Evidence map›Paper›PMID 31938884›Full record

ArticleOecologia2020

Population projections of an endangered cactus suggest little impact of climate change.

Eugenio Larios, Edgar J González, Philip C Rosen, Ami Pate, Peter Holm

Abstract read
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In one paragraph

Article in Oecologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Eugenio LariosDepartment of Ecology, Evolution, and Marine Biology, University of California Santa Barbara, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0003-4501-4652
Edgar J GonzálezDepartamento de Ecología y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico. edgarjgonzalez@ciencias.unam.mx.ORCID http://orcid.org/0000-0001-9113-1070
Philip C RosenSchool of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA.
Ami PateOrgan Pipe Cactus National Monument, National Park Service, Ajo, AZ, USA.
Peter HolmOrgan Pipe Cactus National Monument, National Park Service, Ajo, AZ, USA.

Funding

National Park Service P16AC01027
6 · The paper itself

Abstract

Population projections coupled with downscaled climate projections are a powerful tool that allows predicting future population dynamics of vulnerable plants in the face of a changing climate. Traditional approaches used to predict the vulnerability of plants to climate change (e.g. species distribution models) fail to mechanistically describe the basis of a population's dynamics and thus cannot be expected to correctly predict its temporal trends. In this study, we used a 23-year demographic dataset of the acuña cactus, an endangered species, to predict its population dynamics to the end of the century. We used integral projection models to describe its vital rates and population dynamics in relation to plant volume and key climatic variables. We used the resulting climate-driven IPM along with climatic projections to predict the population growth rates from 1991 to 2099. We found the average population growth rate of this population between 1991 and 2013 to be 0.70 (95% CI 0.61-0.79). This result confirms that the population of acuña cactus has been declining and that this decline is due to demographic structure and climate conditions. However, the projection model also predicts that, up to 2080, the population will remain relatively stable mainly due to the survival of its existing adult individuals. Notwithstanding, the long-term viability of the populations can only be achieved through the recruitment of new individuals.

Indexed as

CactaceaeClimate ChangeAnimalsPopulation DynamicsPopulation ForecastPopulation GrowthAcuña cactusClimate projectionsLong-term demographyPrecipitationTemperature

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.