Integrating Herbivore Population Dynamics Into a Global Land Biosphere Model: Plugging Animals Into the Earth System

dc.contributor.author Dangal, Shree
dc.contributor.author Tian, Hanqin
dc.contributor.author Lu, Chaoqun
dc.contributor.author Lu, Chaoqun
dc.contributor.author Pan, Shufen
dc.contributor.author Yang, Jia
dc.contributor.author Di Cosmo, Nicola
dc.contributor.author Hessl, Amy
dc.contributor.department Ecology, Evolution and Organismal Biology
dc.date 2019-06-26T11:52:21.000
dc.date.accessioned 2020-06-30T02:18:19Z
dc.date.available 2020-06-30T02:18:19Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2017
dc.date.issued 2017-11-30
dc.description.abstract <p>Mammalian herbivores are an essential component of grassland and savanna ecosystems, and with feedbacks to the climate system. To date, the response and feedbacks of mammalian herbivores to changes in both abiotic and biotic factors are poorly quantified and not adequately represented in the current global land surface modeling framework. In this study, we coupled herbivore population dynamics in a global land model (the Dynamic Land Ecosystem Model, DLEM 3.0) to simulate populations of horses, cattle, sheep, and goats, and their responses to changes in multiple environmental factors at the site level across different continents during 1980–2010. Simulated results show that the model is capable of reproducing observed herbivore population dynamics across all sites for these animal groups. Our simulation results also indicate that during this period, climate extremes led to a maximum mortality of 27% of the total herbivores in Mongolia. Across all sites, herbivores reduced aboveground net primary productivity (ANPP) and heterotrophic respiration (Rh) by 14% and 15%, respectively (p < 0.05). With adequate parameterization, the model can be used for historical assessment and future prediction of mammalian herbivore populations and their relevant impacts on biogeochemical cycles. Our simulation results demonstrate a strong coupling between primary producers and consumers, indicating that inclusion of herbivores into the global land modeling framework is essential to better understand the potentially large effect of herbivores on carbon cycles in grassland and savanna ecosystems.</p>
dc.description.comments <p>This article is published as Dangal, S. H. Tian, C. Lu, W. Ren, S. Pan, J. Yang, N. Di Cosmo, and A. Hessl. 2017. Integrating Herbivore Population Dynamics into a Global Land Biosphere Model: Plugging Animals into the Earth System. <em>Journal of Advances in Modeling Earth Systems</em> DOI: 10.1002/2016MS000904. </p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/eeob_ag_pubs/350/
dc.identifier.articleid 1358
dc.identifier.contextkey 14407567
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath eeob_ag_pubs/350
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/23234
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/eeob_ag_pubs/350/2017_LuC_Integrating_Herbivore_Population_Dynamics_Into_a_Global.pdf|||Fri Jan 14 23:44:26 UTC 2022
dc.source.uri 10.1002/2016MS000904
dc.subject.disciplines Earth Sciences
dc.subject.disciplines Ecology and Evolutionary Biology
dc.subject.disciplines Environmental Health and Protection
dc.subject.disciplines Environmental Indicators and Impact Assessment
dc.subject.disciplines Environmental Monitoring
dc.subject.disciplines Natural Resources Management and Policy
dc.subject.disciplines Oil, Gas, and Energy
dc.subject.disciplines Sustainability
dc.subject.keywords Grassland
dc.subject.keywords Savanna
dc.subject.keywords Grazing
dc.subject.keywords Herbivore population dynamics
dc.subject.keywords Terrestrial biosphere model
dc.title Integrating Herbivore Population Dynamics Into a Global Land Biosphere Model: Plugging Animals Into the Earth System
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 176fea8c-e8ce-4913-9f58-86a696778f50
relation.isOrgUnitOfPublication 6fa4d3a0-d4c9-4940-945f-9e5923aed691
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