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Coping with uncertainty: breeding adjustments to an unpredictable environment in an opportunistic raptor

Overview of attention for article published in Oecologia, October 2010
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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 (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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1 blog

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80 Mendeley
Title
Coping with uncertainty: breeding adjustments to an unpredictable environment in an opportunistic raptor
Published in
Oecologia, October 2010
DOI 10.1007/s00442-010-1795-x
Pubmed ID
Authors

Fabrizio Sergio, J. Blas, L. López, A. Tanferna, R. Díaz-Delgado, J. A. Donázar, F. Hiraldo

Abstract

No environment is truly constant in time. As a result, animals have evolved multiple adjustments to cope with such fluctuations. However, the allocation of effort to costly activities that imply long-term commitments, such as breeding, may be extremely challenging when future resources change constantly and unpredictably, a context that has received little investigation. To fill this gap, we studied the breeding response by a wetland-dependent raptor, the black kite Milvus migrans, to within and between-years fluctuations in resource availability (inundation levels). The breeding performance of the population was decomposed into reproductive components expressed in a sequence of successive tasks along the breeding cycle (e.g. timing of laying, clutch size, hatching success, brood reduction). Variation in each component was related to resource levels observed at different key dates of the season in order to test whether and when population-level reproduction was adjusted to available resources. Along a 22-year time-series, inundation levels fluctuated unpredictably within and among years, and mostly affected the later components of kites' reproduction, such as hatching success and the incidence of brood reduction, which were the main determinants of the population yearly breeding output. Results were consistent with multiple adjustments to cope with uncertainty. As the season progressed and resources became easier to assess, a bet-hedging waiting strategy based on a conservatively small, invariant and asynchronous clutch gave way to real-time resource-tracking mechanisms mediated by progressive adjustments to current prey availability, so that population-level breeding rates were determined and tuned to resources rather late in the season. Such adjustments were the likely outcome of the interaction between parental tactics and environmental constraints. Behavioural flexibility, such as dietary opportunism, probably promoted further resistance to resource oscillations. Given that all ecosystems show some degree of unpredictability, resource-tracking adjustments, such as the ones depicted here, are likely to be commonplace in most communities.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
United Kingdom 1 1%
Mexico 1 1%
Romania 1 1%
Spain 1 1%
United States 1 1%
Unknown 74 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 28%
Student > Ph. D. Student 18 23%
Student > Bachelor 9 11%
Student > Master 8 10%
Student > Doctoral Student 5 6%
Other 8 10%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 60%
Environmental Science 14 18%
Philosophy 1 1%
Nursing and Health Professions 1 1%
Business, Management and Accounting 1 1%
Other 5 6%
Unknown 10 13%
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 10 May 2011.
All research outputs
#5,443,874
of 22,705,019 outputs
Outputs from Oecologia
#1,090
of 4,203 outputs
Outputs of similar age
#26,896
of 99,824 outputs
Outputs of similar age from Oecologia
#8
of 22 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,203 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 99,824 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 73% 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 63% of its contemporaries.