Publikasi

@article{Condro2021a,

title = {Measuring Metrics of Climate Change and Its Implication on the Endangered Mammal Conservation in the Leuser Ecosystem},

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

doi = {10.3389/fenvs.2021.713837},

issn = {2296665X},

year  = {2021},

date = {2021-01-01},

journal = {Frontiers in Environmental Science},

volume = {9},

number = {September},

pages = {1–9},

abstract = {The Leuser Ecosystem is one of the essential landscapes in the world for biodiversity conservation and ecosystem services. However, the Leuser Ecosystem has suffered many threats from anthropogenic activities and changing climate. Climate change is the greatest challenge to global biodiversity conservation. Efforts should be made to elaborate climatic change metrics toward biological conservation practices. Herein, we present several climate change metrics to support conservation management toward mammal species in the Leuser Ecosystem. We used a 30-year climate of mean annual temperature, annual precipitation, and the BIOCLIM data to capture the current climatic conditions. For the future climate (2050), we retrieved three downscaled general circulation models for the business-as-usual scenario of shared socioeconomic pathways (SSP585). We calculated the dissimilarities of the current and 2050 climatic conditions using the standardized Euclidean distance (SED). To capture the probability of climate extremes in each period (i.e., current and future conditions), we calculated the 5th and 95th percentiles of the distributions of monthly temperature and precipitation, respectively, in the current and future conditions. Furthermore, we calculated forward and backward climate velocities based on the mean annual temperature. These metrics can be useful inferences about species conservation. Our results indicate that almost all of the endangered mammals in the Leuser Ecosystem will occur in the area with threats to local populations and sites. Different conservation strategies should be performed in the areas likely to present different threats toward mammal species. Habitat restoration and long-term population monitoring are needed to support conservation in this mega biodiversity region.},

keywords = {biodiversity, climate change, conservation, mammal, tropical landscape},

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}

}