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Forest-water interactions

Levia, Delphis F.

Forest-water interactions

Record Type:	Electronic resources : Monograph/item
Title/Author:	Forest-water interactionsedited by Delphis F. Levia ... [et al.].
other author:	Levia, Delphis F.
Published:	Cham :Springer International Publishing :2020.
Description:	xv, 628 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Forest hydrology.
Online resource:	https://doi.org/10.1007/978-3-030-26086-6
ISBN:	9783030260866$q(electronic bk.)

Forest-water interactions
Forest-water interactions[electronic resource] /edited by Delphis F. Levia ... [et al.]. - Cham :Springer International Publishing :2020. - xv, 628 p. :ill. (some col.), digital ;24 cm. - Ecological studies, analysis and synthesis,2400070-8356 ;. - Ecological studies, analysis and synthesis ;219..

Chapter 1. Cracking "Open" Technology in Ecohydrology -- Chapter 2. The Necessity of Sensor Calibration for the Precise Measurement of Water Fluxes in Forest Ecosystems -- Chapter 3. Applications of Unpiloted Aerial Vehicles (UAVs) in Forest Hydrology -- Chapter 4. LiDAR Applications to Forest-Water Interactions -- Chapter 5. On Complementing the Tracer Toolbox for Quantifying Hydrological Connectivity: Insights Gained from Terrestrial Diatom Tracer Experiments -- Chapter 6. Lessons in New Measurement Technologies: From Instrumenting Trees to the Trans-African Hydro-Meteorological Observatory -- Chapter 7. Primary Steps in Analyzing Data - Tasks and Tools for a Systematic Data Exploration -- Chapter 8. Martin Zwanzig, Robert Schlicht, Nico Frischbier, and Uta Berger -- Chapter 8 Spatiotemporal Statistics: Analysis of Spatially and Temporally-Correlated Throughfall Data - Exploring and Considering Dependency and Heterogeneity -- Chapter 9. Analysis of Vegetation-Water Interactions: Application and Comparison of Maximum-Likelihood Estimation and Bayesian Inference -- Chapter 10. Machine Learning Applications in Hydrology -- Chapter 11. Advances and Future Research Directions in the Study of Leaf Water Repellency -- Chapter 12. Throughfall Erosivity in Relation to Drop Size and Crown Position: A Case Study from a Teak Plantation in Thailand -- Chapter 13. Assessing the Ecological Significance of Throughfall in Forest Ecosystems -- Chapter 14. Root-Water Relations and Interactions in Mixed Forest Settings -- Chapter 15. Effects of Stemflow on Soil Water Dynamics in Forest Stands -- Chapter 16. Radiocesium Cycling in the Context of Forest-Water Interactions -- Chapter 17. Urban Trees as Green Infrastructure for Stormwater Mitigation and Use -- Chapter 18. Urban Tree Canopy Effects on Water Quality via Inputs to the Urban Ground Surface -- Chapter 19. Modeling the Impact of Urban Trees on Hydrology -- Chapter 20. Using Community Planning to Conserve Green Infrastructure and Water Quality -- Chapter 21. Forest Influences on Streamflow: Case Studies from the Tatsunokuchi-Yama Experimental Watershed, Japan and the Leading Ridge Experimental Watershed, USA -- Chapter 22. The Biogeochemical Response of Nitrate and Potassium to Landscape Disturbance in Watersheds of the Hubbard Brook Experimental Forest, New Hampshire, USA -- Chapter 23. Water and Nutrient Budgets of Organic Layers and Mineral Topsoils under Tropical Montane Forest in Ecuador in Response to 15 Years of Environmental Change -- Chapter 24. Forest-Water Interactions under Global Change.

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.

ISBN: 9783030260866$q(electronic bk.)

Standard No.: 10.1007/978-3-030-26086-6doiSubjects--Topical Terms:

515541
Forest hydrology.

LC Class. No.: GB842 / .F674 2020

Dewey Class. No.: 551.48

Forest-water interactions
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505 0 $a Chapter 1. Cracking "Open" Technology in Ecohydrology -- Chapter 2. The Necessity of Sensor Calibration for the Precise Measurement of Water Fluxes in Forest Ecosystems -- Chapter 3. Applications of Unpiloted Aerial Vehicles (UAVs) in Forest Hydrology -- Chapter 4. LiDAR Applications to Forest-Water Interactions -- Chapter 5. On Complementing the Tracer Toolbox for Quantifying Hydrological Connectivity: Insights Gained from Terrestrial Diatom Tracer Experiments -- Chapter 6. Lessons in New Measurement Technologies: From Instrumenting Trees to the Trans-African Hydro-Meteorological Observatory -- Chapter 7. Primary Steps in Analyzing Data - Tasks and Tools for a Systematic Data Exploration -- Chapter 8. Martin Zwanzig, Robert Schlicht, Nico Frischbier, and Uta Berger -- Chapter 8 Spatiotemporal Statistics: Analysis of Spatially and Temporally-Correlated Throughfall Data - Exploring and Considering Dependency and Heterogeneity -- Chapter 9. Analysis of Vegetation-Water Interactions: Application and Comparison of Maximum-Likelihood Estimation and Bayesian Inference -- Chapter 10. Machine Learning Applications in Hydrology -- Chapter 11. Advances and Future Research Directions in the Study of Leaf Water Repellency -- Chapter 12. Throughfall Erosivity in Relation to Drop Size and Crown Position: A Case Study from a Teak Plantation in Thailand -- Chapter 13. Assessing the Ecological Significance of Throughfall in Forest Ecosystems -- Chapter 14. Root-Water Relations and Interactions in Mixed Forest Settings -- Chapter 15. Effects of Stemflow on Soil Water Dynamics in Forest Stands -- Chapter 16. Radiocesium Cycling in the Context of Forest-Water Interactions -- Chapter 17. Urban Trees as Green Infrastructure for Stormwater Mitigation and Use -- Chapter 18. Urban Tree Canopy Effects on Water Quality via Inputs to the Urban Ground Surface -- Chapter 19. Modeling the Impact of Urban Trees on Hydrology -- Chapter 20. Using Community Planning to Conserve Green Infrastructure and Water Quality -- Chapter 21. Forest Influences on Streamflow: Case Studies from the Tatsunokuchi-Yama Experimental Watershed, Japan and the Leading Ridge Experimental Watershed, USA -- Chapter 22. The Biogeochemical Response of Nitrate and Potassium to Landscape Disturbance in Watersheds of the Hubbard Brook Experimental Forest, New Hampshire, USA -- Chapter 23. Water and Nutrient Budgets of Organic Layers and Mineral Topsoils under Tropical Montane Forest in Ecuador in Response to 15 Years of Environmental Change -- Chapter 24. Forest-Water Interactions under Global Change.
520 $a 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.
650 0 $a Forest hydrology. $3 515541
650 1 4 $a Environmental Geography. $3 711703
650 2 4 $a Forestry Management. $3 274265
650 2 4 $a Hydrology/Water Resources. $3 675922
650 2 4 $a Geoecology/Natural Processes. $3 274567
650 2 4 $a Plant Biochemistry. $3 275238
650 2 4 $a Hydrogeology. $3 195801
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