Prediction of the Potentially Suitable Areas of Actinidia latifolia in China Based on Climate Change Using the Optimized MaxEnt Model

被引：2

作者：

Wang, Zhi ^{[1
]}

Luo, Minmin ^{[1
,2
]}

Ye, Lixia ^{[1
]}

Peng, Jue ^{[1
]}

Luo, Xuan ^{[1
]}

Gao, Lei ^{[1
]}

Huang, Qiong ^{[1
]}

Chen, Qinghong ^{[1
]}

Zhang, Lei ^{[1
]}

机构：

[1] Hubei Acad Agr Sci, Inst Fruit & Tea, Hubei Key Lab Germplasm Innovat & Utilizat Fruit T, Wuhan 430064, Peoples R China

[2] Yangtze Univ, Coll Hort & Gardening, Jingzhou 434023, Peoples R China

来源：

SUSTAINABILITY | 2024年 / 16卷 / 14期

基金：

中国国家自然科学基金;

关键词：

kiwifruit; maximum entropy method; climate change; environmental factors; suitable habitat; conservation biology; VITAMIN-C; CULTIVATION; SUITABILITY; SENSITIVITY; COMPLEXITY; WHEAT;

D O I：

10.3390/su16145975

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Actinidia latifolia, with the highest vitamin C content in its genus, is a unique wild relative of kiwifruit that could be important for genetic breeding research. Climate change significantly influences the distribution range of wild plants. Accurately assessing the potential distribution of wild kiwifruit and its response to climate change is crucial for the effective protection and sustainable utilization of its germplasm resources. In this study, we utilized the optimized MaxEnt model to predict the potential habitats of A. latifolia in China, employing the jackknife test to assess the importance of environmental variables in our modeling process. The results showed that annual precipitation (Bio12) and temperature annual range (Bio7) emerged as the most influential environmental variables affecting the distribution of this kiwifruit wild relative. As radiative forcing and time increase, the potential habitats of A. latifolia in China are projected to shrink southward, thereby exacerbating habitat fragmentation. This research offers significant scientific references for the investigation, protection, cultivation, and application of wild relatives of the kiwifruit.

引用

页数：15

共 68 条

[1] A quantitative synthesis of the importance of variables used in MaxEnt species distribution models [J].