globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.12671
论文题名:
Influence of physiological phenology on the seasonal pattern of ecosystem respiration in deciduous forests
作者: Migliavacca M.; Reichstein M.; Richardson A.D.; Mahecha M.D.; Cremonese E.; Delpierre N.; Galvagno M.; Law B.E.; Wohlfahrt G.; Andrew Black T.; Carvalhais N.; Ceccherini G.; Chen J.; Gobron N.; Koffi E.; William Munger J.; Perez-Priego O.; Robustelli M.; Tomelleri E.; Cescatti A.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2015
卷: 21, 期:1
起始页码: 363
结束页码: 376
语种: 英语
英文关键词: Deciduous forests ; Ecosystem respiration ; Eddy covariance ; FLUXNET La Thuile database ; Land-atmosphere fluxes ; Phenology
Scopus关键词: atmosphere ; biological model ; chemistry ; ecosystem ; Europe ; forest ; North America ; photosynthesis ; physiology ; plant physiology ; season ; Atmosphere ; Ecosystem ; Europe ; Forests ; Models, Biological ; North America ; Photosynthesis ; Plant Physiological Phenomena ; Seasons
英文摘要: Understanding the environmental and biotic drivers of respiration at the ecosystem level is a prerequisite to further improve scenarios of the global carbon cycle. In this study we investigated the relevance of physiological phenology, defined as seasonal changes in plant physiological properties, for explaining the temporal dynamics of ecosystem respiration (RECO) in deciduous forests. Previous studies showed that empirical RECO models can be substantially improved by considering the biotic dependency of RECO on the short-term productivity (e.g., daily gross primary production, GPP) in addition to the well-known environmental controls of temperature and water availability. Here, we use a model-data integration approach to investigate the added value of physiological phenology, represented by the first temporal derivative of GPP, or alternatively of the fraction of absorbed photosynthetically active radiation, for modeling RECO at 19 deciduous broadleaved forests in the FLUXNET La Thuile database. The new data-oriented semiempirical model leads to an 8% decrease in root mean square error (RMSE) and a 6% increase in the modeling efficiency (EF) of modeled RECO when compared to a version of the model that does not consider the physiological phenology. The reduction of the model-observation bias occurred mainly at the monthly time scale, and in spring and summer, while a smaller reduction was observed at the annual time scale. The proposed approach did not improve the model performance at several sites, and we identified as potential causes the plant canopy heterogeneity and the use of air temperature as a driver of ecosystem respiration instead of soil temperature. However, in the majority of sites the model-error remained unchanged regardless of the driving temperature. Overall, our results point toward the potential for improving current approaches for modeling RECO in deciduous forests by including the phenological cycle of the canopy. © 2014 John Wiley & Sons Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61683
Appears in Collections:影响、适应和脆弱性

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作者单位: Max Planck Institute for Biogeochemistry, PO Box 100164, Jena, Germany; Remote Sensing of Environmental Dynamics Lab, DISAT, University of Milano-Bicocca, P.zza della Scienza 1, Milan, Italy; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States; Regional Agency for Environmental Protection Valle d'Aosta (ARPA), Aosta, Italy; UMR 8079 Ecologie Systematique et Evolution, Universite Paris-Sud, Orsay, France; Department of Forest Ecosystems and Society, Oregon State University, 321 Richardson Hall, Corvallis, OR, United States; Institute for Ecology, University of Innsbruck, Sternwartestr. 15, Innsbruck, Austria; Biometeorology and Soil Physics Group, Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada; Departamento de Ciencias e Engenharia do Ambiente, DCEA, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, Monte da Caparica, Portugal; Institute for Environment and Sustainability, Climate Risk Management Unit, European Commission, Joint Research Centre, Ispra, VA, Italy; International Center for Ecology, Meteorology and Environment (IceMe), Nanjing University of Information Science and Technology, Nanjing, China; CGCEO/Geography, Michigan State University, East Lansing, MI, United States; Division of Engineering and Applied Science/Department of Earth and Planetary Science, Harvard University, Cambridge, MA, United States; Institute for Applied Remote Sensing, EURAC, Bolzano, Italy

Recommended Citation:
Migliavacca M.,Reichstein M.,Richardson A.D.,et al. Influence of physiological phenology on the seasonal pattern of ecosystem respiration in deciduous forests[J]. Global Change Biology,2015-01-01,21(1)
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