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All Journal Biodiversitas Journal of Biological Diversity Nusantara Bioscience
ILYAS NURSAMSI
Bird Conservation Society (BICONS). Bandung 40184, West Java, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Other

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Predicting impacts of future climate change on the distribution of the widespread selaginellas (Selaginella ciliaris and S. plana) in Southeast Asia AHMAD DWI SETYAWAN; JATNA SUPRIATNA; NISYAWATI NISYAWATI; SUTARNO SUTARNO; ILYAS NURSAMSI
Biodiversitas Journal of Biological Diversity Vol. 19 No. 5 (2018)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d190548

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 Setyawan AD, Supriatna J, Nisyawati, Sutarno, Sugiyarto, Nursamsi I. 2018. Predicting impacts of future climate change on the distribution of the widespread selaginellas (Selaginella ciliaris and S. plana) in Southeast Asia. Biodiversitas 19: 1960-1977. The current global climate is moving towards dangerous and unprecedented conditions that have been seen as a potentially devastating threat to the environment and all living things.  Selaginella is a fern-allies that needs water as a medium for fertilization, hence its distribution is presumed to be affected by climate change. In Southeast Asia (SEA), there are two widely distributed selaginellas, namely Selaginella ciliaris and S. plana. S. ciliaris is a small herb (up to 4 cm), annual, abundant during the rainy season, and found in the middle-high plains, whereas S. plana is a stout large herb (up to 80 cm), perennial, and mainly found in the lowlands. The purpose of this study was to determine the potential niche distribution of S. ciliaris and S. plana under current climatic conditions, and to predict its future distribution under the impacts of climate change. We used Maxent software along with bioclimatic, edaphic, and UV radiation variables to model the potential niche distribution of those two selaginellas under current and future predictions climate conditions. We generated future predictions under four detailed bioclimatic scenarios (i.e., RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5) over three times intervals (2030, 2050, 2080). The results showed that future climatic conditions in the SEA had been predicted to significantly disrupt the distribution of suitable habitat of S. ciliaris and S. plana, and alter their geographic distribution patterns. Although some areas were predicted to become suitable habitat in the early period of future climate change, the overall projections show adverse effects of future climate conditions on the suitable habitat distribution of S. ciliaris and S. plana, as estimated losses of suitable habitat will be higher than the gains.
Assessment of the successfulness of mangrove plantation program through the use of open source software and freely available satellite ILYAS NURSAMSI; WULAN RATNA KOMALA
Nusantara Bioscience Vol. 9 No. 3 (2017)
Publisher : Smujo International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/nusbiosci/n090303

Abstract

Nursamsi I, Komala WR.2017. Assessment of the successfulness of mangrove plantation program through the use of open source software and freely available satellite images. Nusantara Bioscience 9: 251-259. Mangrove forest has a major role in the process of human-environment interaction, but almost every mangrove forest in the world is under threat. In Indonesia alone, 25% of South East Asia’s mangroves are at a risk. The continued decline in mangrove forest induced by anthropogenic activity has made all the stakeholders who have the concern at the mangrove forest preservation worried, including the government. There were several programs have been performed by the government to preserve the mangrove forest. One of the programs was “Mangrove Rehabilitation Program in three districts: Ciamis, Indramayu, and Subang” held by Forestry Department of West Java Province in 2007. The aims of this study were to assess the changes in mangrove forest area before the program performed and to evaluate the successfulness of the program, using the increasing of mangrove forest area as a parameter. This study was conducted only in Subang and Indramayu Districts of West Java, Indonesia. The assessment was conducted using Landsat 4-5 TM, Landsat 7 ETM+, and Landsat 8 OLI acquired in 1996, 2006, and 2016 respectively. For each image, a supervised classification method was performed using open source GRASS GIS software. The resulting maps were then compared to quantify the changes. Field work activity conducted and confirmed the changes that occurred in the study areas. Our study shows that all of the two districts exhibit successfulness of the plantation program. Ground truth survey confirmed that the successfulness of the plantation program is due to the participation of communities in the area of study. This study also shows that by using open source software and freely available satellite images, the fast, robust, and reliable data as an initial step to monitor both short-term and long-term plantation program can be collected effectively and inexpensively.
Co-Authors AHMAD DWI SETYAWAN JATNA SUPRIATNA NISYAWATI NISYAWATI SUTARNO SUTARNO WULAN RATNA KOMALA