2000—2023年浙江省植被覆盖度时空演变及驱动力分析

doi:10.13474/j.cnki.11-2246.2025.0718

摘要/Abstract

摘要： 全球气候变化背景下,研究植被动态变化及其影响因素对监测区域生态环境质量和改善生态系统结构具有重要意义。本文利用Theil-Sen趋势分析、Mann-Kendall检验和变异系数法等方法,研究了浙江省植被覆盖度(FVC)时空变化特征及其稳定性,并通过地理探测器进行植被变化的驱动分析。结果表明,①时间尺度上,2000—2023年浙江省FVC波动中呈明显上升趋势,增加幅度约为3.1%/10a(P<0.05),多年均值为56.3%;②空间尺度上,浙江省FVC空间分布具有显著的异质性,高值区主要分布在研究区西北部、南部及东部山地区域;③变化趋势上,研究区FVC以增加趋势为主,其中显著增加的区域占比为63.84%,且研究时段内FVC以较低波动性为主;④高程和地形是影响研究区FVC空间分布差异的主要驱动因素,q值均在0.6以上;⑤各因子之间的交互影响均高于单因子的影响,且因子之间的交互作用呈现出非线性增强和双因子增强关系,FVC变化受土地利用和人口密度的交互影响最为突出。

关键词: 植被覆盖度, 浙江省, 地理探测器, 地形, 人为因素, 自然因素

Abstract: In the context of global climate change,studying vegetation dynamics and its influencing factors is of great significance for monitoring regional ecological environment quality and improves ecosystem structure.This paper uses Theil-Sen trend analysis,Mann-Kendall test and coefficient of variation method to study the spatio-temporal variation characteristics and stability of the fractional vegetation coverage (FVC) in Zhejiang province,and analyzes the driving force of vegetation change through geographic detectors.The results show that: ①On the temporal scale,the FVC fluctuation in Zhejiang province showed an obvious upward trend from 2000 to 2023,with an increase of about 3.1%/10a (P<0.05),and the multi-year mean was 56.3%. ②On the spatial scale,the spatial distribution of FVC in Zhejiang province had significant heterogeneity,and the high-value areas are mainly distributed in the northwest,south and eastern mountainous areas of the study area. ③On the trend of change,the FVC in the study area showed an increasing trend,of which the proportion of areas with significant increase is 63.84%,and the FVC is mainly low in volatility during the study period. ④Elevation and topography are the main driving factors affecting the differences in the spatial distribution of FVC in the study area,and the q values are all above 0.6. ⑤The interactive effects between the factors are higher than the influence of a single factor,and the interactions between the factors show nonlinear enhancement and double-factor enhancement relationships.The changes in FVC are most prominently affected by the interaction between land use and population density.

Key words: fraction vegetation cover, Zhejiang province, geographic detector, geography, human factors, natural factors

中图分类号:

P237

余丰华, 刘正华, 黄丽, 周诗凯, 沈笛, 姚菊祥, 王亚男. 2000—2023年浙江省植被覆盖度时空演变及驱动力分析[J]. 测绘通报, 2025, 0(7): 110-117.

YU Fenghua, LIU Zhenghua, HUANG Li, ZHOU Shikai, SHEN Di, YAO Juxiang, WANG Yanan. Spatio-temporal variation of fraction vegetation cover and their driving factors in Zhejiang province from 2000 to 2023[J]. Bulletin of Surveying and Mapping, 2025, 0(7): 110-117.

参考文献

[1] 方运霆,刘冬伟,段伊行,等.气候变暖对森林生态系统碳汇功能的影响:机制、方法和主要进展[J].生态学杂志,2024,43(9):2551-2565.
[2] HUANG Ke,ZHANG Yangjian,ZHU Juntao,et al.The influences of climate change and human activities on vegetation dynamics in the Qinghai-Tibet Plateau[J].Remote Sensing,2016,8(10): 876.
[3] 田云,刘俊艳,白爽,等.黄河流域甘肃段植被覆盖度变化与驱动因素[J/OL].农业机械学报,2024:1-14.(2024-05-11).[2024-09-08].http://kns.cnki.net/KCMS/detail/detail.aspx filename=NYJX20240508008&dbname=CJFD&dbcode=CJFQ.
[4] 祝萍,刘鑫,郑瑜晗,等.北方重点生态功能区生态系统服务权衡与协同[J].生态学报,2020,40(23): 8694-8706.
[5] HE Y,WANG Li,NIU Zheng,et al.Vegetation recovery and recent degradation in different Karst landforms of southwest China over the past two decades using GEE satellite archives[J].Ecological Informatics,2022,68: 101555.
[6] 赵明伟,王妮,施慧慧,等.2001—2015年间我国陆地植被覆盖度时空变化及驱动力分析[J].干旱区地理,2019,42(2): 324-331.
[7] 申子彬,方贺,何彩芬,等.2005—2021年镇海区植被生态时空变化及其气象驱动力分析[J].地理空间信息,2024,22(7): 80-83.
[8] GAO Lin,WANG Xiaofei,JOHNSON B A,et al.Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: a review[J].ISPRS Journal of Photogrammetry and Remote Sensing,2020,159: 364-377.
[9] DING Xinyu,WANG Qunming,TONG Xiaohua.Integrating 250m MODIS data in spectral unmixing for 500m fractional vegetation cover estimation[J].International Journal of Applied Earth Observation and Geoinformation,2022,111: 102860.
[10] 宋小龙,马明德,王鹏,等.2000—2022年宁夏不同地理分区生长季植被覆盖度时空非平稳性特征[J/OL].生态环境学报,2024:1-16.(2024-06-29).[2024-09-08].http://kns.cnki.net/KCMS/detail/detail.aspx filename=TRYJ20240626001&dbname=CJFD&dbcode=CJFQ.
[11] 姬翠翠,骆义峡,李晓松,等.Sentinel-1和Sentinel-2协同反演稀疏非光合植被覆盖度[J].遥感学报,2023,27(12):2873-2881.
[12] 李梦华,韩颖娟,赵慧,等.基于地理探测器的宁夏植被覆盖度时空变化特征及其驱动因子分析[J].生态环境学报,2022,31(7): 1317-1325.
[13] 刘垚燚,曾鹏,张然,等.基于GEE和BRT的1984—2019年长三角生态绿色一体化发展示范区植被覆盖度变化[J].应用生态学报,2021,32(3): 1033-1044.
[14] 郭建晓,桑会勇,翟亮.青藏高原植被覆盖度时空变化特征及其驱动因素[J].生态学杂志,2023,42(11):2665-2674.
[15] 史娜娜,韩煜,王琦,等.北京市植被覆盖度时空变化特征及其对城市化的响应[J].环境科学,2024,45(9): 5318-5328.
[16] 高大伟,张小伟,蔡菊珍,等.浙江省植被覆盖时空动态及其与生态气候指标的关系[J].应用生态学报,2010,21(6): 1518-1522.
[17] 何月,樊高峰,张小伟,等.浙江省植被NDVI动态及其对气候的响应[J].生态学报,2012,32(14):4352-4362.
[18] 宋立旺,邓健,王伟民,等.基于MODIS数据的浙江省植被覆盖度时空变化分析[J].长江科学院院报,2021,38(5): 40-46.
[19] 余梦晨,李迎,李月芬.2005—2018年浙江省植被生长季NDVI时空变化及其对气候因子的响应[J].湖北农业科学,2022,61(21):32-38.
[20] 方贺,张育慧,何月,等.浙江省植被生态质量时空变化及其驱动因素分析[J].自然资源遥感,2023,35(2): 245-254.
[21] 徐立晨,邓良,陈俊,等.基于GEE长三角植被覆盖度时空变化及特征分析[J].北京测绘,2024,38(3):387-392.
[22] ZHAO Xiaoyan,TAN Shucheng,LI Yongping,et al.Quantitative analysis of fractional vegetation cover in southern Sichuan urban agglomeration using optimal parameter geographic detector model,China[J].Ecological Indicators,2024,158: 111529.
[23] 王润科,王建,赵泽斌,等.基于MOD13Q1数据的天水市植被覆盖度时空变化分析[J].遥感技术与应用,2024,39(4):987-999.
[24] MAO Pingping,ZHANG Jing,LI Ming,et al.Spatial and temporal variations in fractional vegetation cover and its driving factors in the Hulun Lake region[J].Ecological Indicators,2022,135: 108490.
[25] LIU Wen,MO Xingguo,LIU Suxia,et al.Impacts of climate change on grassland fractional vegetation cover variation on the Tibetan Plateau[J].Science of the Total Environment,2024,939: 173320.
[26] LIU Chenxi,ZHANG Xiaodong,WANG Tong,et al.Detection of vegetation coverage changes in the Yellow River Basin from 2003 to 2020[J].Ecological Indicators,2022,138: 108818.
[27] ZHANG Min,WANG Jinman,LI Sijia.Tempo-spatial changes and main anthropogenic influence factors of vegetation fractional coverage in a large-scale opencast coal mine area from 1992 to 2015[J].Journal of Cleaner Production,2019,232: 940-952.
[28] ZHANG Yan,ZHANG Luoqi,WANG Junyi,et al.Quantitative analysis of NDVI driving factors based on the geographical detector model in the Chengdu-Chongqing region,China[J].Ecological Indicators,2023,155: 110978.
[29] 肖晶,饶良懿.2001—2020年乌梁素海流域植被NPP时空变化及驱动因素分析[J].环境科学,2024,45(8): 4744-4755.
[30] 徐勇,郑志威,郭振东,等.2000～2020年长江流域植被NDVI动态变化及影响因素探测[J].环境科学,2022,43(7):3730-3740.
[31] 王晓蕾,石守海,陈江朝霞.黄河流域植被覆盖度变化及驱动因素[J].中国环境科学,2022,42(11): 5358-5368.
[32] 马晓妮,任宗萍,谢梦瑶,等.砒砂岩区植被覆盖度环境驱动因子量化分析: 基于地理探测器[J].生态学报,2022,42(8): 3389-3399.
[33] DENG Xiaojuan,HU Shi,ZHAN Chesheng.Attribution of vegetation coverage change to climate change and human activities based on the geographic detectors in the Yellow River Basin,China[J].Environmental Science and Pollution Research International,2022,29(29): 44693-44708.