Analysis of Spatio-temporal Dynamics and Driving Force of Vegetation Cover in Fujian Province Section of Tingjiang River Basin Based on Geographical Detector
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    Abstract:

    [Objective] The spatial and temporal patterns of vegetation cover and its driving forces in the Tingjiang River basin of the southern red soil erosion area, were scientifically evaluated to reveal the strength of the role of each driving factor in the spatial differentiation of vegetation cover and the mechanism of interaction in order to provide a scientific basis for the restoration of ecosystems and comprehensive control of soil erosion. [Methods] Based on the monthly scale MOD13Q1 (250 m) dataset for 20 years from 2000 to 2020, we used one-way linear regression and Pearson’s correlation analysis to explore the relationship between normalised difference vegetation index (NDVI) and time and incorporated natural and anthropogenic factors such as temperature, precipitation, and elevation, as well as the spatial and temporal dynamics of vegetation NDVI in the watershed using the geoprobe model. A geoprobe model was used to analyse the temporal and spatial changes in vegetation NDVI in the watershed. [Results] ① Temporally, the vegetation cover in the Tingjiang River basin showed a fluctuating upward trend from 2000 to 2020, with a growth rate of 7.11% and an average rate of increase of 0.002 2/year, indicating that the ecological environment of the region was stable and continuously improving. ② Spatially, the overall medium-high and high coverage was dominant, showing a spatial distribution pattern that was lower than the surrounding area in the middle of each district and county, with significant geographical differences; the NDVI improved area was 86.33%, which was much larger than the degraded area region. ③ The driving factor detection results were: precipitation > elevation > temperature > GDP> population density > land use type > vegetation type > slope > soil type. [Conclusion] Temporal and spatial variations in vegetation cover within the Tingjiang River Basin were affected by both natural and anthropogenic factors. The explanatory power of the precipitation factor was 0.705, which was the main driving factor affecting the changes in vegetation cover in the study area. Elevation, temperature, and GDP were the secondary driving factors, with explanatory powers of 0.58 or more. The interactions (q) between the factors showed higher explanatory power than the single factors, mainly in the form of a complex relationship between the enhancement and nonlinear enhancement effects of the two factors.

    Reference
    [1] 陈国光,刘红樱,陈进全,等.福建长汀县水土流失的地质影响因素及防治对策[J].水文地质工程地质,2020,47(6):26-35. Chen Guoguang, Liu Hongying, Chen Jinquan, et al. Geological influence factors of soil erosion in Changting County, Fujian Province and the countermeasures to prevent and control [J]. Hydrogeology & Engineering Geology, 2020,47(6):26-35.
    [2] Wu Hui, Sun Liying, Liu Zhe. Ecosystem service assessment of soil and water conservation based on scenario analysis in a hilly red-soil catchment of Southern China [J]. Water, 2022,14(8):1284.
    [3] Li Zhongwu, Ning Ke, Chen Jia, et al. Soil and water conservation effects driven by the implementation of ecological restoration projects: Evidence from the red soil hilly region of China in the last three decades [J]. Journal of Cleaner Production, 2020,260:121109.
    [4] Suzuki R, Masuda K, Dye D G. Interannual covariability between actual evapotranspiration and PAL and GIMMS NDVIs of northern Asia [J]. Remote Sensing of Environment, 2007,106(3):387-398.
    [5] Bai Hexiang, Li Deyu, Ge Yong, et al. Spatial rough set-based geographical detectors for nominal target variables [J]. Information Sciences, 2022,586:525-539.
    [6] 金凯,王飞,韩剑桥,等.1982—2015年中国气候变化和人类活动对植被NDVI变化的影响[J].地理学报,2020,75(5):961-974. Jin Kai, Wang Fei, Han Jianqiao, et al. Contribution of climatic change and human activities to vegetation NDVI change over China during 1982-2015[J]. Acta Geographica Sinica, 2020,75(5):961-974.
    [7] 彭文甫,张冬梅,罗艳玫,等.自然因子对四川植被NDVI变化的地理探测[J].地理学报,2019,74(9):1758-1776. Peng Wenfu, Zhang Dongmei, Luo Yanmei, et al. Influence of natural factors on vegetation NDVI using geographical detection in Sichuan Province [J]. Acta Geographica Sinica, 2019,74(9):1758-1776.
    [8] SLeroux L, Bégué A, Seen D L, et al. Driving forces of recent vegetation changes in the Sahel: Lessons learned from regional and local level analyses [J]. Remote Sensing of Environment, 2017,191:38-54.
    [9] Barbosa H A, Lakshmi Kumar T V, Silva L R M. Recent trends in vegetation dynamics in the South America and their relationship to rainfall [J]. Natural Hazards, 2015,77(2):883-899.
    [10] 孔冬冬,张强,黄文琳,等.1982—2013年青藏高原植被物候变化及气象因素影响[J].地理学报,2017,72(1):39-52. Kong Dongdong, Zhang Qiang, Huang Wenlin, et al. Vegetation phenology change in Tibetan Plateau from 1982 to 2013 and its related meteorological factors [J]. Acta Geographica Sinica, 2017,72(1):39-52.
    [11] 王小霞,刘志华,焦珂伟.2000—2017年东北森林NDVI时空动态及其驱动因子[J].生态学杂志,2020,39(9):2878-2886. Wang Xiaoxia, Liu Zhihua, Jiao Kewei. Spatiotemporal dynamics of normalized difference vegetation index(NDVI) and its drivers in forested region of Northeast China during 2000—2017[J]. Chinese Journal of Ecology, 2020,39(9):2878-2886.
    [12] 王劲峰,徐成东.地理探测器: 原理与展望[J].地理学报,2017,72(1):116-134. Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective [J]. Acta Geographica Sinica, 2017,72(1):116-134.
    [13] Zhang Shuhui, Zhou Yuke, Yu Yong, et al. Using the geodetector method to characterize the spatiotemporal dynamics of vegetation and its interaction with environmental factors in the Qinba mountains, China [J]. Remote Sensing, 2022,14(22):5794.
    [14] 杨严攀,田培,沈晨竹,等.基于RUSLE模型和地理探测器的鄂西南土壤侵蚀脆弱性评价[J].水土保持学报,2024,38(1):91-103. Yang Yanpan, Tian Pei, Shen Chenzhu, et al. Vulnerability assessment of soil erosion in southwestern Hubei Province based on RUSLE model and geographic detector [J]. Journal of Soil and Water Conservation, 2024,38(1):91-103.
    [15] 林蔚,徐建刚,杨帆.汀江上游流域生态水文分区研究[J].水土保持研究,2017,24(5):227-232. Lin Wei, Xu Jiangang, Yang Fan. Research on eco-hydrological regions of upper reaches of the Tingjiang River [J]. Research of Soil and Water Conservation, 2017,24(5):227-232.
    [16] 王海龙.基于小波分析的汀江水沙通量变化规律研究[J].泥沙研究,2012(2):61-67. Wang Hailong. Characteristics of water discharge and sediment load variability of Tingjiang River by wavelet analysis [J]. Journal of Sediment Research, 2012(2):61-67.
    [17] 张杰,张正栋,万露文,等.气候变化和人类活动对汀江径流量变化的贡献[J].华南师范大学学报(自然科学版),2017,49(6):84-91. Zhang Jie, Zhang Zhengdong, Wan Luwen, et al. The contributions of climate change and human activities on runoff of the Tingjiang River [J]. Journal of South China Normal University (Natural Science Edition), 2017,49(6):84-91.
    [18] 李林叶,田美荣,梁会,等.2000—2016年呼伦贝尔草原植被覆盖度时空变化及其影响因素分析[J].生态与农村环境学报,2018,34(7):584-591. Li Linye, Tian Meirong, Liang Hui, et al. Spatial and temporal changes of vegetation coverage and influencing factors in Hulun Buir grassland during 2000-2016[J]. Journal of Ecology and Rural Environment, 2018,34(7):584-591.
    [19] 丁永康,叶婷,陈康.基于地理探测器的滹沱河流域植被覆盖时空变化与驱动力分析[J].中国生态农业学报(中英文),2022,30(11):1737-1749. Ding Yongkang, Ye Ting, Chen Kang. Analysis of spatio-temporal dynamics and driving forces of vegetation cover in the Hutuo River Basin based on the geographic detector [J]. Chinese Journal of Eco-Agriculture, 2022,30(11):1737-1749.
    [20] 高思琦,董国涛,蒋晓辉,等.基于地理探测器的三江源植被变化及自然驱动因子分析[J].水土保持研究,2022,29(4):336-343. Gao Siqi, Dong Guotao, Jiang Xiaohui, et al. Analysis of vegetation coverage changes and natural driving factors in the Three-River Headwaters Region based on geographical detector [J]. Research of Soil and Water Conservation, 2022,29(4):336-343.
    [21] 吕勇,修丽娜,姚晓军.2000—2020年湟水流域植被NDVI变化及其驱动力分析[J].水土保持学报,2023,37(4):150-157. Lü Yong, Xiu Lina, Yao Xiaojun. Vegetation NDVI change and driving force analysis in Huangshui watershed from 2000 to 2020[J]. Journal of Soil and Water Conservation, 2023,37(4):150-157.
    [22] 胡鸿,许延丽,鞠洪波,等.基于遥感影像的福建省长汀县级植被覆盖变化监测及分析[J].南京林业大学学报(自然科学版),2019,43(3):92-98. Hu Hong, Xu Yanli, Ju Hongbo, et al. Monitoring and analysis of county-level vegetation cover change in Changting,Fujian based on remote sensing images [J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2019,43(3):92-98.
    [23] 王一帆,徐涵秋.利用MODIS EVI时间序列数据分析福建省植被变化(2000—2017年)[J].遥感技术与应用,2020,35(1):245-254. Wang Yifan, Xu Hanqiu. Analysis of vegetation changes in Fujian Province using MODIS EVI time series data(2000-2017) [J]. Remote Sensing Technology and Application, 2020,35(1):245-254.
    [24] 陈达兴.汀江(韩江)流域生态补偿机制试点的实践与创新[J].环境保护,2017,45(7):31-33. Chen Daxing. Practice and innovation of Eco-compensation mechanism pilot in Tingjiang-Hanjiang River Basin [J]. Environmental Protection, 2017,45(7):31-33.
    [25] 余红红,杨加猛,万紫璇.基于水源涵养服务视角的汀江(韩江)流域森林横向生态补偿标准[J].林业科学,2023,59(2):1-9. Yu Honghong, Yang Jiameng, Wan Zixuan. Horizontal compensation standards for forest ecological benefits in Tingjiang (Hanjiang) River basin based on the perspective of water retention service [J]. Scientia Silvae Sinicae, 2023,59(2):1-9.
    [26] Bao Gang, Qin Zhihao, Bao Yuhai, et al. NDVI-based long-term vegetation dynamics and its response to climatic change in the Mongolian Plateau [J]. Remote Sensing,2014,6(9):8337-8358.
    [27] Barbieri A F, Carr D L. Gender-specific out-migration, deforestation and urbanization in the Ecuadorian Amazon [J]. Global and Planetary Change, 2005,47(2/3/4):99-110.
    [28] 陈欢,任志远.中国大陆植被覆盖对降水与温度变化的响应[J].水土保持通报,2013,33(2):78-82. Chen Huan, Ren Zhiyuan. Response of vegetation coverage to changes of precipitation and temperature in Chinese mainland [J]. Bulletin of Soil and Water Conservation, 2013,33(2):78-82.
    [29] Chu Hongshuai, Venevsky S, Wu Chao, et al. NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015[J]. Science of the Total Environment, 2019,650:2051-2062.
    [30] Li Yali, Wang Xiaoqin, Chen Yunzhi, et al. Land surface temperature variations and their relationship to fractional vegetation coverage in subtropical regions: A case study in Fujian Province, China [J]. International Journal of Remote Sensing, 2020,41(6):2081-2097.
    [31] Farrar T J, Nicholson S E, Lare A R. The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana.II. NDVI response to soil oisture [J]. Remote Sensing of Environment, 1994,50(2):121-133.
    [32] 黄鹏,郭闽,夏思颖,等.城市化与生态环境耦合状况分析: 以福建龙岩为例[J].内江师范学院学报,2015,30(4):52-56. Huang Peng, Guo Min, Xia Siying, et al. Analysis of the coupling effects between urbanization and eco-environment: A case study of Longyan city, Fujian province [J]. Journal of Neijiang Normal University, 2015,30(4):52-56.
    [33] 陈淼,汪小钦,林敬兰,等.土地利用和植被覆盖变化对长汀县30多年土壤侵蚀变化的定量影响[J].水土保持学报,2023,37(5):168-177. Chen Miao, Wang Xiaoqin, Lin Jinglan, et al. Quantitative effects of land use and vegetation cover changes on soil erosion in Changting County in recent 30 years [J]. Journal of Soil and Water Conservation, 2023,37(5):168-177
    [34] Zhao Yi, Tomita M, Hara K, et al. Effects of topography on status and changes in land-cover patterns, Chongqing City, China [J]. Landscape and Ecological Engineering, 2014,10(1):125-135.
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刘陵桦,孟维彩,蔡翠婷,李毅杰,袁宇奇,王晓宇,张翔,侯晓龙.基于地理探测器的汀江流域福建段植被覆盖时空变化及驱动力分析[J].水土保持通报英文版,2024,44(4):236-246,382

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  • Received:November 08,2023
  • Revised:May 10,2024
  • Online: September 04,2024