Spatial and temporal variability in summertime dissolved carbon dioxide and methane in temperate ponds and shallow lakes

环境科学 空间变异性 温带气候 时间尺度 二氧化碳 温室气体 甲烷 大气科学 大气(单位) 生物地球化学循环 水文学(农业) 生态学 地质学 地理 气象学 生物 统计 岩土工程 数学
作者
Nicholas E. Ray,Meredith A. Holgerson,Mikkel René Andersen,Jānis Bikše,Lauren E. Bortolotti,Martyn N. Futter,Ilga Kokorīte,Alan Law,Cory P. McDonald,Jorrit P. Mesman,Mike Peacock,David C. Richardson,Julien Arsenault,Sheel Bansal,Kaelin M. Cawley,McKenzie A. Kuhn,Amir Reza Shahabinia,Facundo Smufer
出处
期刊:Limnology and Oceanography [Wiley]
卷期号:68 (7): 1530-1545 被引量:12
标识
DOI:10.1002/lno.12362
摘要

Abstract Small waterbodies have potentially high greenhouse gas emissions relative to their small footprint on the landscape, although there is high uncertainty in model estimates. Scaling their carbon dioxide (CO 2 ) and methane (CH 4 ) exchange with the atmosphere remains challenging due to an incomplete understanding and characterization of spatial and temporal variability in CO 2 and CH 4 . Here, we measured partial pressures of CO 2 ( p CO 2 ) and CH 4 ( p CH 4 ) across 30 ponds and shallow lakes during summer in temperate regions of Europe and North America. We sampled each waterbody in three locations at three times during the growing season, and tested which physical, chemical, and biological characteristics related to the means and variability of p CO 2 and p CH 4 in space and time. Summer means of p CO 2 and p CH 4 were inversely related to waterbody size and positively related to floating vegetative cover; p CO 2 was also positively related to dissolved phosphorus. Temporal variability in partial pressure in both gases weas greater than spatial variability. Although sampling on a single date was likely to misestimate mean seasonal p CO 2 by up to 26%, mean seasonal p CH 4 could be misestimated by up to 64.5%. Shallower systems displayed the most temporal variability in p CH 4 and waterbodies with more vegetation cover had lower temporal variability. Inland waters remain one of the most uncertain components of the global carbon budget; understanding spatial and temporal variability will ultimately help us to constrain our estimates and inform research priorities.

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
1秒前
Eurus完成签到,获得积分10
2秒前
牛马哥完成签到,获得积分10
3秒前
李健应助微生采纳,获得10
3秒前
爆米花应助zz采纳,获得10
3秒前
ys716发布了新的文献求助10
4秒前
5秒前
溜了溜了发布了新的文献求助10
5秒前
懵懂的丸子完成签到,获得积分10
6秒前
6秒前
Betty发布了新的文献求助10
7秒前
llw发布了新的文献求助10
7秒前
7秒前
看文献了发布了新的文献求助10
8秒前
10秒前
qiaoyun发布了新的文献求助10
11秒前
zyy123888完成签到,获得积分10
12秒前
12秒前
无奈的丹寒完成签到,获得积分10
14秒前
传奇3应助66666666666666采纳,获得10
14秒前
liao完成签到 ,获得积分10
15秒前
科研通AI6.1应助Abel采纳,获得10
15秒前
CodeCraft应助满意的丹蝶采纳,获得10
16秒前
共享精神应助Accccc采纳,获得10
18秒前
19秒前
19秒前
20秒前
隐形曼青应助yyy采纳,获得10
22秒前
xyj完成签到,获得积分20
22秒前
JOHNLJY发布了新的文献求助10
23秒前
微生发布了新的文献求助10
24秒前
24秒前
单纯板栗发布了新的文献求助10
26秒前
Orange应助动听的雁枫采纳,获得10
26秒前
27秒前
SciGPT应助01231009yrjz采纳,获得10
27秒前
27秒前
轻松苠完成签到,获得积分10
29秒前
科研通AI6.1应助吃宝宝采纳,获得10
29秒前
共享精神应助KCC采纳,获得10
29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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018459
求助须知:如何正确求助?哪些是违规求助? 7607110
关于积分的说明 16159240
捐赠科研通 5166074
什么是DOI,文献DOI怎么找? 2765191
邀请新用户注册赠送积分活动 1746699
关于科研通互助平台的介绍 1635359