基于地理探测的黄土高原植被生长对气候的响应

doi:10.13287/j.1001-9332.202202.012

应用生态学报 ›› 2022, Vol. 33 ›› Issue (2): 448-456.doi: 10.13287/j.1001-9332.202202.012

基于地理探测的黄土高原植被生长对气候的响应

贺鹏¹, 毕如田^1*, 徐立帅^1,2, 王婧姝¹, 曹晨斌¹

¹山西农业大学资源环境学院, 山西晋中 030801;
²中国气象局乌鲁木齐沙漠气象研究所, 乌鲁木齐 830002

收稿日期:2021-07-02 修回日期:2021-11-10 出版日期:2022-02-15 发布日期:2022-08-15
通讯作者: *E-mail: brt@sxau.edu.cn
作者简介:贺鹏, 男, 1989年生, 博士研究生。主要从事生态环境遥感及陆气相互作用研究。E-mail: hepeng7777@126.com
基金资助:
中国沙漠气象科学研究基金项目(Sqj2020011)、山西农业大学科技创新基金项目(2017022,2016YJ16)和山西省社科联重点课题研究项目(SSKLZDKT2021039)资助。

Using geographical detection to analyze responses of vegetation growth to climate change in the Loess Pla-teau, China

HE Peng¹, BI Ru-tian^1*, XU Li-shuai^1,2, WANG Jing-shu¹, CAO Chen-bin¹

¹College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, Shanxi, China;
²Institute of Desert Meteoro-logy, China Meteorologica Administration, Urumqi 830002, China

Received:2021-07-02 Revised:2021-11-10 Online:2022-02-15 Published:2022-08-15

摘要/Abstract

摘要： 为探讨黄土高原不同植被类型对气候变化的响应机制,以2002—2019年黄土高原归一化植被指数(NDVI)数据为基础,利用趋势分析、Hurst指数、地理探测器等方法分析不同植被类型NDVI变化趋势及其与气象因子的关系。结果表明: 2002—2019年,黄土高原不同植被类型NDVI以增长趋势和同向中持续性为主,仅栽培植被在建成区及周边NDVI呈显著和极显著下降趋势。植被主要生长期(4—10月),除受混合像元影响较大的草丛和草甸外,其余植被类型NDVI空间差异性显著,NDVI均值由大到小依次为针叶林>阔叶林>灌丛>草甸>草丛>栽培作物>草原>荒漠。黄土高原气象因子交互作用表现为相互增强和非线性增强,不存在独立或减弱关系。在生境脆弱的草原和荒漠,气象因子的交互作用更加突出。降水与气温协同作用对不同植被类型均有较大影响。水汽压、相对湿度、日照、气压和风速则通过间接影响水热条件,对NDVI产生不同解释力。

关键词: 黄土高原, 归一化植被指数, 植被类型, 气象因子, 地理探测器

Abstract: In order to explore the responses of different vegetation types to climatic change in the Chinese Loess Plateau (CLP), we analzyed the changes of different vegetation types and their relationships with meteorological factors using trend analysis, Hurst index, and geographical detector model based on normalized difference vegetation index (NDVI). The results showed that NDVI of different vegetation types from 2002 to 2019 was dominated by a growing trend and codirectional moderate persistence. The NDVI of crops in the built-up and adjacent areas decreased significantly. Except for grassland or meadow that was affected by mixed pixels, the spatial variation of NDVI was significant in the growing season (from April to October). The mean NDVI of different vegetation types followed an oder: coniferous forest > broadleaved forest > scrub > meadow > grassland > crop > steppe > desert. The interactions between meteorological factors were synergistic and non-linear enhancement in the CLP. Moreover, the interaction was more prominent under steppe and desert where habitat was fragile. The synergistic effect of precipitation and temperature had a great influence on all vegetation types. Water vapor, relative humidity, sunshine duration, atmospheric pressure, and wind speed had different explanatory powers on NDVI through indirectly affec-ting hydrothermal conditions.

Key words: Loess Plateau, normalized difference vegetation index (NDVI), vegetation type, meteorological factor, geographical detector

贺鹏, 毕如田, 徐立帅, 王婧姝, 曹晨斌. 基于地理探测的黄土高原植被生长对气候的响应[J]. 应用生态学报, 2022, 33(2): 448-456.

HE Peng, BI Ru-tian, XU Li-shuai, WANG Jing-shu, CAO Chen-bin. Using geographical detection to analyze responses of vegetation growth to climate change in the Loess Pla-teau, China[J]. Chinese Journal of Applied Ecology, 2022, 33(2): 448-456.

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基于地理探测的黄土高原植被生长对气候的响应

Using geographical detection to analyze responses of vegetation growth to climate change in the Loess Pla-teau, China

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