of mangrove forests: recent advances and future opportunities. Progress in Physical Geography 2011, 35:87-108.
31. Huang X., Zhang L.P., Wang L. Evaluation of morphological texture features for mangrove forest mapping and species discrimination using multispectral IKONOS imagery. IEEE Letters, Geoscience and Remote Sensing Letters 2009, 6:393-397.
32. Jordan C.F. Derivation of leaf area index from quality measurements of light on the forest floor. Ecology 1969, 50:663-666.
33. Kauffman J.B., Heider C., Cole T.G., Dwire K.A., Donato D.C. Ecosystem carbon stocks of Micronesian mangrove forests. Wetlands 2011, 31:343-352.
34. Ketterings Q.M., Coe R., Noordwijk M., Ambagau Y., Palm C.A. Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. Forest Ecology and Management 2001, 146:199-209.
35. Klein I., Gessner U., Kuenzer C. Regional land cover mapping and change detection in Central Asia using MODIS time-series. Applied Geography 2012, 35:219-234.
36. Komiyama A., Havanond S., Srisawatt W., Mochida Y., Fujimoto K., Ohnishi T., et al. Top/root biomass ratio of a secondary mangrove (Ceriops tagal (Perr.) C. B. Rob.) forest. Forest Ecology and Management 2000, 139:127-134.
37. Komiyama A., Ogino K., Aksornkoae S., Sabhasri S. Root biomass of a mangrove forest in southern Thailand. 1. Estimation by the trench method and the zonal structure of root biomass. Journal of Tropical Ecology 1987, 3:97-108.
38. Komiyama A., Ong J.E., Poungparn S. Allometry, biomass, and productivity of mangrove forests: a review. Aquatic Botany 2008, 89:128-137.
39. Komiyama A., Poungparn S., Kato S. Common allometric equations for estimating the tree weight of mangroves. Journal of Tropical Ecology 2005, 21:471-477.
40. Kongsangcha J., Patanaponpiboon P., Komiyama A., Higo M., Havanond S., Havanond S., et al. Rehabilitation programs of mangrove forest in Thailand 1993, Pro Natura Fund, The Nature Conservation Society of Japan, Retrieved 12.10.12, from. http://www.nacsj.or.jp/pn/houkoku/h01-08/h04-no17.html.
41. Lacambra C., Friess D., Spencer T., Moller I. Bioshields: mangrove ecosystems as resilient natural coastal defences. The role of ecosystems in disaster risk reduction: From science to practice 2013, UNU Press, Tokyo. F. Renaud, K. Sudmeier-Rieux, M. Estrella (Eds.).
42. Macintosh D.J., Aston E.C., Havanon S. Mangrove rehabilitation and intertidal biodiversity: a study in the Ranong mangrove ecosystem, Thailand. Estuarine, Coastal and Shelf Science 2002, 55:331-345.
43. Macintosh D.J., Ashton E.C., Tansakul V. Utilisation and knowledge of biodiversity in the Ranong Biosphere Reserve, Thailand 2002, 30. ITCZM monograph no. 7.
44. Mitra A., Sengupta K., Banerjee K. Standing biomass and carbon storage of above-ground structures in dominant mangrove trees in the Sundarbans. Forest Ecology and Management 2011, 261:1325-1335.
45. Muda A., Mustafa N.M.S.N. Aworking plan for the Matang mangrove forest reserve, Perak 2003, (Fifth revision), State Forestry Department of Perak Darul Ridzuan, Malaysia.
46. My3DScanner, My3DScanner: Replicate the world in 3D. Retrieved 01.05.13, from http://www.my3dscanner.com.
47. NASA Land Processes Distributed Active Archive Center (LP DAAC) ASTER GDEM V2 2012, USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota.
48. Ni W., Guo Z., Sun G., Chi H. Investigation of forest height retrieval using SRTM-DEM and ASTER-GDEM. Geoscience and remote sensing symposium (IGARSS), 2010 IEEE international 2010, 2111-2114.
49. Paruelo J.M., Jobbagy E.G., Sala O.E., Lauenroth W.K., Burk I..c Functional and structural convergence of temperate grassland and shrubland ecosystems. Ecological Applications 1998, 8:194-206.
50. Pedregosa F., Varoquaux G., Gramfort A., Michel V., Thirion B., Grisel O., et al. Scikit-learn: machine learning in Python. Journal of Machine Learning Research 2011, 12:2825-2830.
51. Phongsuksawat P. Determination of tree biomass in the mangrove habitat study area, Changwat Phangna 2002, (Master's thesis), Kasetsart University, Thailand.
52. Pineiro G., Perelman S., Guerschman J.P., Paruelo J.M. How to evaluate models: observed vs. predicted or predicted vs. observed?. Ecological Modelling 2008, 216:316-322.
53. Poungparn S. Common allometric relationships for estimating the biomass of mangrove forests 2003, (Doctoral dissertation), Gifu University, Japan.
54. Putz F.E., Chan H.T. Tree growth, dynamics, and productivity in a mature mangrove forest in Malaysia. Forest Ecology and Management 1986, 17:211-230.
55. R Core Team R: A language and environment for statistical computing 2013, R Foundation for Statistical Computing, Vienna, Austria, Retrieved 01.05.13, from. http://www.r-project.org.
56. Rouse J.W., Haas R.H., Schell J.A., Deering D.W. Monitoring vegetation systems in the great plains with ERTS. Third ERTS symposium, NASA SP-351 I 1973, 309-317.
57. Saenger P. Mangrove ecology, silviculture and conservation 2002, Kluwer Academic Press, The Netherlands.
58. Schlerf M., Atzberger C., Hill J. Remote sensing of forest biophysical variables using HyMap imaging spectrometer data. Remote Sensing of Environment 2005, 95:177-194.
59. Shevade S.K., Keerthi S.S., Bhattacharyya C., Murthy K.R.K. Improvements to the SMO algorithm for SVM regression. IEEE Transactions on Neural Networks 1999, 11:1188-1193.
60. Simard M., Fatoyinbo T.E., Pinto N. Mangrove canopy 3D structure and ecosystem productivity using active remote sensing. Remote sensing of coastal environments 2009, Taylor and Francis Group LLC, London. Y. Wang (Ed.).
61. Simard M., Zhang K., Rivera-Monroy V.H., Ross M.S., Ruiz P.L., Castaneda-Moya E., et al. Mapping height and biomass of mangrove forests in Everglades National Park with SRTM elevation data. Photogrammetric Engineering & Remote Sensing 2006, 72(3):299-311.
62. Smola A.J., Schoelkopf B. Atutorial on support vector regression. Statistics and Computing 2004, 14:199-222.
63. Soares M.L.G., Schaeffer-Novelli Y. Above-ground biomass of mangrove species. Analysis of models. Estuarine, Coastal and Shelf Science 2005, 65:1-18.
64. Spalding M., Blasco F., Field C. World mangrove atlas 1997, International Society for Mangrove Ecosystems, World Conservation Monitoring Centre, National Council for Scientific Research, Paris.
65. Sudtongkong C., Webb E.L. Outcomes of state- vs. community-based mangrove management in southern Thailand. Ecology and Society 2008, 13(2):27. Retrieved 01.05.13, from. http://www.ecologyandsociety.org/vol13/iss2/art27/.
66. Tamai S., Iampa P. Establishment and growth of mangrove seedlings in mangrove forest in southern Thailand. Ecological Research 1988, 3:227-238.
67. Tamai S., Nakasuga T., Tabuchi R., Ogina K. Standing biomass of mangrove forest in southern Thailand. Journal of the Japanese Forestry Society 1986, 68(9):384-388.
68. Twilley R.R., Chen R.H., Hargis T. Carbon sinks in mangroves and their implications to carbon budget of tropical coastal ecosystems. Water, Air, and Soil Pollution 1992, 64:265-288.
69. Valiela I., Bowen J.L., York J.K. Mangrove Forests: one of the world's threatened major tropical environments. BioScience 2001, 51(10):807-815.
70. Wang L., Silvan-Cardenas J.L., Sousa W.P. Neural network classification of mangrove species form multi-seasonal IKONOS imagery. Photogrammetric Engineering and Remote Sensing 2008, 74:921-927.
71. Wicaksono P., Danoedoro P., Hartono H., Nehren U., Ribbe L. Preliminary work of mangrove ecosystem carbon stock mapping in small island using remote sensing: above and below ground carbon stock mapping on medium resolution satellite image. Proceedings of SPIE 2011, Vol. 8174.
72. World Bank Mitigating climate change through restoration and management of coastal wetlands and near-shore marine ecosystems: Challenges and opportunities 2011, Environment Department paper 12. Washington, DC: Crooks, S., Herr, D., Tamelander, J., Laffolet, D., & Vandever, J.
73. Yuen J.Q., Ziegler A.D., Webb E.L., Ryan C. Uncertainty in below-ground carbon biomass for major land covers in Southeast Asia. Forest Ecology and Management 2013.
74. Ziegler A.D., Phelps J., Yuen J.Q., Lawrence D., Webb E.L., Bruun T.B., et al. Carbon outcomes of major land-cover transitions in SE Asia: great uncertainties and REDD+ policy implications. Global Change Biology 2012, 18:3087-3099.