Abrupt changes in algal biomass of thousands of US lakes are related to climate and are more likely in low-disturbance watersheds

扰动(地质) 生物量(生态学) 环境科学 气候变化 降水 生态学 政权更迭 气候学 大气科学 水华 生态系统 地理 浮游植物 生物 地质学 营养物 气象学 古生物学
作者
Patricia A. Soranno,Patrick J. Hanly,Katherine E. Webster,Tyler Wagner,Andrew McDonald,Arnab Shuvo,Erin M. Schliep,Kaitlin L. Reinl,Ian M. McCullough,Pang‐Ning Tan,Noah R. Lottig,Kendra Spence Cheruvelil
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:122 (9)
标识
DOI:10.1073/pnas.2416172122
摘要

Climate change is predicted to intensify lake algal blooms globally and result in regime shifts. However, observed increases in algal biomass do not consistently correlate with air temperature or precipitation, and evidence is lacking for a causal effect of climate or the nonlinear dynamics needed to demonstrate regime shifts. We modeled the causal effects of climate on annual lake chlorophyll (a measure of algal biomass) over 34 y for 24,452 lakes across broad ecoclimatic zones of the United States and evaluated the potential for regime shifts. We found that algal biomass was causally related to climate in 34% of lakes. In these cases, 71% exhibited abrupt but mostly temporary shifts as opposed to persistent changes, 13% had the potential for regime shifts. Climate was causally related to algal biomass in lakes experiencing all levels of human disturbance, but with different likelihood. Climate causality was most likely to be observed in lakes with minimal human disturbance and cooler summer temperatures that have increased over the 34 y studied. Climate causality was variable in lakes with low to moderate human disturbance, and least likely in lakes with high human disturbance, which may mask climate causality. Our results explain some of the previously observed heterogeneous climate responses of lake algal biomass globally and they can be used to predict future climate effects on lakes.

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
xopla完成签到,获得积分10
1秒前
2秒前
2秒前
2秒前
wanci应助卡萨卡萨采纳,获得10
3秒前
自由安波发布了新的文献求助10
3秒前
4秒前
4秒前
抓到你啦完成签到,获得积分10
4秒前
4秒前
充电宝应助kingmantj采纳,获得10
4秒前
高大沧海发布了新的文献求助30
4秒前
隐形曼青应助long83961258采纳,获得10
6秒前
aiqiangyu发布了新的文献求助10
7秒前
嘉嘉完成签到 ,获得积分10
7秒前
orixero应助王大锤采纳,获得10
7秒前
酷酷嵩完成签到,获得积分20
7秒前
任性白云完成签到,获得积分10
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
隐形曼青应助科研通管家采纳,获得10
8秒前
CodeCraft应助科研通管家采纳,获得10
8秒前
Orange应助科研通管家采纳,获得10
8秒前
8秒前
香蕉觅云应助科研通管家采纳,获得10
8秒前
CodeCraft应助科研通管家采纳,获得10
8秒前
勤恳书蝶发布了新的文献求助10
8秒前
Akim应助科研通管家采纳,获得10
8秒前
桐桐应助科研通管家采纳,获得10
8秒前
李健应助谷歌采纳,获得10
8秒前
香蕉觅云应助科研通管家采纳,获得10
8秒前
星辰大海应助科研通管家采纳,获得10
8秒前
顾矜应助科研通管家采纳,获得10
8秒前
小飞七应助科研通管家采纳,获得10
8秒前
8秒前
SciGPT应助科研通管家采纳,获得10
8秒前
Owen应助科研通管家采纳,获得10
9秒前
9秒前
Whisper发布了新的文献求助10
9秒前
9秒前
香蕉觅云应助科研通管家采纳,获得10
9秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 610
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
Time Matters: On Theory and Method 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3560631
求助须知:如何正确求助?哪些是违规求助? 3134599
关于积分的说明 9408231
捐赠科研通 2834785
什么是DOI,文献DOI怎么找? 1558213
邀请新用户注册赠送积分活动 728009
科研通“疑难数据库(出版商)”最低求助积分说明 716667