Publikasi

@article{Widyastuti2023,

title = {The Javan Gibbon (Hylobates moloch) Habitat Changes and Fragmentation in the Dieng Mountains, Indonesia},

author = {Salmah Widyastuti and Dyah Perwitasari-Farajallah and Lilik Budi Prasetyo and Entang Iskandar},

doi = {10.7226/jtfm.29.2.150},

issn = {20892063},

year  = {2023},

date = {2023-01-01},

journal = {Jurnal Manajemen Hutan Tropika},

volume = {29},

number = {2},

pages = {150–160},

abstract = {The endangered javan gibbon (Hylobates moloch) has been threaten by massive habitat loss and fragmentation in Java. The survival of the second largest population which inhabited unprotected Dieng mountains faced greater risk to habitat conversion and fragmentation. The landscape-level habitat monitoring using spatiotemporal quantification is crucial as a baseline data for javan gibbon conservation. Here, the land-use and land-cover (LULC) change of the Javan gibbon habitat during 1994–2009–2021 and its fragmentation in the Dieng mountains were quantified. This study revealed there were no significant decline in the total of forest. However, its quality was degraded in the interior of forest block. The forest has more fragmented from large patches into smaller patches and increased forest edge. The higher fragmentation happened in the areas that traversed by road. Six suitable forest blocks were identified with varying level of connectivity. Protection and restoration both in the forest and in the interior forest is immediate need, especially in the main forest block. The extra effort is also crucial in the connected forest but traversed by road. The blocks which closely isolated by road could be potentially reconnected by artificial canopy bridge, while the other distantly isolated block might need habitat restoration for corridor.},

keywords = {connectivity, habitat monitoring, landscape metrics, LULC change, primate conservation},

pubstate = {published},

tppubtype = {article}

}

@article{Condro2021b,

title = {Predicting hotspots and prioritizing protected areas for endangered primate species in indonesia under changing climate},

author = {Aryo Adhi Condro and Lilik Budi Prasetyo and Siti Badriyah Rushayati and I. Putu Santikayasa and Entang Iskandar},

doi = {10.3390/biology10020154},

issn = {20797737},

year  = {2021},

date = {2021-01-01},

journal = {Biology},

volume = {10},

number = {2},

pages = {1–23},

abstract = {Indonesia has a large number of primate diversity where a majority of the species are threatened. In addition, climate change is conservation issues that biodiversity may likely face in the future, particularly among primates. Thus, species-distribution modeling was useful for conservation planning. Herein, we present protected areas (PA) recommendations with high nature-conservation importance based on species-richness changes. We performed maximum entropy (Maxent) to retrieve species distribution of 51 primate species across Indonesia. We calculated species-richness change and range shifts to determine the priority of PA for primates under mitigation and worst-case scenarios by 2050. The results suggest that the models have an excellent performance based on seven different metrics. Current primate distributions occupied 65% of terrestrial landscape. However, our results indicate that 30 species of primates in Indonesia are likely to be extinct by 2050. Future primate species richness would be also expected to decline with the alpha diversity ranging from one to four species per 1 km2. Based on our results, we recommend 54 and 27 PA in Indonesia to be considered as the habitat-restoration priority and refugia, respectively. We conclude that species-distribution modeling approach along with the categorical species richness is effectively applicable for assessing primate biodiversity patterns.},

keywords = {Alpha diversity, climate change, Indonesia, MaxEnt, primate conservation, Protected areas, Species Distribution Model, species richness},

pubstate = {published},

tppubtype = {article}

}

@article{Atmoko2020,

title = {Habitat suitability of Proboscis monkey (Nasalis larvatus) in Berau Delta, East Kalimantan, Indonesia},

author = {Tri Atmoko and Ani Mardiastuti and M Bismark and Lilik B Prasetyo and Entang Iskandar},

url = {https://smujo.id/biodiv/article/view/6873},

doi = {10.13057/biodiv/d211121},

year  = {2020},

date = {2020-10-14},

journal = {Biodiversitas},

volume = {21},

number = {11},

pages = {5155-5163},

abstract = {The proboscis monkey (Nasalis larvatus) is an endemic species to Borneos’ island and is largely confined to mangrove, riverine, and swamp forest. Most of their habitat is outside the conservation due to degraded and habitat converted. Habitat loss is a significant threat to a decreased in the monkey's population. Berau Delta is an unprotected habitat of proboscis monkey, lacking in attention and experiencing a lot of disturbances. This study was conducted on April – August 2019; with aims of the study is to determine Species Distribution Modeling (SDM) for identifying proboscis monkey habitat suitability in Delta Berau, East Kalimantan. The MaxEnt algorithm was used to produce a habitat suitability map based on this species’ occurrence records and environmental predictors. We built the models using 208 points of proboscis monkey presence and 12 environment variables within the study area. Model performance was assessed by examining the area under the curve. The variables most influencing the habitat suitability model were the riverine habitat (60.9%), distance from the pond (16.0%), and distance from the coastline (5.2%). The proboscis monkey suitable habitat is only 9.32% (8,726.58 ha) from 93,631.41 ha total area. The appropriate habitat areas are Sapinang Island, Bungkung Island, Sambuayan Island, Saodang Kecil Island, Besing Island, Lati River, Bebanir Lama, Batu-Batu, and Semanting Bay. We provide some suggestions for the proboscis monkey conservation, which are local protection of uninhabited islands, participatory ecotourism management, and company involvement in protection and management efforts.},

keywords = {Colobinae, MaxEnt, primate conservation, riverine forest, Species Distribution Model},

pubstate = {published},

tppubtype = {article}

}