Mr. Iman Santoso Profile

Iman Santoso

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Proceedings Article | 24 December 2019 Paper

Environmentally sensitive area models for supporting West Papua conservation province

Syartinilia Syartinilia, Sry Wahyuni, Audrie Siahainenia, Iman Santoso

Proceedings Volume 11372, 113721D (2019) https://doi.org/10.1117/12.2542766

KEYWORDS: Statistical modeling, Environmental sensing, Ecosystems, Water, Statistical analysis, Carbon, Oceanography, Forestry, Binary data, Modeling

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Four years have passed since the declaration of West Papua as the province of conservation. As a follow up to the declaration, the implementation of development in West Papua should refer to the following principles i.e. environmental protection, preservation of biodiversity, management of utilization of natural resources wisely and sustainably, and recovery of the livelihoods and management of important ecosystem that have been degraded. Identifying Environmental Sensitive Area (ESA) should be considered as one of the first steps to realize spatial planning for a conservation province that must prioritize protection zones. Multi criteria approach combined with participatory planning of multi stakeholders were applied for developing criteria. The criteria were selected based on biophysical aspects derived from regulation (Presidential Decree 32/1990 on Protected Areas Management) and were converted into boolean map. Then, landscape models were obtained from overlaid of those boolean map which identified the degree of sensitivity including highly, moderately, and slightly. All three ESA models produce varying percentages of highly sensitive areas at 82.80%; 59.12%; and 32.21% for ESA model-1, model-2, model-3, respectively. Although varied, but found the same three regencies dominated by highly sensitive areas namely the Teluk Bintuni, Kaimana, and Tambrauw regencies. Highly sensitive area of the ESA model will be proposed as a protection zone as either the first or second priority to contribute for reducing disaster risk. Finally, ESA model can be used for giving reccomendation the existing regional spatial plan (RTRW) and of course taking into account the existing conditions of land cover

Proceedings Article | 24 December 2019 Paper

Ecological restoration planning based on multi-criteria approach in landscape of South Tapanuli Regency, Indonesia

. Syartinilia, Sry Wahyuni, Ahsan Rabbani, Nassat Idris, Iman Santoso

Proceedings Volume 11372, 113721C (2019) https://doi.org/10.1117/12.2541779

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Deforestation is one of the largest issues in Indonesian forests. Between 2001 and 2017, South Tapanuli, one of regency in North Sumatera Province, Indonesia, experienced the largest forest loss in 2011. One of the best way to improve the quality of deforested landscape is ecological restoration. In order to get the comprehensive understanding for landscape restoration planning, identifying the Environmentally Sensitive Area (ESA) should be considered. This study aimed to provide a foundation to support new decision-making tools for policymakers to plan the ecological restoration for South Tapanuli. Multi criteria approach combined with participatory planning of local stakeholders were applied for developing criteria. The criteria were selected based on biophysical characters derived from regulations and were converted into boolean map. Then, ESA model was obtained from overlaid of those boolean map which is identified the level of sensitivity area including level 1 (highest), 2, 3, and 4 (lowest). Sensitivity level 1 were dominated in Muara Batang Toru, Batang Toru, Angkola Selatan, and Angkola Sangkunur consisted of 5,340.78 ha (25,14%); 3,129.07 ha (14,73%); 2,911.29 ha (13,7%); and 2,708.51 ha (12,75%), respectively. More than 23% of oil palm in South Tapanuli were identified as being located in the forest zone. We proposed Muara Batang Toru, Angkola Selatan, Angkola Sangkunur, and Batang Toru as the top priority sub-districts for ecological restoration in South Tapanuli Regency. This study reccommends 50,848.85 ha should be managed immediately and full restoration will be proposed at 17,098.06 ha (33.87%).

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