文章基本信息

标题：Effects of land cover change on evapotranspiration and streamflow of small catchments in the Upper Xingu River Basin, Central Brazil
本地全文：下载
作者：Lívia Cristina Pinto Dias ; Márcia N. Macedo ; Marcos Heil Costa 等
期刊名称：Journal of Hydrology: Regional Studies
印刷版ISSN：2214-5818
出版年度：2015
卷号：4, Part B
期号：Part B
页码：108-122
DOI：10.1016/j.ejrh.2015.05.010
出版社：Elsevier B.V.
摘要：Abstract Study region Upper Xingu River Basin, southeastern Amazonia. Study focus This study assessed the influence of land cover changes on evapotranspiration and streamflow in small catchments in the Upper Xingu River Basin (Mato Grosso state, Brazil). Streamflow was measured in catchments with uniform land use for September 1, 2008 to August 31, 2010. We used models to simulate evapotranspiration and streamflow for the four most common land cover types found in the Upper Xingu: tropical forest, cerrado (savanna), pasture, and soybean croplands. We used {INLAND} to perform single point simulations considering tropical rainforest, cerrado and pasturelands, and AgroIBIS for croplands. New hydrological insights for the region Converting natural vegetation to agriculture substantially modifies evapotranspiration and streamflow in small catchments. Measured mean streamflow in soy catchments was about three times greater than that of forest catchments, while the mean annual amplitude of flow in soy catchments was more than twice that of forest catchments. Simulated mean annual evapotranspiration was 39% lower in agricultural ecosystems (pasture and soybean cropland) than in natural ecosystems (tropical rainforest and cerrado). Observed and simulated mean annual streamflows in agricultural ecosystems were more than 100% higher than in natural ecosystems. The accuracy of the simulations was improved by using field-measured soil hydraulic properties. The inclusion of local measurements of key soil parameters is likely to improve hydrological simulations in other tropical regions.
关键词：Evapotranspiration; Streamflow; Modeling; Xingu Basin; Amazon; Cerrado