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dc.contributor.author
Whitley, Rhys
dc.contributor.author
Beringer, Jason
dc.contributor.author
Hutley, Lindsay B.
dc.contributor.author
Abramowitz, Gabriel
dc.contributor.author
De Kauwe, Martin G.
dc.contributor.author
Evans, Bradley
dc.contributor.author
Haverd, Vanessa
dc.contributor.author
Li, Longhui
dc.contributor.author
Moore, Caitlin
dc.contributor.author
Ryu, Youngryel
dc.contributor.author
Scheiter, Simon
dc.contributor.author
Schymanski, Stan
dc.contributor.author
Smith, Benjamin
dc.contributor.author
Wang, Ying-Ping
dc.contributor.author
Williams, Mathew
dc.contributor.author
Yu, Qiang
dc.date.accessioned
2017-12-14T14:58:47Z
dc.date.available
2017-11-04T04:11:53Z
dc.date.available
2017-12-14T14:58:47Z
dc.date.issued
2017-10-24
dc.identifier.issn
1726-4170
dc.identifier.issn
1726-4170
dc.identifier.other
10.5194/bg-14-4711-2017
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/204521
dc.identifier.doi
10.3929/ethz-b-000204521
dc.description.abstract
The savanna complex is a highly diverse global biome that occurs within the seasonally dry tropical to sub-tropical equatorial latitudes and are structurally and functionally distinct from grasslands and forests. Savannas are open-canopy environments that encompass a broad demographic continuum, often characterised by a changing dominance between C3-tree and C4-grass vegetation, where frequent environmental disturbances such as fire modulates the balance between ephemeral and perennial life forms. Climate change is projected to result in significant changes to the savanna floristic structure, with increases to woody biomass expected through CO2 fertilisation in mesic savannas and increased tree mortality expected through increased rainfall interannual variability in xeric savannas. The complex interaction between vegetation and climate that occurs in savannas has traditionally challenged terrestrial biosphere models (TBMs), which aim to simulate the interaction between the atmosphere and the land surface to predict responses of vegetation to changing in environmental forcing. In this review, we examine whether TBMs are able to adequately represent savanna fluxes and what implications potential deficiencies may have for climate change projection scenarios that rely on these models. We start by highlighting the defining characteristic traits and behaviours of savannas, how these differ across continents and how this information is (or is not) represented in the structural framework of many TBMs. We highlight three dynamic processes that we believe directly affect the water use and productivity of the savanna system: phenology, root-water access and fire dynamics. Following this, we discuss how these processes are represented in many current-generation TBMs and whether they are suitable for simulating savanna fluxes. Finally, we give an overview of how eddy-covariance observations in combination with other data sources can be used in model benchmarking and intercomparison frameworks to diagnose the performance of TBMs in this environment and formulate road maps for future development. Our investigation reveals that many TBMs systematically misrepresent phenology, the effects of fire and root-water access (if they are considered at all) and that these should be critical areas for future development. Furthermore, such processes must not be static (i.e. prescribed behaviour) but be capable of responding to the changing environmental conditions in order to emulate the dynamic behaviour of savannas. Without such developments, however, TBMs will have limited predictive capability in making the critical projections needed to understand how savannas will respond to future global change.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
Copernicus
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Challenges and opportunities in land surface modelling of savanna ecosystems
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
Biogeosciences
ethz.journal.volume
14
en_US
ethz.journal.issue
20
en_US
ethz.pages.start
4711
en_US
ethz.pages.end
4732
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Göttingen
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::03812 - Or, Dani (emeritus) / Or, Dani (emeritus)
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::03812 - Or, Dani (emeritus) / Or, Dani (emeritus)
ethz.date.deposited
2017-11-04T04:12:00Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-12-14T14:58:54Z
ethz.rosetta.lastUpdated
2024-02-02T03:30:37Z
ethz.rosetta.versionExported
true
ethz.COinS
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