Modelling of Aythya nyroca habitat under climate change scenarios in Pakistan using MaxEnt approach

被引：0

作者：

William, Gulzaman ^{[1
]}

Saqib, Zafeer ^{[2
]}

Qadir, Abdul ^{[3
]}

Iqbal, Muhammad Javed ^{[4
]}

Rafique, Afia ^{[2
]}

机构：

[1] Department of Biological Sciences, University of Sialkot, Sialkot

[2] GIS and Eco-Informatics Laboratory, Department of Environmental Science, International Islamic University, Islamabad

[3] College of Earth and Environmental Sciences, Punjab University, Lahore

[4] Department of Biotechnology, University of Sialkot, Sialkot

来源：

International Journal of Environmental Studies | 2024年 / 81卷 / 06期

关键词：

Aythya nyroca; climate change; MaxEnt; wetland;

D O I：

10.1080/00207233.2024.2389693

中图分类号：

学科分类号：

摘要：

Climate change could disrupt the potential habitat of certain species, leading to shifts in their geographical ranges. MaxEnt modelling is a valuable tool for assessing habitat distribution and conservation strategies aimed at protecting threatened species. Our objective is to employ MaxEnt modelling to predict the current and future distribution of Aythya nyroca across various important wetlands in Punjab, Pakistan under two Shared Socio-economic Pathways (SSPs) (SSPs 126, and SSPs 370) for the 2040s, 2070s and 2100s. We used 60 occurrence records and 8 variables, to simulate Aythya nyroca distribution. Model performance was evaluated using the area under the receiver operating characteristic (ROC). AUC value was above 0.900 and thereby place this model in the excellent category. The jackknife test identified Bio19, Bio7, and Bio15 as influential variables. This study provides insights for habitat protection and management, through applying international and national legal provisions. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：2419 / 2434

页数：15

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