Eutrophication and temperature drive large variability in carbon dioxide from China's Lake Taihu

富营养化 环境科学 营养物 二氧化碳 生态系统 气候变化 全球变暖 碳循环 水华 湖泊生态系统 海洋学 水文学(农业) 大气科学 生态学 浮游植物 地质学 生物 岩土工程
作者
Qitao Xiao,Hongtao Duan,Boqiang Qin,Zhenghua Hu,Mi Zhang,Tianci Qi,Xuhui Lee
出处
期刊:Limnology and Oceanography [Wiley]
卷期号:67 (2): 379-391 被引量:73
标识
DOI:10.1002/lno.11998
摘要

Abstract Eutrophication and warming are changing the functioning of lake ecosystems, and their impacts on lake carbon dioxide (CO 2 ) variability have received increasing attention. However, how eutrophication and warming change lakes' carbon cycle has not been determined. Here, the surface partial pressure of CO 2 ( p CO 2 ) and CO 2 flux in Lake Taihu, a large and eutrophic lake in eastern China, was investigated based on monthly samplings over a 24‐yr period (1992–2015), during which the lake experienced profound anthropogenic and climate changes. The results showed that eutrophication caused by nutrient enrichment plays a role in three aspects: (1) nutrient concentrations controlled the CO 2 variability on decadal scales; (2) peak p CO 2 and CO 2 fluxes occurred in river mouths due to large external nutrient loading inputs; and (3) eutrophication effects on CO 2 varied among subzones, which was linked to external inputs and in‐lake primary production. Meanwhile, temperature controls the seasonal variation in CO 2 by stimulating primary production, leading to significantly lower p CO 2 and CO 2 fluxes in warm seasons with algal blooms. Further analysis suggested that temperature effects varied spatially and temporally, high nutrient loading may confound the temperature effects via stimulating CO 2 production. To our knowledge, this study presents the longest field measurements (24 yr) of CO 2 from such large and ice‐free freshwater lakes with monthly surveys, which may provide a powerful example to demonstrate that eutrophication and warming can shape CO 2 variability from a temporal perspective. Future studies should focus on the interactive warming and eutrophication effects to accurately predict future CO 2 emission.
最长约 10秒,即可获得该文献文件

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
专注的念桃完成签到,获得积分10
2秒前
风趣的芒果完成签到,获得积分10
2秒前
6秒前
c1302128340完成签到,获得积分10
8秒前
JamesPei应助忐忑的红牛采纳,获得10
10秒前
大个应助Tsuki采纳,获得10
10秒前
DoctorXu完成签到,获得积分10
11秒前
嘻嘻完成签到,获得积分10
13秒前
Garnieta完成签到,获得积分10
14秒前
活力白亦完成签到 ,获得积分10
15秒前
Cwin完成签到,获得积分10
15秒前
16秒前
酷酷的麦片完成签到,获得积分10
16秒前
17秒前
科研通AI6应助令宏采纳,获得10
18秒前
BowieHuang应助科研通管家采纳,获得10
20秒前
orixero应助科研通管家采纳,获得10
20秒前
ding应助科研通管家采纳,获得10
20秒前
桐桐应助科研通管家采纳,获得10
20秒前
20秒前
英吉利25发布了新的文献求助30
21秒前
22秒前
kingwill应助心灵美的不愁采纳,获得20
24秒前
24秒前
26秒前
27秒前
赘婿应助pangkuan采纳,获得10
29秒前
jiajx21发布了新的文献求助10
29秒前
30秒前
liuzy完成签到,获得积分10
30秒前
chris完成签到,获得积分10
33秒前
心灵美的不愁给心灵美的不愁的求助进行了留言
34秒前
田様应助鱼子不吃饭采纳,获得10
34秒前
novQ发布了新的文献求助10
35秒前
烟花应助norville采纳,获得10
37秒前
37秒前
agnes完成签到,获得积分10
37秒前
小希发布了新的文献求助10
37秒前
38秒前
传奇3应助jiajx21采纳,获得10
40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 1621
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 600
Essential Guides for Early Career Teachers: Mental Well-being and Self-care 500
A Guide to Genetic Counseling, 3rd Edition 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5563635
求助须知:如何正确求助?哪些是违规求助? 4648551
关于积分的说明 14685268
捐赠科研通 4590482
什么是DOI,文献DOI怎么找? 2518601
邀请新用户注册赠送积分活动 1491196
关于科研通互助平台的介绍 1462478