44566
2019
2019
eng
habilitation
1
--
--
2019-10-24
The influence of disturbance, climate extremes and land-use change on vegetation dynamics
Habilitation, Universiät Potsdam, 2019
false
true
Kirsten Thonicke
Geowissenschaften
Institut für Umweltwissenschaften und Geographie
Universität Potsdam
Universität Potsdam
49889
2019
2019
eng
674
684
11
4
22
article
Wiley
Hoboken
1
2019-02-08
2019-02-08
--
The dimensionality of stability depends on disturbance type
Ecosystems respond in various ways to disturbances. Quantifying ecological stability therefore requires inspecting multiple stability properties, such as resistance, recovery, persistence and invariability. Correlations among these properties can reduce the dimensionality of stability, simplifying the study of environmental effects on ecosystems. A key question is how the kind of disturbance affects these correlations. We here investigated the effect of three disturbance types (random, species-specific, local) applied at four intensity levels, on the dimensionality of stability at the population and community level. We used previously parameterized models that represent five natural communities, varying in species richness and the number of trophic levels. We found that disturbance type but not intensity affected the dimensionality of stability and only at the population level. The dimensionality of stability also varied greatly among species and communities. Therefore, studying stability cannot be simplified to using a single metric and multi-dimensional assessments are still to be recommended.
Ecology letters
10.1111/ele.13226
30734447
1461-023X
1461-0248
wos:2019
WOS:000460768100012
Radchuk, V (reprint author), Leibniz Inst Zoo & Wildlife Res IZW, Dept Ecol Dynam, Alfred Kowalke Str 17, Berlin, Germany., radchuk@izw-berlin.de
BioMove Research Training Group of the German Research Foundation [DFG-GRK 2118/1]; DFG Priority Program 1374, "Infrastructure-Biodiversity-Exploratories" [DFG-JE 207/5-1]; Research Foundation FlandersFWO [FWO14/ASP/075]; Fund for Scientific Research, FNRSFonds de la Recherche Scientifique - FNRS [PDR T.0048.16]; VILLUM FONDEN [16549]
2021-03-11T12:58:47+00:00
sword
importub
filename=package.tar
3ad4111e10024249c3eb5b314f422228
Radchuk, Viktoriia
false
true
Viktoriia Radchuk
Frederik De Laender
Juliano Sarmento Cabral
Isabelle Boulangeat
Michael Scott Crawford
Friedrich Bohn
Jonathan De Raedt
Cedric Scherer
Jens-Christian Svenning
Kirsten Thonicke
Frank M. Schurr
Volker Grimm
Stephanie Kramer-Schadt
eng
uncontrolled
Community model
eng
uncontrolled
disturbance intensity
eng
uncontrolled
disturbance type
eng
uncontrolled
extinction
eng
uncontrolled
individual-based model
eng
uncontrolled
invariability
eng
uncontrolled
persistence
eng
uncontrolled
recovery
eng
uncontrolled
resistance
Biowissenschaften; Biologie
Institut für Biochemie und Biologie
Referiert
Import
62820
2021
2021
eng
3033
3044
12
14-15
230
article
Springer
Berlin ; Heidelberg
1
2021-06-24
2021-06-24
--
Spatio-temporal patterns of extreme fires in Amazonian forests
Fires are a fundamental part of the Earth System. In the last decades, they have been altering ecosystem structure, biogeochemical cycles and atmospheric composition with unprecedented rapidity. In this study, we implement a complex networks-based methodology to track individual fires over space and time. We focus on extreme fires-the 5% most intense fires-in the tropical forests of the Brazilian Legal Amazon over the period 2002-2019. We analyse the interannual variability in the number and spatial patterns of extreme forest fires in years with diverse climatic conditions and anthropogenic pressure to examine potential synergies between climate and anthropogenic drivers. We observe that major droughts, that increase forest flammability, co-occur with high extreme fire years but also that it is fundamental to consider anthropogenic activities to understand the distribution of extreme fires. Deforestation fires, fires escaping from managed lands, and other types of forest degradation and fragmentation provide the ignition sources for fires to ignite in the forests. We find that all extreme forest fires identified are located within a 0.5-km distance from forest edges, and up to 56% of them are within a 1-km distance from roads (which increases to 73% within 5 km), showing a strong correlation that defines spatial patterns of extreme fires.
European physical journal special topics
10.1140/epjs/s11734-021-00164-3
1951-6355
1951-6401
outputup:dataSource:WoS:2021
WOS:000665765800001
Cano Crespo, Ana (corresponding author), Potsdam Inst Climate Impact Res, Potsdam, Germany.; Cano-Crespo, A (corresponding author), Humboldt Univ, Geog Dept, Berlin, Germany., canocrespoana@gmail.com
DFG/FAPESP [IRTG 1740/TRP 2011/50151-0]; BMBFFederal Ministry of Education & Research (BMBF); Belmont Forum-funded project "CLIMAX: Climate services through knowledge co-production: A Euro-South American initiative for strengthening societal adaptation response to extreme events" [FKZ 01LP1610A]; State of Brandenburg (Germany) through the Ministry of Science and Education; [IRTG 1740/TRP]
Cano-Crespo, Ana
2024-02-29T11:24:07+00:00
sword
importub
filename=package.tar
a63dd0023c6104f759ecb5a172ac6ae4
false
true
CC-BY - Namensnennung 4.0 International
Ana Cano Crespo
Dominik Traxl
Kirsten Thonicke
Physik
Referiert
Institut für Umweltwissenschaften und Geographie
Import
Hybrid Open-Access
44776
2016
2016
eng
1032
+
6
6
article
Nature Publ. Group
London
1
--
--
--
Resilience of Amazon forests emerges from plant trait diversity
Nature climate change
10.1038/NCLIMATE3109
1758-678X
1758-6798
wos2016:2019
WOS:000389428300019
Sakschewski, B (reprint author), Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany.; Sakschewski, B (reprint author), Berlin Brandenburg Inst Adv Biodivers Res BBIB, D-14195 Berlin, Germany., boris.sakschewski@pik-potsdam.de
European Union Seventh Framework Programme [283093]; Helmholtz Alliance traits; DIVERSITAS; IGBP; Global Land Project; UK Natural Environment Research Council (NERC) through its program QUEST (Quantifying and Understanding the Earth System); French Foundation for Biodiversity
importub
2020-03-22T13:00:02+00:00
filename=package.tar
a97a76ec8e7e7f83329a756924b4f3f2
Boris Sakschewski
Werner von Bloh
Alice Boit
Lourens Poorter
Marielos Pe~na-Claros
Jens Heinke
Jasmin Radha Joshi
Kirsten Thonicke
Institut für Biochemie und Biologie
Referiert
Import
38463
2015
2015
eng
12
21
10
35
article
Elsevier
Oxford
1
--
--
--
National indicators for observing ecosystem service change
Earth's life-support systems are in rapid decline, yet we have few metrics or indicators with which to track these changes. The world's governments are calling for biodiversity and ecosystem-service monitoring to guide and evaluate international conservation policy as well as to incorporate natural capital into their national accounts. The Group on Earth Observations Biodiversity Observation Network (GEO BON) has been tasked with setting up this monitoring system. Here we explore the immediate feasibility of creating a global ecosystem-service monitoring platform under the GEO BON framework through combining data from national statistics, global vegetation models, and production function models. We found that nine ecosystem services could be annually reported at a national scale in the short term: carbon sequestration, water supply for hydropower, and non-fisheries marine products, crop, livestock, game meat, fisheries, mariculture, and timber production. Reported changes in service delivery over time reflected ecological shocks (e.g., droughts and disease outbreaks), highlighting the immediate utility of this monitoring system. Our work also identified three opportunities for creating a more comprehensive monitoring system. First, investing in input data for ecological process models (e.g., global land-use maps) would allow many more regulating services to be monitored. Currently, only 1 of 9 services that can be reported is a regulating service. Second, household surveys and censuses could help evaluate how nature affects people and provides non-monetary benefits. Finally, to forecast the sustainability of service delivery, research efforts could focus on calculating the total remaining biophysical stocks of provisioning services. Regardless, we demonstrated that a preliminary ecosystem-service monitoring platform is immediately feasible. With sufficient international investment, the platform could evolve further into a much-needed system to track changes in our planet's life-support systems. (C) 2015 Elsevier Ltd. All rights reserved.
Global environmental change : human and policy dimensions
10.1016/j.gloenvcha.2015.07.014
0959-3780
1872-9495
wos:2015
WOS:000366767100002
Karp, DS (reprint author), Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA., danielsolkarp@gmail.com
GEO BON; DIVERSITAS; European Environment Agency; NASA; Gordon and Betty
Moore Foundation; European Commission [FP7 ENV-2012-308393-2]; NatureNet
Science Postdoctoral Fellowship from the Nature Conservancy
Daniel S. Karp
Heather Tallis
Rene Sachse
Ben Halpern
Kirsten Thonicke
Wolfgang Cramer
Harold Mooney
Stephen Polasky
Britta Tietjen
Katharina Waha
Ariane Walt
Stacie Wolny
eng
uncontrolled
Ecosystem services
eng
uncontrolled
GEO BON
eng
uncontrolled
Global change
eng
uncontrolled
Monitoring
eng
uncontrolled
Process models
Institut für Geowissenschaften
Referiert
Institut für Erd- und Umweltwissenschaften
68
2003
eng
doctoralthesis
1
2005-02-10
--
2003-04-01
Fire disturbance and vegetation dynamics : analysis and models
Untersuchungen zur Rolle natürlicher Störungen in der Vegetation bzw. in Ökosystemen zeigen, dass natürliche Störungen ein essentielles und intrinsisches Element in Ökosystemen darstellen, substanziell zur Vitalität und strukturellen Diversität der Ökosysteme beitragen und Stoffkreisläufe sowohl auf dem lokalen als auch auf dem globalen Niveau beeinflussen. Feuer als Grasland-, Busch- oder Waldbrand ist ein besonderes Störungsagens, da es sowohl durch biotische als auch abiotische Umweltfaktoren verursacht wird. Es beeinflusst biogeochemische Kreisläufe und spielt für die chemische Zusammensetzung der Atmosphäre durch Freisetzung klimarelevanter Spurengase und Aerosole aus der Verbrennung von Biomasse eine bedeutende Rolle. Dies wird auch durch die Emission von ca. 3.9 Gt Kohlenstoff pro Jahr unterstrichen, was einen großen Anteil am globalen Gesamtaufkommen ausmacht. Ein kombiniertes Modell, das die Effekte und Rückkopplungen zwischen Feuer und Vegetation beschreibt, wurde erforderlich, als Änderungen in den Feuerregimes als Folge von Änderungen in der Landnutzung und dem Landmanagement festgestellt wurden. Diese Notwendigkeit wurde noch durch die Erkenntnis unterstrichen, daß die Menge verbrennender Biomasse als ein bedeutender Kohlenstoffluß sowohl die chemische Zusammensetzung der Atmosphäre und das Klima, aber auch die Vegetationsdynamik selbst beeinflusst. Die bereits existierenden Modellansätze reichen hier jedoch nicht aus, um entsprechende Untersuchungen durchzuführen. Als eine Schlussfolgerung daraus wurde eine optimale Menge von Faktoren gefunden, die das Auftreten und die Ausbreitung des Feuers, sowie deren ökosystemare Effekte ausreichend beschreiben. Ein solches Modell sollte die Merkmale beobachteter Feuerregime simulieren können und Analysen der Interaktionen zwischen Feuer und Vegetationsdynamik unterstützen, um auch Ursachen für bestimmte Änderungen in den Feuerregimes herausfinden zu können. Insbesondere die dynamischen Verknüpfungen zwischen Vegetation, Klima und Feuerprozessen sind von Bedeutung, um dynamische Rückkopplungen und Effekte einzelner, veränderter Umweltfaktoren zu analysieren. Dadurch ergab sich die Notwendigkeit, neue Feuermodelle zu entwickeln, die die genannten Untersuchungen erlauben und das Verständnis der Rolle des Feuer in der globalen Ökologie verbessern. Als Schlussfolgerung der Dissertation wird festgestellt, dass Feuchtebedingungen, ihre Andauer über die Zeit (Länge der Feuersaison) und die Streumenge die wichtigsten Komponenten darstellen, die die Verteilung der Feuerregime global beschreiben. Werden Zeitreihen einzelner Regionen simuliert, sollten besondere Entzündungsquellen, brandkritische Klimabedingungen und die Bestandesstruktur als zusätzliche Determinanten berücksichtigt werden. Die Bestandesstruktur verändert das Niveau des Auftretens und der Ausbreitung von Feuer, beeinflusst jedoch weniger dessen interannuelle Variabilität. Das es wichtig ist, die vollständige Wirkungskette wichtiger Feuerprozesse und deren Verknüpfungen mit der Vegetationsdynamik zu berücksichtigen, wird besonders unter Klimaänderungsbedingungen deutlich. Eine länger werdende, vom Klima abhängige Feuersaison bedeutet nicht automatisch eine im gleichen Maße anwachsende Menge verbrannter Biomasse. Sie kann durch Änderungen in der Produktivität der Vegetation gepuffert oder beschleunigt werden. Sowohl durch Änderungen der Bestandesstruktur als auch durch eine erhöhte Produktivität der Vegetation können Änderungen der Feuereigenschaften noch weiter intensiviert werden und zu noch höheren, feuerbezogenen Emissionen führen.
Studies of the role of disturbance in vegetation or ecosystems showed that disturbances are an essential and intrinsic element of ecosystems that contribute substantially to ecosystem health, to structural diversity of ecosystems and to nutrient cycling at the local as well as global level. Fire as a grassland, bush or forest fire is a special disturbance agent, since it is caused by biotic as well abiotic environmental factors. Fire affects biogeochemical cycles and plays an important role in atmospheric chemistry by releasing climate-sensitive trace gases and aerosols, and thus in the global carbon cycle by releasing approximately 3.9 Gt C p.a. through biomass burning. A combined model to describe effects and feedbacks between fire and vegetation became relevant as changes in fire regimes due to land use and land management were observed and the global dimension of biomass burnt as an important carbon flux to the atmosphere, its influence on atmospheric chemistry and climate as well as vegetation dynamics were emphasized. The existing modelling approaches would not allow these investigations. As a consequence, an optimal set of variables that best describes fire occurrence, fire spread and its effects in ecosystems had to be defined, which can simulate observed fire regimes and help to analyse interactions between fire and vegetation dynamics as well as to allude to the reasons behind changing fire regimes. Especially, dynamic links between vegetation, climate and fire processes are required to analyse dynamic feedbacks and effects of changes of single environmental factors. This led us to the point, where new fire models had to be developed that would allow the investigations, mentioned above, and could help to improve our understanding of the role of fire in global ecology. In conclusion of the thesis, one can state that moisture conditions, its persistence over time and fuel load are the important components that describe global fire pattern. If time series of a particular region are to be reproduced, specific ignition sources, fire-critical climate conditions and vegetation composition become additional determinants. Vegetation composition changes the level of fire occurrence and spread, but has limited impact on the inter-annual variability of fire. The importance to consider the full range of major fire processes and links to vegetation dynamics become apparent under climate change conditions. Increases in climate-dependent length of fire season does not automatically imply increases in biomass burnt, it can be buffered or accelerated by changes in vegetation productivity. Changes in vegetation composition as well as enhanced vegetation productivity can intensify changes in fire and lead to even more fire-related emissions. --- Anmerkung: Die Autorin ist Trägerin des von der Mathematisch-Naturwissenschaftlichen Fakultät der Universität Potsdam vergebenen Michelson-Preises für die beste Promotion des Jahres 2002/2003.
urn:nbn:de:kobv:517-0000713
75
WI 2450 , WI 1500 , RB 10438
Kirsten Thonicke
deu
uncontrolled
Waldbrand
deu
uncontrolled
Feuerregime
deu
uncontrolled
Vegetationsdynamik
deu
uncontrolled
natürliche Störungen
deu
uncontrolled
Waldbrandmodellierung
deu
uncontrolled
Klimaänderung
eng
uncontrolled
forest fires
eng
uncontrolled
fire regimes
eng
uncontrolled
vegetation dynamics
eng
uncontrolled
natural disturbances
eng
uncontrolled
fire modelling
eng
uncontrolled
climate change
Geowissenschaften
open_access
Institut für Geoökologie
Institut für Umweltwissenschaften und Geographie
Universität Potsdam
Universität Potsdam
https://publishup.uni-potsdam.de/files/68/thonicke.pdf
38721
2015
2015
eng
2861
2880
20
8
21
review
Wiley-Blackwell
Hoboken
1
--
--
--
Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts
Extreme droughts, heat waves, frosts, precipitation, wind storms and other climate extremes may impact the structure, composition and functioning of terrestrial ecosystems, and thus carbon cycling and its feedbacks to the climate system. Yet, the interconnected avenues through which climate extremes drive ecological and physiological processes and alter the carbon balance are poorly understood. Here, we review the literature on carbon cycle relevant responses of ecosystems to extreme climatic events. Given that impacts of climate extremes are considered disturbances, we assume the respective general disturbance-induced mechanisms and processes to also operate in an extreme context. The paucity of well-defined studies currently renders a quantitative meta-analysis impossible, but permits us to develop a deductive framework for identifying the main mechanisms (and coupling thereof) through which climate extremes may act on the carbon cycle. We find that ecosystem responses can exceed the duration of the climate impacts via lagged effects on the carbon cycle. The expected regional impacts of future climate extremes will depend on changes in the probability and severity of their occurrence, on the compound effects and timing of different climate extremes, and on the vulnerability of each land-cover type modulated by management. Although processes and sensitivities differ among biomes, based on expert opinion, we expect forests to exhibit the largest net effect of extremes due to their large carbon pools and fluxes, potentially large indirect and lagged impacts, and long recovery time to regain previous stocks. At the global scale, we presume that droughts have the strongest and most widespread effects on terrestrial carbon cycling. Comparing impacts of climate extremes identified via remote sensing vs. ground-based observational case studies reveals that many regions in the (sub-)tropics are understudied. Hence, regional investigations are needed to allow a global upscaling of the impacts of climate extremes on global carbon-climate feedbacks.
Global change biology
10.1111/gcb.12916
25752680
1354-1013
1365-2486
wos:2015
WOS:000358485200006
Frank, DA (reprint author), Max Planck Inst Biogeochem, D-07745 Jena, Germany., dfrank@bgc-jena.mpg.de
Austrian Science Fund (FWF) [P22214-B17]; French Government through the
A*MIDEX project [ANR-11-LABX-0061, ANR-11-IDEX-0001-02]; Swiss National
Science Foundation [P300P2_154543]
Dorothe A. Frank
Markus Reichstein
Michael Bahn
Kirsten Thonicke
David Frank
Miguel D. Mahecha
Pete Smith
Marijn Van der Velde
Sara Vicca
Flurin Babst
Christian Beer
Nina Buchmann
Josep G. Canadell
Philippe Ciais
Wolfgang Cramer
Andreas Ibrom
Franco Miglietta
Ben Poulter
Anja Rammig
Sonia I. Seneviratne
Ariane Walz
Martin Wattenbach
Miguel A. Zavala
Jakob Zscheischler
eng
uncontrolled
carbon cycle
eng
uncontrolled
climate change
eng
uncontrolled
climate extremes
eng
uncontrolled
climate variability
eng
uncontrolled
disturbance
eng
uncontrolled
terrestrial ecosystems
Institut für Geowissenschaften
Referiert
Institut für Erd- und Umweltwissenschaften
41022
2016
2019
eng
16
535
postprint
1
2019-01-18
2019-01-18
--
Deforestation in Amazonia impacts riverine carbon dynamics
Fluxes of organic and inorganic carbon within the Amazon basin are considerably controlled by annual flooding, which triggers the export of terrigenous organic material to the river and ultimately to the Atlantic Ocean. The amount of carbon imported to the river and the further conversion, transport and export of it depend on temperature, atmospheric CO2, terrestrial productivity and carbon storage, as well as discharge. Both terrestrial productivity and discharge are influenced by climate and land use change. The coupled LPJmL and RivCM model system (Langerwisch et al., 2016) has been applied to assess the combined impacts of climate and land use change on the Amazon riverine carbon dynamics. Vegetation dynamics (in LPJmL) as well as export and conversion of terrigenous carbon to and within the river (RivCM) are included. The model system has been applied for the years 1901 to 2099 under two deforestation scenarios and with climate forcing of three SRES emission scenarios, each for five climate models. We find that high deforestation (business-as-usual scenario) will strongly decrease (locally by up to 90 %) riverine particulate and dissolved organic carbon amount until the end of the current century. At the same time, increase in discharge leaves net carbon transport during the first decades of the century roughly unchanged only if a sufficient area is still forested. After 2050 the amount of transported carbon will decrease drastically. In contrast to that, increased temperature and atmospheric CO2 concentration determine the amount of riverine inorganic carbon stored in the Amazon basin. Higher atmospheric CO2 concentrations increase riverine inorganic carbon amount by up to 20% (SRES A2). The changes in riverine carbon fluxes have direct effects on carbon export, either to the atmosphere via outgassing or to the Atlantic Ocean via discharge. The outgassed carbon will increase slightly in the Amazon basin, but can be regionally reduced by up to 60% due to deforestation. The discharge of organic carbon to the ocean will be reduced by about 40% under the most severe deforestation and climate change scenario. These changes would have local and regional consequences on the carbon balance and habitat characteristics in the Amazon basin itself as well as in the adjacent Atlantic Ocean.
Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
10.25932/publishup-41022
urn:nbn:de:kobv:517-opus4-410225
1866-8372
online registration
Earth System Dynamics 7 (2016), pp. 953–968 DOI 10.5194/esd-7-953-2016
CC-BY - Namensnennung 4.0 International
Fanny Langerwisch
Ariane Walz
Anja Rammig
Britta Tietjen
Kirsten Thonicke
Wolfgang Cramer
Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
535
eng
uncontrolled
Global vegetation model
eng
uncontrolled
Climate-Change
eng
uncontrolled
Brazilian Amazon
eng
uncontrolled
organic-matter
eng
uncontrolled
land-use
eng
uncontrolled
secondary forests
eng
uncontrolled
seed dispersal
eng
uncontrolled
Atlantic-Ocean
eng
uncontrolled
basin
eng
uncontrolled
CO2
Geowissenschaften
open_access
Mathematisch-Naturwissenschaftliche Fakultät
Referiert
Open Access
Copernicus
Universität Potsdam
https://publishup.uni-potsdam.de/files/41022/pmnr535.pdf
44652
2016
2016
eng
953
968
16
7
article
Copernicus
Göttingen
1
--
--
--
Deforestation in Amazonia impacts riverine carbon dynamics
Fluxes of organic and inorganic carbon within the Amazon basin are considerably controlled by annual flooding, which triggers the export of terrigenous organic material to the river and ultimately to the Atlantic Ocean. The amount of carbon imported to the river and the further conversion, transport and export of it depend on temperature, atmospheric CO2, terrestrial productivity and carbon storage, as well as discharge. Both terrestrial productivity and discharge are influenced by climate and land use change. The coupled LPJmL and RivCM model system (Langerwisch et al., 2016) has been applied to assess the combined impacts of climate and land use change on the Amazon riverine carbon dynamics. Vegetation dynamics (in LPJmL) as well as export and conversion of terrigenous carbon to and within the river (RivCM) are included. The model system has been applied for the years 1901 to 2099 under two deforestation scenarios and with climate forcing of three SRES emission scenarios, each for five climate models. We find that high deforestation (business-as-usual scenario) will strongly decrease (locally by up to 90 %) riverine particulate and dissolved organic carbon amount until the end of the current century. At the same time, increase in discharge leaves net carbon transport during the first decades of the century roughly unchanged only if a sufficient area is still forested. After 2050 the amount of transported carbon will decrease drastically. In contrast to that, increased temperature and atmospheric CO2 concentration determine the amount of riverine inorganic carbon stored in the Amazon basin. Higher atmospheric CO2 concentrations increase riverine inorganic carbon amount by up to 20% (SRES A2). The changes in riverine carbon fluxes have direct effects on carbon export, either to the atmosphere via outgassing or to the Atlantic Ocean via discharge. The outgassed carbon will increase slightly in the Amazon basin, but can be regionally reduced by up to 60% due to deforestation. The discharge of organic carbon to the ocean will be reduced by about 40% under the most severe deforestation and climate change scenario. These changes would have local and regional consequences on the carbon balance and habitat characteristics in the Amazon basin itself as well as in the adjacent Atlantic Ocean.
Earth system dynamics
10.5194/esd-7-953-2016
2190-4979
2190-4987
wos2016:2019
WOS:000390768900001
Langerwisch, F (reprint author), Potsdam Inst Climate Impact Res PIK, Earth Syst Anal, POB 60 12 03,Telegraphenberg A62, D-14412 Potsdam, Germany.; Langerwisch, F (reprint author), Berlin Brandenburg Inst Adv Biodivers Res BBIB, D-14195 Berlin, Germany., langerwisch@pik-potsdam.de
Pakt fur Forschung der Leibniz-Gemeinschaft; FP7 AMAZALERT [282664]; Helmholtz Alliance "Remote Sensing and Earth System Dynamics"
importub
2020-03-22T11:58:01+00:00
filename=package.tar
d9292fcaa1d0ce169679b83877e8eccf
Fanny Langerwisch
Ariane Walz
Anja Rammig
Britta Tietjen
Kirsten Thonicke
Wolfgang Cramer
Referiert
Institut für Geoökologie
Institut für Umweltwissenschaften und Geographie
Import
34810
2013
2013
eng
287
295
9
7462
500
article
Nature Publ. Group
London
1
--
--
--
Climate extremes and the carbon cycle
The terrestrial biosphere is a key component of the global carbon cycle and its carbon balance is strongly influenced by climate. Continuing environmental changes are thought to increase global terrestrial carbon uptake. But evidence is mounting that climate extremes such as droughts or storms can lead to a decrease in regional ecosystem carbon stocks and therefore have the potential to negate an expected increase in terrestrial carbon uptake. Here we explore the mechanisms and impacts of climate extremes on the terrestrial carbon cycle, and propose a pathway to improve our understanding of present and future impacts of climate extremes on the terrestrial carbon budget.
Nature : the international weekly journal of science
10.1038/nature12350
0028-0836
wos:2011-2013
WOS:000323112400023
Reichstein, M (reprint author), Max Planck Inst Biogeochem, D-07745 Jena, Germany., markus.reichstein@bgc-jena.mpg.de
European Community [FP7-ENV-2008-1-226701]; Royal Society-Wolfson
Research Merit Award
Markus Reichstein
Michael Bahn
Philippe Ciais
Dorothea Frank
Miguel D. Mahecha
Sonia I. Seneviratne
Jakob Zscheischler
Christian Beer
Nina Buchmann
David C. Frank
Dario Papale
Anja Rammig
Pete Smith
Kirsten Thonicke
Marijn van der Velde
Sara Vicca
Ariane Walz
Martin Wattenbach
Institut für Geowissenschaften
Referiert
Institut für Erd- und Umweltwissenschaften