2021
DOI: 10.20886/jphka.2021.18.1.53-66
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Penggunaan Habitat dan Pemodelan Distribusi Spasial Macan Tutul Jawa di Kawasan Gunung Sawal, Jawa Barat

Abstract: Javan leopard (Panthera pardus melas) is a protected top predator classified as critically endangered and one of 25 national priority animals. Data and information regarding habitat use and modeling of the spatial distribution of the javan leopard using MaxEnt are still limited. This study aims to identify the habitat use of the javan leopard and predict the habitat suitability of the javan leopard. Data were collected by camera trap, exploration method, and environmental variable data using the Maximum Entrop… Show more

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Cited by 3 publications
(6 citation statements)
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References 17 publications
(27 reference statements)
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“…As the population density increases, human settlements begin to approach the forest area habitats, often causing the leopards to enter residential areas to hunt livestock. Locating community cattle pens close to forest areas can worsen this problem [14]. Leopards prefer prey between 25 and 50 kg or less than half their body size, such as goats and poultry [1].…”
Section: Discussionmentioning
confidence: 99%
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“…As the population density increases, human settlements begin to approach the forest area habitats, often causing the leopards to enter residential areas to hunt livestock. Locating community cattle pens close to forest areas can worsen this problem [14]. Leopards prefer prey between 25 and 50 kg or less than half their body size, such as goats and poultry [1].…”
Section: Discussionmentioning
confidence: 99%
“…This study used environmental parameters to predict habitat suitability, including physical and biological conditions. Biological conditions include forests, water bodies, shrubs, agriculture, and plantations [13,14]. The Javan leopard prefers dense forest vegetation as its habitat, utilizing lush forest vegetation as a place to find food, water, and shelter, and for breeding [15].…”
Section: Collection and Preparation Of Predictor Variablesmentioning
confidence: 99%
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“…The accuracy assessment for each model variable was measured by the Area Under Curve (AUC) of the Receiver Operating Characteristics (ROC) curve. The minimum acceptable model accuracy and performance standard is when the Random Prediction value reaches above or is equal to 0.5 (AUC = 0.5) [22]. The AUC value ranges from 0 to 1.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, using a confusion matrix in evaluating model performance for classification results, another way is to use Receiver Operating Characteristics (ROC) curves, which in the model is measured by Area Under Curve (AUC) value. The minimum acceptable standard accuracy and model performance is when the Random Prediction value is above or equal to 0.5 (AUC = 0.5) [17].…”
Section: Receiver Operating Characteristic (Roc) Curve Analysismentioning
confidence: 99%