Assessing Potential Distributions of Bird Endemic Species: Case Studies of Macrocephalon maleo and Rhyticeros cassidix and Their Threats

• Autorzy: Aldiansyah Septianto , Risna Risna , Saputra Randi Adrian

Identyfikatory

DOI

10.7494/geom.2024.18.3.45

• Języki publikacji: EN

Abstrakty

EN

Maleo and knobbed hornbill are bird species that are endemic on the island of Sulawesi, which is highly threatened by forest fires. Fires tend to destroy any affected species; however, it is not possible to survey the entire range of the original distribution of the two endemic bird species that are affected by forest fires due to practical constraints. Species distribution modeling using maximum entropy is considered to be an alternative to understanding the potential distribution area of species against the threat of forest fires. The prediction model from MaxEnt all have AUC values of greater than 0.70, which means that the model is good enough to classify the records of the presence of M. maleo and R. cassidix along with the past forest fires. The environmental variables that affect the distribution of M. maleo are its distance from hot water, rivers, and roads, while the distribution of R. cassidix is strongly influenced by its distance from roads, settlements, and rivers. Forest fire distribution is mostly influenced by soil type, land-use land cover, and rainfall. It is predicted that around 238,690 and 677,070 ha of the potential distribution of M. maleo and R. cassidix, respectively, are potentially disturbed and affected by forest fires. However, this number much greater outside conservation areas. The results of this study can be used by the government of the Republic of Indonesia (especially the Ministry of Environment and Forestry) for determining conservation actions for both species in the future.

Słowa kluczowe

EN

potential distribution; Macrocephalon maleo; Rhyticeros cassidix; forest fire; maximum entropy

• Wydawca: AGH University of Science and Technology Press
• Czasopismo: Geomatics and Environmental Engineering
• Rocznik: 2024
• Tom: Vol. 18, no. 3
• Strony: 45--61
• Opis fizyczny: Bibliogr. 59 poz., fot., rys., tab., wykr.

Twórcy

autor

Aldiansyah Septianto

• University of Indonesia, Faculty of Mathematics and Natural Sciences, Department of Geography, Depok, Indonesia

• https://orcid.org/0000-0002-5432-8322

autor

Risna Risna

• IPB University, Faculty of Mathematics and Natural Sciences, Department of Microbiology, Bogor, Indonesia,

• https://orcid.org/0009-0001-6401-1302

autor

Saputra Randi Adrian

• Halu Oleo University, Faculty of Teacher Training and Education, Department of Geography Education, Kendari, Indonesia

• https://orcid.org/0009-0001-2108-4392

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