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Integrating herder observations, meteorological data and remote sensing to understand climate change patterns and impacts across an eco-climatic gradient in Mongolia

dc.contributor.authorFernandez-Gimenez, M. E., author
dc.contributor.authorAngerer, J. P., author
dc.contributor.authorAllegretti, A. M., author
dc.contributor.authorFassnacht, S. R., author
dc.contributor.authorByamba, A., author
dc.contributor.authorChantsallkham, J., author
dc.contributor.authorReid, R., author
dc.contributor.authorVenable, N. B. H., author
dc.contributor.authorNutag Action and Research Institute, publisher
dc.date.accessioned2017-06-19T19:38:12Z
dc.date.available2017-06-19T19:38:12Z
dc.date.issued2015-06
dc.descriptionIncludes bibliographical references.
dc.descriptionPresented at the Building resilience of Mongolian rangelands: a trans-disciplinary research conference held on June 9-10, 2015 in Ulaanbaatar, Mongolia.
dc.description.abstractMongolia has one of the strongest climate warming signals on Earth, and over 40% of the human population depends directly or indirectly on pastoral livestock production for their livelihoods. Thus, climate-driven changes in rangeland production will likely have a major effect on pastoral livelihoods. We examined patterns of climate change and rangeland production over 20 years in three ecological zones based on meteorological records, remote sensing and herder observations. We found the strongest trends in both instrument records and herder observations in the steppe zone, where summers are getting hotter and drier, winters colder, and rangeland production is declining. Instrument records and herder observations were most consistently aligned for total annual rainfall, and consensus among herders was greatest for changes in rainfall and production and lowest for temperature changes. We found more differences in herder observations between neighboring soums within the same ecozone than expected, suggesting the need for more fine-scale instrument observations to detect fine-scale patterns of change that herders observe.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.bibliographicCitationFernandez-Gimenez, M. E., J. P. Angerer, A. M. Allegretti, S. R. Fassnacht, A. Byamba, J. Chantsallkham, R. Reid, N. B. H. Venable, 2015. Integrating Herder Observations, Meteorological Data and Remote Sensing to Understand Climate Change Patterns and Impacts Across an Eco-Climatic Gradient in Mongolia. In (Fernandez-Gimenez ME, Batkhishig B, Fassnacht SR, Wilson D, eds.) Proceedings of Building Resilience of Mongolian Rangelands: A Trans-disciplinary Research Conference, Ulaanbaatar Mongolia, June 9-10, 2015, pp 228-234.
dc.identifier.isbn9789996297175 (book)
dc.identifier.urihttp://hdl.handle.net/10217/181705
dc.identifier.urihttp://dx.doi.org/10.25675/10217/181705
dc.languageEnglish
dc.languageMongolian
dc.language.isoeng
dc.language.isomon
dc.publisherColorado State University. Libraries
dc.relation.ispartofSection 5: Methods of Knowledge and Data Integration in Coupled Natural-Human Systems
dc.relation.ispartofProceedings of Building resilience of Mongolian rangelands: a trans-disciplinary research conference, June 9-10, 2015
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.subjectlocal knowledge
dc.subjecttraditional knowledge
dc.subjectclimate change
dc.subjectmonitoring
dc.titleIntegrating herder observations, meteorological data and remote sensing to understand climate change patterns and impacts across an eco-climatic gradient in Mongolia
dc.typeText

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