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Ryan M Boynton

Researcher at University of California, Davis

Publications -  19
Citations -  603

Ryan M Boynton is an academic researcher from University of California, Davis. The author has contributed to research in topics: Climate change & Groundwater recharge. The author has an hindex of 8, co-authored 17 publications receiving 500 citations. Previous affiliations of Ryan M Boynton include Seoul National University.

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Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance

TL;DR: In this paper, the authors demonstrate the utility of a Basin Characterization Model for California (CA-BCM) to integrate high-resolution data on physical watershed characteristics with historical or projected climate data to predict watershed specific hydrologic responses to changes in key climatic drivers across variable landscape conditions.
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Fragmentation of China's landscape by roads and urban areas

TL;DR: In this article, the authors used the effective-mesh-size (Meff) method to evaluate the degree of landscape division in China, caused by paved roads, railways, and urban areas.

Fragmentation of China’s landscape by roads and urban areas

TL;DR: In this paper, the authors used the effective mesh-size (Meff) method to evaluate the degree of landscape division in China, caused by paved roads, railways, and urban areas.
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The structure, function and value of urban forests in California communities

TL;DR: In this paper, the authors used tree data from field plots in urban areas to describe the structure of urban forest in California, and calculated several ecosystem services produced by trees. But they did not consider the threat posed by Invasive Shot Hole Borer (Euwallacea sp.) illustrates that urban forests are relatively fragile resource whose contributions to human health and well-being can be suddenly jeopardized.
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The magnitude and spatial patterns of historical and future hydrologic change in California's watersheds

TL;DR: In this article, the authors used the Basin Characterization Model (BCM), a regional water balance model, to identify watersheds with high levels of hydrologic change under drier and wetter future climates.