Human or climate? Differentiating the anthropogenic and climatic drivers of lake storage changes on spatial perspective via remote sensing data

高原(数学) 环境科学 降水 蓄水 气候变化 自然地理学 空间生态学 分水岭 水文学(农业) 气候学 地理 生态学 气象学 地质学 海洋学 数学分析 机器学习 岩土工程 入口 生物 计算机科学 数学
作者
Abdullah Akbaş
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:912: 168982-168982 被引量:4
标识
DOI:10.1016/j.scitotenv.2023.168982
摘要

Lakes are an essential part of the terrestrial water system in which storage changes are controlled by water balance and human impact. Although there are some attempts to define storage changes on a global scale, examination of spatial relations is poorly quantified. In this study, therefore, lake storage changes have been investigated using remote-sensing-derived data around the globe. Hence, 372 artificial/natural lakes were obtained, covering between 1992 and 2019. Watersheds belong to river was extracted via HydroSHED data. Based on watershed, dominant climate types were determined via Köppen-Geiger classification. Similarly, the areal average CRU TS v.4.05 monthly gridded precipitation time series and human footprint data based on watersheds were obtained to understand the drivers of lake storage changes. The nonparametric Mann-Kendall and Sen's slope trend analyses were applied to the lake storage change and precipiation values in order to determine long-term increases and decreases. A bivariate map was constructed between storage changes trend vs precipitation trend and human footprint to reveal the drivers of lake storage changes in terms of spatial aspects. The trend analysis and bivariate map results show that North America, the East African Highlands, and the Tibet plateau are important increasing hotspots, where precipitation is a significant driver for storage oscillations, except for the Tibet plateau. Besides, the Brazilian Highlands, Pacific Mountain System, and Intermontane of conterminous USA are other decreasing hotspots in which human footprint and decreasing precipitation collectively affect these changes. Furthermore, results clearly show that anthropogenic influence is low in the northern and mountainous areas, and storage changes have a linear relationship with precipitation. In contrast, intense human climate interaction influences lake changes in plains areas and arid/temperate climates.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
你认为233完成签到,获得积分10
1秒前
123456完成签到,获得积分10
2秒前
2秒前
BowieHuang应助老北京采纳,获得10
3秒前
丘比特应助老北京采纳,获得10
3秒前
3秒前
3秒前
Jasper应助随影采纳,获得10
4秒前
jiunuan应助天才包采纳,获得30
5秒前
5秒前
深情安青应助无聊的新波采纳,获得10
5秒前
希遇安发布了新的文献求助10
5秒前
77qoq完成签到 ,获得积分20
6秒前
KUN发布了新的文献求助10
6秒前
wanx-完成签到,获得积分20
6秒前
桐桐应助Mtoc采纳,获得10
7秒前
无花果应助和谐的饼干采纳,获得50
7秒前
英俊的铭应助deletelzr采纳,获得10
7秒前
7秒前
完美世界应助racill采纳,获得10
7秒前
8秒前
abu完成签到,获得积分10
8秒前
8秒前
无限符号完成签到,获得积分10
8秒前
科研通AI6应助zhenqiqin采纳,获得10
9秒前
好奇宝宝发布了新的文献求助10
9秒前
wanx-发布了新的文献求助80
10秒前
汉堡包应助渊_采纳,获得10
11秒前
11秒前
jianlong0206完成签到 ,获得积分10
11秒前
默默犀牛完成签到 ,获得积分10
11秒前
清爽安青发布了新的文献求助10
11秒前
11秒前
12秒前
南风不竞发布了新的文献求助10
12秒前
JamesPei应助可可豆战士采纳,获得10
13秒前
浮游应助芝士采纳,获得10
13秒前
jiunuan应助芝士采纳,获得10
13秒前
顾矜应助芝士采纳,获得10
13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
List of 1,091 Public Pension Profiles by Region 1581
Encyclopedia of Agriculture and Food Systems Third Edition 1500
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
Biology of the Reptilia. Volume 21. Morphology I. The Skull and Appendicular Locomotor Apparatus of Lepidosauria 600
The Scope of Slavic Aspect 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5536588
求助须知:如何正确求助?哪些是违规求助? 4624228
关于积分的说明 14591085
捐赠科研通 4564722
什么是DOI,文献DOI怎么找? 2501884
邀请新用户注册赠送积分活动 1480627
关于科研通互助平台的介绍 1451937