Ecohydrology of Interannual Changes in Watershed Storage. Issue 10 (30th October 2019)

• Record Type: Journal Article
• Authors: Rice, Joshua S.; Emanuel, Ryan E.
• Is Part Of: Water resources research. Volume 55:Issue 10(2019)
• Page Start: 8238
• Page End: 8251
• Publication Date: 2019-10-30
• Subjects: Ecohydrology -- Watershed Storage -- Machine Learning -- Budyko Analysis -- Hydroclimate -- Land Cover; Hydrology -- Periodicals; 333.91
• DOI: 10.1029/2019WR025164
• Languages: English
• ISSNs: 0043-1397

Abstract

Abstract: Watershed studies often rely on the assumption that interannual storage changes are negligible in the hydrologic balance of a watershed. The assumption can be useful and is sometimes necessary, but it is widely acknowledged as unrealistic. Identifying and understanding systematic deviations from hydrologic steady state has important implications for both hydrologic research and water management. To that end, we evaluated the magnitude of interannual changes in storage for nearly 1000 watersheds in the conterminous United States for the 10‐year period 2002 to 2011 using ground‐based and remotely sensed data. We evaluated relationships between changes in storage (i.e., deviations from hydrologic steady state), vegetation cover, and hydroclimatic variables. Analysis of results using a Budyko framework revealed that, in general, greater evaporative partitioning led to smaller deviations from hydrologic steady state. Additional analysis using gradient boosted regression tree modeling identified an inverse relationship between forest cover and the magnitude of deviations from hydrologic steady state. In fact, modeling showed forest cover to be a stronger driver of variability in deviations from steady state than any hydroclimatic variable. We discuss ecohydrological feedbacks capable of contributing to steady‐state conditions in forested watersheds, and we discuss implications of these results for the coevolution of watersheds, vegetation, and climate. Key Points: We computed mean absolute deviation of annual changes in water storage for nearly 1000 watersheds in the United States Forest cover was the strongest determinant of variability in storage; watersheds with more forest cover had less year‐to‐year variability The results raise interesting questions about the extent to which forests help stabilize interannual variations in watershed storage