The United Nations has declared 2018-2028 as the International Decade for Action on Water for Sustainable Development. This
is a timely designation. In an increasingly thirsty world, the subject of forest-water interactions is of critical importance
to the achievement of sustainability goals. The central underlying tenet of this book is that the hydrologic community can
conduct better science and make a more meaningful impact to the world's water crisis if scientists are: (1) better equipped
to utilize new methods and harness big data from either or both high-frequency sensors and long-term research watersheds;
and (2) aware of new developments in our process-based understanding of the hydrological cycle in both natural and urban settings.
Accordingly, this forward-looking book delves into forest-water interactions from multiple methodological, statistical, and
process-based perspectives (with some chapters featuring data sets and open-source R code), concluding with a chapter on future
forest hydrology under global change. Thus, this book describes the opportunities of convergence in high-frequency sensing,
big data, and open source software to catalyze more comprehensive understanding of forest-water interactions. The book will
be of interest to researchers, graduate students, and advanced undergraduates in an array of disciplines, including hydrology,
forestry, ecology, botany, and environmental engineering.