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Conference Paper: Influences of topography and climate on vegetation distribution over mainland China

TitleInfluences of topography and climate on vegetation distribution over mainland China
Authors
KeywordsEarth sciences
Issue Date2013
PublisherCopernicus GmbH. The Journal's web site is located at http://www.geophysical-research-abstracts.net
Citation
The 10th General Assembly of the European Geosciences Union (EGU 2013), Vienna, Austria, 7-12 April 2013. In Geophysical Research Abstracts, 2013, v. 15, no. EGU2013-4422-1 How to Cite?
AbstractThis study addresses the relationship of vegetation distribution with topography and climate through using the Moderate Resolution Imaging Spectroradiometer (MODIS) MOD13A1 products. The research data include the enhanced vegetation index (EVI), climate data (such as precipitation, temperature, solar radiation) and topographic data (such as elevation, slope, aspect, topographic index and the distance to the nearest river), and the study period is from 2001 to 2012 (12 years). Using a data mining approach, the EVI data and topographic data, the study separates mainland China into different ecological zones. The result reveals that elevation is the predominant factor in controlling the separation of ecological zones in different months. In different months, the first turning points of the elevation for division of ecological zones are higher in the wet season than those in the dry season. In a growing month (April) and a falling mon...
Persistent Identifierhttp://hdl.handle.net/10722/190279
ISSN

 

DC FieldValueLanguage
dc.contributor.authorSun, Len_US
dc.contributor.authorChen, Jen_US
dc.date.accessioned2013-09-17T15:17:01Z-
dc.date.available2013-09-17T15:17:01Z-
dc.date.issued2013en_US
dc.identifier.citationThe 10th General Assembly of the European Geosciences Union (EGU 2013), Vienna, Austria, 7-12 April 2013. In Geophysical Research Abstracts, 2013, v. 15, no. EGU2013-4422-1en_US
dc.identifier.issn1607-7962-
dc.identifier.urihttp://hdl.handle.net/10722/190279-
dc.description.abstractThis study addresses the relationship of vegetation distribution with topography and climate through using the Moderate Resolution Imaging Spectroradiometer (MODIS) MOD13A1 products. The research data include the enhanced vegetation index (EVI), climate data (such as precipitation, temperature, solar radiation) and topographic data (such as elevation, slope, aspect, topographic index and the distance to the nearest river), and the study period is from 2001 to 2012 (12 years). Using a data mining approach, the EVI data and topographic data, the study separates mainland China into different ecological zones. The result reveals that elevation is the predominant factor in controlling the separation of ecological zones in different months. In different months, the first turning points of the elevation for division of ecological zones are higher in the wet season than those in the dry season. In a growing month (April) and a falling mon...-
dc.languageengen_US
dc.publisherCopernicus GmbH. The Journal's web site is located at http://www.geophysical-research-abstracts.net-
dc.relation.ispartofGeophysical Research Abstractsen_US
dc.rightsAuthor holds the copyright-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectEarth sciences-
dc.titleInfluences of topography and climate on vegetation distribution over mainland Chinaen_US
dc.typeConference_Paperen_US
dc.identifier.emailSun, L: slqhku@hkucc.hku.hken_US
dc.identifier.emailChen, J: jichen@hku.hken_US
dc.identifier.authorityChen, J=rp00098en_US
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros223495en_US
dc.identifier.volume15-
dc.publisher.placeGermany-

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