Literature DB >> 26828174

Surface Water Storage Capacity of Twenty Tree Species in Davis, California.

Qingfu Xiao, E Gregory McPherson.   

Abstract

Urban forestry is an important green infrastructure strategy because healthy trees can intercept rainfall, reducing stormwater runoff and pollutant loading. Surface saturation storage capacity, defined as the thin film of water that must wet tree surfaces before flow begins, is the most important variable influencing rainfall interception processes. Surface storage capacity is known to vary widely among tree species, but it is little studied. This research measured surface storage capacities of 20 urban tree species in a rainfall simulator. The measurement system included a rainfall simulator, digital balance, digital camera, and computer. Eight samples were randomly collected from each tree species. Twelve rainfall intensities (3.5-139.5 mm h) were simulated. Leaf-on and leaf-off simulations were conducted for deciduous species. Stem and foliar surface areas were estimated using an image analysis method. Results indicated that surface storage capacities varied threefold among tree species, 0.59 mm for crape myrtle ( L.) and 1.81 mm for blue spruce ( Engelm.). The mean value across all species was 0.86 mm (0.11 mm SD). To illustrate application of the storage values, interception was simulated and compared across species for a 40-yr period with different rainfall intensities and durations. By quantifying the potential for different tree species to intercept rainfall under a variety of meteorological conditions, this study provides new knowledge that is fundamental to validating the cost-effectiveness of urban forestry as a green infrastructure strategy and designing functional plantings.
Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26828174     DOI: 10.2134/jeq2015.02.0092

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  5 in total

1.  The role of trees in urban stormwater management.

Authors:  Adam Berland; Sheri A Shiflett; William D Shuster; Ahjond S Garmestani; Haynes C Goddard; Dustin L Herrmann; Matthew E Hopton
Journal:  Landsc Urban Plan       Date:  2017-06       Impact factor: 6.142

2.  Estimation of Leaf Area Index with a Multi-Channel Spectral Micro-Sensor for Wireless Sensing Networks.

Authors:  Laura Maria Comella; Florian Bregler; Eiko Hager; Markus Anys; Johannes Klueppel; Stefan J Rupitsch; Christiane Werner; Peter Woias
Journal:  Sensors (Basel)       Date:  2022-07-05       Impact factor: 3.847

3.  Plant traits database for climate change adaptation and mitigation in Northwest Portugal.

Authors:  Catarina Patoilo Teixeira; Cláudia Oliveira Fernandes; Jack Ahern; Paulo Farinha-Marques
Journal:  Data Brief       Date:  2022-04-20

4.  Green Infrastructure and Urban-Renewal Simulation for Street Tree Design Decision-Making: Moderating Demands of Stormwater Management, Sunlight and Visual Aesthetics.

Authors:  Nano Langenheim; Marcus White
Journal:  Int J Environ Res Public Health       Date:  2022-07-05       Impact factor: 4.614

5.  Increasing the broad-leaved tree fraction in European forests mitigates hot temperature extremes.

Authors:  Jonas Schwaab; Edouard L Davin; Peter Bebi; Anke Duguay-Tetzlaff; Lars T Waser; Matthias Haeni; Ronny Meier
Journal:  Sci Rep       Date:  2020-08-25       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.