Predicting current and future potential distributions of the greater bandicoot rat (<scp><i>Bandicota indica</i></scp>) under climate change conditions

Lin, Siliang; Yao, Dandan; Jiang, Hongxue; Qin, Jiao; Feng, Zhiyong

doi:10.1002/ps.7804

Cited by 1 publication

(1 citation statement)

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“…An AUC value of 0.5-0.6 is predicted failure; 0.6-0.7 indicates poor prediction; 0.7-0.8 represents a general forecast; 0.8-0.9 indicates good prediction; and 0.9-1.0 represents that the prediction results are very accurate and reliable [52]. When AUC > 0.85, the predicted results are acceptable [53,54].…”

Section: Model Accuracy Validationmentioning

confidence: 99%

The Ginkgo biloba L. in China: Current Distribution and Possible Future Habitat

Zhang,

Tian

et al. 2023

Forests

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With the increase in global temperature, the global change situation dominated by climate warming is becoming more and more serious. Climate change will cause differences in the suitable areas of species in different periods. Ginkgo biloba L., a rare and endangered wild plant protected at the national level in China, is the oldest relict plant in the world. Because of severe climate change, only China’s wild Ginkgo biloba has been preserved, yet China’s wild Ginkgo biloba population is facing extinction risk. Ginkgo biloba has rich ornamental value, application value, economic value, medicinal value and ecological value. Not only can it produce economic and ecological benefits, but it can also produce huge social benefits. Based on the data of Ginkgo biloba sample distribution, bioclimatic variables and soil variables, this paper uses the MaxEnt model to simulate Ginkgo biloba suitable area under current and future different climate scenarios, and analyzes the changes in the potential suitable area of Ginkgo biloba in the future through ArcGIS 10.6. The results are as follows: (1) the results simulated by the MaxEnt model are AUC > 0.9, showing that the simulation results have a high accuracy; (2) the min temperature of the coldest month, precipitation of the wettest month, elevation, and temperature seasonality are the main environmental variables affecting the change in the Ginkgo biloba suitable area; (3) under future climate scenarios, the suitable area of Ginkgo biloba is predicted to expand in the future, covering most of the south and some northeast regions, and moderate temperature and precipitation changes under climate change are conducive for the growth of Ginkgo biloba; and (4) in the future, the distribution center of the suitable area will move to the northeast. According to the conclusions in this paper, it is expected to provide theoretical reference for cultivation and management, sustainable utilization and solution of ecological environment problems of Ginkgo biloba.

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Section: Model Accuracy Validationmentioning

confidence: 99%