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1000 Titel
  • Challenges and opportunities in land surface modelling of savanna ecosystems
1000 Autor/in
  1. Whitley, Rhys |
  2. Beringer, Jason |
  3. Hutley, Lindsay B. |
  4. Abramowitz, Gabriel |
  5. De Kauwe, Martin G. |
  6. Evans, Bradley |
  7. Haverd, Vanessa |
  8. Li, Longhui |
  9. Moore, Caitlin |
  10. Ryu, Youngryel |
  11. Scheiter, Simon |
  12. Schymanski, Stanislaus J. |
  13. Smith, Benjamin |
  14. Wang, Ying-Ping |
  15. Williams, Mathew |
  16. Yu, Qiang |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-10-24
1000 Erschienen in
1000 Quellenangabe
  • 14(201):4711-4732
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/bg-14-4711-2017 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Fachgruppe
  1. Umweltwissenschaften |
  2. Biologie |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/V2hpdGxleSwgUmh5cw==|https://frl.publisso.de/adhoc/creator/QmVyaW5nZXIsIEphc29u|https://frl.publisso.de/adhoc/creator/SHV0bGV5LCBMaW5kc2F5IEIu|https://frl.publisso.de/adhoc/creator/QWJyYW1vd2l0eiwgR2FicmllbA==|https://frl.publisso.de/adhoc/creator/RGUgS2F1d2UsIE1hcnRpbiBHLg==|https://frl.publisso.de/adhoc/creator/RXZhbnMsIEJyYWRsZXk=|https://frl.publisso.de/adhoc/creator/SGF2ZXJkLCBWYW5lc3Nh|https://frl.publisso.de/adhoc/creator/TGksIExvbmdodWk=|https://frl.publisso.de/adhoc/creator/TW9vcmUsIENhaXRsaW4=|https://frl.publisso.de/adhoc/creator/Unl1LCBZb3VuZ3J5ZWw=|https://frl.publisso.de/adhoc/creator/U2NoZWl0ZXIsIFNpbW9u|https://frl.publisso.de/adhoc/creator/U2NoeW1hbnNraSwgU3RhbmlzbGF1cyBKLg==|https://frl.publisso.de/adhoc/creator/U21pdGgsIEJlbmphbWlu|https://frl.publisso.de/adhoc/creator/V2FuZywgWWluZy1QaW5n|https://frl.publisso.de/adhoc/creator/V2lsbGlhbXMsIE1hdGhldw==|https://frl.publisso.de/adhoc/creator/WXUsIFFpYW5n
1000 Label
1000 Förderer
  1. Australian Research Council (ARC)
  2. Australian Government Department of Industry (National Collaborative Research Infrastructure Strategy (NCRIS) 2013–2014 budget initiative)
  3. Australian Research Council Centre of Excellence for Climate System Science
1000 Fördernummer
  1. DP0344744; DP0772981; DP130101566; FT110100602
  2. -
  3. CE110001028
1000 Förderprogramm
  1. “Australian Savanna Landscapes: Past, Present and Future” project; ARC Discovery Grant; ARC Future Fellowship
  2. TERN ecosystem Modelling and Scaling infrAStructure (eMAST) facility
  3. -
1000 Dateien
1000 Objektart article
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1000 @id frl:6406971.rdf
1000 Erstellt am 2018-03-02T11:04:14.154+0100
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1000 Zuletzt bearbeitet 2020-01-30T16:28:06.694+0100
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