| Title |
Demography of Verreaux’s sifaka in a stochastic rainfall environment
|
|---|---|
| Published in |
Oecologia, June 2009
|
| DOI | 10.1007/s00442-009-1382-1 |
| Pubmed ID | |
| Authors |
Richard R. Lawler, Hal Caswell, Alison F. Richard, Joelisoa Ratsirarson, Robert E. Dewar, Marion Schwartz |
| Abstract |
In this study, we use deterministic and stochastic models to analyze the demography of Verreaux's sifaka (Propithecus verreauxi verreauxi) in a fluctuating rainfall environment. The model is based on 16 years of data from Beza Mahafaly Special Reserve, southwest Madagascar. The parameters in the stage-classified life cycle were estimated using mark-recapture methods. Statistical models were evaluated using information-theoretic techniques and multi-model inference. The highest ranking model is time-invariant, but the averaged model includes rainfall-dependence of survival and breeding. We used a time-series model of rainfall to construct a stochastic demographic model. The time-invariant model and the stochastic model give a population growth rate of about 0.98. Bootstrap confidence intervals on the growth rates, both deterministic and stochastic, include 1. Growth rates are most elastic to changes in adult survival. Many demographic statistics show a nonlinear response to annual rainfall but are depressed when annual rainfall is low, or the variance in annual rainfall is high. Perturbation analyses from both the time-invariant and stochastic models indicate that recruitment and survival of older females are key determinants of population growth rate. |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| United States | 2 | 2% |
| United Kingdom | 1 | 1% |
| Portugal | 1 | 1% |
| Spain | 1 | 1% |
| Romania | 1 | 1% |
| Unknown | 75 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 24% |
| Researcher | 17 | 20% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 5 | 6% |
| Other | 15 | 18% |
| Unknown | 10 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 51% |
| Environmental Science | 20 | 24% |
| Social Sciences | 4 | 5% |
| Nursing and Health Professions | 1 | 1% |
| Medicine and Dentistry | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 14 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 November 2014.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Oecologia
#1,673
of 4,210 outputs
Outputs of similar age
#33,052
of 98,656 outputs
Outputs of similar age from Oecologia
#5
of 18 outputs
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.