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Ed L. Fredrickson

Researcher at Agricultural Research Service

Publications -  75
Citations -  2630

Ed L. Fredrickson is an academic researcher from Agricultural Research Service. The author has contributed to research in topics: Flourensia cernua & Rangeland. The author has an hindex of 25, co-authored 74 publications receiving 2373 citations. Previous affiliations of Ed L. Fredrickson include United States Department of Agriculture & Eastern Kentucky University.

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Ecological services to and from rangelands of the United States

TL;DR: The use of ecologically-based principles of land management remains at the core of the ability of private land owners and public land managers to provide these existing and emerging services.
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Do Changes in Connectivity Explain Desertification

TL;DR: It is argued for the unifying concept that diverse forms of desertification, and its remediation, are driven by changes in the length of connected pathways for the movement of fire, water, and soil resources.
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Disentangling Complex Landscapes: New Insights into Arid and Semiarid System Dynamics

TL;DR: In this article, the authors present a new research framework that includes five interacting elements to explain variable dynamics: historical legacies, environmental driving variables, a soil-geomorphic template of patterns in local properties and their spatial context, multiple horizontal and vertical transport vectors (water, wind, animals), and redistribution of resources within and among spatial units by the transport vectors, in interaction with other drivers.
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Combining Decision Trees with Hierarchical Object-oriented Image Analysis for Mapping Arid Rangelands

TL;DR: In this paper, the authors used object-based rather than pixel-based image information as input for a classification tree for mapping arid land vegetation, which allowed for differentiation of individual shrubs at a fine scale and delineation of broader vegetation classes at coarser scales.
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An object-based image analysis approach for determining fractional cover of senescent and green vegetation with digital plot photography

TL;DR: In this article, an image analysis approach for estimating fractional cover of green and senescent vegetation using very high-resolution ground photography, and to compare image-based estimates with line-point-intercept (LPI) measures.