京津风沙源区不同分区植被覆盖度变化及归因分析

doi:10.13287/j.1001-9332.202108.018

应用生态学报 ›› 2021, Vol. 32 ›› Issue (8): 2895-2905.doi: 10.13287/j.1001-9332.202108.018

京津风沙源区不同分区植被覆盖度变化及归因分析

孟琪¹, 武志涛^1*, 杜自强¹, 张红²

¹山西大学黄土高原研究所, 太原 030006;
²山西大学环境与资源学院, 太原 030006

收稿日期:2021-02-17 接受日期:2021-05-21 出版日期:2021-08-15 发布日期:2022-02-15
通讯作者: *E-mail: wuzhitao@sxu.edu.cn
作者简介:孟琪, 女, 1994年生, 硕士研究生。主要从事植被变化与生态遥感研究。E-mail: mengqi4028@163.com
基金资助:
国家自然科学基金项目(41977412,U1810101,41871193)和山西省高等学校科技创新项目(2020L0014)资助

Variation in fractional vegetation cover and its attribution analysis of different regions of Beijing-Tianjin Sand Source Region, China

MENG Qi¹, WU Zhi-tao^1*, DU Zi-qiang¹, ZHANG Hong²

¹Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China;
²College of Environment and Resource Science, Shanxi University, Taiyuan 030006, China

Received:2021-02-17 Accepted:2021-05-21 Online:2021-08-15 Published:2022-02-15
Contact: *E-mail: wuzhitao@sxu.edu.cn
Supported by:
National Natural Science Foundation of China (41977412, U1810101, 41871193) and the Scientific and Technological Innovation Project of Higher Education Institutions in Shanxi Province (2020L0014).

摘要/Abstract

摘要： 以2000—2018年MODIS NDVI影像为数据源,基于像元二分模型估算京津风沙源区植被覆盖度(FVC),分析京津风沙源区FVC的时空变化特征,并结合自然因素和人类活动,运用地理探测器模型探究自然、人类活动对区域尺度FVC空间分布的影响。结果表明:2000—2018年,京津风沙源区FVC呈增加趋势,增长速率为0.013·(10 a)^-1,植被增加率为8.2%,FVC较高的区域在燕山丘陵山地水源保护区,其次是农牧交错带沙化土地治理区和浑善达克沙地治理区,FVC较低的区域为北部干旱草原沙地治理区。不同分区各驱动因子对FVC空间分布的解释力不同。自然因素中,年降水量是控制北部干旱草原治理区、浑善达克沙地治理区和燕山丘陵山地水源保护区FVC空间分布的主要驱动因子,坡度是控制农牧交错带沙化土地治理区的主要驱动因子;人类活动中,年末大牲畜头数是控制北部干旱草原治理区和农牧交错带沙化土地治理区FVC空间分布的主要驱动因子,人口密度是控制浑善达克沙地治理区和燕山丘陵山地水源保护区FVC空间分布的主要驱动因子;其他因子对FVC空间分布的影响则存在区域差异。交互探测器结果显示,双因子交互作用以双协同作用和非线性协同作用为主。人类活动与年降水量、坡度等自然因素的共同作用能够更充分地解释FVC空间分布。风险探测器识别的适宜植被生长的范围为年降水量316.4～486.0 mm、平均相对湿度48.4%～57.6%、年均温2.5～7.9 ℃的区域,其他驱动因子则在不同分区之间存在差异。

关键词: 植被覆盖度, 自然因素, 人类活动, 地理探测器, 京津风沙源工程区

Abstract: Based on the MODIS NDVI data from 2000 to 2018, we estimated the fractional vegetation cover (FVC) using the dimidiate pixel model and analyzed the spatiotemporal characteristics of FVC in the Beijing-Tianjin sand source region (BTSSR). The geographical detector model was used to estimate the impacts of natural and human factors on FVC spatial distribution at the regional scale. The results showed that the FVC of the BBTSR showed an increasing trend from 2000 to 2018, with an annual growth rate of 0.013·(10 a)^-1 and a vegetation increase rate of 8.2%. The area with high FVC was concentrated in the Yanshan Mountain water source protection area, followed by the pastoral transitional zone desertified land control area and the Otindag sandy land area. The area with poor FVC was concentrated in the northern arid grassland area. The explanatory power of driving factors to FVC varied across different regions. Among the natural factors, annual precipitation was the main driving factor for the spatial distribution of FVC in the northern arid grassland area, the Otindag sandy land area and the Yanshan Mountain water source protection area. Slope was the main driving factor for the spatial distribution of FVC in the pastoral transitional zone desertified land control area. Among different human activities, the number of large livestock at the year-end was the main driving factor controlling the spatial distribution of FVC in the northern arid grassland area and the pastoral transitional zone desertified land control area, while population density was the main driving factor controlling the spatial distribution of FVC in the Otindag sandy land area and the Yanshan Mountain water source protection area. There were regional differences in the influen-ce of other factors on FVC spatial distribution. The results of the interaction detector showed that the two-factor interactions were mainly the double-synergy and nonlinear synergy. The interaction of human activities with annual precipitation and slope could more fully explain the spatial variations of FVC. The range of suitable vegetation growth identified by the risk detector was the area with annual precipitation of 316.4-486.0 mm, average relative humidity of 48.4%-57.6%, and average annual temperature of 2.5-7.9 ℃, while other driving factors were different in different zones.

Key words: fractional vegetation cover, natural factor, human activity, geographical detector model, Beijing-Tianjin sand source region

孟琪, 武志涛, 杜自强, 张红. 京津风沙源区不同分区植被覆盖度变化及归因分析[J]. 应用生态学报, 2021, 32(8): 2895-2905.

MENG Qi, WU Zhi-tao, DU Zi-qiang, ZHANG Hong. Variation in fractional vegetation cover and its attribution analysis of different regions of Beijing-Tianjin Sand Source Region, China[J]. Chinese Journal of Applied Ecology, 2021, 32(8): 2895-2905.

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京津风沙源区不同分区植被覆盖度变化及归因分析

Variation in fractional vegetation cover and its attribution analysis of different regions of Beijing-Tianjin Sand Source Region, China

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