期刊
JOURNAL OF HYDROLOGY
卷 488, 期 -, 页码 101-109出版社
ELSEVIER
DOI: 10.1016/j.jhydrol.2013.02.050
关键词
River network; Drainage density; Climate; Runoff; Vegetation
资金
- US National Aeronautics and Space Administration [NNX07AL79G, NNX11AE42G]
- National Basic Research Program of China [2012CB956203]
- State Key Program of National Natural Science of China [40830956]
- Geology Foundation at the University of Texas at Austin
We determined present-day (1981-2000) relationships between river network drainage density (D-d) and runoff (R), and between vegetation cover (V) and precipitation (P) across a contiguous 470,800 km(2) area (the Texas Gulf Coast basin), where P varies from 438 to 1280 mm/yr. D-d(R) follows a saturation-growth model which is similar to process-based equilibrium landscape models. V(P) follows a linear relationship. The models for D-d(R) and V(P) were used to assess how D-d and V might respond to decadal-scale climate changes in R and P anomalies predicted by a regional climate model between 2041-2060 and 1981-2000. The regional climate model, CRCM, was forced following the SAES A2 emissions scenario. Our calculations indicate a tendency of 57,500 km of active river channels to drying up, representing 9.9% of the present-day total of 581,985 km, due to future decrease in R. This will be accompanied by a loss of 8150 km(2) in V due to decrease in P. This study extends empirical studies of relationships between climate and landscape properties and explicitly links observations with process-based models. The results provide a simple framework for modeling potential trajectories of the landscape due to climate change. Published by Elsevier B.V.
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