基于归一化植被指数的艾比湖湿地国家级自然保护区自然植被保护恢复成效评估

doi:10.12118/j.issn.1000-6060.2025.002

干旱区地理 ›› 2025, Vol. 48 ›› Issue (10): 1828-1840.doi: 10.12118/j.issn.1000-6060.2025.002 cstr: 32274.14.ALG2025002

基于归一化植被指数的艾比湖湿地国家级自然保护区自然植被保护恢复成效评估

唐玉倩¹(), 马玉凤², 唐梦迎¹^,³^,⁴, 徐战江¹, 肖雨萱¹, 夏楠¹^,³^,⁴(), 马勇刚¹^,³^,⁴

1.新疆大学地理与遥感科学学院，新疆乌鲁木齐 830046
2.新疆艾比湖湿地国家级自然保护区管理局，新疆博乐 833400
3.新疆大学新疆绿洲生态自治区重点实验室，新疆乌鲁木齐 830046
4.自然资源部荒漠-绿洲生态监测与修复工程技术创新中心，新疆乌鲁木齐 830002

收稿日期:2025-01-03 修回日期:2025-02-04 出版日期:2025-10-25 发布日期:2025-10-27
通讯作者: 夏楠（1991-），男，副教授，主要从事干旱区生态环境遥感等方面的研究. E-mail: xn_gis@xju.edu.cn
作者简介:唐玉倩（2000-），女，硕士研究生，主要从事干旱区生态修复等方面的研究. E-mail: tyqtyq0228@163.com
基金资助:
吐哈盆地土地资源承载力与生态农业调查评估(2022xjkk11);新疆精河温带荒漠生态系统野外科学观测平台建设(PT2107)

Evaluation of the effectiveness of natural vegetation protection and restoration in Ebinur Lake Wetland National Nature Reserve based on normalized difference vegetation index

TANG Yuqian¹(), MA Yufeng², TANG Mengying¹^,³^,⁴, XU Zhanjiang¹, XIAO Yuxuan¹, XIA Nan¹^,³^,⁴(), MA Yonggang¹^,³^,⁴

1. College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, Xinjiang, China
2. Administration of Xinjiang Ebinur Lake Wetland National Nature Reserve, Bole 833400, Xinjiang, China
3. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, Xinjiang, China
4. Technology Innovation Center for Ecological Monitoring and Restoration of Desert-Oasis, MNR, Urumqi 830002, Xinjiang, China

Received:2025-01-03 Revised:2025-02-04 Published:2025-10-25 Online:2025-10-27

摘要/Abstract

摘要：

艾比湖湿地国家级自然保护区是中国西北干旱区重要的生态屏障，其植被保护成效评估对区域生态安全维护和生态文明建设具有重要意义。然而，当前缺乏对该保护区不同保护级别（设立前、自治区级及国家级）和内部典型区域（人类活动区或生态恢复区）的植被保护成效评估。基于1995—2022年归一化植被指数（Normalized difference vegetation index，NDVI），利用Mann-Kendall趋势检验、稳定性分析、地理探测器和Hurst指数等方法，对保护区植被恢复成效进行评估。结果表明：（1）保护区植被覆盖显著增加，退化区域仅占1.75%；植被覆盖稳定性呈现显著的空间异质性，其中相对较低波动和中等波动区域占主导地位。（2）保护区的设立对植被覆盖产生正向影响，植被改善程度呈现阶段式上升，升级为国家级自然保护区后，改善效果最为显著；然而植被恢复与人类活动的相互作用复杂，其改善程度可能与原始土地利用状况有关。土地利用类型是影响植被覆盖变化的主要驱动力，与其他影响因子交互作用时均表现出较强的影响力。（3） Hurst指数分析表明，保护区未来植被变化差异显著，50.26%的区域表现出反向持续性。其中，过去改善而未来可能退化的区域占据50.07%，需重点关注以上潜在退化区域，实施相应的保护措施。

关键词: 保护成效, NDVI, 趋势分析, 稳定性分析, 艾比湖湿地国家级自然保护区

Abstract:

Ebinur Lake Wetland National Nature Reserve is an important ecological barrier in the arid zone of northwest China; the assessment of the effectiveness of its vegetation protection is of great significance in the maintenance of regional ecological security and the construction of ecological civilization. However, there is a lack of assessment of the effectiveness of vegetation protection at different protection levels (pre-establishment, autonomous region level, and the national level) and typical areas (human activities area or ecological restoration area). Based on the normalized difference vegetation index (NDVI) from 1995 to 2022, the effectiveness of vegetation restoration in protected areas was evaluated using the Mann-Kendall trend test, stability analysis, geographic detector, and Hurst index. The results showed that: (1) The vegetation cover of the protected area increased significantly, and the degraded area only accounted for 1.75%; the stability showed obvious spatial heterogeneity, and the areas of relatively low fluctuation and medium fluctuation were widely distributed. (2) The protected area established has positively impacted the vegetation cover, and the degree of vegetation improvement showed a phased increase, with the most significant improvement occurring after upgrading to a national nature reserve. However, the interaction between vegetation restoration and human activities is complex, and the degree of improvement may be related to the original land use status. Land use type was the main driver of vegetation cover change and had a strong influence when interacting with other influencing factors. (3) Analysis of the Hurst index revealed significant future vegetation changes in the protected area, with 50.26% of the area showing reverse persistence. Overall, 50.07% of the areas that were improved in the past may be degraded in the future, and there is a need to focus on these potential areas of degradation and implement appropriate conservation measures.

Key words: protection effectiveness, NDVI, trend analysis, stability analysis, Ebinur Lake Wetland National Nature Reserve

唐玉倩, 马玉凤, 唐梦迎, 徐战江, 肖雨萱, 夏楠, 马勇刚. 基于归一化植被指数的艾比湖湿地国家级自然保护区自然植被保护恢复成效评估[J]. 干旱区地理, 2025, 48(10): 1828-1840.

TANG Yuqian, MA Yufeng, TANG Mengying, XU Zhanjiang, XIAO Yuxuan, XIA Nan, MA Yonggang. Evaluation of the effectiveness of natural vegetation protection and restoration in Ebinur Lake Wetland National Nature Reserve based on normalized difference vegetation index[J]. Arid Land Geography, 2025, 48(10): 1828-1840.

图/表 12

图1

表1

表2

图2

图3

图4

图5

图6

图7

图8

图9

图10

参考文献 43

[1]	刘景明, 丁建丽, 包青岭, 等. 基于同位素揭示艾比湖流域地下水特征[J]. 干旱区地理, 2023, 46(2): 201-210. doi: 10.12118/j.issn.1000－6060.2022.228
	[Liu Jingming, Ding Jianli, Bao Qingling, et al. Characteristics of groundwater in Ebinur Lake Basin using isotopes method[J]. Arid Land Geography, 2023, 46(2): 201-210.] doi: 10.12118/j.issn.1000－6060.2022.228
[2]	张子涵, 王瑾杰, 丁建丽, 等. 基于PLUS模型的艾比湖流域景观生态风险分析及预测[J]. 干旱区地理, 2025, 48(2): 308-322. doi: 10.12118/j.issn.1000-6060.2024.320
	[Zhang Zihan, Wang Jinjie, Ding Jianli, et al. Analysis and prediction of landscape ecological risk in Ebinur Lake Basin based on PLUS model[J]. Arid Land Geography, 2025, 48(2): 308-322.] doi: 10.12118/j.issn.1000-6060.2024.320
[3]	张洁, 吕光辉, 王恒方, 等. 艾比湖流域不同水盐环境植物多样性对生态系统多功能性的影响[J]. 植物资源与环境学报, 2021, 30(4): 22-30.
	[Zhang Jie, Lü Guanghui, Wang Hengfang, et al. Effect of plant diversity on ecosystem multifunctionality in different water-salt environments of Ebinur Lake Basin[J]. Journal of Plant Resources and Environment, 2021, 30(4): 22-30.]
[4]	Deng G Y, Gao J, Jiang H B, et al. Response of vegetation variation to climate change and human activities in semi-arid swamps[J]. Frontiers in Plant Science, 2022, 13: 990592, doi: 10.3389/fpls.2022.990592.
[5]	李江, 张宗亮, 岳春芳. 艾比湖演化特征与生态修复对策思考[J]. 水利规划与设计, 2023(1): 75-81, 100.
	[Li Jiang, Zhang Zongliang, Yue Chunfang. Evolutionary characteristics of Ebinur Lake and countermeasures for ecological restoration[J]. Water Resources Planning and Design, 2023(1): 75-81, 100.]
[6]	布威阿依谢姆·吐合提, 阿布都热合曼·哈力克, 姚凯旋, 等. 艾比湖流域LUCC驱动的碳储量时空动态特征与多情景预测[J]. 华侨大学学报(自然科学版), 2024, 45(4): 501-513.
	[Tuheti Buweiayxiemu, Halike Abudureheman, Yao Kaixuan, et al. Spatio-temporal dynamies characteristic and multi-scenario prediction of carbon storage driven by LUCC in Ebinur Lake Basin[J]. Journal of Huaqiao University (Natural Science Edition), 2024, 45(4): 501-513.]
[7]	地丽胡玛·阿吉, 常娜娜, 杜菲, 等. 艾比湖微生物多样性及其功能分析[J]. 新疆大学学报(自然科学版)(中英文), 2022, 39(6): 720-726.
	[Aji Dilihuma, Chang Nana, Du Fei, et al. Microbial diversity and function analysis in Ebinur Lake[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2022, 39(6): 720-726.]
[8]	蔺卿, 陈明, 王迎春, 等. 基于生态修复的艾比湖流域生态需水研究[J]. 水利规划与设计, 2022(7): 14-18.
	[Lin Qing, Chen Ming, Wang Yingchun, et al. Study on ecological water demand in Ebinur Lake Basin based on ecological restoration[J]. Water Resources Planning and Design, 2022(7): 14-18.]
[9]	郝帅, 李发东, 李艳红, 等. 基于氢氧稳定同位素的艾比湖流域地表水与地下水转化关系[J]. 水土保持学报, 2021, 35(4): 172-177, 85.
	[Hao Shuai, Li Fadong, Li Yanhong, et al. Transformation between surface water and groundwater in Ebinur Lake Basin based on hydrogen and oxygen stable isotopes[J]. Journal of Soil and Water Conservation, 2021, 35(4): 172-177, 85.]
[10]	曹家睿, 陈蜀江, 范贺娟, 等. 艾比湖湖滨隐域性植被与地带性植被交错带土壤盐分对水域面积变化的响应[J]. 西南农业学报, 2021, 34(4): 862-871.
	[Cao Jiarui, Chen Shujiang, Fan Hejuan, et al. Response of soil salinity to change of water area in crisscross between foreshore vegetation and zonal vegetation in Aibi Lake[J]. Southwest China Journal of Agricultural Sciences, 2021, 34(4): 862-871.]
[11]	喀迪阿依·阿力木, 玉素甫江·如素力, 肉克亚木·艾克木, 等. 2001—2017年艾比湖流域积雪时空变化及其驱动因子分析[J]. 生态科学, 2023, 42(3): 127-135.
	[Alimu Kadiay, Rusulil Yusufujiang, Aikemul Roukeyamu, et al. Temporal and spatial changes of snow cover in the Ebinur Lake Basin from 2001 to 2017 and analysis of its driving factors[J]. Ecological Science, 2023, 42(3): 127-135.]
[12]	Xia N, Tang Y Q, Tang M Y, et al. Monitoring and evaluation of vegetation restoration in the Ebinur Lake Wetland National Nature Reserve under lockdown protection[J]. Frontiers in Plant Science, 2024, 15: 1332788, doi: 10.3389/fpls.2024.1332788.
[13]	江波, 王晓媛, 杨梦斐, 等. 生态系统服务研究在生态红线政策保护成效评估中的应用[J]. 生态学报, 2019, 39(9): 3365-3371.
	[Jiang Bo, Wang Xiaoyuan, Yang Mengfei, et al. Application of ecosystem services research on a protection effectiveness evaluation of the ecological redline policy[J]. Acta Ecologica Sinica, 2019, 39(9): 3365-3371.]
[14]	董庆栋, 陈超男, 李艳红, 等. 基于NPP和人类扰动指数评估河南伏牛山地区国家级自然保护区群保护成效与溢出/泄漏效应[J]. 生物多样性, 2023, 31(5): 102-113.
	[Dong Qingdong, Chen Chaonan, Li Yanhong, et al. Assessing the protection effectiveness and spillover/leakage effects of the national nature reserve group of Funiu Mountain area in Henan Province based on the NPP and human disturbance index[J]. Biodiversity Science, 2023, 31(5): 102-113.]
[15]	陈远. 内蒙古罕山国家级自然保护区保护成效研究[J]. 乡村科技, 2024, 15(13): 125-128.
	[Chen Yuan. Study on the conservation effectiveness of Hanshan National Nature Reserve in Inner Mongolia[J]. Rural Science and Technology, 2024, 15(13): 125-128.]
[16]	刘方正, 张建亮, 王亮, 等. 甘肃安西极旱荒漠国家级自然保护区南片植被长势与保护成效[J]. 生态学报, 2016, 36(6): 1582-1590.
	[Liu Fangzheng, Zhang Jianliang, Wang Liang, et al. Vegetation growth and conservation efficacy assessment in the southern part of the Gansu Anxi National Nature Reserve in Hyper-Arid Desert[J]. Acta Ecologica Sinica, 2016, 36(6): 1582-1590.]
[17]	Li J, Wang J L, Zhang J, et al. Growing-season vegetation coverage patterns and driving factors in the China-Myanmar Economic Corridor based on Google Earth Engine and geographic detector[J]. Ecological Indicators, 2022, 136: 108620, doi: 10.1016/j.ecolind.2022.108620.
[18]	钟超慧, 陈甲豪, 杨涵, 等. 基于核归一化植被指数数据的中国西部四省自然保护区保护成效评估[J]. 生态学报, 2025, 45(3): 1199-1209.
	[Zhong Chaohui, Chen Jiahao, Yang Han, et al. Assessment of conservation effectiveness in nature reserves of four provinces in western China based on kernel normalized difference vegetation index data[J]. Acta Ecologica Sinica, 2025, 45(3): 1199-1209.]
[19]	Matas-Granados L, Pizarro M, Cayuela L, et al. Long-term monitoring of NDVI changes by remote sensing to assess the vulnerability of threatened plants[J]. Biological Conservation, 2022, 265: 109428, doi: 10.1016/j.biocon.2021.109428.
[20]	陈宸, 许玉凤. 天山北坡经济带稳定草地净初级生产力时空变化特征及其驱动力[J]. 草业科学, 2023, 40(5): 1154-1167.
	[Chen Chen, Xu Yufeng. Temporal and spatial variation characteristics and driving forces of stable grassland net primary productivity in the northern slope of Tianshan Mountains economic zone[J]. Pratacultural Science, 2023, 40(5): 1154-1167.]
[21]	尼亚孜海尼木·肖开提江, 马倩, 包安明, 等. 基于地理探测器的艾比湖流域生态脆弱性评价及驱动力分析[J]. 水生态学杂志, 2024, 45(6): 18-27.
	[Xiaokaitijiang Niyazihainimu, Ma Qian, Bao Anming, et al. Ecological vulnerability evaluation and driving force analysis of the Ebinur Lake Basin[J]. Journal of Hydroecology, 2024, 45(6): 18-27.]
[22]	希丽娜依·多来提, 阿里木江·卡斯木, 如克亚·热合曼, 等. 基于四种水体指数的艾比湖水面提取及时空变化分析[J]. 长江科学院院报, 2022, 39(10): 134-140. doi: 10.11988/ckyyb.20210634
	[Duolaiti Xilinayi, Kasim Alim, Reheman Rukeya, et al. Water body extraction of Ebinur Lake based on four water indexes and analysis of spatial-temporal changes[J]. Journal of Yangtze River Scientific Research Institute, 2022, 39(10): 134-140.] doi: 10.11988/ckyyb.20210634
[23]	程久菊, 张雪妮, 张子洋, 等. 艾比湖不同水盐环境荒漠植物种间关联格局下的叶片功能性状差异分析[J]. 植物资源与环境学报, 2022, 31(3): 18-25.
	[Cheng Jiuju, Zhang Xueni, Zhang Ziyang, et al. Analysis on differences in leaf functional traits of desert plants under interspecifie association pattern in different water-salt environments of Ebinur Lake[J]. Journal of Plant Resources and Environment, 2022, 31(3): 18-25.]
[24]	郝帅, 李发东. 艾比湖流域典型荒漠植被水分利用来源研究[J]. 地理学报, 2021, 76(7): 1649-1661. doi: 10.11821/dlxb202107006
	[Hao Shuai, Li Fadong. Water sources of the typical desert vegetation in Ebinur Lake Basin[J]. Acta Geographica Sinica, 2021, 76(7): 1649-1661.] doi: 10.11821/dlxb202107006
[25]	Militino A F, Moradi M, Ugarte M D. On the performances of trend and change-point detection methods for remote sensing data[J]. Remote Sensing, 2020, 12(6): 1008, doi: 10.3390/rs12061008.
[26]	Singh R N, Sah S, Das B, et al. Innovative trend analysis of spatio-temporal variations of rainfall in India during 1901—2019[J]. Theoretical and Applied Climatology, 2021, 145(1-2): 821-838.
[27]	邓兴耀, 姚俊强, 刘志辉. 基于GIMMS NDVI的中亚干旱区植被覆盖时空变化[J]. 干旱区研究, 2017, 34(1): 10-19.
	[Deng Xingyao, Yao Junqiang, Liu Zhihui. Spatiotemporal dynamic change of vegetation coverage in arid regions in Central Asia based on GIMMS NDVI[J]. Arid Zone Research, 2017, 34(1): 10-19.]
[28]	钟旭珍, 王金亮, 邓云程, 等. 怒江-萨尔温江流域植被覆盖时空变化趋势及驱动力[J]. 生态学报, 2023, 43(24): 10182-10201.
	[Zhong Xuzhen, Wang Jinliang, Deng Yuncheng, et al. Spatio-temporal variation and driving forces of vegetation cover in the Nujiang-Salween River Basin[J]. Acta Ecologica Sinica, 2023, 43(24): 10182-10201.]
[29]	Wang G J, Peng W F, Zhang L D, et al. Quantifying the impacts of natural and human factors on changes in NPP using an optimal parameters-based geographical detector[J]. Ecological Indicators, 2023, 155: 111018, doi: 10.1016/j.ecolind.2023.111018.
[30]	Peng W F, Kuang T T, Tao S. Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China[J]. Journal of Cleaner Production, 2019, 233: 353-367.
[31]	Wang G J, Peng W F. Quantifying spatiotemporal dynamics of vegetation and its differentiation mechanism based on geographical detector[J]. Environmental Science and Pollution Research, 2022, 29(21): 32016-32031.
[32]	陈妍, 周妍, 包岩峰, 等. 山水林田湖草沙一体化保护和修复工程综合成效评估技术框架[J]. 生态学报, 2023, 43(21): 8894-8902.
	[Chen Yan, Zhou Yan, Bao Yanfeng, et al. A technical framework for effectiveness evaluation of holistically ecological conservation and restoration project of mountains, rivers, forests, farmlands, grasslands, and deserts[J]. Acta Ecologica Sinica, 2023, 43(21): 8894-8902.]
[33]	罗健梅, 阿布都热合曼·哈力克, 段越帆, 等. 艾比湖流域植被NPP时空演变特征及其驱动因素分析[J]. 生态学报, 2025, 45(1): 182-196.
	[Luo Jianmei, Halike Abudureheman, Duan Yuefan, et al. Spatiotemporal dynamics and driving factors of net primary productivity in the Ebinur Lake Basin[J]. Acta Ecologica Sinica, 2025, 45(1): 182-196.]
[34]	任立清. 艾比湖流域植被时空变化及驱动力分析[J]. 干旱区地理, 2022, 45(2): 467-477. doi: 10.12118/j.issn.1000–6060.2021.199
	[Ren Liqing. Spatiotemporal change and driving force of vegetation in Ebinur Lake Basin[J]. Arid Land Geography, 2022, 45(2): 467-477.] doi: 10.12118/j.issn.1000–6060.2021.199
[35]	赵坤成, 张永福, 朱小强, 等. 2000—2014年艾比湖NDVI变化及其与降水、温度响应关系[J]. 广东农业科学, 2017, 44(9): 82-88.
	[Zhao Kuncheng, Zhang Yongfu, Zhu Xiaoqiang, et al. NDVI changes in Ebinur Basin from 2000 to 2014 and its response relation to precipitation and temperature[J]. Guangdong Agricultural Sciences, 2017, 44(9): 82-88.]
[36]	雷小牛, 李宏健, 刘艳红, 等. 新疆艾比湖流域生态环境保护修复治理的基本思路及对策[J]. 水利发展研究, 2023, 23(5): 38-48.
	[Lei Xiaoniu, Li Hongjian, Liu Yanhong, et al. Basic ideas and measures of ecological environment protection, restoration and governance in Ebinur Lake Basin in Xinjiang[J]. Water Resources Development Research, 2023, 23(5): 38-48.]
[37]	Hu P L, Zhang W, Chen H S, et al. Soil carbon accumulation with increasing temperature under both managed and natural vegetation restoration in calcareous soils[J]. Science of the Total Environment, 2021, 767: 145298, doi: 10.1016/j.scitotenv.2021.145298.
[38]	Bustamante M M C, Silva J S, Scariot A, et al. Ecological restoration as a strategy for mitigating and adapting to climate change: Lessons and challenges from Brazil[J]. Mitigation and Adaptation Strategies for Global Change, 2019, 24(7): 1249-1270. doi: 10.1007/s11027-018-9837-5
[39]	Li R R, Zhang W J, Yang S Q, et al. Topographic aspect affects the vegetation restoration and artificial soil quality of rock-cut slopes restored by external-soil spray seeding[J]. Scientific Reports, 2018, 8: 12109, doi: 10.1038/s41598-018-30651-y. pmid: 30108289
[40]	Hu P L, Xiao J, Zhang W, et al. Response of soil microbial communities to natural and managed vegetation restoration in a subtropical karst region[J]. Catena, 2020, 195: 104849, doi: 10.1016/j.catena.2020.104849.
[41]	Wang M M, Shao Y H, Zhang W X, et al. Secondary succession increases diversity and network complexity of soil microbial communities in subtropical and temperate forests[J]. Catena, 2025, 249: 108662, doi: 10.1016/j.catena.2024.108662.
[42]	Nie T, Dong G T, Jiang X H, et al. Spatio-temporal changes and driving forces of vegetation coverage on the Loess Plateau of northern Shaanxi[J]. Remote Sensing, 2021, 13(4): 613, doi: 10.3390/rs13040613.
[43]	王璐, 丁建丽. 艾比湖保护区荒漠植被时空过程变化及其植被指数影响因素分析[J]. 草业学报, 2015, 24(5): 4-11. doi: 10.11686/cyxb20150502
	[Wang Lu, Ding Jianli. Vegetation index feature change and its influencing factors and spatial-temporal process analysis of desert grassland in the Ebinur Lake Nature Reserve, Xinjiang[J]. Acta Prataculturae Sinica, 2015, 24(5): 4-11.] doi: 10.11686/cyxb20150502

斜率（Slope）范围	Hurst范围	未来趋势
Slope>0	Hurst>0.5	持续改善
Slope>0	Hurst<0.5	改善到退化
Slope<0	Hurst>0.5	持续退化
Slope<0	Hurst<0.5	退化到改善

依据	交互作用
$ q\left(X_{1} \cap X_{2}\right)<\operatorname{Min}\left[q\left(X_{1}\right), q\left(X_{2}\right)\right]$	非线性减弱
$ \operatorname{Min}\left[q\left(X_{1}\right), q\left(X_{2}\right)\right]<q\left(X_{1} \cap X_{2}\right)<\operatorname{Max}\left[q\left(X_{1}\right), q\left(X_{2}\right)\right]$	单因子非线性减弱
$ q\left(X_{1} \cap X_{2}\right)>\operatorname{Max}\left[q\left(X_{1}\right), q\left(X_{2}\right)\right]$	双因子增强
$ q\left(X_{1} \cap X_{2}\right)=q\left(X_{1}\right)+q\left(X_{2}\right)$	独立
$ q\left(X_{1} \cap X_{2}\right)>q\left(X_{1}\right)+q\left(X_{2}\right)$	非线性增强

基于归一化植被指数的艾比湖湿地国家级自然保护区自然植被保护恢复成效评估

Evaluation of the effectiveness of natural vegetation protection and restoration in Ebinur Lake Wetland National Nature Reserve based on normalized difference vegetation index

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 43

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	史继清, 罗珍, 益西卓玛, 刘赛, 李积宏, 旦增益嘎, 甘臣龙. 气候变化及新四季划分方法下的西藏季节变化趋势分析[J]. 干旱区地理, 2025, 48(7): 1141-1152.
[2]	宋小龙, 李陇堂, 任婕, 吴月, 王鹏, 米文宝, 马明德. 西北干旱生态地理区NDVI时空变化特征及其驱动力[J]. 干旱区地理, 2025, 48(6): 951-962.
[3]	邹翔, 张雨婷, 徐璐. 2000—2022年呼伦贝尔植被覆盖时空动态及其对气候因子的响应[J]. 干旱区地理, 2025, 48(6): 963-972.
[4]	王瑞芳, 吕宝奇, 张文静. 黄河流域植被动态及其对气候变化的响应——基于气候干湿分区尺度[J]. 干旱区地理, 2025, 48(6): 973-984.
[5]	黄学煜, 修丽娜, 陆志翔. 陇东黄土高原生态系统服务权衡效应及其驱动因素[J]. 干旱区地理, 2025, 48(3): 480-493.
[6]	李康宁, 林伊琳, 赵俊三, 王健, 葛峰. 三江源植被覆盖变化驱动机制及生态脆弱性分析[J]. 干旱区地理, 2025, 48(2): 283-295.
[7]	张海东, 李崇博, 孟李奇, 阿地来·赛提尼亚孜, 巨喜锋. 喀什三角洲NDVI演变特征及其对气候的响应[J]. 干旱区地理, 2025, 48(2): 296-307.
[8]	张晓东, 马风华, 赵志鹏, 武丹, 马玉学, 吉卫波, 公亮. 宁夏中部荒漠草原防沙治沙区NDVI时空演化特征及其对气候因素的响应[J]. 干旱区地理, 2025, 48(10): 1804-1814.
[9]	常文静, 丛士翔, 王融融, 丁旭东, 余海龙, 黄菊莹. 气候变化和人类活动对毛乌素沙地NDVI变化的量化分析[J]. 干旱区地理, 2025, 48(1): 63-74.
[10]	周孝明, 张喆, 张越, 王俣凝. 基于TVDI的近20 a吐鲁番市干旱及影响因素分析[J]. 干旱区地理, 2024, 47(12): 2104-2114.
[11]	杨晓玲, 丁文魁, 周华, 李岩瑛, 陈海贝. 石羊河流域归一化植被指数变化及其驱动因子分析[J]. 干旱区地理, 2024, 47(10): 1735-1744.
[12]	张港栋, 包刚, 黄晓君, 元志辉, 温都日娜. 蒙古国冬春季气候非对称变暖及其对植被返青期和春季NDVI的影响[J]. 干旱区地理, 2023, 46(8): 1238-1249.
[13]	艾丽亚, 王永芳, 郭恩亮, 银山, 顾锡羚. 基于GEE的大青山国家级自然保护区NDVI变化及影响因素分析[J]. 干旱区地理, 2023, 46(8): 1279-1290.
[14]	罗嘉艳, 张靖, 徐梦冉, 莫宇, 同丽嘎. 浑善达克沙地植被变化定量归因及多情景预测[J]. 干旱区地理, 2023, 46(4): 614-624.
[15]	邓甜甜, 耿广坡, 杨睿, 张保. 1980—2020年渭河流域高温热浪时空变化特征[J]. 干旱区地理, 2023, 46(2): 211-221.