Water use efficiency and carbon use efficiency response differently to greening on the Loess Plateau in China

绿化 黄土高原 中国 黄土 用水效率 环境科学 碳纤维 高原(数学) 自然资源经济学 土壤科学 地质学 经济 地理 农学 地貌学 生态学 数学 生物 数学分析 考古 算法 灌溉 复合数
作者
Wei Wang,Guangyao Gao,Yanzhang Huang,Zhuangzhuang Wang
标识
DOI:10.5194/egusphere-egu24-5887
摘要

Water use efficiency (WUE) and carbon use efficiency (CUE) in dryland ecosystems are highly sensitive to complex climate and CO2 changes, which may cause imbalance between carbon and water cycles in terrestrial ecosystems. However, the mechanism of the systematic effects of multiple factors on WUE and CUE remains unclear. Here, we examined the trends in WUE and CUE in China’s Loess Plateau during 2001-2020 and assessed the underlying drivers using PML_V2 products and satellite-based data by employing the spatial random forest (SRF) method. Our analysis identified a significantly increasing trend in WUE and a slightly downward trend in CUE. In space, NDVI was the most important factor affecting the spatial variation of WUE and CUE, but WUE had a significant positive response to NDVI, while CUE had a significant negative response to NDVI. Precipitation and CO2 concentration were the most important environmental factors driving spatial variability in WUE and CUE, respectively. However, vapor pressure deficit was the most important factor driving CUE annual variation controlling most areas of the greening region. Our research revealed that despite the improvement in water utilization, the greening of vegetation did not enhance carbon sequestration potential in the Loess Plateau. Furthermore, we demonstrated that vegetation was the most important factor causing WUE spatiotemporal variation and CUE spatial variation, while atmospheric drought inhibiting vegetation growth was the most important factor causing CUE temporal variation, reflecting the interactivity and complexity of the driving factors behind the spatial and temporal variability of WUE and CUE. Our study provides new insights into the driving characteristics of WUE and CUE spatiotemporal variability and enhances the knowledge of how the carbon-water coupling process induced by vegetation greening responds to environmental changes in arid and semi-arid regions in the backdrop of climate change, contributing to ecological restoration practices and sustainable management in the dryland.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
hy发布了新的文献求助200
刚刚
ZW发布了新的文献求助10
刚刚
scvshty发布了新的文献求助10
1秒前
1秒前
GODHAO777发布了新的文献求助10
1秒前
我是老大应助顺利凌寒采纳,获得10
1秒前
pluto应助云術采纳,获得10
2秒前
airyyak发布了新的文献求助10
3秒前
3秒前
DQY发布了新的文献求助10
4秒前
4秒前
平常的鹤轩完成签到,获得积分10
4秒前
Danma完成签到,获得积分10
4秒前
4秒前
欣喜凌蝶发布了新的文献求助10
5秒前
江山木发布了新的文献求助10
6秒前
7秒前
大个应助cwm采纳,获得10
7秒前
7秒前
8秒前
Singularity应助简单画笔采纳,获得10
8秒前
8秒前
小芦苇完成签到,获得积分10
8秒前
8秒前
雨小科发布了新的文献求助10
8秒前
9秒前
丘比特应助黄111采纳,获得10
9秒前
10秒前
10秒前
专注狗完成签到,获得积分10
10秒前
11秒前
李健应助耍酷蛋挞采纳,获得10
11秒前
Ava应助bzy采纳,获得10
11秒前
11秒前
jxx发布了新的文献求助10
12秒前
迢迢笙箫完成签到,获得积分10
12秒前
舒心聪展完成签到,获得积分10
12秒前
小北完成签到,获得积分10
12秒前
哈哈哈哈发布了新的文献求助10
13秒前
13秒前
高分求助中
Medicina di laboratorio. Logica e patologia clinica 600
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Sarcolestes leedsi Lydekker, an ankylosaurian dinosaur from the Middle Jurassic of England 500
Machine Learning for Polymer Informatics 500
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
2024 Medicinal Chemistry Reviews 480
Women in Power in Post-Communist Parliaments 450
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3217320
求助须知:如何正确求助?哪些是违规求助? 2866528
关于积分的说明 8152235
捐赠科研通 2533239
什么是DOI,文献DOI怎么找? 1366165
科研通“疑难数据库(出版商)”最低求助积分说明 644687
邀请新用户注册赠送积分活动 617684