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Functional convergence of biosphere-atmosphere interactions in response to meteorological conditions

Krich, Christopher and Migliavacca, Mirco and Miralles, Diego G and Kraemer, Guido and El-Madany, Tarek and Reichstein, Markus and Runge, Jakob and Mahecha, Miguel D (2021) Functional convergence of biosphere-atmosphere interactions in response to meteorological conditions. Biogeosciences, 18 (7), pp. 2379-2404. Copernicus Publications. doi: 10.5194/bg-18-2379-2021. ISSN 1726-4170.

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Official URL: https://bg.copernicus.org/articles/18/2379/2021/bg-18-2379-2021-discussion.html


Understanding the dependencies of the terrestrial carbon and water cycle with meteorological conditions is a prerequisite to anticipate their behaviour under climate change conditions. However, terrestrial ecosystems and the atmosphere interact via a multitude of variables across temporal and spatial scales. Additionally these interactions might differ among vegetation types or climatic regions. Today, novel algorithms aim to disentangle the causal structure behind such interactions from empirical data. The estimated causal structures can be interpreted as networks, where nodes represent relevant meteorological variables or land-surface fluxes and the links represent the dependencies among them (possibly including time lags and link strength). Here we derived causal networks for different seasons at 119 eddy covariance flux tower observations in the FLUXNET network. We show that the networks of biosphere-atmosphere interactions are strongly shaped by meteorological conditions. For example, we find that temperate and high-latitude ecosystems during peak productivity exhibit biosphere-atmosphere interaction networks very similar to tropical forests. In times of anomalous conditions like droughts though, both ecosystems behave more like typical Mediterranean ecosystems during their dry season. Our results demonstrate that ecosystems from different climate zones or vegetation types have similar biosphere-atmosphere interactions if their meteorological conditions are similar. We anticipate our analysis to foster the use of network approaches, as they allow for a more comprehensive understanding of the state of ecosystem functioning. Long-term or even irreversible changes in network structure are rare and thus can be indicators of fundamental functional ecosystem shifts.

Item URL in elib:https://elib.dlr.de/145611/
Document Type:Article
Title:Functional convergence of biosphere-atmosphere interactions in response to meteorological conditions
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Krich, ChristopherMax-Planck-Institute for Biogeochemistry, Jena, GermanyUNSPECIFIEDUNSPECIFIED
Migliavacca, MircoMax-Planck-Institute for Biogeochemistry, Jena, GermanyUNSPECIFIEDUNSPECIFIED
Miralles, Diego GHydro-Climate Extremes Lab (H-CEL), Faculty of Bioscience Engineering, Ghent University, Ghent, BelgiumUNSPECIFIEDUNSPECIFIED
Kraemer, GuidoMax-Planck-Institute for Biogeochemistry, Jena, GermanyUNSPECIFIEDUNSPECIFIED
El-Madany, TarekMax-Planck-Institute for Biogeochemistry, Jena, GermanyUNSPECIFIEDUNSPECIFIED
Reichstein, MarkusMax-Planck-Institute for Biogeochemistry, Jena, GermanyUNSPECIFIEDUNSPECIFIED
Mahecha, Miguel DRemote Sensing Centre for Earth System Research, Leipzig University, Leipzig, GermanyUNSPECIFIEDUNSPECIFIED
Date:16 April 2021
Journal or Publication Title:Biogeosciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 2379-2404
Publisher:Copernicus Publications
Series Name:Biogeosciences
Keywords:climeate, biosphere-atmosphere interaction
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Datamangagement and Analysis
Deposited By: Käding, Christoph
Deposited On:16 Nov 2021 12:18
Last Modified:28 Jan 2022 11:13

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