Classification of Degraded Peat Swamp Forest for Restoration Planning at Landscape Level Using Remote Sensing Technique
2
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Malaysia possesses about 1.56 million ha of Peat Swamp Forest (PSF). The PSF safeguard enormous biological diversity, while providing crucial benefits for the sustainable development of human communities. Numbers of threatened plant species are associated with the PSF, including the commercially important Gonystylus bancanus timber. To prevent significant losses of biodiversity, it is important to manage the PSF for both biological conservation and sustainable use. Equally important is to restore all degraded PSF in an attempt to ensure the PSF ecosystem is suitable for the vegetation to grow and rehabilitate back to the normal condition. Prior to plan any forest restoration program, there is a need to properly map the degraded PSF in order to estimate the forest conditions and determine the vegetations status. Most of the time this need to be done at a landscape level and requires a technology that can provide accurate, timely and reliable information for the planner to make decision. This paper describes a study using geospatial technology in combination with ground survey to classify the degraded PSF in South East Pahang Peat Swamp Forest (SEPPSF), Malaysia, into different degree of vegetation classes. With map accuracy of about 83%, the technique proved to be useful in delineating the different degree of PSF degradation from which the information can be used to properly plan forest restoration program in the area. The final output which is in the form of map can be used in developing a Restoration Master Plan for the degraded PSF areas.
Abstract
Malaysia possesses about 1.56 million ha of Peat Swamp Forest (PSF). The PSF safeguard enormous biological diversity, while providing crucial benefits for the sustainable development of human communities. Numbers of threatened plant species are associated with the PSF, including the commercially important Gonystylus bancanus timber. To prevent significant losses of biodiversity, it is important to manage the PSF for both biological conservation and sustainable use. Equally important is to restore all degraded PSF in an attempt to ensure the PSF ecosystem is suitable for the vegetation to grow and rehabilitate back to the normal condition. Prior to plan any forest restoration program, there is a need to properly map the degraded PSF in order to estimate the forest conditions and determine the vegetations status. Most of the time this need to be done at a landscape level and requires a technology that can provide accurate, timely and reliable information for the planner to make decision. This paper describes a study using geospatial technology in combination with ground survey to classify the degraded PSF in South East Pahang Peat Swamp Forest (SEPPSF), Malaysia, into different degree of vegetation classes. With map accuracy of about 83%, the technique proved to be useful in delineating the different degree of PSF degradation from which the information can be used to properly plan forest restoration program in the area. The final output which is in the form of map can be used in developing a Restoration Master Plan for the degraded PSF areas.
참고문헌 (15)
- Ismail P, "Rehabilitation trials in peat swamp forests of Peninsular Malaysia", Malaysian Forester, 69, pp.1~14 (2006)
- Restoring forest landscapes. An introduction to the art and science of forest landscape restoration, "ITTO", International Tropical Timber Organization, ~, pp.ITTO Technical Series No 23 (2005)
- IUCN, "Guidelines for the restoration, rehabilitation and management of degraded and secondary tropical forests", ~ (2002)
- Khali Aziz H, "Detection of timber extraction roads in peat swamp forest using Landsat TM imagery", Paper presented during the Asian Conferecne on Remote Sensing (1995)
- Khali Aziz H, "Generation of Spatial Distribution Maps of Gonystylus bancanus (ramin) using Hyperspectral Technology", Proceedings of the Regional Workshop on the Sharing of Findings from the Activities Implementation in Indonesia and Malaysia under the ITTO-CITES Project on Ensuring International Trade in CITES-Listed Timber Species are Consistent with their Sustainable Management and Conservation, pp.27~33 (2011), Forest Research Institute Malaysia and Ministry of Natural Resources and Environment Malaysia
- Langner A, "Land cover change 2002-2005 in Borneo and the role of fire derived from MODIS imagery", Global Change Biology, 13, pp.2329~2340 (2007)
- Malaysian Meteorological Service, "Monthly abstract of meteorological observations", Petaling Jaya, ~ (2001)
- Nizam MS, "Diversity of tree communities and its relationships with soil properties in a peat swamp forest in Pahang, Peninsular Malaysia. Ecology", Environment and Conservation, 15, pp.307~318 (2009)
- Phua MH, "Detection of burned peat swamp forest in a heterogeneous tropical landscape : A case study of the Klias Peninsula, Sabah, Malaysia", Landscape and Urban Planning, 82, pp.103~116 (2007)
- Razali SM, "A method of mapping forest fuel ypes in peat swamp forest", African Journal of Agricultural Research, 7, pp.901~1909 (2012)
- Seca Gandaseca, "Vegetation Assessment of Peat Swamp Forest Using Remote Sensing", American Journal of Agricultural and Biological Sciences, 4, pp.167~172 (2009)
- South East Pahang Peat Swamp Forest Multi Disciplinary Assessment (MDA). Volume II, "UNDP", ~ (2003)
- Integrated Management Plan of the South- East Pahang Peat Swamp Forest, "UNDP", FRIM-UNDP, 2007, PSF Technical Series No. 9
- Wijaya A, "Retrieval of Forest Attributes in Complex Successional Forest of Central Indonesia : Modeling and Estimation of Bitemporal Data", Forest Ecology and Management, 259, pp.2315~2326 (2010)
- Yoshino K, "Land cover pattern analysis of tropical peat swamp lands in Southeast Asia", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, 38(8), pp.941~946 (2010)