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Age, stage and senescence in plants

Overview of attention for article published in Journal of Ecology, April 2013
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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8 X users

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152 Mendeley
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Title
Age, stage and senescence in plants
Published in
Journal of Ecology, April 2013
DOI 10.1111/1365-2745.12088
Pubmed ID
Authors

Hal Caswell, Roberto Salguero-Gómez

Abstract

1. Senescence (an increase in the mortality rate or force of mortality, or a decrease in fertility, with increasing age) is a widespread phenomenon. Theories about the evolution of senescence have long focused on the age trajectories of the selection gradients on mortality and fertility. In purely age-classified models, these selection gradients are non-increasing with age, implying that traits expressed early in life have a greater impact on fitness than traits expressed later in life. This pattern leads inevitably to the evolution of senescence if there are trade-offs between early and late performance. 2. It has long been suspected that the stage- or size-dependent demography typical of plants might change these conclusions. In this paper, we develop a model that includes both stage- and age-dependence and derive the age-dependent, stage-dependent and age×stage-dependent selection gradients on mortality and fertility. 3. We applied this model to stage-classified population projection matrices for 36 species of plants, from a wide variety of growth forms (from mosses to trees) and habitats. 4. We found that the age-specific selection gradients within a life cycle stage can exhibit increases with age (we call these contra-senescent selection gradients). In later stages, often large size classes in plant demography, the duration of these contra-senescent gradients can exceed the life expectancy by several fold. 5. Synthesis. The interaction of age- and stage-dependence in plants leads to selection pressures on senescence fundamentally different from those found in previous, age-classified theories. This result may explain the observation that large plants seem less subject to senescence than most kinds of animals. The methods presented here can lead to improved analysis of both age-dependent and stage-dependent demographic properties of plant populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 1%
United Kingdom 1 <1%
Brazil 1 <1%
Iran, Islamic Republic of 1 <1%
Japan 1 <1%
Unknown 146 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 26%
Researcher 29 19%
Student > Master 15 10%
Student > Doctoral Student 11 7%
Student > Bachelor 11 7%
Other 28 18%
Unknown 18 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 53%
Environmental Science 26 17%
Biochemistry, Genetics and Molecular Biology 10 7%
Earth and Planetary Sciences 3 2%
Mathematics 2 1%
Other 8 5%
Unknown 23 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 January 2018.
All research outputs
#6,258,439
of 22,708,120 outputs
Outputs from Journal of Ecology
#1,761
of 3,177 outputs
Outputs of similar age
#52,422
of 194,081 outputs
Outputs of similar age from Journal of Ecology
#21
of 36 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,177 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 194,081 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 72% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.