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Introduction of Biological Parameters for Environmentally Sensitive Area (ESA) Classification for Permanent Forest Reserve: A Case Study Based on Small Vertebrates’ Assessments in Selangor
Environmentally sensitive areas (ESAs) is vital for seeking the balance between biodiversity conservation and land use planning based on the concept of sustainable development. However, the classification of ESA in Malaysia grounded on physical attributes and the biological elements neglected. There...
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Published in: | IOP conference series. Earth and environmental science 2021-04, Vol.736 (1), p.12066 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Environmentally sensitive areas (ESAs) is vital for seeking the balance between biodiversity conservation and land use planning based on the concept of sustainable development. However, the classification of ESA in Malaysia grounded on physical attributes and the biological elements neglected. Therefore, the aim of the study is to propose a new approach of ESA for permanent forest reserve classification by integrating biological parameters based on small vertebrates with the existing physical attribute of ESA classification. Three forest reserves in northern Selangor selected and four taxa of small vertebrate e.g. small mammals, birds, amphibians and reptiles assessed to develop the biological parameters. Forty potential biological parameters were listed which were thoroughly screened and examined before final ten parameters were finalised. These parameters were composed of four categories including species diversity, trophic composition, origin of species and conservation status. An initial threshold values for each biological parameter were determined. The finding indicates the parameters are promising and the research need to further fine-tuned by conducting verification tests in various landscapes or regions before being integrated with physical attributes to enhance the existing classification of ESA in Malaysia. |
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ISSN: | 1755-1307 1755-1315 |
DOI: | 10.1088/1755-1315/736/1/012066 |