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Mechanisms of grass response in grasslands and shrublands during dry or wet periods

Overview of attention for article published in Oecologia, November 2013
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Title
Mechanisms of grass response in grasslands and shrublands during dry or wet periods
Published in
Oecologia, November 2013
DOI 10.1007/s00442-013-2837-y
Pubmed ID
Authors

Debra P. C. Peters, Jin Yao, Dawn Browning, Albert Rango

Abstract

Multi-year climatic periods are expected to increase with global change, yet long-term data are often insufficient to document factors leading to ecological responses. We used a suite of long-term datasets (1993-2010) to examine the processes underlying different relationships between aboveground net primary production (ANPP) and precipitation in wet and dry rainfall periods in shrublands and grasslands in the Chihuahuan Desert. We hypothesized that trends in ANPP can be explained by different processes associated with their dominant grasses [Bouteloua eriopoda (grasslands); Sporobolus flexuosus (shrublands)] and with ecosystem properties that influence soil water dynamics with feedbacks to ANPP. We compared datasets on recruitment and growth for 7 years with no trend in precipitation followed by a 4-year drought and 5 consecutive wet years. We integrated these data in a simulation model to examine the importance of positive feedbacks. In grasslands, ANPP was linearly related to precipitation regardless of rainfall period, primarily as a result of stolon recruitment by B. eriopoda. A lag in responses suggests the importance of legacies associated with stolon density. In shrublands, ANPP was only related to rainfall in the wet period when it increased nonlinearly as the number of wet years increased. Seed availability increased in the first wet year, and seedling establishment occurred 2-4 years later. Increases in biomass, litter and simulated transpiration beginning in the third year corresponded with increases in ANPP. Understanding the processes underlying ecosystem dynamics in multi-year dry or wet periods is expected to improve predictions under directional increases or decreases in rainfall.

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Mendeley readers

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The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
Argentina 1 1%
Panama 1 1%
Unknown 65 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 25%
Student > Master 10 14%
Student > Doctoral Student 9 13%
Student > Ph. D. Student 9 13%
Professor > Associate Professor 5 7%
Other 10 14%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 38%
Environmental Science 21 30%
Earth and Planetary Sciences 4 6%
Business, Management and Accounting 2 3%
Physics and Astronomy 1 1%
Other 3 4%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 April 2014.
All research outputs
#18,354,532
of 22,731,677 outputs
Outputs from Oecologia
#3,639
of 4,207 outputs
Outputs of similar age
#227,695
of 301,839 outputs
Outputs of similar age from Oecologia
#36
of 50 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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