Climate Change Data Portal
DOI | 10.1029/2018GB005979 |
Evaluations of Climate and Land Management Effects on Lake Carbon Cycling Need to Account for Temporal Variability in CO2 Concentrations | |
Klaus M.; Seekell D.A.; Lidberg W.; Karlsson J. | |
发表日期 | 2019 |
ISSN | 0886-6236 |
EISSN | 1944-9224 |
起始页码 | 243 |
结束页码 | 265 |
卷号 | 33期号:3 |
英文摘要 | Carbon dioxide (CO2) concentrations in lakes vary strongly over time. This variability is rarely captured by environmental monitoring but is crucial for accurately assessing the magnitude of lake CO2 emissions. However, it is unknown to what extent temporal variability needs to be captured to understand important drivers of lake carbon cycling such as climate and land management. We used environmental monitoring data of Swedish forest lakes collected in autumn (n = 439) and throughout the whole open water season (n = 22) from a wet and a dry year to assess temporal variability in effects of climate and forestry on CO2 concentrations across lakes. Effects differed depending on the season and year sampled. According to cross-lake comparisons based on autumn data, CO2 concentrations increased with annual mean air temperature (dry year) or catchment forest productivity (wet year) but were not related to colored dissolved organic matter concentrations. In contrast, open water-season averaged CO2 concentrations were similar across temperature and productivity gradients but increased with colored dissolved organic matter. These contradictions resulted from scale mismatches in input data, lead to weak explanatory power (R2 = 9–32%), and were consistent across published data from 79 temperate, boreal, and arctic lakes. In a global survey of 144 published studies, we identified a trade-off between temporal and spatial coverage of CO2 sampling. This trade-off clearly determines which conclusions are drawn from landscape-scale CO2 assessments. Accurate evaluations of the effects of climate and land management require spatially and temporally representative data that can be provided by emerging sensor technologies and forms of collaborative sampling. ©2019. American Geophysical Union. All Rights Reserved. |
英文关键词 | carbon cycling; greenhouse gas; lake; sampling; seasonality; structural equation modeling |
语种 | 英语 |
scopus关键词 | air temperature; carbon cycle; carbon dioxide; carbon emission; concentration (composition); dissolved organic matter; environmental monitoring; greenhouse gas; lacustrine environment; land management; modeling; open water; sampling; seasonal variation; temporal variation; Sweden |
来源期刊 | Global Biogeochemical Cycles
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/129743 |
作者单位 | Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden; Climate Impacts Research Centre, Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden; Department of Forest Ecology and Management, Swedish University of Agricultural Science, Umeå, Sweden |
推荐引用方式 GB/T 7714 | Klaus M.,Seekell D.A.,Lidberg W.,et al. Evaluations of Climate and Land Management Effects on Lake Carbon Cycling Need to Account for Temporal Variability in CO2 Concentrations[J],2019,33(3). |
APA | Klaus M.,Seekell D.A.,Lidberg W.,&Karlsson J..(2019).Evaluations of Climate and Land Management Effects on Lake Carbon Cycling Need to Account for Temporal Variability in CO2 Concentrations.Global Biogeochemical Cycles,33(3). |
MLA | Klaus M.,et al."Evaluations of Climate and Land Management Effects on Lake Carbon Cycling Need to Account for Temporal Variability in CO2 Concentrations".Global Biogeochemical Cycles 33.3(2019). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。