Analysis of Fractional Vegetation Cover Changes and Driving Forces on Both Banks of Yongding River Before and After Ecological Water Replenishment

doi:10.16258/j.cnki.1674-5906.2023.02.006

Ecology and Environment ›› 2023, Vol. 32 ›› Issue (2): 264-273.DOI: 10.16258/j.cnki.1674-5906.2023.02.006

• Research Articles • Previous Articles Next Articles

Analysis of Fractional Vegetation Cover Changes and Driving Forces on Both Banks of Yongding River Before and After Ecological Water Replenishment

ZHANG Shanwen¹(), YANG Ran¹, HOU Wenxing¹, WANG Lili¹, LIU Shuang¹, SONG Hanyang¹, ZHAO Wenji¹^,^*(), LI Lingjun²^,^*()

1. School of Resources, Environment and Tourism, Capital Normal University, Beijing 100048, P. R. China
2. Beijing Ecological Environment Monitoring Center, Beijing 100048, P. R. China

Received:2022-11-11 Online:2023-02-18 Published:2023-05-11
Contact: ZHAO Wenji,LI Lingjun

生态补水前后永定河两岸植被覆盖度变化及驱动力分析

张鐥文¹(), 杨冉¹, 侯文星¹, 王丽丽¹, 刘爽¹, 宋汉扬¹, 赵文吉¹^,^*(), 李令军²^,^*()

1.首都师范大学资源环境与旅游学院，北京 100048
2.北京市生态环境监测中心，北京 100048

通讯作者: 赵文吉,李令军
作者简介:张鐥文（1999年生），女，硕士研究生，研究方向为遥感数据处理和地学应用。E-mail: 2210902140@cnu.edu.cn
基金资助:
国家自然科学基金项目(42071422)

Abstract

Abstract:

Vegetation is one of important parts in ecosystem and plays an essential role in energy exchange, water and soil conservation, wind protection and sand fixation. In order to reveal the influence of ecological water replenishment on fractional vegetation cover changes and its driving forces, this study analyzed the Landsat-8 satellite image data through image difference comparison, Pearson correlation coefficient, and residual analysis. The results showed that (1) from 2014 to 2020, fractional vegetation cover on both banks of Yongding River presented distribution pattern of high in the northwest and low in the southeast, respectively. The fractional vegetation cover variation showed an optimization trend, where the improved area was larger than the degraded area. (3) The average correlation coefficient between FVC and annual air temperature and annual precipitation was -0.17 and 0.15, respectively. In general, FVC was negatively correlated with air temperature and positively correlated with precipitation. The negative and positive correlations (P<0.05) were significant in the area only accounting for 23.03% and 16.26%, respectively. (4) Before ecological water replenishment, the impact of human activities on fractional vegetation cover was mainly negative, which, however, was reversed after ecological water replenishment with the improved area reaching up to 63.04%. During 2014 and 2020, human activities promoted the growth of fractional vegetation cover. (5) The relative contribution (>60%) of climate change and human activities to FVC improvement and light improvement areas were 16.98% and 68.09%, respectively. Human activities had a greater impact on the FVC change and had a positive effect on the FVC growth. (6) The water surface area of Yongding River region increased by about 100.07% in the past seven years, consistent with the change trend of the average fractional vegetation cover, showing a “rise-fall-rise” changing pattern. The correlation coefficient between water surface area and fractional vegetation cover was up to 0.83 (P<0.05). In conclusion, the fractional vegetation cover on both banks of Yongding River showed an overall improvement trend during 2014-2020. The growth of fractional vegetation cover had a significant correlation with the ecological water replenishment but not with meteorological factors.

Key words: fractional vegetation cover, meteorological factors, human activities, ecological water replenishment, Yongding River

摘要：

植被是生态系统的重要组成部分，在能量交换、水土保持、防风固沙等方面具有重要作用。为了研究生态补水对永定河两岸植被覆盖度的变化的影响，基于Landsat-8卫星影像数据，利用影像图差值比较法、皮尔逊相关系数、残差分析等方法对永定河生态补水前后植被覆盖度时空变化及其驱动力进行分析。结果表明，（1）2014-2020年永定河两岸植被覆盖度总体上呈现西北高、东南低的分布格局，植被覆盖度变化呈现优化趋势，改善区域面积大于退化区域面积。（3）植被覆盖度与年气温的平均相关系数为-0.17，与年降水量的平均相关系数为0.15。植被覆盖度总体上与气温呈负相关，与降水量呈正相关，但具有显著性（P<0.05）的面积分别仅占23.03%和16.26%。（4）生态补水前，人类活动对植被覆盖度的影响主要是负面影响，而在生态补水后，人类活动对植被覆盖度的影响逐渐向好，发挥正面影响的面积占比63.04%。2014-2020年期间人类活动变化的趋势向促进植被覆盖度增长的方向发展。（5）气候变化和人类活动对于植被覆盖度改善和轻改善区域相对贡献在60%以上的面积占比分别为16.98%和68.09%，人类活动对于植被覆盖度变化的影响更大，整体上对于植被覆盖度的增长具有积极作用。（6）永定河区域水面面积七年增长约100.07%，与植被覆盖度均值变化趋势一致，呈现“升-降-升”的变化规律，且它们之间的相关系数可达0.83（P<0.05），呈显著正相关。综上所述，2014-2020年永定河两岸植被覆盖度整体呈现改善趋势，气象因素对其影响较不显著，生态补水对植被覆盖度的增长具有显著相关关系。

关键词: 植被覆盖度, 气象因素, 人类活动, 生态补水, 永定河

CLC Number:

Q948
X173

ZHANG Shanwen, YANG Ran, HOU Wenxing, WANG Lili, LIU Shuang, SONG Hanyang, ZHAO Wenji, LI Lingjun. Analysis of Fractional Vegetation Cover Changes and Driving Forces on Both Banks of Yongding River Before and After Ecological Water Replenishment[J]. Ecology and Environment, 2023, 32(2): 264-273.

张鐥文, 杨冉, 侯文星, 王丽丽, 刘爽, 宋汉扬, 赵文吉, 李令军. 生态补水前后永定河两岸植被覆盖度变化及驱动力分析[J]. 生态环境学报, 2023, 32(2): 264-273.

Figures/Tables 12

Figure 1 5 km range on both sides of Yongding River

Table 1 Classification of threshold values of vegetation coverage change

等级	阈值划分	植被盖度变化情况
1	[-1, -0.6]	退化
2	[-0.6, -0.2]	轻退化
3	[-0.2, 0.2]	稳定
4	[0.2, 0.6]	轻改善
5	[0.6, 1]	改善

Table 2 Relative contributions of climate change and human activities to vegetation coverage

植被覆盖度变化	情景	Slope (FVC_obs)	Slope (FVC_pre)	Slope (FVC_HA)	气候变化的相对贡献率/%	人类活动的相对贡献率/%
植被覆盖度改善	S1	>0	<0	>0	0	100
	S2	>0	>0	<0	100	0
	S3	>0	>0	>0	$Slope(V p r e) Slope(V o b s)$	$Slope(V H A) Slope(V o b s)$
植被覆盖度退化	S4	<0	<0	>0	100	0
	S5	<0	>0	<0	0	100
	S6	<0	<0	<0	$Slope(V p r e) Slope(V o b s)$	$Slope(V H A) Slope(V o b s)$

Table 2 Relative contributions of climate change and human activities to vegetation coverage

植被覆盖度变化	情景	Slope (FVC_obs)	Slope (FVC_pre)	Slope (FVC_HA)	气候变化的相对贡献率/%	人类活动的相对贡献率/%
植被覆盖度改善	S1	>0	<0	>0	0	100
	S2	>0	>0	<0	100	0
	S3	>0	>0	>0	$Slope(V p r e) Slope(V o b s)$	$Slope(V H A) Slope(V o b s)$
植被覆盖度退化	S4	<0	<0	>0	100	0
	S5	<0	>0	<0	0	100
	S6	<0	<0	<0	$Slope(V p r e) Slope(V o b s)$	$Slope(V H A) Slope(V o b s)$

Figure 2 Distribution map of average vegetation coverage in Yongding River region from 2014 to 2020

Figure 3 Temporal changes of FVC in Yongding River region from 2014 to 2020

Table 3 Vegetation coverage of different levels in Yongding River region from 2014 to 2020 %

等级	年份
等级	2014	2015	2016	2017	2018	2019	2020
低植被覆盖度	13.11	12.82	13.14	11.72	12.62	11.08	11.43
较低植被覆盖度	8.95	8.68	8.48	8.15	10.47	7.84	7.46
中植被覆盖度	11.58	9.84	9.41	9.42	11.90	9.32	9.04
较高植被覆盖度	21.79	17.33	16.41	17.98	15.61	16.62	15.58
高植被覆盖度	44.57	51.33	52.56	52.73	49.40	55.14	56.49

Figure 4 Spatial variation map of vegetation coverage in Yongding River Ecological Belt from 2014 to 2020

Table 4 Dynamic changes of FVC difference in different years %

变化情况	年份
变化情况	2014—2015	2015—2016	2016—2017	2017—2018	2018—2019	2019—2020	2014—2020
退化	0.37	0.65	0.51	0.73	0.26	0.63	1.62
轻退化	4.75	5.31	4.59	10.45	4.07	4.13	6.79
稳定	86.36	87.97	89.00	83.99	82.99	90.62	76.32
轻改善	7.99	5.87	5.71	4.62	12.05	4.43	13.90
改善	0.53	0.20	0.18	0.20	0.62	0.19	1.37

Figure 5 Relationship between FVC and temperature and precipitation

Figure 6 Effects of human activities on FVC

Figure 7 Relative contributions of climate change and human activities to vegetation coverage change

Figure 8 Water distribution in the study area from 2014 to 2020 (a) and mean variation trend of water surface area and vegetation coverage in Yongding River region (b)

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Analysis of Fractional Vegetation Cover Changes and Driving Forces on Both Banks of Yongding River Before and After Ecological Water Replenishment

生态补水前后永定河两岸植被覆盖度变化及驱动力分析

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[1]	DU Caiyan, YANG Peng, FENG Shuxian, MAO Yanting, TAO Qiong, CI Zhulamu, PENG Huiping, HE Jianmei, LI Weilin. Correlation between Quality and Ecological Factors of Weixi Glutinous Yam in Different Ecological Regions [J]. Ecology and Environment, 2023, 32(6): 1053-1061.
[2]	JIA Zhifeng, LIU Pengcheng, LIU Yu, WU Bobo, CHEN Danzi, ZHANG Xiangfei. Effects of Climatic Change and Human Activities on Vegetation Cover in Songliao River Basin [J]. Ecology and Environment, 2023, 32(1): 1-10.
[3]	LI Menghua, HAN Yingjuan, ZHAO Hui, WANG Yunxia. Analysis on Spatial-temporal Variation Characteristics and Driving Factors of Fractional Vegetation Cover in Ningxia Based on Geographical Detector [J]. Ecology and Environment, 2022, 31(7): 1317-1325.
[4]	HAO Yongpei, SONG Xiaowei, ZHAO Wenjun, XIANG Famin. Spatiotemporal Distribution of Air Pollution and Correlation Factors in Fenwei Plain [J]. Ecology and Environment, 2022, 31(3): 512-523.
[5]	ZHAO Anzhou, TIAN Xinle. Spatiotemporal Evolution and Influencing Factors of Vegetation Coverage in the Loess Plateau from 1986 to 2021 Based on GEE Platform [J]. Ecology and Environment, 2022, 31(11): 2124-2133.
[6]	CHEN Yang, ZHANG Jinpu, QIU Xiaonuan, JU Hong, HUANG Jun. Characteristic of Ozone Pollution and Meteorological Factors Analysis in Guangzhou in 2021 [J]. Ecology and Environment, 2022, 31(10): 2028-2038.
[7]	DENG Yujiao, WANG Jiechun, XU Jie, WU Yongqi, CHEN Jingyang. Spatiotemporal Variation of Vegetation Carbon Sequestration and Its Meteorological Contribution in Guangdong Province [J]. Ecology and Environment, 2022, 31(1): 1-8.
[8]	ZOU Xudong, CAI Fu, LI Rongping, MI Na, ZHAO Hujia, WANG Xiaoying, ZHANG Yunhai, WANG Hongyu, JIA Qingyu. Study on Water and Heat Flux and Energy Change of Maize Field [J]. Ecology and Environment, 2021, 30(8): 1642-1653.
[9]	DENG Huiying, CHEN Lixin, YU Yongjiang, WANG Hong. Characteristics of Ozone Pollution Distribution and Its Correlation Analysis with Meteorological Factors in Wuyishan [J]. Ecology and Environment, 2021, 30(7): 1428-1435.
[10]	ZHANG Jing, DU Jiaqiang, SHENG Zhilu, ZHANG Yangchengsi, WU Jinhua, LIU Bo. Spatio-temporal Changes of Vegetation Cover and Their Influencing Factors in the Yellow River Basin from 1982 to 2015 [J]. Ecology and Environment, 2021, 30(5): 929-937.