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姚冲博士在SCI期刊《Frontiers in Ecology and Evolution》发表论文

时间:2026-05-20 15:44:37 来源:科研与研究生管理办公室 作者:崔向超 阅读: 次

标题:Spatio-temporal evolution characteristics of vegetation net primary productivity and its response to climate change in the Qinling-Tongbai-Dabie Mountain region

作者:Chong Yao, Yan Zhuan, Shige Zhang, Yanyan Zhu, Congyu Gao, Yingjie Shan and Ming Zhu

来源出版物:Frontiers in Ecology and Evolution

DOI:10.3389/fevo.2026.1761470

出版年:2026

文献类型:Article

语种:英文

摘要:Introduction: Net Primary Productivity (NPP) is a key indicator reflecting the carbon sequestration capacity of terrestrial ecosystems. However, the spatiotemporal evolution characteristics of vegetation NPP under global climate change and its response to climate variation in climate transition zones remain insufficiently understood.

Methods: The remote sensing data and climatic variables including temperature, precipitation, and sunshine duration in Qinling-Tongbai-Dabie Mountain region were adopted and the spatio-temporal evolution of vegetation NPP in northsouth climate transition zone in China was analyzed. The response of vegetation NPP to climate factors was analyzed and relative contribution rates of different climatic factors to vegetation NPP were estimated.

Results: The results showed that the annual average temperature and precipitation from 2000 to 2020 exhibited a increasing trend, while sunshine duration showed a significant decreased trend. The mean NPP in Qinling-Tongbai-Dabie Mountain region from 2000 to 2020 was 533.337 MgC, with the mean annual NPP displaying a significant increasing trend at a rate of 55.39 ± 22.45 MgC 10a-1. The vegetation NPP exhibited a distinct pattern of “low in the east and west, high in the middle”. The annual average vegetation NPP was positively correlated with annual average temperature and precipitation, and negatively correlated with sunshine duration. The annual average temperature contributed the most to NPP variability (50.73%), followed by sunshine duration (36.07%), with precipitation contributing the least (13.20%).

Conclusions: The findings provide an important scientific basis for ecosystem service assessment and rational vegetation resource planning.

关键词:climatic factors; contribution rates; NPP; spatio-temporal evolution; vegetation

影响因子:3.2

论文链接:https://doi.org/10.3389/fevo.2026.1761470

(地理科学学院 程建双/撰稿 崔向超/初审 闫军辉/复审 韩勇/终审)


编辑:姚玉坤