Journal•ISSN: 1550-7424
Rangeland Ecology & Management
Elsevier BV
About: Rangeland Ecology & Management is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Grazing & Rangeland. It has an ISSN identifier of 1550-7424. Over the lifetime, 1619 publications have been published receiving 36503 citations. The journal is also known as: Rangeland ecology and management & REM.
Topics: Grazing, Rangeland, Biology, Vegetation, Environmental science
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors present a synthesis of rotational and continuous grazing on rangelands and conclude that rotational grazing is superior to continuous grazing in terms of ecological effectiveness.
591 citations
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TL;DR: In this article, the authors synthesize the ecological concepts and perspectives underpinning the development and application of state-and-transition models, thresholds, and rangeland health.
399 citations
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Colorado State University1, United States Geological Survey2, Oregon State University3, University of Wyoming4, New Mexico State University5, Edinboro University of Pennsylvania6, Prescott College7, Northern Arizona University8, National Park Service9, University of New Mexico10, University of Arizona11, United States Department of Agriculture12, University of Nevada, Reno13
TL;DR: In this paper, the authors summarized what we know (and don't know) about three fundamentally different kinds of pinon-juniper vegetation, and provided a source of information for managers and policy makers, and stimulate researchers to address the most important unanswered questions.
350 citations
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TL;DR: In this paper, the effects of grazing on soil organic carbon (SOC) stocks in grasslands were investigated and the major mechanistic pathways involved were established, including changes in net primary production (NPP), changes in nitrogen stocks (nitrogen pathway), and changes in organic matter decomposition (decomposition pathway).
330 citations
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TL;DR: The goal of this synthesis is to initiate development of a unified framework for threshold assessment that is able to link ecological theory and processes with management knowledge and application and provide an operational definition of thresholds based on a probabilistic interpretation.
258 citations