江苏省基础地理信息中心
纸质出版:2025
移动端阅览
孙长奎. 2010—2022年江苏省植被覆盖变化特征与驱动力分析[J]. 地理空间信息, 2025,23(9):48-53.
孙长奎. 2010—2022年江苏省植被覆盖变化特征与驱动力分析[J]. 2025, 23(9): 48-53.
基于2010—2022年的MODIS-NDVI数据和相关气象数据,采用一元线性趋势回归分析、变异系数、相关性分析、残差趋势分析等方法研究了江苏省NDVI的时空分布特征,分析了气象因素和人类活动对NDVI变化的影响。结果表明:(1)江苏省多年月均NDVI变化呈双峰模式,植被覆盖表现出显著的地域差异和季节特性;(2)气温和降雨量的变化促进了多数地区的植被生长,其中气温对NDVI变化起决定性作用;(3)人类活动促进了江苏省植被生态的良性发展,对植被分布的影响呈波动性减弱趋势。适宜的气温和降雨条件以及合理的人类活动有助于植被覆盖度的增加,江苏省应关注极端天气变化、优化人类活动模式,以促进区域生态环境的良性循环。
Gao Xiang,Huang Xingxing,Lo Kevin,Dang Qianwen,Wen Ruiyang.Vegetation responses to climate change in the Qilian Mountain Nature Reserve, Northwest China[J].Global Ecology and Conservation,2021.
Fan Yeting,Gan Le,Hong Changqiao,Jessup Laura H.,Jin Xiaobin,Pijanowski Bryan C.,Sun Yan,Lv Ligang.Spatial identification and determinants of trade-offs among multiple land use functions in Jiangsu Province, China[J].Science of the Total Environment,2021.
Shouzhang Peng,Yongxia Ding,Wenzhao Liu,Zhi Li.1km monthly temperature and precipitation dataset for China from 1901 to 2017[J].Earth System Science Data,2019.
Hongshuai Chu,Sergey Venevsky,Chao Wu,Menghui Wang.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,2018.
Christopher J. Jarchow,Kamel Didan,Armando Barreto-Muñoz,Pamela L. Nagler,Edward P. Glenn.Application and Comparison of the MODIS-Derived Enhanced Vegetation Index to VIIRS, Landsat 5 TM and Landsat 8 OLI Platforms: A Case Study in the Arid Colorado River Delta, Mexico[J].Sensors,2018.
Peilong Liu,Lu Hao,Cen Pan,Decheng Zhou,Yongqiang Liu,Ge Sun.Combined effects of climate and land management on watershed vegetation dynamics in an arid environment[J].Science of the Total Environment,2017.
Ying Zhang,Chaobin Zhang,Zhaoqi Wang,Yizhao Chen,Chengcheng Gang,Ru An,Jianlong Li.Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source Region, China from 1982 to 2012[J].Science of the Total Environment,2016.
Chao Li,Ningsheng Huang,Yaoqiu Kuang,Chao Zhang.The Long-Term Relationship between Population Growth and Vegetation Cover: An Empirical Analysis Based on the Panel Data of 21 Cities in Guangdong Province, China[J].International Journal of Environmental Research and Public Health,2013.
Jason Evans,Roland Geerken.Discrimination between climate and human-induced dryland degradation[J].Journal of Arid Environments,2004.
K.J Wessels,S.D Prince,P.E Frost,D van Zyl.Assessing the effects of human-induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time-series[J].Remote Sensing of Environment,2004.
刘宇,田济扬,黄婷婷,贾志峰,关荣浩,马孝义.长江流域NDVI变化及其驱动因素分析[J].地理科学,2023(06).
向珈瑶,彭文甫,陶帅,银盈,刘华山.2000—2019年四川省植被恢复成效与影响因素[J].生态学报,2023(04).
马超,崔珍珍,李婷婷,彭杨钊.中国“平原-山地”地形过渡带NDVI时空变异与气候响应[J].生态学报,2023(05).
郑颖娟,刘军会,刘洋,马苏,周甲男.2000—2018年鄂尔多斯市植被覆盖度变化及驱动因素分析[J].环境科学研究,2022(11).
余晨渝,肖作林,刘睿,赵浣玎,王科宇.人类活动对西南山地植被覆盖变化的影响——以重庆市为例[J].生态学报,2022(17).
惠品宏,陈燕,杨杰,韦芬芬,鲁明欣宇.针对江苏省气温和降水的高分辨率降尺度模拟及预估[J].气象科学,2022(04).
徐雯,管永祥,陈震.江苏省耕地轮作休耕实施成效与发展趋势[J].中国农技推广,2022(01).
段群滔,罗立辉.人类活动强度空间化方法综述与展望——以青藏高原为例[J].冰川冻土,2021(05).
殷崎栋,柳彩霞,田野.基于MODIS NDVI数据的陕西省植被绿度时空变化及人类活动影响[J].生态学报,2021(04).
杜佳梦,包刚,佟斯琴,黄晓君,温都日娜,美丽,包玉海.1982-2015年蒙古国植被覆盖变化及其与气候变化和人类活动的关系[J].草业学报,2021(02).
Xiaocha WEI,Qiuwen ZHOU,Ya LUO,Mingyong CAI,Xu ZHOU,Weihong YAN,Dawei PENG,Ji ZHANG.Vegetation dynamics and its response to driving factors in typical karst regions, Guizhou Province, China[J].Frontiers of Earth Science,2021(01).
周岩,刘世梁,谢苗苗,孙永秀,安毅.人类活动干扰下区域植被动态变化——以西双版纳为例[J].生态学报,2021(02).
王家录,李维杰,王勇,任娟,高敏.2005-2014年重庆石漠化地区NDVI的时空变化及其与气候因子相关性分析[J].水土保持研究,2021(02).
杨俊博,田锴,吴传万,蔡溯林,田兴军.江苏植被的分布现状、驱动力及保护建议[J].中国科学:生命科学,2021(03).
徐勇,奚砚涛.江苏省植被覆盖动态变化及其与气候因子的关系[J].水土保持通报,2015(04).
曹磊,谢飞,吴颖超,王震,张娜娜,赵言文.江苏省NDVI时空变化特征及其与气候因子的关系[J].水土保持通报,2015(02).
张戈丽,徐兴良,周才平,张宏斌,欧阳华.近30年来呼伦贝尔地区草地植被变化对气候变化的响应[J].地理学报,2011(01).
赵哈林,大黑俊哉,周瑞莲,李玉霖,左小安,黄刚.人类活动与气候变化对科尔沁沙质草地植被的影响[J].地球科学进展,2008(04).
0
浏览量
195
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621