Land-Cover and Climatic Controls on Water Temperature, Flow Permanence, and Fragmentation of Great Basin Stream Networks
| Autor: | Todd Allai, David Hockman-Wert, Andrew S. Gendaszek, Jason B. Dunham, Justin Martin Thorson, Jeffrey Michael Mintz, Christian E. Torgersen, Michael P. Heck |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
lcsh:Hydraulic engineering 010504 meteorology & atmospheric sciences Geography Planning and Development drought STREAMS Land cover Aquatic Science Structural basin 01 natural sciences Biochemistry lcsh:Water supply for domestic and industrial purposes water temperature lcsh:TC1-978 Spring (hydrology) Groundwater discharge Great Basin 0105 earth and related environmental sciences Water Science and Technology Hydrology lcsh:TD201-500 geography geography.geographical_feature_category 010604 marine biology & hydrobiology Fragmentation (computing) flow permanence Arid spatial stream network modeling Snowmelt Environmental science |
| Zdroj: | Water Volume 12 Issue 7 Water, Vol 12, Iss 1962, p 1962 (2020) |
| ISSN: | 2073-4441 |
| Popis: | The seasonal and inter-annual variability of flow presence and water temperature within headwater streams of the Great Basin of the western United States limit the occurrence and distribution of coldwater fish and other aquatic species. To evaluate changes in flow presence and water temperature during seasonal dry periods, we developed spatial stream network (SSN) models from remotely sensed land-cover and climatic data that account for autocovariance within stream networks to predict the May to August flow presence and water temperature between 2015 and 2017 in two arid watersheds within the Great Basin: Willow and Whitehorse Creeks in southeastern Oregon and Willow and Rock Creeks in northern Nevada. The inclusion of spatial autocovariance structures improved the predictive performance of the May water temperature model when the stream networks were most connected, but only marginally improved the August water temperature model when the stream networks were most fragmented. As stream network fragmentation increased from the spring to the summer, the SSN models revealed a shift in the scale of processes affecting flow presence and water temperature from watershed-scale processes like snowmelt during high-runoff seasons to local processes like groundwater discharge during sustained seasonal dry periods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|