Shengtai Xuebao = Acta Ecologica Sinica, 2020-08 (16), p.5502
2020
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- Autor(en) / Beteiligte
- Titel
- Natural and social economy driving forces of wetland types changes in Sichuan Province
- Ist Teil von
- Shengtai Xuebao = Acta Ecologica Sinica, 2020-08 (16), p.5502
- Ort / Verlag
- Beijing: Science Press
- Erscheinungsjahr
- 2020
- Quelle
- EZB Electronic Journals Library
- Beschreibungen/Notizen
- Landsat series remote sensing images were used to map the wetlands in Sichuan, and the GIS spatial overlay analysis was used to obtain wetland change spatio-temporal database in two periods(2000-2010 and 2010-2015). We chose nine natural and socio-economic factors including average wind speed, precipitation, average temperature, average sunshine duration, average relative humidity, gross domestic product, GDP per capita, gross agricultural output and population, and adopted the Canonical Correlation Analysis(CCA) method to analyze the driving forces of changes of wetland types in Sichuan Province. The results showed that(1) from 2000 to 2015, the changeable areas of the wetland in Sichuan Province were 705374 hm~2. Swamps and rivers were the main changeable wetland areas in each period. The ponds were the most changeable wetland type, and lakes were the most stable. The main types of change were swamps transformed into non-wetlands, rivers and non-wetlands changed into ponds.(2) The average temperature, GDP a
- Sprache
- Chinesisch
- Identifikatoren
- ISSN: 1000-0933DOI: 10.5846/stxb201911062337Titel-ID: cdi_proquest_journals_2471178374
- Format
- –
- Schlagworte
- Climate change, Correlation analysis, Driving ability, Economic development, Economic factors, GDP, Global warming, Gross Domestic Product, Humidity, Landsat, Landsat satellites, Ponds, Precipitation, Relative humidity, Remote sensing, Rivers, Satellite imagery, Social factors, Socioeconomics, Spatial analysis, Swamps, Wetlands, Wind speed