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All Journal Biodiversitas Journal of Biological Diversity
SUTARNO SUTARNO
Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret. Jl. Ir. Sutami 36A Surakarta 57 126, Central Java, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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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

Abstract

 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.
Predicting potential impacts of climate change on the geographical distribution of mountainous selaginellas in Java, Indonesia AHMAD DWI SETYAWAN; JATNA SUPRIATNA; NISYAWATI NISYAWATI; ILYAS NURSAMSI; SUTARNO SUTARNO; SUGIYARTO SUGIYARTO; SUNARTO SUNARTO; PRAKASH PRADAN; SUGENG BUDIHARTA; ARI PITOYO; SAPTA SUHARDONO; PRABANG SETYONO; MUHAMMAD INDRAWAN
Biodiversitas Journal of Biological Diversity Vol. 21 No. 10 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d211053

Abstract

Abstract. Setyawan AD, Supriatna J, Nisyawati, Nursamsi I, Sutarno, Sugiyarto, Sunarto, Pradan P, Budiharta S, Pitoyo A, Suhardono S, Setyono P, Indrawan M. 2020. Predicting potential impacts of climate change on the geographical distribution of mountainous selaginellas in Java, Indonesia. Biodiversitas 21: 4866-4877. Selaginella is a genus of non-flowering plant that requires water as a medium for fertilization, as such, it prefers mountainous areas with high level of humidity. Such unique ecosystem of Selaginella is available in some parts of Java Island, Indonesia, especially in highland areas with altitude of more than 1,000 meters above sea level. However, most mountainous areas in Java are likely to be affected by climate change due to global warming, threatening the habitat and sustainability of Selaginella. This study aimed to investigate the impacts of climate change on the geographical distribution of Selaginella opaca Warb. and Selaginella remotifolia Spring. In doing so, we predicted the suitable habitats of both species using Species Distribution Model (SDM) tool of MaxEnt under present climate conditions and future conditions under four climate change scenarios. Species occurrence data were obtained from fieldworks conducted in 2007-2014 across Java Island (283 points: 144 and 139 points for S. opaca and S. remotifolia, respectively) and combined with secondary data from Global Biodiversity Information Facility (GBIF) (52 points: 35 and 17 points for S. opaca and S. remotifolia, respectively), and this dataset was used to model present geographical distribution using environmental and bioclimatic variables. Then, future distribution was predicted under four climate change scenarios: i.e. RCP (Representative Carbon Pathways) 2.6, RCP 4.5, RCP 6.0, and RCP 8.5 in three different time periods (2030, 2050, and 2080). The results of the models showed that the extent of suitable habitats of S. opaca and S. remotifolia will be reduced between 1.8-11.4% due to changes in climatic condition, and in the areas with high level of habitat suitability, including Mount Sumbing, Mount Sindoro and Mount Dieng (Dieng Plateau), the reduction can reach up to 60%. This study adds another context of evidence to understand the potential impacts of climate change on biodiversity, especially on climate-sensitive species, such as Selaginella, in climate-risk regions like mountainous areas of Java Island.
Yield stability and adaptability of newly selected black rice mutant lines (Oryza sativa) across dry-season agroecosystems in Central Java, Indonesia AHMAD SOFIAN; EDI PURWANTO; SUTARNO SUTARNO; PARJANTO PARJANTO
Biodiversitas Journal of Biological Diversity Vol. 27 No. 1 (2026)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d270103

Abstract

Abstract. Sofian A, Purwanto E, Sutarno, Parjanto. 2026. Yield stability and adaptability of newly selected black rice mutant lines (Oryza sativa) across dry-season agroecosystems in Central Java, Indonesia. Biodiversitas 27 (1): d270103. https://doi.org/10.13057/biodiv/d270103. Black rice (Oryza sativa) is a high-value functional food; however, its productivity remains low due to limited adaptability and narrow genetic diversity. This study aimed to evaluate the yield stability and adaptability of two selected black rice mutant lines compared to three check varieties across multiple dry-season agroecosystems in  Central Java, Indonesia. A multilocation trial was conducted at four sites in Klaten and Boyolali during the 2024 dry season using a randomized complete block design with five replications. The genetic materials consisted of two promising mutant lines (51 and 52) and three check varieties (Sembada, Jeliteng, and Cempo Ireng). Analyses included ANOVA, estimation of genetic parameters (GCV, PCV, and heritability), and stability-adaptability assessments using AMMI and GGE biplot models. There were significant genotype effects (p<0.01) on all major traits, with Genotype × Environment (G×E) interactions were significant for most growth traits but not for yield per plot and per hectare. The promising line 52 exhibited the highest mean yield (7.68 t ha⁻¹), significantly higher than the promising line 51 (6.43 t ha⁻¹) and the check varieties (≤5.98 t ha⁻¹). Broad-sense heritability estimates were greater than 50% for most yield-related traits, indicating strong genetic control. The promising line 52 exhibited the highest productivity with specific adaptation to certain environments, whereas promising line 51 demonstrated moderate yield performance with broader stability and adaptability. These findings confirm the presence of G×E interactions influencing yield expression. Therefore, multi-season testing is required to obtain a more comprehensive evaluation of yield stability and adaptability under varying climatic conditions, ensuring the selection of superior black rice genotypes that are high-yielding, stable, and resilient to seasonal fluctuations.
Co-Authors AHMAD DWI SETYAWAN AHMAD DWI SETYAWAN AHMAD SOFIAN ARI PITOYO EDI PURWANTO ILYAS NURSAMSI ILYAS NURSAMSI JATNA SUPRIATNA JATNA SUPRIATNA MUHAMMAD INDRAWAN NISYAWATI NISYAWATI NISYAWATI NISYAWATI Parjanto PARJANTO PRABANG SETYONO PRAKASH PRADAN SAPTA SUHARDONO SUGENG BUDIHARTA SUGIYARTO SUGIYARTO SUNARTO SUNARTO