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Dynamics and sustainability of the inner Mongolia typical steppe - ecosystem responses to grazing and climate

dc.contributor.authorChristensen, Lindsey, author
dc.contributor.authorCoughenour, Michael B., advisor
dc.contributor.authorEllis, James E., advisor
dc.contributor.authorDetling, James K., committee member
dc.contributor.authorGalvin, Kathleen A., committee member
dc.contributor.authorOjima, Dennis, committee member
dc.date.accessioned2026-05-07T18:07:44Z
dc.date.issued2001
dc.description.abstractThe purpose of this study is to examine interactions of historic, present, and future climate patterns, vegetation patterns, and grazing practices to better comprehend and predict the sustainability and resilience of the Mongolian steppe grassland ecosystem. This study will utilize SAVANNA (a dynamic, spatially extensive ecosystem model) to understand, interpret, and predict how future grazing, soils, vegetation, and climate patterns interact to affect ecosystem sustainability and resilience. Field results suggest that production of these grasslands has declined with increased grazing intensity. This information was incorporated in the model structure to examine future stability and resilience of this vegetation system. This analysis also used Savanna to simulate both vegetation and livestock production, which gave further insight into potential effects management, climate, and grazing on the sustainability of grassland systems. Simulations that examined the effects of livestock density on vegetation showed a moderate level of grazing (~50% of vegetation removed) was sustainable for this particular system. This region was resilient to light and moderate levels of grazing; however, higher grazing intensities, in combination with low precipitation events, resulted in decreased herbaceous net primary production and increased shrub net primary production. Once initiated, these patterns continued even by an after-the-fact removal of grazing from this region. When predicted climate change scenarios were utilized in model simulations, results showed this grazing system was most sensitive to changes in precipitation patterns; however combinations of precipitation, temperature, and CO2 had synergistic effects on herbaceous production. Greater increases in temperature put a larger stress on the sustainability of herbaceous vegetation, which resulted in unsustainable herbaceous biomass-alleviated only by a reduction in grazing intensity. Only increased precipitation, CO2, or the combination of the two lessened the effects of a large increase in temperature. Simulations with climate change indicate that grazing increases the vulnerability of sustainable grassland systems to climate change. Therefore management must change grazing rates when net primary production is decreased to maintain grassland sustainability.
dc.format.mediumdoctoral dissertations
dc.identifier.urihttps://hdl.handle.net/10217/244381
dc.identifier.urihttps://doi.org/10.25675/3.026976
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.rights.licensePer the terms of a contractual agreement, all use of this item is limited to the non-commercial use of Colorado State University and its authorized users.
dc.subjectecology
dc.titleDynamics and sustainability of the inner Mongolia typical steppe - ecosystem responses to grazing and climate
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineEcology
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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