在混交林中,土壤和森林地面呼吸已经适应了温度的升高。

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY
Ecological Processes Pub Date : 2025-01-01 Epub Date: 2025-09-01 DOI:10.1186/s13717-025-00639-4
Liliana Scapucci, Luana Krebs, Susanne Burri, Lukas Hörtnagl, Nina Buchmann
{"title":"在混交林中,土壤和森林地面呼吸已经适应了温度的升高。","authors":"Liliana Scapucci, Luana Krebs, Susanne Burri, Lukas Hörtnagl, Nina Buchmann","doi":"10.1186/s13717-025-00639-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Forest ecosystems are in the spotlight for their potential to mitigate anthropogenic carbon dioxide (CO<sub>2</sub>) emissions through net photosynthesis. However, this mitigation potential can be counteracted by respiratory losses, e.g., from soils and the forest floor. With global warming, soil respiration (SR) rates are expected to increase, unless acclimation occurs. Using manual and automated chambers as well as a below-canopy eddy-covariance system, we quantified SR and forest floor net CO<sub>2</sub> exchange (NEE<sub>ff</sub>) for 13 years throughout an 18-year study period (2006-2010, 2015-2016, 2018-2023) in a mixed deciduous forest ecosystem in Switzerland. We identified the contribution of environmental drivers for SR and NEE<sub>ff</sub> using Extreme Gradient Boosting models and Shapley additive explanations (SHAP) analyses and assessed the long-term temperature sensitivity of SR and NEE<sub>ff</sub>.</p><p><strong>Results: </strong>Over the 18-year study period, soil temperature increased significantly and was the main driver of both SR and NEE<sub>ff</sub>, explaining over 50% of their temporal variability. Differences in drivers and magnitudes of SR vs. NEE<sub>ff</sub> were only found in early spring, when the forest floor vegetation showed net CO<sub>2</sub> uptake. Finally, we found no evidence that SR or NEE<sub>ff</sub> (at mean annual temperatures) had increased between 2006 and 2023. Similarly, no significant change in the temperature sensitivity of SR and NEE<sub>ff</sub> was observed.</p><p><strong>Conclusions: </strong>Combining multiple techniques to assess long-term responses of CO<sub>2</sub> fluxes to environmental conditions with machine learning approaches enhanced our understanding of forest responses to climate change. Moreover, our findings suggest that soil and forest floor respiration already acclimated to warmer conditions, highly relevant for predicting future mitigation potentials of forest ecosystems.</p>","PeriodicalId":11419,"journal":{"name":"Ecological Processes","volume":"14 1","pages":"71"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12399736/pdf/","citationCount":"0","resultStr":"{\"title\":\"Soil and forest floor respiration already acclimated to increasing temperatures in a mixed deciduous forest.\",\"authors\":\"Liliana Scapucci, Luana Krebs, Susanne Burri, Lukas Hörtnagl, Nina Buchmann\",\"doi\":\"10.1186/s13717-025-00639-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Forest ecosystems are in the spotlight for their potential to mitigate anthropogenic carbon dioxide (CO<sub>2</sub>) emissions through net photosynthesis. However, this mitigation potential can be counteracted by respiratory losses, e.g., from soils and the forest floor. With global warming, soil respiration (SR) rates are expected to increase, unless acclimation occurs. Using manual and automated chambers as well as a below-canopy eddy-covariance system, we quantified SR and forest floor net CO<sub>2</sub> exchange (NEE<sub>ff</sub>) for 13 years throughout an 18-year study period (2006-2010, 2015-2016, 2018-2023) in a mixed deciduous forest ecosystem in Switzerland. We identified the contribution of environmental drivers for SR and NEE<sub>ff</sub> using Extreme Gradient Boosting models and Shapley additive explanations (SHAP) analyses and assessed the long-term temperature sensitivity of SR and NEE<sub>ff</sub>.</p><p><strong>Results: </strong>Over the 18-year study period, soil temperature increased significantly and was the main driver of both SR and NEE<sub>ff</sub>, explaining over 50% of their temporal variability. Differences in drivers and magnitudes of SR vs. NEE<sub>ff</sub> were only found in early spring, when the forest floor vegetation showed net CO<sub>2</sub> uptake. Finally, we found no evidence that SR or NEE<sub>ff</sub> (at mean annual temperatures) had increased between 2006 and 2023. Similarly, no significant change in the temperature sensitivity of SR and NEE<sub>ff</sub> was observed.</p><p><strong>Conclusions: </strong>Combining multiple techniques to assess long-term responses of CO<sub>2</sub> fluxes to environmental conditions with machine learning approaches enhanced our understanding of forest responses to climate change. Moreover, our findings suggest that soil and forest floor respiration already acclimated to warmer conditions, highly relevant for predicting future mitigation potentials of forest ecosystems.</p>\",\"PeriodicalId\":11419,\"journal\":{\"name\":\"Ecological Processes\",\"volume\":\"14 1\",\"pages\":\"71\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12399736/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Processes\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1186/s13717-025-00639-4\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/9/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Processes","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1186/s13717-025-00639-4","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/1 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景:森林生态系统因其通过净光合作用减轻人为二氧化碳(CO2)排放的潜力而备受关注。然而,这种缓解潜力可被呼吸损失抵消,例如土壤和森林地面造成的呼吸损失。随着全球变暖,土壤呼吸(SR)速率预计会增加,除非发生驯化。利用手动和自动实验箱以及冠下涡旋协方差系统,在18年的研究期间(2006-2010年、2015-2016年、2018-2023年),对瑞士混合落叶森林生态系统13年的SR和森林地面净CO2交换(NEEff)进行了量化。我们利用极端梯度增强模型和Shapley加性解释(SHAP)分析确定了SR和NEEff的环境驱动因素的贡献,并评估了SR和NEEff的长期温度敏感性。结果:在18年的研究期间,土壤温度显著升高,是SR和NEEff的主要驱动因素,解释了它们50%以上的时间变异。SR与NEEff的驱动因素和大小仅在早春发现差异,此时森林地面植被表现出净CO2吸收。最后,我们没有发现在2006 - 2023年期间SR或NEEff(年平均温度)增加的证据。同样,SR和NEEff的温度敏感性也没有明显变化。结论:将多种技术与机器学习方法结合起来评估二氧化碳通量对环境条件的长期响应,增强了我们对森林对气候变化响应的理解。此外,我们的研究结果表明,土壤和森林地面呼吸已经适应了更温暖的条件,这与预测未来森林生态系统的缓解潜力高度相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Soil and forest floor respiration already acclimated to increasing temperatures in a mixed deciduous forest.

Soil and forest floor respiration already acclimated to increasing temperatures in a mixed deciduous forest.

Soil and forest floor respiration already acclimated to increasing temperatures in a mixed deciduous forest.

Soil and forest floor respiration already acclimated to increasing temperatures in a mixed deciduous forest.

Background: Forest ecosystems are in the spotlight for their potential to mitigate anthropogenic carbon dioxide (CO2) emissions through net photosynthesis. However, this mitigation potential can be counteracted by respiratory losses, e.g., from soils and the forest floor. With global warming, soil respiration (SR) rates are expected to increase, unless acclimation occurs. Using manual and automated chambers as well as a below-canopy eddy-covariance system, we quantified SR and forest floor net CO2 exchange (NEEff) for 13 years throughout an 18-year study period (2006-2010, 2015-2016, 2018-2023) in a mixed deciduous forest ecosystem in Switzerland. We identified the contribution of environmental drivers for SR and NEEff using Extreme Gradient Boosting models and Shapley additive explanations (SHAP) analyses and assessed the long-term temperature sensitivity of SR and NEEff.

Results: Over the 18-year study period, soil temperature increased significantly and was the main driver of both SR and NEEff, explaining over 50% of their temporal variability. Differences in drivers and magnitudes of SR vs. NEEff were only found in early spring, when the forest floor vegetation showed net CO2 uptake. Finally, we found no evidence that SR or NEEff (at mean annual temperatures) had increased between 2006 and 2023. Similarly, no significant change in the temperature sensitivity of SR and NEEff was observed.

Conclusions: Combining multiple techniques to assess long-term responses of CO2 fluxes to environmental conditions with machine learning approaches enhanced our understanding of forest responses to climate change. Moreover, our findings suggest that soil and forest floor respiration already acclimated to warmer conditions, highly relevant for predicting future mitigation potentials of forest ecosystems.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ecological Processes
Ecological Processes Environmental Science-Ecological Modeling
CiteScore
8.50
自引率
4.20%
发文量
64
审稿时长
13 weeks
期刊介绍: Ecological Processes is an international, peer-reviewed, open access journal devoted to quality publications in ecological studies with a focus on the underlying processes responsible for the dynamics and functions of ecological systems at multiple spatial and temporal scales. The journal welcomes manuscripts on techniques, approaches, concepts, models, reviews, syntheses, short communications and applied research for advancing our knowledge and capability toward sustainability of ecosystems and the environment. Integrations of ecological and socio-economic processes are strongly encouraged.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信