Quantifying the Contributions of Vegetation Dynamics and Climate Factors to the Enhancement of Vegetation Productivity in Northern China (2001–2020)

中国 植被(病理学) 环境科学 生产力 自然地理学 地理 宏观经济学 经济 病理 考古 医学
作者
K. Liu,Xufeng Wang,Haibo Wang
出处
期刊:Remote Sensing [MDPI AG]
卷期号:16 (20): 3813-3813
标识
DOI:10.3390/rs16203813
摘要

Vegetation dynamics are critical to the terrestrial carbon and water cycle, with China recognized as one of the largest contributors to global greening due to significant variations in forest coverage. However, distinguishing the effects of vegetation changes from those of climate factors on vegetation productivity remains challenging. This study conducted a comprehensive analysis of vegetation productivity in Northwest China over the past two decades, focusing on the spatiotemporal patterns and drivers of gross primary production (GPP) within ecological restoration areas. Using trend analysis and ridge regression models, we assessed the relative contributions of climate factors and vegetation coverage changes to GPP dynamics. The results revealed a significant increase in both the GPP and vegetation coverage in Northern China from 2001 to 2020, with GPP rising by 6.7 g C m−2 yr−1 and forest coverage increasing by 0.08% per year. A strong positive correlation (r = 0.9) was observed between vegetation coverage changes and GPP. The increase in GPP was driven by both climate factors and changes in forest coverage, with climate factors contributing 61.0% and vegetation coverage changes contributing 39.0%. Among the climate factors, radiation, temperature, and precipitation contributed 15.4%, 6.4%, and 39.2%, respectively. The study highlights the critical role of ecological restoration efforts, particular in regions like the Less Plateau and Inner Mongolian Plateau, in enhancing vegetation productivity. These findings provide valuable insights for addressing desertification and inform strategies for ecological restoration and sustainable development in Northern China.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
炙热的雨双完成签到 ,获得积分10
刚刚
Alina1874完成签到,获得积分10
刚刚
华CC完成签到,获得积分20
刚刚
燕燕于飞发布了新的文献求助10
刚刚
李小伟完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
怡然的迎波完成签到,获得积分10
1秒前
在水一方应助熊猫奶盖茶采纳,获得30
2秒前
莹莹啊发布了新的文献求助10
2秒前
meng发布了新的文献求助10
2秒前
Johnson完成签到 ,获得积分10
2秒前
汉堡包应助嘿嘿采纳,获得10
2秒前
流川枫发布了新的文献求助10
3秒前
淋延发布了新的文献求助10
3秒前
3秒前
Daisy完成签到,获得积分10
4秒前
小二郎应助华CC采纳,获得10
4秒前
舒心一笑发布了新的文献求助50
4秒前
万椿完成签到,获得积分10
4秒前
nbnb完成签到,获得积分10
4秒前
4秒前
5秒前
5秒前
窗外的天气完成签到,获得积分10
5秒前
shim完成签到,获得积分10
5秒前
SciGPT应助叶落花开采纳,获得10
5秒前
5秒前
L。发布了新的文献求助10
5秒前
蓝莓橘子酱应助科研巨额采纳,获得20
6秒前
6秒前
xixi完成签到 ,获得积分10
6秒前
张鑫完成签到,获得积分10
6秒前
万椿发布了新的文献求助10
6秒前
Lil_Bear完成签到,获得积分10
7秒前
甜蜜的寒凡完成签到,获得积分10
7秒前
田様应助李慧采纳,获得10
7秒前
hrzmath完成签到,获得积分10
7秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6052010
求助须知:如何正确求助?哪些是违规求助? 7865024
关于积分的说明 16272139
捐赠科研通 5197350
什么是DOI,文献DOI怎么找? 2780972
邀请新用户注册赠送积分活动 1763877
关于科研通互助平台的介绍 1645832