John Lovette
University of North Carolina at Chapel Hill
9 Papers
11 Citations
John Lovette is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Mangrove & Rhizophora mangle. The author has an hindex of 5, co-authored 9 publications. Previous affiliations of John Lovette include College of William & Mary & United States Environmental Protection Agency.
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Papers
Highly stable surface functionalization of microgas chromatography columns using layer-by-layer self-assembly of silica nanoparticles.
TL;DR: The SNP-functionalized microfabricated columns with either single capillary channels or very narrow multicapillary channels successfully separated a multicomponent gas mixture with a wide range of boiling points with high reproducibility.
Ecuador's mangrove forest carbon stocks: a spatiotemporal analysis of living carbon holdings and their depletion since the advent of commercial aquaculture.
Stuart E. Hamilton,John Lovette +1 more
TL;DR: By approaching the mangrove forest carbon loss question from a LUCC perspective, these findings allow for tropical nations and other intervention agents to prioritize and target a limited set of land transitions that likely drive the majority of carbon losses.
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A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics.
TL;DR: Using selected EnviroAtlas ES metrics, a Community EcoHealth Index (CEHI) was created based on an ecohealth framework including health promotion and hazard buffering domains, which favors communities in forested ecoregions.
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The Carbon Holdings of Northern Ecuador's Mangrove Forests
TL;DR: In this article, the authors combine field measures of mangrove tree diameter and tree density with remotely sensed measures of tree location and canopy cover to estimate the standing carbon holdings of northern Ecuador, and find that the four northern estuaries of Ecuador contain approximately 7,742,999 t (± 15.47 percent) of standing carbon.
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A Geospatial Methodology to Identify Locations of Concentrated Runoff from Agricultural Fields
TL;DR: In this paper, a geospatial methodology has been developed that utilizes high resolution lidar-derived DEMs to help track runoff from agricultural fields and identify areas of potential concentrated flow through vegetated riparian areas in the Coastal Plain of Virginia.
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