Variation of Vegetation During the Growing Season and Its Response to Human Activities in Ningxia During 2000-2020

doi:10.19657/j.geoscience.1000-8527.2024.078

Abstract

Abstract:

It is of great significance to research the dynamic variation of vegetation and its response to human activities in Northwest China, which can promote the protection and restoration of regional ecological environment, as well as continuously consolidating and deepening the achievements of ecological construction.Based on the MOD13Q1-NDVI data and meteorological data from 2000 to 2020, the dynamic variation of vegetation NDVI during the growing season in Ningxia were analyzed and its response to human activities were discussed in this paper using methods such as trend analysis, correlation analysis and residual analysis.The results showed that the vegetation NDVI during the growing season has exhibited an increase trend as a whole with a linear regression trend of 0.008 in recent 20 years.Also, the spatial distribution of vegetation NDVI shows significant regional differences, generally characterized by higher values in the southern and northern regions and lower values in the central area.The area with an improving vegetation trend is significantly larger than that with a degrading trend, with proportions of significantly increased and decreased vegetation NDVI areas being 65.34% and 3.05%, respectively.Residual analysis indicates that the average contribution rate of human activities to vegetation changes is approximately 33%.In the last 20 years, the mean values of NDVI residual and their trend are 0.17 and 0.007 per year, respectively, indicating that the positive effect of human activities on vegetation have gradually strengthened.Ecological restoration projects have played a crucial role in significantly enhancing the NDVI of vegetation in Ningxia.

Key words: vegetation NDVI, temporal and spatial variation, NDVI residual, Ningxia

CLC Number:

LUO Xinping, LIU Xiaohuang, YAN Yuxiang, HE Zhenfang, XING Liyuan, WANG Ran. Variation of Vegetation During the Growing Season and Its Response to Human Activities in Ningxia During 2000-2020[J]. Geoscience, 2025, 39(02): 504-513.

Figures/Tables 6

Fig.1 Topographic map with weather stations in the study area

Fig.2 Inter-annual variations of NDVI in the growing season in Ningxia from 2000 to 2020

Fig.3 Spatial distribution of annual averaged NDVI in Ningxia during 2000-2020

Fig.4 Spatial variation trend of NDVI(a) and significance test(b) in Ningxia during 2000-2020

Fig.5 NDVI residual(a), change rate(b) and contribution rate of human activities (c) in Ningxia during 2000-2020

Fig.6 Change trend of NDVI(a) and residual(b) in the different distance of urban buffer zone in Ningxia

References 32

[1]	PARMESAN C, YOHE G. A globally coherent fingerprint of climate change impacts across natural systems[J]. Nature, 2003, 421: 37-42.
[2]	郭铌. 植被指数及其研究进展[J]. 干旱气象, 2003, 21(4): 71-75.
[3]	XIAO J, MOODY A. Geographical distribution of global greening trends and their climatic correlates: 1982-1998[J]. International Journal of Remote Sensing, 2005, 26(11): 2371-2390.
[4]	ZHU Z C, PIAO S L, MYNENI R B, et al. Greening of the Earth and its drivers[J]. Nature Climate Change, 2016, 6: 791-795. DOI
[5]	ZHANG B W, CUI L L, SHI J, et al. Vegetation dynamics and their response to climatic variability in China[J]. Advances in Meteorology, 2017(1): 8282353.
[6]	刘宪锋, 朱秀芳, 潘耀忠, 等. 1982—2012年中国植被覆盖时空变化特征[J]. 生态学报, 2015, 35(16): 5331-5342.
[7]	LÜ Y H, ZHANG L W, FENG X M, et al. Recent ecological transitions in China: Greening, browning, and influential factors[J]. Scientific Reports, 2015, 5: 8732. DOI PMID
[8]	牟乐, 芦奕晓, 杨惠敏, 等. 1981—2015年中国西北牧区植被覆盖的时空变化[J]. 干旱区研究, 2018, 35(3): 615-623. DOI
[9]	郑朝菊, 曾源, 赵玉金, 等. 近15年中国西南地区植被覆盖度动态变化[J]. 国土资源遥感, 2017, 29(3): 128-136.
[10]	胡屾, 刘骏, 毛学刚. 中国东北地区2007—2010年植被覆盖度及其变化[J]. 东北林业大学学报, 2017, 45(7): 45-50.
[11]	成方妍, 刘世梁, 尹艺洁, 等. 基于MODIS NDVI的广西沿海植被动态及其主要驱动因素[J]. 生态学报, 2017, 37(3): 788-797.
[12]	赵婷, 白红英, 邓晨晖, 等. 2000—2016年秦岭山地植被覆盖变化地形分异效应[J]. 生态学报, 2019, 39(12): 4499-4509.
[13]	钱信禹, 边小卫, 张亚峰, 等. 丹江源地区地质建造对土壤和植被生态空间格局的影响[J]. 现代地质, 2023, 37(4): 903-913.
[14]	耿庆玲, 陈晓青, 赫晓慧, 等. 中国不同植被类型归一化植被指数对气候变化和人类活动的响应[J]. 生态学报, 2022, 42(9): 3557-3568.
[15]	王涛, 白红英. 秦岭山地植被NDVI对气候变化与人类活动的响应[J]. 山地学报, 2017, 35(6): 778-789.
[16]	LI H, ZHANG H Y, LI Q X, et al. Vegetation productivity dynamics in response to climate change and human activities under different topography and land cover in NorthEast China[J]. Remote Sensing, 2021, 13(5): 975.
[17]	FENG D R, FU M C, SUN Y Y, et al. How large-scale anthropogenic activities influence vegetation cover change in China? A review[J]. Forests, 2021, 12(3): 320.
[18]	刘亚群, 吕昌河, 傅伯杰, 等. 中国陆地生态系统分类识别及其近20年的时空变化[J]. 生态学报, 2021, 41(10): 3975-3987.
[19]	JU J C, MASEK J G. The vegetation greenness trend in Canada and US Alaska from 1984-2012 Landsat data[J]. Remote Sensing of Environment, 2016, 176: 1-16.
[20]	王倩, 金晓媚, 张绪财, 等. 河北省张承地区2001—2020年植被动态变化及驱动因素分析[J]. 现代地质, 2023, 37(4): 881-891.
[21]	张绪财, 金晓媚, 朱晓倩, 等. 格尔木河流域植被指数时空分布及其影响因素研究[J]. 现代地质, 2019, 33(2): 461-468.
[22]	LI Y, PIAO S L, LI L Z X, et al. Divergent hydrological response to large-scale afforestation and vegetation greening in China[J]. Science Advances, 2018, 4(5): eaar4182.
[23]	朱晗晖, 张宇, 沈晓燕, 等. 农牧交错带植被演变对区域气候影响的模拟[J]. 高原气象, 2018, 37(3): 721-733. DOI
[24]	赵卓文, 张连蓬, 李行, 等. 基于MOD13Q1数据的宁夏生长季植被动态监测[J]. 地理科学进展, 2017, 36(6): 741-752. DOI
[25]	潘金金, 任宗萍, 胥世斌, 等. 宁夏不同植被类型NDVI变化特征及其对气候的响应[J]. 地球科学与环境学报, 2023, 45(4): 819-832.
[26]	黄悦悦, 杨东, 冯磊. 2000—2016年宁夏植被覆盖度的时空变化及其驱动力[J]. 生态学杂志, 2019, 38(8): 2515-2523.
[27]	张元栋, 尚晓鹏, 杜芬玲, 等. 宁夏植被动态变化及其对降水的响应[J]. 西安科技大学学报, 2017, 37(1): 84-89.
[28]	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. DOI
[29]	李欣, 王连喜, 李琪, 等. 宁夏近25年植被指数变化及其与气候的关系[J]. 干旱区资源与环境, 2011, 25(9):161-166.
[30]	章诞武, 丛振涛, 倪广恒. 基于中国气象资料的趋势检验方法对比分析[J]. 水科学进展, 2013, 24(4): 490-496.
[31]	李辉霞, 刘国华, 傅伯杰. 基于NDVI的三江源地区植被生长对气候变化和人类活动的响应研究[J]. 生态学报, 2011, 31(19): 5495-5504.
[32]	FU Y H, ZHAO H F, PIAO S L, et al. Declining global warming effects on the phenology of spring leaf unfolding[J]. Nature, 2015, 526(7571): 104-107.