Quantitative Analysis of Temporal and Spatial Changes of NDVI and Its Driving Factors in Henan Province from 2000 to 2020

doi:10.16258/j.cnki.1674-5906.2022.10.002

Ecology and Environment ›› 2022, Vol. 31 ›› Issue (10): 1939-1950.DOI: 10.16258/j.cnki.1674-5906.2022.10.002

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Quantitative Analysis of Temporal and Spatial Changes of NDVI and Its Driving Factors in Henan Province from 2000 to 2020

YU Yuyang^*(), SONG Fengyi, ZHANG Shijie

School of Tourism, Henan Normal University, Xinxiang 453007, P. R. China

Received:2022-05-03 Online:2022-10-18 Published:2022-12-09
Contact: YU Yuyang

2000—2020年河南省NDVI时空变化及其驱动因素定量分析

余玉洋^*(), 宋丰艺, 张世杰

河南师范大学旅游学院，河南新乡 453007

通讯作者: 余玉洋
作者简介:余玉洋（1993年生），男，讲师，博士，研究方向为生态系统服务与植被遥感。E-mail: yuyuyangg@qq.com
基金资助:
国家自然科学基金项目(42102120);博士人才科研启动课题(校20220087)

Abstract

Abstract:

Vegetation is an important part of terrestrial ecosystems and has a significant impact on the terrestrial carbon cycle, energy exchange, water balance and climate change. Normalized vegetation index (NDVI) is used to reveal the growth status of regional vegetation. Therefore, NDVI change is usually used to evaluate regional or global environmental quality. However, with the changes of human activities and climate, the regional vegetation growth environment has been influenced. It is very important to analyze the influencing factors of NDVI change. In view of this, the long-term (2000-2020) NDVI dataset was used to analyze the temporal and spatial pattern of NDVI. The residual analysis was utilized to analyze the impact of human activities and climate change on NDVI changes and contribution rate. The results were as follows: (1) The monthly mean NDVI in Henan Province varied significantly, with July-September in the high value zone and November-January in the low value zone. Spatially, the mean NDVI of broadleaf forest in western Henan Province was higher than that of cultivated vegetation in eastern Henan Province. (2) At low elevations, the mean NDVI of vegetation increased with elevation. A cross-sectional comparison of slope orientation showed that the mean NDVI of semi-shade and semi-positive slopes was higher than that of shady and positive slopes. (3) The bias correlation coefficient between annual mean NDVI and precipitation was significantly higher than that between temperature and NDVI, revealing that the annual mean NDVI was more significantly influenced by precipitation than by temperature. (4) Driven by both human activities and climate change, the area of NDVI in Henan Province improved in the long-term series was 82.5%, of which the average contribution rates of human activities and climate change were 72.26% and 27.74%, respectively. The study of spatial and temporal changes of NDVI in Henan Province and the quantitative analysis of the driving factors can lay the foundation for promoting sustainable socio-ecological development and ecological civilization in Henan Province.

Key words: NDVI, spatial and temporal variation, residual analysis, contribution rate, Henan Province

摘要：

植被是陆地生态系统的重要组成部分，对陆地碳循环、能量交换、水平衡以及气候变化有着重大影响。归一化植被指数（NDVI）可反映区域植被的生长状况，通常利用NDVI变化评估区域或全球生态环境质量。人类活动和气候变化影响区域植被的生长环境，定量解析NDVI变化的影响因素极其重要。鉴于此，利用长期（2000—2020年）NDVI数据集分析NDVI的时空变化格局，并利用残差分析法解析人类活动和气候变化对NDVI变化的影响和贡献率。结果如下，（1）时间序列上，河南省月平均NDVI变化明显，7—9月处于高值区，而11月至次年1月处于低值区；在空间上，豫西阔叶林NDVI均值高于豫东栽培植被的NDVI均值。（2）在低海拔地区，NDVI均值随着海拔升高而升高，半阴坡和半阳坡的NDVI均值高于阴坡和阳坡的NDVI均值。（3）NDVI年均值与降水的偏相关系数略高于气温与NDVI的偏相关系数，表明年均NDVI受降水的影响比受气温的影响显著。（4）在人类活动和气候变化共同驱动下，河南省NDVI在长时间序列中得到改善的区域面积比例为82.5%，其中人类活动和气候变化的平均贡献率分别为72.26%和27.74%。对河南省NDVI的时空变化和驱动因素的定量分析可为河南省社会-生态可持续发展和生态文明建设提供科学参考。

关键词: NDVI, 时空变化, 残差分析, 贡献率, 河南省

CLC Number:

Q948
X171.1

YU Yuyang, SONG Fengyi, ZHANG Shijie. Quantitative Analysis of Temporal and Spatial Changes of NDVI and Its Driving Factors in Henan Province from 2000 to 2020[J]. Ecology and Environment, 2022, 31(10): 1939-1950.

余玉洋, 宋丰艺, 张世杰. 2000—2020年河南省NDVI时空变化及其驱动因素定量分析[J]. 生态环境学报, 2022, 31(10): 1939-1950.

Figures/Tables 13

Figure 1 Basic geographic data of Henan Province

Table 1 Data sources

数据类型 Type of data	数据描述 Data description	数据来源 Data sources
基础地理信息数据 Basic geographic information data	行政区划、河流、道路等	http://www.ngcc.cn/ngcc/
高程数据 Elevation data	来源于地理空间数据云，空间分辨率为30 m	http://www.gscloud.cn/
植被数据 Vegetation data	来源于中国科学院资源环境科学与数据中心，空间分辨率为250 m	https://www.resdc.cn/DataSearch.aspx
气象数据 Meteorological data	2000-2020年逐日数据，指标包括降水、最高气温、最低气温数据	http://data.cma.cn/

Table 2 Criteria for determining the drivers of NDVI changes in vegetation and the calculation of their contribution

S(NDVI_obs)	驱动要素 Driving factor	划分标准 Criteria for the classification		贡献率 Contribution rate/%
S(NDVI_obs)	驱动要素 Driving factor	S(NDVI_CC)	S(NDVI_HA)	气候变化 Climate change	人类活动 Human activity
>0 (积极作用 Positive effects)	气候变化和人类活动	>0	>0	S(NDVI_CC)/S(NDVI_obs)	S(NDVI_HA)/S(NDVI_obs)
	气候变化	>0	<0	100	0
	人类活动	<0	>0	0	100
<0 (消极作用 Negative effects)	气候变化和人类活动	<0	<0	S(NDVI_CC)/S(NDVI_obs)	S(NDVI_CC)/S(NDVI_obs)
	气候变化	<0	>0	100	0
	人类活动	>0	<0	0	100

Figure 2 Mean values of NDVI of different vegetation types

Figure 3 Temporal variation of monthly average NDVI from 2000 to 2020

Figure 4 Interannual variation of NDVI in different subdivisions

Figure 5 Spatial distribution of NDVI in Henan Province from 2000 to 2020

Figure 6 Statistics on the rate of change of NDVI at different levels in different sub-regions

Figure 7 Statistics of NDVI changes under different topographic conditions in different divisions

Figure 8 Bias correlation and significance distribution of annual mean NDVI with precipitation and temperature

Figure 9 Statistics of anthropogenic action zoning

Figure 10 Trend of human activities on vegetation change and test of significance

Figure 11 Spatial distribution of positive (a, b) and negative (c, d) contributions of human activities and climate change to vegetation growth in Henan Province from 2000 to 2020

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Quantitative Analysis of Temporal and Spatial Changes of NDVI and Its Driving Factors in Henan Province from 2000 to 2020

2000—2020年河南省NDVI时空变化及其驱动因素定量分析

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[6]	CAO Xiaoyun, ZHU Cunxiong, CHEN Guoqian, SUN Shujiao, ZHAO Huifang, ZHU Wenbin, ZHOU Bingrong. Surface Greenness Change and Topographic Differentiation over Qaidam Basin from 2000 to 2021 [J]. Ecology and Environment, 2022, 31(6): 1080-1090.
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[8]	YANG Yuanyuan, SHE Zhipeng, SONG Jinxi, ZHU Dawei. Study on Vegetation Variation Characteristics and Influencing Factors in Different Geomorphic Zones in the Chanbahe River Basin since 2000 [J]. Ecology and Environment, 2022, 31(2): 224-230.
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