scholarly journals Propuesta de evaluación para asignar tentativamente riesgo de extinción (ETRE): el caso de Peltogyne mexicana (Leguminosae)

2018 ◽  
Vol 96 (4) ◽  
pp. 609
Author(s):  
Juan Carlos Montero-Castro ◽  
José Antonio Zuñiga-Zuñiga ◽  
Cuauhtémoc Sáenz-Romero ◽  
Nahum Modesto Sánchez-Vargas

<p><strong>Background</strong>: The rates of extinction evaluations are slow in relation to the magnitude of the problem. In the case of plants, just about 6 % of the species have been evaluated. On the other hand, it has been determined that the extension of the distribution area is a good predictor of the extinction risk.</p><p><strong>Questions</strong>: Is it possible to speed up the estimate of extinction risk of plant species? Can risk estimates that consider only the area of distribution converge with estimates from already established methods?</p><p><strong>Taxon</strong>: <em>Peltogyne mexicana</em></p><p><strong>Study</strong> <strong>site</strong>: Guerrero, Mexico</p><p><strong>Methods</strong>: The Evaluation to Assign Tentatively Risk of Extinction (ETRE) was implemented comparing the area of occurrence (AOO), calculated with the GeoCat program, of the tropical timber tree <em>Peltogyne mexicana</em> against the AOO of other tropical trees (all Leguminosae) that are recognized with risk of extinction. The Method of Evaluation of Species at Risk (MER) was implemented and the results were compared.</p><p><strong>Results</strong>: With the implementation of the ETRE it was determined that <em>Peltogyne mexicana</em> has a high extinction risk, category that is confirmed with the MER implementation.</p><strong>Discussion</strong>: The suitability of the ETRE is based on the fact that several predictors of the risk of extinction are dependent on the size of the distribution area and that the estimate of the distribution area is amply accepted through the AOO. The ETRE is impartial, easily replicable, which can be implemented previously to evaluations more scrupulous, such as the MER. Actions are suggested to alleviate the risk situation of <em>Peltogyne mexicana</em>.

2014 ◽  
Vol 5 (2) ◽  
pp. 450-462 ◽  
Author(s):  
Karen E. Bagne ◽  
Megan M. Friggens ◽  
Sharon J. Coe ◽  
Deborah M. Finch

Abstract Species conservation often prioritizes attention on a small subset of “special status” species at high risk of extinction, but actions based on current lists of special status species may not effectively moderate biodiversity loss if climate change alters threats. Assessments of climate change vulnerability may provide a method to enhance identification of species at risk of extinction. We compared climate change vulnerability and lists of special status species to examine the adequacy of current lists to represent species at risk of extinction in the coming decades. The comparison was made for terrestrial vertebrates in a regionally important management area of the southwestern United States. Many species not listed as special status were vulnerable to increased extinction risk with climate change. Overall, 74% of vulnerable species were not included in lists of special status and omissions were greatest for birds and reptiles. Most special status species were identified as additionally vulnerable to climate change impacts and there was little evidence to indicate the outlook for these species might improve with climate change, which suggests that existing conservation efforts will need to be intensified. Current special status lists encompassed climate change vulnerability best if climate change was expected to exacerbate current threats, such as the loss of wetlands, but often overlooked climate-driven threats, such as exceeding physiological thresholds.


2016 ◽  
Vol 12 (4) ◽  
pp. 20150843 ◽  
Author(s):  
Ben Collen ◽  
Nicholas K. Dulvy ◽  
Kevin J. Gaston ◽  
Ulf Gärdenfors ◽  
David A. Keith ◽  
...  

The identification of species at risk of extinction is a central goal of conservation. As the use of data compiled for IUCN Red List assessments expands, a number of misconceptions regarding the purpose, application and use of the IUCN Red List categories and criteria have arisen. We outline five such classes of misconception; the most consequential drive proposals for adapted versions of the criteria, rendering assessments among species incomparable. A key challenge for the future will be to recognize the point where understanding has developed so markedly that it is time for the next generation of the Red List criteria. We do not believe we are there yet but, recognizing the need for scrutiny and continued development of Red Listing, conclude by suggesting areas where additional research could be valuable in improving the understanding of extinction risk among species.


Heredity ◽  
2014 ◽  
Vol 113 (1) ◽  
pp. 74-85 ◽  
Author(s):  
K Daïnou ◽  
G Mahy ◽  
J Duminil ◽  
C W Dick ◽  
J-L Doucet ◽  
...  

2013 ◽  
Vol 41 (2) ◽  
pp. 141 ◽  
Author(s):  
M Thilina R Fernando ◽  
KMG Gehan Jayasuriya ◽  
Jeffrey L Walck ◽  
ASTB Wijetunga

2018 ◽  
Vol 66 (7) ◽  
pp. 541 ◽  
Author(s):  
J. L. Silcock ◽  
R. J. Fensham

Threatened species lists are used at global, national and regional scales to identify species at risk of extinction. Many species are listed due to restricted population size or geographic distribution, and decline is often inferred rather than quantified. Vascular plants comprise over 70% of nationally listed threatened species, but there is an incomplete picture of which species are most at risk of extinction, where these occur and the factors behind their declines. We compiled published information and the best available field knowledge including 125 expert interviews to identify declining and at risk species. The candidate list comprised 1135 taxa, which were mostly listed as Critically Endangered or Endangered under Federal and/or State legislation, but included 80 that are currently unlisted but considered to be highly threatened. In total, 418 taxa were assessed as having a documented, suspected or projected continuing decline. These were ranked based on extinction risk and magnitude of continuing decline, which suggest that 296 are at risk of extinction under current management regimes, including 55 at high risk of extinction. Declining and imperilled taxa are concentrated in a relatively small number of regions and habitats, and six threatening processes are driving the majority of declines. Field surveys and robust, repeatable monitoring are required to better inform population trends and extinction risk, as well as inform the status of almost 200 taxa that are potentially imperilled but poorly known. Identification of declining taxa can identify key issues for flora conservation across a continent, and allow for targeted and efficient recovery efforts.


2020 ◽  
Vol 60 (2) ◽  
pp. 535-548 ◽  
Author(s):  
Donald B Miles

Synopsis The integrity of regional and local biological diversity is under siege as a result of multiple anthropogenic threats. The conversion of habitats, such as rain forests, into agricultural ecosystems, reduces the area available to support species populations. Rising temperatures and altered rainfall patterns lead to additional challenges for species. The ability of conservation biologists to ascertain the threats to a species requires data on changes in distribution, abundance, life history, and ecology. The International Union for the Conservation of Nature (IUCN) uses these data to appraise the extinction risk for a species. However, many species remain data deficient (DD) or unassessed. Here, I use 14 morphological traits related to locomotor function, habitat, and feeding to predict the threat status of over 400 species of lizards in the infraorder Iguania. Morphological traits are an ideal proxy for making inferences about a species’ risk of extinction. Patterns of morphological covariation have a known association with habitat use, foraging behavior, and physiological performance across multiple taxa. Results from phylogenetic general linear models revealed that limb lengths as well as head characters predicted extinction risk. In addition, I used an artificial neural network (ANN) technique to generate a classification function based on the morphological traits of species with an assigned IUCN threat status. The network approach identified eight morphological traits as predictors of extinction risk, which included head and limb characters. The best supported model had a classification accuracy of 87.4%. Moreover, the ANN model predicted &gt;18% of DD/not assessed species were at risk of extinction. The predicted assessments were supported by other sources of threat status, for example, Convention on International Trade in Endangered Species appendices. Because of the functional link between morphology, performance, and ecology, an ecomorphological approach may be a useful tool for rapid assessment of DD or poorly known species.


DNA Research ◽  
2018 ◽  
Vol 25 (4) ◽  
pp. 409-419 ◽  
Author(s):  
Ramasamy Yasodha ◽  
Ramesh Vasudeva ◽  
Swathi Balakrishnan ◽  
Ambothi Rathnasamy Sakthi ◽  
Nicodemus Abel ◽  
...  

2004 ◽  
Vol 11 (02) ◽  
pp. 105-121 ◽  
Author(s):  
Mario Abundo

We consider a one-dimensional population whose evolution is described by a jump-diffusion equation and we study the effects of changing the coefficients of the equation on the extinction time, that is the instant at which the population becomes arbitrarily small. It is shown that, under the same diffusion coefficient, if one reduces the drift and the size of jumps, the speed of extinction increases; moreover, the probability of reaching a higher population state than the present one before reaching a lower population size decreases. If the diffusion coefficient is state-independent, the speed of extinction increases with it. Furthermore, if no jumps are allowed (i.e. for a simple-diffusion equation), then under certain conditions on the coefficients of the equation both large and small values of the diffusion coefficient result in a higher extinction risk.


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