Damage and recovery assessment of the Philippines' mangroves following Super Typhoon Haiyan

Marine Pollution Bulletin

Volumn 109, Issue 2, 2016, Pages 734-743

  Long, Jordan ^a   Giri, Chandra ^b   Primavera, Jurgenne ^c   Trivedi, Mandar ^d  

^a ASRC InuTeq LLC   (United States)

^b U S Geological Survey Center for EROS   (United States)

^c Zoological Society of London ^*  (Philippines)

^d ZOOLOGICAL SOCIETY OF LONDON   (United Kingdom)

Author keywords

eMODIS; Landsat; Mangrove disturbance; NDVI; Philippines mangrove; Super Typhoon Haiyan

Indexed keywords

DECISION TREES; HURRICANES; REMOTE SENSING; STORMS;

EMODIS; LANDSAT; MANGROVE DISTURBANCE; NDVI; PHILIPPINES; SUPER TYPHOON HAIYAN;

DAMAGE DETECTION;

ENVIRONMENTAL ASSESSMENT; ENVIRONMENTAL DISTURBANCE; IMAGE CLASSIFICATION; LANDSAT THEMATIC MAPPER; MANGROVE; MODIS; NDVI; REMOTE SENSING; STORM; STORM DAMAGE; TYPHOON HAIYAN 2013;

HURRICANE; MANGROVE; NONHUMAN; PHILIPPINES; SATELLITE IMAGERY; ENVIRONMENT; ENVIRONMENTAL PROTECTION; WETLAND;

EASTERN SAMAR; EASTERN VISAYAS; PHILIPPINES; SAMAR; VISAYAS;

RHIZOPHORACEAE;

CONSERVATION OF NATURAL RESOURCES; CYCLONIC STORMS; ENVIRONMENT; PHILIPPINES; WETLANDS;

EID: 84990944493     PISSN: 0025326X     EISSN: 18793363     Source Type: Journal    
DOI: 10.1016/j.marpolbul.2016.06.080     Document Type: Article

References (74)

1. National Coastal Greenbelt Act of 2014, (eds.) Senate Bill 2179, First ed., 2014.
2. Alongi, D.M., Present state and future of the world's mangrove forests. Environ. Conserv. 29 (2002), 331–349.
3. Alongi, D.M., Mangrove forests: resilience, protection from tsunamis, and responses to global climate change. Estuar. Coast. Shelf Sci. 76 (2008), 1–13.
4. Aung, T.T., Mochida, Y., Than, M.M., Prediction of recovery pathways of cyclone-disturbed mangroves in the mega delta of Myanmar. For. Ecol. Manag. 293 (2013), 103–113.
5. Ayyappan, N., Stephen, A., Muthusankar, G., Jeyakumar, S., Presena, J., Spatio-temporal changes in fringe mangrove extent in Pondicherry, India after two phenomenal perturbations: tsunami and cyclone Thane. Trop. Ecol. 57 (2016), 361–368.
6. Bankoff, G., Cultures of Disaster: Society and Natural Hazard in the Philippines. 2012, Routledge.
7. Chen, S.S., Zhao, W., Donelan, M.A., Tolman, H.L., Directional wind–wave coupling in fully coupled atmosphere–wave–ocean models: results from CBLAST-Hurricane. J. Atmos. Sci. 70 (2013), 3198–3215.
8. Chmura, G.L., Anisfeld, S.C., Cahoon, D.R., Lynch, J.C., Global carbon sequestration in tidal, saline wetland soils. Glob. Biogeochem. Cycles, 17, 2003, 1111.
9. Congalton, R.G., A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 37 (1991), 35–46.
10. Cornforth, W., Fatoyinbo, T., Freemantle, T., Pettorelli, N., Advanced Land Observing Satellite Phased Array Type L-Band SAR (ALOS PALSAR) to inform the conservation of mangroves: sundarbans as a case study. Remote Sens. 5 (2013), 224–237.
11. Dahal, D., Liu, S., Oeding, J., The carbon cycle and hurricanes in the United States between 1900 and 2011. Sci. Rep., 4, 2014, 5197.
12. Department of Environment and Natural Resources, DENR sets aside P347M for coastal forest rehabilitation in Eastern Visayas. http://www.denr.gov.ph/news-and-features/latest-news/1604-denr-sets-aside-p347m-for-coastal-forest-rehabilitation-in-eastern-visayas.html, 2013.
13. 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., A world without mangroves?. Science 317 (2007), 41–42.
14. Erftemeijer, P.L., Lewis, R.R., Planting Mangroves on Intertidal Mudflats: Habitat Restoration or Habitat Conversion, Proceedings of the ECOTONE VIII Seminar Enhancing Coastal Ecosystems Restoration for the 21st Century. 1999, Ranong, Thailand, 23–28.
15. Farr, T.G., Rosen, P.A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., The shuttle radar topography mission. Rev. Geophys., 45, 2007.
16. Field, C., Rehabilitation of mangrove ecosystems: an overview. Mar. Pollut. Bull. 37 (1999), 383–392.
17. Food and Agriculture Organization of the United Nations, The World's Mangroves, 1980–2005: A Thematic Study in the Framework of the Global Forest Resources Assessment 2005. 2007, Food and Agriculture Organization of the United Nations, Rome.
18. Garcia, K.B., Malabrigo, P.L. Jr., Gevaña, D.T., Philippines' mangrove ecosystem: status, threats and conservation. Latiff, A., Hakeem, K.R., Ozturk, M., (eds.) Faridah-Hanum, I, 2014, Mangrove Ecosystems of Asia, Springer New York, 81–94.
19. Gilman, E.L., Ellison, J., Duke, N.C., Field, C., Threats to mangroves from climate change and adaptation options: A review. Aquat. Bot. 89 (2008), 237–250.
20. Giri, C., Long, J., Tieszen, L., Mapping and monitoring Louisiana's mangroves in the aftermath of the 2010 Gulf of Mexico oil spill. J. Coast. Res. 27 (2011), 1059–1064.
21. Giri, C., Ochieng, E., Tieszen, L.L., Zhu, Z., Singh, A., Loveland, T., Masek, J., Duke, N., Status and distribution of mangrove forests of the world using earth observation satellite data. Glob. Ecol. Biogeogr. 20 (2011), 154–159.
22. Giri, C., Zhu, Z., Tieszen, L., Singh, A., Gillette, S., Kelmelis, J., Mangrove forest distributions and dynamics (1975–2005) of the tsunami-affected region of Asia†. J. Biogeogr. 35 (2008), 519–528.
23. Herbert, D.A., Fownes, J.H., Vitousek, P.M., Hurricane damage to a Hawaiian forest: nutrient supply rate affects resistance and resilience. Ecology 80 (1999), 908–920.
24. Heumann, B.W., An object-based classification of mangroves using a hybrid decision tree—support vector machine approach. Remote Sens., 3, 2011, 2440.
25. Heumann, B.W., Satellite remote sensing of mangrove forests: Recent advances and future opportunities. Prog. Phys. Geogr. 35 (2011), 87–108.
26. Hurrevac, A storm tracking and decision support tool for government emergency managers, 1.4.2 ed. http://www.hurrevac.com, 2014.
27. Ill, E.W.R., Chappell, D.K., Baldwin, D.G., AVHRR imagery used to identify hurricane damage in a forested wetland of Louisiana. Photogramm. Eng. Remote. Sens. 63 (1997), 293–297.
28. Jenkerson, C., Maiersperger, T., Schmidt, G., eMODIS: A User-friendly Data Source, in: Survey, U.S.G. (Ed.). 2010, Reston, Virginia, 10.
29. Jimenez, J.A., Lugo, A.E., Cintron, G., Tree mortality in mangrove forests. Biotropica 17 (1985), 177–185.
30. Jin, S., Homer, C., Yang, L., Xian, G., Fry, J., Danielson, P., Townsend, P.A., Automated cloud and shadow detection and filling using two-date Landsat imagery in the USA. Int. J. Remote Sens. 34 (2013), 1540–1560.
31. Center, Joint Typhoon Warning, Appendix B: Characteristics of Tropical Cyclones Affecting the Philippine Islands (Shoemaker 1991). 2008.
32. Jones, T.G., Ratsimba, H.R., Ravaoarinorotsihoarana, L., Cripps, G., Bey, A., Ecological variability and carbon stock estimates of mangrove ecosystems in northwestern Madagascar. Forests 5 (2014), 177–205.
33. Kauffman, J.B., Cole, T., Micronesian mangrove forest structure and tree responses to a severe typhoon. Wetlands 30 (2010), 1077–1084.
34. Kerekes, J.P., NDVI sensitivity to atmospheric water vapor as a function of spectral bandwidth, Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International. IEEE, 1994, 1506–1508.
35. Kotchenova, S.Y., Vermote, E.F., Matarrese, R., Klemm, F.J. Jr., Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: Path radiance. Applied optics, Vol. 45, 2006, 6762–6774.
36. Lee, J., Shuai, Y., Zhu, Q., Using images combined with DEM in classifying forest vegetations, Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International. IEEE, 2004, 2362–2364.
37. Lee, S.Y., Primavera, J.H., Dahdouh-Guebas, F., McKee, K., Bosire, J.O., Cannicci, S., Diele, K., Fromard, F., Koedam, N., Marchand, C., Mendelssohn, I., Mukherjee, N., Record, S., Ecological role and services of tropical mangrove ecosystems: a reassessment. Glob. Ecol. Biogeogr. 23 (2014), 726–743.
38. Long, J., Napton, D., Giri, C., Graesser, J., A mapping and monitoring assessment of the Philippines' mangrove forests from 1990 to 2010. J. Coast. Res., 2013, 260–271.
39. Long, J.B., Giri, C., Mapping the Philippines' mangrove forests using Landsat imagery. Sensors 11 (2011), 2972–2981.
40. McLeod, E., Chmura, G.L., Bouillon, S., Salm, R., Björk, M., Duarte, C.M., Lovelock, C.E., Schlesinger, W.H., Silliman, B.R., A blueprint for blue carbon: toward an improved understanding of the role of vegetated coastal habitats in sequestering CO2. Front. Ecol. Environ. 9 (2011), 552–560.
41. Mumby, P.J., Edwards, A.J., Arias-González, J.E., Lindeman, K.C., Blackwell, P.G., Gall, A., Gorczynska, M.I., Harborne, A.R., Pescod, C.L., Renken, H., Mangroves enhance the biomass of coral reef fish communities in the Caribbean. Nature 427 (2004), 533–536.
42. National Disaster Risk Reduction, Management Council, NDRRMC Update SitRep No. 74 Effects of Typhoon “Yolanda” (Haiyan). http://www.ndrrmc.gov.ph/attachments/article/1125/updsitrep74.pdf, 2013.
43. National Geospatial-Intelligence Agency, Web-based Access and Retrieval Portal. https://warp.nga.mil, 2014.
44. Paling, E.I., Kobryn, H.T., Humphreys, G., Assessing the extent of mangrove change caused by Cyclone Vance in the eastern Exmouth Gulf, northwestern Australia. Estuar. Coast. Shelf Sci. 77 (2008), 603–613.
45. Peters, A.J., Walter-Shea, E.A., Ji, L., Vina, A., Hayes, M., Svoboda, M.D., Drought monitoring with NDVI-based standardized vegetation index. Photogramm. Eng. Remote. Sens. 68 (2002), 71–75.
46. Pettorelli, N., The Normalized Difference Vegetation Index. 2013, Oxford University Press.
47. Primavera, J.H., Mangroves and Brackishwater Pond Culture in the Philippines, Asia-Pacific Symposium on Mangrove Ecosystems. 1995, Springer, 303–309.
48. Primavera, J.H., Development and conservation of Philippine mangroves: institutional issues. Ecol. Econ. 35 (2000), 91–106.
49. Primavera, J.H., Mangroves, fishponds, and the quest for sustainability. Science 310 (2005), 57–59.
50. Primavera, J.H., Tsunamis and Mangrove Greenbelts. 2005 The Philippine Star.
51. Primavera, J.H., Cruz, M.D., Montilijiao, C., Consunji, H., Paz, M.D., Rollon, R., Maranan, K., Samson, M.C., Blanco, A., Preliminary Assessment of Post-Haiyan Mangrove Damage and Reocvery in Eastern Samar, Central Philippines. 2016 (in Press).
52. Primavera, J.H., Esteban, J., A review of mangrove rehabilitation in the Philippines: successes, failures and future prospects. Wetl. Ecol. Manag. 16 (2008), 345–358.
53. Primavera, J.H., Savaris, J., Bajoyo, B., Coching, J., Curnick, D., Golbeque, R., Henderin, A.G.J., Joven, R., Loma, R., Koldewey, H., Manual on Community-Based Mangrove Rehabilitation, Mangrove Manual Series No. 1. 2012, Zoological Society of London, United Kingdom, 240.
54. Richards, D.R., Friess, D.A., Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012. Proc. Natl. Acad. Sci. 113 (2016), 344–349.
55. Rulequest Research, See5/c5.0. http://www.rulequest.com/see5-info.html, 2011.
56. Satyanarayana, B., Mohamad, K.A., Idris, I.F., Husain, M.-L., Dahdouh-Guebas, F., Assessment of mangrove vegetation based on remote sensing and ground-truth measurements at Tumpat, Kelantan Delta, East Coast of Peninsular Malaysia. Int. J. Remote Sens. 32 (2011), 1635–1650.
57. Siikamäki, J., Sanchirico, J.N., Jardine, S.L., Global economic potential for reducing carbon dioxide emissions from mangrove loss. Proc. Natl. Acad. Sci. 109 (2012), 14369–14374.
58. Smith, T.J., Anderson, G.H., Balentine, K., Tiling, G., Ward, G.A., Whelan, K.R.T., Cumulative impacts of hurricanes on Florida mangrove ecosystems: sediment deposition, storm surges and vegetation. Wetlands 29 (2009), 24–34.
59. Tucker, C.J., Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 8 (1979), 127–150.
60. Twilley, R.R., Chen, R.H., Hargis, T., Carbon sinks in mangroves and their implications to carbon budget of tropical coastal ecosystems. Water Air Soil Pollut. 64 (1992), 265–288.
61. U.S. Geological Survey, Remote Sensing Phenology. http://phenology.cr.usgs.gov/ndvi_foundation.php, 2015.
62. U.S. Geological Survey, Earth Explorer. http://earthexplorer.usgs.gov, 2016.
63. U.S. Geological Survey, Global Visualization Viewer (GloVis). http://glovis.usgs.gov, 2016.
64. U.S. Geological Survey, Hazards Data Distribution Systems Explorer. http://hddsexplorer.usgs.gov, 2016.
65. U.S. Geological Survey, LSDS Science Research and Development. http://espa.cr.usgs.gov, 2016.
66. United States Agency for International Development, Philippines - Typoon Yolanda/Haiyan, FACT SHEET #22. FISCAL YEAR (FY), Vol. 2014, 2014, 7.
67. UNU-EHS, World Risk Report. Lars Jeschonnek, M., (eds.) United Nations University, Institute for Environment and Human Security, 2014.
68. Van Lavieren, H., Spalding, M., Alongi, D.M., Kainuma, M., Clüsener-Godt, M., Adeel, Z., Securing the future of mangroves. 2012.
69. Walters, B.B., Local mangrove planting in the Philippines: are fisherfolk and fishpond owners effective restorationists?. Restor. Ecol. 8 (2000), 237–246.
70. Walters, B.B., Patterns of local wood use and cutting of Philippine mangrove forests. Econ. Bot. 59 (2005), 66–76.
71. Wang, F., D'Sa, E.J., Potential of MODIS EVI in identifying hurricane disturbance to coastal vegetation in the northern Gulf of Mexico. Remote Sens. 2 (2009), 1–18.
72. Wang, Y., Detecting Vegetation Recovery Patterns After Hurricanes in South Florida Using NDVI Time Series. 2012.
73. Zhang, X.-H., Identification of Mangrove Using Decision Tree Method, Information and Computing (ICIC). 2011 Fourth International Conference on. IEEE, 2011, 130–132.
74. Zhu, Z., Woodcock, C.E., Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sens. Environ. 118 (2012), 83–94.