祁连山南坡植被绿度时空变化及其对气候变化和人类活动的响应

doi:10.13866/j.azr.2024.12.15

干旱区研究 ›› 2024, Vol. 41 ›› Issue (12): 2143-2153.doi: 10.13866/j.azr.2024.12.15 cstr: 32277.14.AZR.20241215

祁连山南坡植被绿度时空变化及其对气候变化和人类活动的响应

张倩¹^,²(), 曹广超¹^,²^,³(), 张乐乐¹^,², 赵美亮¹^,²

1.青海师范大学青藏高原地表过程与生态保育教育部重点实验室，青海西宁 810008
2.青海师范大学地理科学学院，青海省自然地理与环境过程重点实验室，青海西宁 810008
3.青海省人民政府-北京师范大学高原与可持续发展研究院，青海西宁 810008

收稿日期:2024-04-21 修回日期:2024-10-14 出版日期:2024-12-15 发布日期:2024-12-20
通讯作者: 曹广超. E-mail: caoguangchao@qhnu.edu.cn
作者简介:张倩（1998-），女，硕士研究生，主要从事遥感与地理信息系统应用. E-mail: 18309740663@163.com
基金资助:
青海省自然科学基金项目(2023-ZJ-907M)

Spatiotemporal changes in vegetation greenness on the southern slopes of the Qilian Mountains and their responses to climate change and human activities

ZHANG Qian¹^,²(), CAO Guangchao¹^,²^,³(), ZHANG Lele¹^,², ZHAO Meiliang¹^,²

1. Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Ministry of Education, Qinghai Normal University, Xining 810008, Qinghai, China
2. Qinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, Qinghai, China
3. Academy of Plateau Science and Sustainability, People’s Government of Qinghai Province and Beijing Normal University, Xining 810008, Qinghai, China

Received:2024-04-21 Revised:2024-10-14 Published:2024-12-15 Online:2024-12-20

摘要/Abstract

摘要：

为探究祁连山南坡植被绿度时空变化及其对气候变化和人类活动的响应，基于GEE平台，利用算法和遥感技术，通过Sen趋势、变异系数、Hurst指数、ArcGIS空间分析以及多元回归残差等分析方法，整合多源数据产品全面解析祁连山南坡植被绿度变化的时空特征，并综合评估其未来变化趋势及稳定性，在此基础上深入探讨气候变化和人类活动对植被绿度的影响程度。结果显示：（1） 2001—2020年祁连山南坡的植被绿度总体呈上升趋势，且空间差异性显著。从稳定性分析来看，其变异系数介于0~0.84，均值为0.09，植被绿度的变化总体上处于相对稳定的状态，并且其展现出向好的态势。（2）在影响因素方面，降水和气温均与植被绿度呈正向促进关系，其中与气温的相关性更为显著，并且通过显著性检验的区域占研究区的95.7%，表明气温对植被绿度变化起主要促进作用。（3）人类活动对植被绿度的变化起到了积极的推动作用。整体来看，植被绿度的变化是气候变化和人类活动共同作用的结果，其中气候变化和人类活动对研究区植被绿度的相对贡献率分别为36.68%和63.32%，人类活动的相对贡献率大于气候变化，这与实施的生态工程密切相关。

关键词: 植被绿度, 时空变化, 气候变化, 人类活动, 祁连山南坡

Abstract:

In this study, we investigated the spatiotemporal changes in vegetation greenness on the southern slopes of the Qilian Mountains and their responses to climate change and human activities. Utilizing the Google Earth Engine platform, we applied algorithms and remote sensing technologies to analyze these changes. By employing Sen’s trend analysis, the coefficient of variation, the Hurst index, ArcGIS spatial analysis, and multiple residual regression methods, we integrated multisource data products to comprehensively analyze the characteristics of vegetation greenness changes. Additionally, we assessed future trends and stability while thoroughly examining the influences of climate change and human activities. The results indicated the following: (1) From 2001 to 2020, vegetation greenness on the southern slope of the Qilian Mountains exhibited an overall upward trend, accompanied by significant spatial variations. Stability analysis revealed that the coefficient of variation ranged from 0 to 0.84, with a mean of 0.09, indicating that changes in vegetation greenness remained relatively stable and exhibited a positive trend. (2) Regarding influencing factors, both precipitation and temperature exhibited a positive correlation with vegetation greenness, with temperature showing a more pronounced effect. Notably, 95.7% of the study area passed the significance test, highlighting that temperature primarily drives changes in vegetation greenness. (3) Human activities have positively influenced changes in vegetation greenness. Overall, these changes result from the combined effects of climate change and human activities, with relative contribution rates of 36.68% for climate change and 63.32% for human activities. The higher contribution rate of human activities is closely linked to the implementation of ecological engineering initiatives.

Key words: vegetation greenness, spatiotemporal change, climate change, human activities, southern slopes of the Qilian Mountains

张倩, 曹广超, 张乐乐, 赵美亮. 祁连山南坡植被绿度时空变化及其对气候变化和人类活动的响应[J]. 干旱区研究, 2024, 41(12): 2143-2153.

ZHANG Qian, CAO Guangchao, ZHANG Lele, ZHAO Meiliang. Spatiotemporal changes in vegetation greenness on the southern slopes of the Qilian Mountains and their responses to climate change and human activities[J]. Arid Zone Research, 2024, 41(12): 2143-2153.

图/表 14

图1

表1

植被绿度变化的驱动因素判定标准及相对贡献率计算方法"

$s l o p e （ N D V I o b s ）$	驱动因素	驱动因素判定标准		驱动因素的贡献率/%
$s l o p e （ N D V I o b s ）$	驱动因素	$s l o p e （ N D V I C C ）$	$s l o p e （ N D V I H A ）$	气候变化	人类活动
>0	CC&HA	>0	>0	$s l o p e (N D V I C C) s l o p e (N D V I o b s)$	$s l o p e (N D V I H A) s l o p e (N D V I o b s)$
>0	CC	>0	<0	100	0
>0	HA	<0	>0	0	100
<0	CC&HA	<0	<0	$s l o p e (N D V I C C) s l o p e (N D V I o b s)$	$s l o p e (N D V I H A) s l o p e (N D V I o b s)$
<0	CC	<0	>0	100	0
<0	HA	>0	<0	0	100

表1

图2

图3

图4

表2

图5

表3

图6

图7

图8

图9

表4

图10

参考文献 37

[1]	李慧, 魏兴萍, 蔡云丽, 等. 重庆石漠化和非石漠化区植被绿度时空变化特征[J]. 水土保持学报, 2024, 38(3): 288-297.
	[Li Hui, Wei Xingping, Cai Yunli, et al. Spatial and temporal variation characteristics of vegetation greenness in rocky desertification and non-rocky desertification areas of Chongqing[J]. Journal of Soil and Water Conservation, 2024, 38(3): 288-297. ]
[2]	曹晓云, 祝存兄, 陈国茜, 等. 2000—2021年柴达木盆地地表绿度变化及地形分异研究[J]. 生态环境学报, 2022, 31(6): 1080-1090. doi: 10.16258/j.cnki.1674-5906.2022.06.002
	[Cao Xiaoyun, Zhu Cunxiong, Chen Guoqian, et al. Surface greenness change and topographic differentiation over Qaidam Basin from 2000 to 2021[J]. Ecology and Environmental Sciences, 2022, 31(6): 1080-1090. ]
[3]	杨航, 马彩虹, 滑雨琪, 等. 宁夏草地绿度时空变化图谱及驱动因素分析[J]. 水土保持研究, 2024, 31(2): 228-239.
	[Yang Hang, Ma Caihong, Hua Yuqi, et al. Spatiotemporal variation atlas of grassland greenness in Ningxia and its driving factors[J]. Research on Soil and Water Conservation, 2024, 31(2): 228-239. ]
[4]	张宇, 余振, 栾军伟, 等. 1982—2020年东北森林带植被绿度时空变化特征[J]. 生态学报, 2023, 43(16): 6670-6681.
	[Zhang Yu, Yu Zhen, Luan Junwei, et al. Spatiotemporal variations of vegetation greenness in the forest belt of Northeast China during 1982-2020[J]. Acta Ecologica Sinica, 2023, 43(16): 6670-6681. ]
[5]	朱玉英, 张华敏, 丁明军, 等. 青藏高原植被绿度变化及其对干湿变化的响应[J]. 植物生态学报, 2023, 47(1): 51-64. doi: 10.17521/cjpe.2021.0500
	[Zhu Yuying, Zhang Huamin, Ding Mingjun, et al. Changes of vegetation greenness and its response to drought-wet variation on the Qingzang Plateau[J]. Chinese Journal of Plant Ecology, 2023, 47(1): 51-64. ] doi: 10.17521/cjpe.2021.0500
[6]	董庆栋, 陈超男, 殷浩然, 等. 秦巴山地植被绿度特征及其对地表水热的响应[J]. 生态学报, 2023, 43(3): 1090-1101.
	[Dong Qingdong, Chen Chaonan, Yin Haoran, et al. Vegetation greenness characteristics in the Qinling-Daba Mountains and its response to surface hydrothermal[J]. Acta Ecologica Sinica, 2023, 43(3): 1090-1101. ]
[7]	邬瑞鑫, 蒙仲举, 孟芮冰, 等. 1987—2022年库布齐沙漠沙化土地时空动态及趋势预测[J]. 地理科学, 2024, 44(8): 1448-1458. doi: 10.13249/j.cnki.sgs.20230780
	[Wu Ruixin, Meng Zhongju, Meng Ruibing, et al. Spatial-temporal dynamics and trend prediction of desertification land in the Hobq desert from 1987 to 2022[J]. Scientia Geographica Sinica, 2024, 44(8): 1448-1458. ] doi: 10.13249/j.cnki.sgs.20230780
[8]	张巧凤, 于红博, 黄方. 蒙古高原干旱时空特征及对植被物候的累积影响[J]. 干旱区研究, 2024, 41(9): 1548-1559. doi: 10.13866/j.azr.2024.09.11
	[Zhang Qiaofeng, Yu Hongbo, Huang Fang. The spatiotemporal dynamics of drought and the cumulative impact on vegetation phenology in the Mongolian Plateau[J]. Arid Zone Research, 2024, 41(9): 1548-1559. ] doi: 10.13866/j.azr.2024.09.11
[9]	吴思源, 郝利娜. 2001—2021年黄河流域植被覆盖变化及其驱动因素[J]. 干旱区研究, 2024, 41(8): 1373-1384. doi: 10.13866/j.azr.2024.08.11
	[Wu Siyuan, Hao Lina. Changes in vegetation cover and driving factors in the Yellow River Basin from 2001 to 2021[J]. Arid Zone Research, 2024, 41(8): 1373-1384. ] doi: 10.13866/j.azr.2024.08.11
[10]	史天艺, 张萌萌, 蒲阳, 等. 毛乌素沙地植被NDVI动态及对降水的多时空响应[J]. 干旱区研究, 2024, 41(8): 1395-1404. doi: 10.13866/j.azr.2024.08.13
	[Shi Tianyi, Zhang Mengmeng, Pu Yang, et al. Changes in NDVI and its multiscale spatiotemporal responses to precipitation in the Mu Us Desert[J]. Arid Zone Research, 2024, 41(8): 1395-1404. ] doi: 10.13866/j.azr.2024.08.13
[11]	吴万民, 刘涛, 陈鑫. 西北干旱半干旱区NDVI季节性变化及其影响因素[J]. 干旱区研究, 2023, 40(12): 1969-1981. doi: 10.13866/j.azr.2023.12.10
	[Wu Wanmin, Liu Tao, Chen Xin. Seasonal changes of NDVI in the arid and semi-arid regions of Northwest China and its influencing factors[J]. Arid Zone Research, 2023, 40(12): 1969-1981. ] doi: 10.13866/j.azr.2023.12.10
[12]	刘爽, 宫鹏. 2000—2010年中国地表植被绿度变化[J]. 科学通报, 2012, 57(16): 1423-1434.
	[Liu Shuang, Gong Peng. Change of surface cover greenness in China between 2000 and 2010[J]. Science Bulletin, 2012, 57(16): 1423-1434. ]
[13]	童珊, 曹广超, 闫欣, 等. 祁连山南坡2000—2020年植被覆盖时空演变及其驱动因素分析[J]. 山地学报, 2022, 40(4): 491-503.
	[Tong Shan, Cao Guangchao, Yan Xin, et al. Spatial-temporal evolution of vegetation cover and its driving factors on the south slope of Qilian Mountains, China from 2000 to 2020[J]. Mountain Research, 2022, 40(4): 491-503. ]
[14]	邱巡巡, 曹广超, 张卓, 等. 高寒农田土壤有机碳和全氮密度垂直分布特征及其与海拔的关系[J]. 土壤通报, 2022, 53(3): 623-630.
	[Qiu Xunxun, Cao Guangchao, Zhang Zhuo, et al. Vertical distribution characteristics of soil organic carbon and total nitrogen density in alpine farmland and their relationships with altitude[J]. Chinese Journal of Soil Science, 2022, 53(3): 623-630. ]
[15]	张卓. 祁连山南坡生态系统碳源/汇特征及碳库影响因素研究[D]. 西宁: 青海师范大学, 2022.
	[Zhang Zhuo. Research on the Carbon Source/Sink Characteristics of the Ecosystem on the Southern Slope of the Qilian Mountains and Its Effect Factors of Carbon Pool[D]. Xining: Qinghai Normal University, 2022. ]
[16]	范智高, 文雯, 史红人, 等. 青藏高原暖湿复合事件时空变化特征及其对生态环境质量的影响[J]. 高原山地气象研究, 2023, 43(4): 48-55.
	[Fan Zhigao, Wen Wen, Shi Hongren, et al. Spatial and temporal variation characteristics of warm-wet composite events on the Qinghai-Tibet Plateau and their impact on ecological environment quality[J]. Plateau and Mountain Meteorology Research, 2023, 43(4): 48-55. ]
[17]	陈怡洁, 陈瑜. 黄河流域甘肃段NDVI时空变化及其影响因素分析[J]. 测绘与空间地理信息, 2024, 47(3): 89-92.
	[Chen Yijie, Chen Yu. Spatial-temporal variation of NDVI in Gansu section of the Yellow River Basin and its influencing factors[J]. Geomatics & Spatial Information Technology, 2024, 47(3): 89-92. ]
[18]	马鹏飞, 张安兵, 王贺封, 等. 基于改进遥感生态指数的矿区生态环境监测及驱动因素分析[J]. 生态与农村环境学报, 2023, 39(12): 1580-1590.
	[Ma Pengfei, Zhang Anbing, Wang Hefeng, et al. Ecological environment and driving factors analysis of mining areas based on improved remote sensing ecological index[J]. Journal of Ecology and Rural Sciences, 2023, 39(12): 1580-1590. ]
[19]	付沙沙, 彭威, 邵爱梅, 等. 秦巴山区夏季NDVI变化特征及其对气候因子的响应[J]. 干旱区研究, 2023, 40(10): 1563-1574. doi: 10.13866/j.azr.2023.10.03
	[Fu Shasha, Peng Wei, Shao Aimei, et al. Variations in the NDVI characteristics during the summer and the climatic factor responses in the Qinling-Daba Mountains[J]. Arid Zone Research, 2023, 40(10): 1563-1574. ] doi: 10.13866/j.azr.2023.10.03
[20]	艾丽亚, 王永芳, 郭恩亮, 等. 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. doi: 10.12118/j.issn.1000-6060.2022.584
	[Ai Liya, Wang Yongfang, Guo Enliang, et al. NDVI change and its influencing factors of Daqingshan National Nature Reserve based on GEE[J]. Arid Land Geography, 2023, 46(8): 1279-1290. ] doi: 10.12118/j.issn.1000-6060.2022.584
[21]	张华, 安慧敏. 基于GEE的1987—2019年民勤绿洲NDVI变化特征及趋势分析[J]. 中国沙漠, 2021, 41(1): 28-36. doi: 10.7522/j.issn.1000-694X.2020.00094
	[Zhang Hua, An Huimin. Analysis of NDVI variation characteristics and trend of Minqin Oasis from 1987 to 2019 based on GEE[J]. Journal of Desert Research, 2021, 41(1): 28-36. ] doi: 10.7522/j.issn.1000-694X.2020.00094
[22]	马浩文, 王永芳, 郭恩亮. 基于GEE的翁牛特旗土地沙漠化遥感监测[J]. 干旱区研究, 2023, 40(3): 504-516. doi: 10.13866/j.azr.2023.03.16
	[Ma Haowen, Wang Yongfang, Guo Enliang. Remote sensing monitoring of aeolian desertification in Ongniud Banner based on GEE[J]. Arid Zone Research, 2023, 40(3): 504-516. ] doi: 10.13866/j.azr.2023.03.16
[23]	吴运力, 张钰, 田佳榕. 气候变化和人类活动对内蒙古高原不同植被类型NDVI的影响[J]. 中国农业气象, 2023, 44(12): 1155-1168.
	[Wu Yunli, Zhang Yu, Tian Jiarong. Impacts by climate change and human activities on NDVI in different vegetation types across the Inner Mongolia plateau[J]. Chinese Journal of Agrometeorology, 2023, 44(12): 1155-1168. ] doi: 10.3969/j.issn.1000-6362.2023.12.008
[24]	张紫荆, 华丽, 郑萱, 等. 基于GEE平台与Sentinel-NDVI时序数据江汉平原种植模式提取[J]. 农业工程学报, 2022, 38(1): 196-202.
	[Zhang Zijing, Hua Li, Zheng Xuan, et al. Extraction of cropping patterns in Jianghan Plain based on GEE and Sentinel-NDVI time series data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(1): 196-202.]
[25]	文妙霞, 何学高, 刘欢, 等. 基于地理探测器的宁夏草地植被覆被时空分异及驱动因子[J]. 干旱区研究, 2023, 40(8): 1322-1332. doi: 10.13866/j.azr.2023.08.13
	[Wen Miaoxia, He Xuegao, Liu Huan, et al. Analysis of the spatiotemporal variation characteristics and driving factors ofgrassland vegetation cover in Ningxia based on geographical detectors[J]. Arid Zone Research, 2023, 40(8): 1322-1332. ] doi: 10.13866/j.azr.2023.08.13
[26]	程兀杰, 孟妮娜, 蔡昕楠, 等. 陕西省NDVI时空变化及其对气候和人类活动的响应[J]. 人民黄河, 2023, 45(4): 28-34.
	[Cheng Wujie, Meng Nina, Cai Xinnan, et al. Temporal and spatial variation of NDVI in Shaanxi Province and its response to climate change and human activities[J]. Yellow River, 2023, 45(4): 28-34. ]
[27]	Kulesza K, Ho ciło A. Temporal patterns of vegetation greenness for the main forest-forming tree species in the European temperate zone[J]. Remote Sensing, 2024, 16(15): 2844-2844.
[28]	Zhao W L, Wang H Y, Zhang H F, et al. Precipitation and anthropogenic activities regulate the changes of NDVI in Zhegucuo Valley on the southern Tibetan Plateau[J]. Journal of Mountain Science, 2024, 21(2): 607-618.
[29]	Ji S T, Han S X, Hu J X, et al. Temporal-difference graph-based optimization for high-quality reconstruction of MODIS NDVI data[J]. Remote Sensing, 2024, 16(15): 2713.
[30]	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. doi: 10.11821/dlxb202005006
	[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. ] doi: 10.11821/dlxb202005006
[31]	江慧娴, 董文杰. 气候变化和人类活动对华北地区植被NDVI的影响研究[J]. 高原气象, 2024, 43(5): 1312-1328. doi: 10.7522/j.issn.1000-0534.2024.00013
	[Jiang Huixian, Dong Wenjie. Impacts of climate change and human activities on NDVI change in North China[J]. Plateau Meteorology, 2024, 43(5): 1312-1328. ] doi: 10.7522/j.issn.1000-0534.2024.00013
[32]	金岩松, 金凯, 王飞, 等. 气候变化和人类活动对东部沿海地区NDVI变化的影响分析[J]. 环境科学, 2023, 44(6): 3329-3342.
	[Jin Yansong, Jin Kai, Wang Fei, et al. Impacts of climate change and human activities on NDVI change in eastern coastal areas of China[J]. Environmental Science, 2023, 44(6): 3329-3342. ]
[33]	夏凯, 黄义忠. 基于MODIS-NDVI的云南省植被时空变化及驱动因素分析[J]. 南方农业学报, 2023, 54(11): 3427-3437.
	[Xia Kai, Huang Yizhong. Spatiotemporal changes and driving factors of vegetation in Yunnan based on MODIS-NDVI[J]. Journal of Southern Agricultural, 2023, 54(11): 3427-3437. ]
[34]	Dong J B, Yin T T, Liu H X, et al. Vegetation greenness dynamics in the Western Greater Khingan range of Northeast China based on dendrochronology[J]. Biology, 2022, 11(5): 679.
[35]	Xue F, Hu Y N. Diverse responses of vegetation greenness and productivity to land use and climate change: A comparison of three urban agglomerations in China[J]. Sustainability, 2024, 16(14): 5900-5900.
[36]	燕丹妮, 武心悦, 王博恒, 等. 1982—2015年黄土高原植被变化特征及归因[J]. 生态学报, 2023, 43(23): 9794-9804.
	[Yan Danni, Wu Xinyue, Wang Boheng, et al. Characteristics and driving forces of changes in vegetation coverage on the Loess Plateau, 1982-2015[J]. Acta Ecologica Sinica, 2023, 43(23): 9794-9804. ]
[37]	高艺菲. 全球植被绿度年际波动性及其演化[D]. 兰州: 兰州大学, 2023.
	[Gao Yifei. Global Vegetation Greenness Interannual Variability and Its Evolvement[D]. Lanzhou: Lanzhou University, 2023. ]

变化趋势值Slope	显著性水平	变化趋势	像元数/个	比例/%
<-0.0005	<0.01	极显著退化	120	1
<-0.0005	0.01~0.05	显著退化	166	1
<-0.0005	≥0.05	轻微退化	2280	9
-0.0005~0.0005	≥0.05	基本不变	6660	28
>0.0005	≥0.05	轻微改善	9326	39
>0.0005	0.01~0.05	显著改善	2599	11
>0.0005	<0.01	极显著改善	2642	11

变异系数			未来变化趋势
稳定性	像元数/个	比例/%	变化趋势	像元数/个	比例/%
低波动	4739	20	持续退化	587	3
相对低波动	16873	70	反持续改善	1979	8
中波动	2179	9	基本不变	6660	28
相对高波动	198	0.9	反持续退化	11615	49
高波动	19	0.1	持续改善	2950	12

祁连山南坡植被绿度时空变化及其对气候变化和人类活动的响应

Spatiotemporal changes in vegetation greenness on the southern slopes of the Qilian Mountains and their responses to climate change and human activities

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 37

相关文章 15

Metrics

本文评价

推荐阅读 0

Slope（NDVI_obs）	驱动因素	像元数/个	比例/%
>0	气候变化和人类活动	14942	64
>0	气候变化	2501	11
>0	人类活动	952	4
<0	气候变化和人类活动	1218	5
<0	气候变化	190	1
<0	人类活动	3498	15

[1]	张彬, 郑新军, 王玉刚, 唐立松, 李彦, 杜澜, 田胜川. 1990—2022年天山北坡地区不同开垦年限耕层土壤盐分变化[J]. 干旱区研究, 2024, 41(9): 1435-1445.
[2]	孙琳琳, 刘琼, 黄观, 陈勇航, 魏鑫, 郭玉琳, 张太西, 高天一, 许赟红. 新疆和周边“一带一路”地区不同云天条件下地表太阳辐射[J]. 干旱区研究, 2024, 41(9): 1480-1490.
[3]	袁征, 张志高, 闫瑾, 刘嘉毅, 胡柱钰, 王赟, 蔡茂堂. 1960—2020年黄河流域不同等级降水时空特征[J]. 干旱区研究, 2024, 41(8): 1259-1271.
[4]	张群慧, 常亮, 顾小凡, 王倩, 马卯楠, 李小等, 段瑞, 犹香智. 1979—2020年柴达木盆地人体舒适度指数时空变化及趋势分析[J]. 干旱区研究, 2024, 41(8): 1300-1308.
[5]	吕壮壮, 乔庆庆, 董孙艺, 汪冬. 中中新世气候适宜期全球变暖背景下亚洲内陆干旱区古气候演化特征及驱动机制[J]. 干旱区研究, 2024, 41(8): 1309-1322.
[6]	吴思源, 郝利娜. 2001—2021年黄河流域植被覆盖变化及其驱动因素[J]. 干旱区研究, 2024, 41(8): 1373-1384.
[7]	周杰, 王旭虎, 杜维波, 周晓雷, 杨洁, 张晓玮. 气候变化背景下的天山云杉潜在分布区预测[J]. 干旱区研究, 2024, 41(7): 1167-1176.
[8]	杨荣钦, 肖玉磊, 池苗苗, 穆振侠. 近20 a塔里木河流域人类活动及景观生态风险时空变化[J]. 干旱区研究, 2024, 41(6): 1010-1020.
[9]	梁双河, 牛最荣, 贾玲. 祖厉河干流近65 a径流变化及归因分析[J]. 干旱区研究, 2024, 41(6): 928-939.
[10]	唐可欣, 郭建斌, 何亮, 陈林, 万龙. 中国旱区GPP时空演变特征及影响因素研究[J]. 干旱区研究, 2024, 41(6): 964-973.
[11]	裴志林, 曹晓娟, 王冬, 李迪, 王鑫, 白艾原. 内蒙古植被覆盖时空变化特征及其对人类活动的响应[J]. 干旱区研究, 2024, 41(4): 629-638.
[12]	赵东颖, 蒙仲举, 孟芮冰, 马泽. 乌兰布和沙漠风沙入黄段植被覆盖动态变化特征及驱动力[J]. 干旱区研究, 2024, 41(4): 639-649.
[13]	王平顺, 苗新岳, 燕亚平, 董生旺, 董少刚. 内蒙古伊敏盆地地下水水化学特征及其成因[J]. 干旱区研究, 2024, 41(3): 411-420.
[14]	周义, 索文姣. 基于CWSI的汾河流域干旱时空变化特征[J]. 干旱区研究, 2024, 41(2): 191-199.
[15]	王思楠, 吴英杰, 王宏宙, 黎明扬, 王飞, 张雯颖, 马小茗, 于向前. 基于地理探测器的鄂尔多斯干旱时空变化驱动因素分析[J]. 干旱区研究, 2024, 41(12): 1981-1991.