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The effect of grazing on the spatial heterogeneity of vegetation

Overview of attention for article published in Oecologia, August 2001
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

policy
2 policy sources

Citations

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665 Dimensions

Readers on

mendeley
1118 Mendeley
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1 CiteULike
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Title
The effect of grazing on the spatial heterogeneity of vegetation
Published in
Oecologia, August 2001
DOI 10.1007/s004420100737
Pubmed ID
Authors

P. Adler, D. Raff, W. Lauenroth

Abstract

Grazing can alter the spatial heterogeneity of vegetation, influencing ecosystem processes and biodiversity. Our objective was to identify why grazing causes increases in the spatial heterogeneity of vegetation in some cases, but decreases in others. The immediate effect of grazing on heterogeneity depends on the interaction between the spatial pattern of grazing and the pre-existing spatial pattern of vegetation. Depending on the scale of observation and on the factors that determine animal distribution, grazing patterns may be stronger or weaker than vegetation patterns, or may mirror the spatial structure of vegetation. For each possible interaction between these patterns, we make a prediction about resulting changes in the spatial heterogeneity of vegetation. Case studies from the literature support our predictions, although ecosystems characterized by strong plant-soil interactions present important exceptions. While the processes by which grazing causes increases in heterogeneity are clear, how grazing leads to decreases in heterogeneity is less so. To explore how grazing can consistently dampen the fine-scale spatial patterns of competing plant species, we built a cell-based simulation model that features two competing plant species, different grazing patterns, and different sources of vegetation pattern. Only the simulations that included neighborhood interactions as a source of vegetation pattern produced results consistent with the predictions we derived from the literature review.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 25 2%
Argentina 11 <1%
Spain 7 <1%
South Africa 7 <1%
India 6 <1%
Brazil 6 <1%
Germany 5 <1%
Australia 5 <1%
Canada 4 <1%
Other 34 3%
Unknown 1008 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 231 21%
Student > Ph. D. Student 224 20%
Student > Master 160 14%
Student > Bachelor 88 8%
Student > Doctoral Student 76 7%
Other 208 19%
Unknown 131 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 543 49%
Environmental Science 291 26%
Earth and Planetary Sciences 46 4%
Unspecified 12 1%
Social Sciences 8 <1%
Other 43 4%
Unknown 175 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2019.
All research outputs
#5,161,738
of 24,380,741 outputs
Outputs from Oecologia
#1,014
of 4,404 outputs
Outputs of similar age
#6,597
of 39,613 outputs
Outputs of similar age from Oecologia
#7
of 22 outputs
Altmetric has tracked 24,380,741 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,404 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 39,613 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.