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Journal articles on the topic 'Risk of extinction'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Finnegan, Seth, Jonathan L. Payne, and Steve C. Wang. "The Red Queen revisited: reevaluating the age selectivity of Phanerozoic marine genus extinctions." Paleobiology 34, no. 3 (2008): 318–41. http://dx.doi.org/10.1666/07008.1.

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Extinction risk is inversely related to genus age (time since first appearance) in most intervals of the Phanerozoic marine fossil record, in apparent contradiction to the macroevolutionary Red Queen's Hypothesis, which posits that extinction risk is independent of taxon age. Age-dependent increases in the mean species richness and geographic range of genera have been invoked to reconcile this genus-level observation with the presumed prevalence of Red Queen dynamics at the species level. Here we test these explanations with data from the Paleobiology Database. Multiple logistic regression dem

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2

Turvey, Samuel T., and Susanne A. Fritz. "The ghosts of mammals past: biological and geographical patterns of global mammalian extinction across the Holocene." Philosophical Transactions of the Royal Society B: Biological Sciences 366, no. 1577 (2011): 2564–76. http://dx.doi.org/10.1098/rstb.2011.0020.

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Although the recent historical period is usually treated as a temporal base-line for understanding patterns of mammal extinction, mammalian biodiversity loss has also taken place throughout the Late Quaternary. We explore the spatial, taxonomic and phylogenetic patterns of 241 mammal species extinctions known to have occurred during the Holocene up to the present day. To assess whether our understanding of mammalian threat processes has been affected by excluding these taxa, we incorporate extinct species data into analyses of the impact of body mass on extinction risk. We find that Holocene e

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3

Hanna, Emily, and Marcel Cardillo. "Predation selectively culls medium-sized species from island mammal faunas." Biology Letters 10, no. 4 (2014): 20131066. http://dx.doi.org/10.1098/rsbl.2013.1066.

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Globally, elevated extinction risk in mammals is strongly associated with large body size. However, in regions where introduced predators exert strong top-down pressure on mammal populations, the selectivity of extinctions may be skewed towards species of intermediate body size, leading to a hump-shaped relationship between size and extinction risk. The existence of this kind of extinction pattern, and its link to predation, has been contentious and difficult to demonstrate. Here, we test the hypothesis of a hump-shaped body size–extinction relationship, using a database of 927 island mammal p

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4

Geyle, Hayley M., John C. Z. Woinarski, G. Barry Baker, et al. "Quantifying extinction risk and forecasting the number of impending Australian bird and mammal extinctions." Pacific Conservation Biology 24, no. 2 (2018): 157. http://dx.doi.org/10.1071/pc18006.

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A critical step towards reducing the incidence of extinction is to identify and rank the species at highest risk, while implementing protective measures to reduce the risk of extinction to such species. Existing global processes provide a graded categorisation of extinction risk. Here we seek to extend and complement those processes to focus more narrowly on the likelihood of extinction of the most imperilled Australian birds and mammals. We considered an extension of existing IUCN and NatureServe criteria, and used expert elicitation to rank the extinction risk to the most imperilled species,

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5

Finnegan, Seth, Christian M. Ø. Rasmussen, and David A. T. Harper. "Identifying the most surprising victims of mass extinction events: an example using Late Ordovician brachiopods." Biology Letters 13, no. 9 (2017): 20170400. http://dx.doi.org/10.1098/rsbl.2017.0400.

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Mass extinction events are recognized by increases in extinction rate and magnitude and, often, by changes in the selectivity of extinction. When considering the selective fingerprint of a particular event, not all taxon extinctions are equally informative: some would be expected even under a ‘background’ selectivity regime, whereas others would not and thus require special explanation. When evaluating possible drivers for the extinction event, the latter group is of particular interest. Here, we introduce a simple method for identifying these most surprising victims of extinction events by tr

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6

Monroe, Melanie J., Stuart H. M. Butchart, Arne O. Mooers, and Folmer Bokma. "The dynamics underlying avian extinction trajectories forecast a wave of extinctions." Biology Letters 15, no. 12 (2019): 20190633. http://dx.doi.org/10.1098/rsbl.2019.0633.

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Population decline is a process, yet estimates of current extinction rates often consider just the final step of that process by counting numbers of species lost in historical times. This neglects the increased extinction risk that affects a large proportion of species, and consequently underestimates the effective extinction rate. Here, we model observed trajectories through IUCN Red List extinction risk categories for all bird species globally over 28 years, and estimate an overall effective extinction rate of 2.17 × 10 −4 /species/year. This is six times higher than the rate of outright ext

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7

Bromham, Lindell, Robert Lanfear, Phillip Cassey, Gillian Gibb, and Marcel Cardillo. "Reconstructing past species assemblages reveals the changing patterns and drivers of extinction through time." Proceedings of the Royal Society B: Biological Sciences 279, no. 1744 (2012): 4024–32. http://dx.doi.org/10.1098/rspb.2012.1437.

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Predicting future species extinctions from patterns of past extinctions or current threat status relies on the assumption that the taxonomic and biological selectivity of extinction is consistent through time. If the driving forces of extinction change through time, this assumption may be unrealistic. Testing the consistency of extinction patterns between the past and the present has been difficult, because the phylogenetically explicit methods used to model present-day extinction risk typically cannot be applied to the data from the fossil record. However, the detailed historical and fossil r

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8

Brown, Alastair. "Estimating extinction risk." Nature Climate Change 2, no. 3 (2012): 147. http://dx.doi.org/10.1038/nclimate1445.

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9

Frankham, Richard. "Predicting extinction risk." Nature 419, no. 6902 (2002): 18–19. http://dx.doi.org/10.1038/419018a.

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10

Forero-Medina, German, Marcus Vinícius Vieira, Carlos Eduardo de Viveiros Grelle, and Paulo Jose Almeida. "Body size and extinction risk in Brazilian carnivores." Biota Neotropica 9, no. 2 (2009): 45–49. http://dx.doi.org/10.1590/s1676-06032009000200004.

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Because extinctions are not random across taxa, it is important for conservation biologists to identify the traits that make some species more vulnerable. Factors associated with vulnerability include small geographical ranges, low densities, high trophic level, "slow" life histories, body size, and tolerance to altered habitats. In this study we examined the relationship of body size, reproductive output, longevity, and extinction risk for carnivores occurring in Brazil. We used generalized linear models analyses on phylogenetically independent contrasts to test the effect of body size alone,

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11

Banerjee, Amit, and George E. Boyajian. "Selectivity of foraminiferal extinction in the late Eocene." Paleobiology 23, no. 3 (1997): 347–57. http://dx.doi.org/10.1017/s0094837300019722.

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Late Eocene foraminiferal extinction shows diverse patterns of selective morphologic and latitudinal extinction. Taxa with discoidal shape, calcareous tests, and narrow and low-latitudinal ranges are at significantly greater risk of extinction. Elevated extinction intensities in calcareous tests are mainly due to the presence of larger benthic foraminifera that evolved in late Paleocene and diversified through the lower to middle Eocene. Selectivity of late Eocene foraminiferal extinction indicates that this extinction event was not a globally uniform event. Although this result does not verif

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12

Smits, Peter D. "Expected time-invariant effects of biological traits on mammal species duration." Proceedings of the National Academy of Sciences 112, no. 42 (2015): 13015–20. http://dx.doi.org/10.1073/pnas.1510482112.

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Determining which biological traits influence differences in extinction risk is vital for understanding the differential diversification of life and for making predictions about species’ vulnerability to anthropogenic impacts. Here I present a hierarchical Bayesian survival model of North American Cenozoic mammal species durations in relation to species-level ecological factors, time of origination, and phylogenetic relationships. I find support for the survival of the unspecialized as a time-invariant generalization of trait-based extinction risk. Furthermore, I find that phylogenetic and tem

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13

Reddin, Carl J., Ádám T. Kocsis, and Wolfgang Kiessling. "Climate change and the latitudinal selectivity of ancient marine extinctions." Paleobiology 45, no. 1 (2018): 70–84. http://dx.doi.org/10.1017/pab.2018.34.

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AbstractGeologically rapid climate change is anticipated to increase extinction risk nonuniformly across the Earth's surface. Tropical species may be more vulnerable than temperate species to current climate warming because of high tropical climate velocities and reduced seawater oxygen levels. To test whether rapid warming indeed preferentially increased the extinction risk of tropical fossil taxa, we combine a robust statistical assessment of latitudinal extinction selectivity (LES) with the dominant views on climate change occurring at ancient extinction crises. Using a global data set of m

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14

Volcan, Matheus Vieira, and Luis Esteban Krause Lanés. "Brazilian killifishes risk extinction." Science 361, no. 6400 (2018): 340–41. http://dx.doi.org/10.1126/science.aau5930.

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15

Kougioumoutzis, Konstantinos, Ioannis P. Kokkoris, Maria Panitsa, Arne Strid, and Panayotis Dimopoulos. "Extinction Risk Assessment of the Greek Endemic Flora." Biology 10, no. 3 (2021): 195. http://dx.doi.org/10.3390/biology10030195.

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Human-induced biodiversity decline has been on the rise for the past 250 years, due to various causes. What is equally troubling, is that we are unaware which plants are threatened and where they occur. Thus, we are far from reaching Aichi Biodiversity Target 2, i.e., assessing the extinction risk of most species. To that end, based on an extensive occurrence dataset, we performed an extinction risk assessment according to the IUCN Criteria A and B for all the endemic plant taxa occurring in Greece, one of the most biodiverse countries in Europe, in a phylogenetically-informed framework and id

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16

Collen, Ben, Louise McRae, Stefanie Deinet, et al. "Predicting how populations decline to extinction." Philosophical Transactions of the Royal Society B: Biological Sciences 366, no. 1577 (2011): 2577–86. http://dx.doi.org/10.1098/rstb.2011.0015.

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Global species extinction typically represents the endpoint in a long sequence of population declines and local extinctions. In comparative studies of extinction risk of contemporary mammalian species, there appear to be some universal traits that may predispose taxa to an elevated risk of extinction. In local population-level studies, there are limited insights into the process of population decline and extinction. Moreover, there is still little appreciation of how local processes scale up to global patterns. Advancing the understanding of factors which predispose populations to rapid declin

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17

Ripple, William J., Christopher Wolf, Thomas M. Newsome, Michael Hoffmann, Aaron J. Wirsing, and Douglas J. McCauley. "Extinction risk is most acute for the world’s largest and smallest vertebrates." Proceedings of the National Academy of Sciences 114, no. 40 (2017): 10678–83. http://dx.doi.org/10.1073/pnas.1702078114.

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Extinction risk in vertebrates has been linked to large body size, but this putative relationship has only been explored for select taxa, with variable results. Using a newly assembled and taxonomically expansive database, we analyzed the relationships between extinction risk and body mass (27,647 species) and between extinction risk and range size (21,294 species) for vertebrates across six main classes. We found that the probability of being threatened was positively and significantly related to body mass for birds, cartilaginous fishes, and mammals. Bimodal relationships were evident for am

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18

Gray, Alan. "The ecology of plant extinction: rates, traits and island comparisons." Oryx 53, no. 3 (2018): 424–28. http://dx.doi.org/10.1017/s0030605318000315.

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AbstractAlthough there is increasing evidence for a sixth mass extinction, relatively few plants have been officially declared extinct (<150 are categorized as Extinct on the IUCN Red List). The Red List, although the data are neither perfect nor comprehensive, is perhaps the most reliable indicator of extinction and extinction threat. Here, data collated from the Red List, of Extinct plant species and of Critically Endangered plant species with populations in decline, are examined to address three questions: (1) How do background, continental, and island plant extinction rates compare? (2)

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19

Louvet, Apolline, Clément Mantoux, and Nathalie Machon. "Assessing the extinction risk of the spontaneous flora in urban tree bases." PLOS Computational Biology 20, no. 6 (2024): e1012191. http://dx.doi.org/10.1371/journal.pcbi.1012191.

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As the spatial arrangement of trees planted along streets in cities makes their bases potential ecological corridors for the flora, urban tree bases may be a key contributor to the overall connectivity of the urban ecosystem. However, these tree bases are also a highly fragmented environment in which extinctions are frequent. The goal of this study was to assess the plant species’ ability to survive and spread through urban tree bases. To do so, we developed a Bayesian framework to assess the extinction risk of a plant metapopulation using presence/absence data, assuming that the occupancy dyn

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20

Boakes, Elizabeth H., Richard A. Fuller, Philip J. K. McGowan, and Georgina M. Mace. "Uncertainty in identifying local extinctions: the distribution of missing data and its effects on biodiversity measures." Biology Letters 12, no. 3 (2016): 20150824. http://dx.doi.org/10.1098/rsbl.2015.0824.

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Identifying local extinctions is integral to estimating species richness and geographic range changes and informing extinction risk assessments. However, the species occurrence records underpinning these estimates are frequently compromised by a lack of recorded species absences making it impossible to distinguish between local extinction and lack of survey effort—for a rigorously compiled database of European and Asian Galliformes, approximately 40% of half-degree cells contain records from before but not after 1980. We investigate the distribution of these cells, finding differences between

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21

Turvey, Samuel T., Clare Duncan, Nathan S. Upham, Xavier Harrison, and Liliana M. Dávalos. "Where the wild things were: intrinsic and extrinsic extinction predictors in the world's most depleted mammal fauna." Proceedings of the Royal Society B: Biological Sciences 288, no. 1946 (2021): 20202905. http://dx.doi.org/10.1098/rspb.2020.2905.

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Preventing extinctions requires understanding macroecological patterns of vulnerability or persistence. However, correlates of risk can be nonlinear, within-species risk varies geographically, and current-day threats cannot reveal drivers of past losses. We investigated factors that regulated survival or extinction in Caribbean mammals, which have experienced the globally highest level of human-caused postglacial mammalian extinctions, and included all extinct and extant Holocene island populations of non-volant species (219 survivals or extinctions across 118 islands). Extinction selectivity

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22

Davies, T. Jonathan, and Kowiyou Yessoufou. "Revisiting the impacts of non-random extinction on the tree-of-life." Biology Letters 9, no. 4 (2013): 20130343. http://dx.doi.org/10.1098/rsbl.2013.0343.

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The tree-of-life represents the diversity of living organisms. Species extinction and the concomitant loss of branches from the tree-of-life is therefore a major conservation concern. There is increasing evidence indicating that extinction is phylogenetically non-random, such that if one species is vulnerable to extinction so too are its close relatives. However, the impact of non-random extinctions on the tree-of-life has been a matter of recent debate. Here, we combine simulations with empirical data on extinction risk in mammals. We demonstrate that phylogenetically clustered extinction lea

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23

Martins, Maria João Fernandes, Gene Hunt, Carmi Milagros Thompson, Rowan Lockwood, John P. Swaddle, and T. Markham Puckett. "Shifts in sexual dimorphism across a mass extinction in ostracods: implications for sexual selection as a factor in extinction risk." Proceedings of the Royal Society B: Biological Sciences 287, no. 1933 (2020): 20200730. http://dx.doi.org/10.1098/rspb.2020.0730.

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Sexual selection often favours investment in expensive sexual traits that help individuals compete for mates. In a rapidly changing environment, however, allocation of resources to traits related to reproduction at the expense of those related to survival may elevate extinction risk. Empirical testing of this hypothesis in the fossil record, where extinction can be directly documented, is largely lacking. The rich fossil record of cytheroid ostracods offers a unique study system in this context: the male shell is systematically more elongate than that of females, and thus the sexes can be dist

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24

Janevski, G. Alex, and Tomasz K. Baumiller. "Evidence for extinction selectivity throughout the marine invertebrate fossil record." Paleobiology 35, no. 4 (2009): 553–64. http://dx.doi.org/10.1666/0094-8373-35.4.553.

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The fossil record has been used to show that in some geologic intervals certain traits of taxa may increase their survivability, and therefore that the risk of extinction is not randomly distributed among taxa. It has also been suggested that traits that buffer against extinction in background times do not confer the same resistance during mass extinction events. An open question is whether at any time in geologic history extinction probabilities were randomly distributed among taxa. Here we use a method for detecting random extinction to demonstrate that during both background and mass extinc

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25

Cuckston, Thomas. "Making extinction calculable." Accounting, Auditing & Accountability Journal 31, no. 3 (2018): 849–74. http://dx.doi.org/10.1108/aaaj-10-2015-2264.

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Purpose The purpose of this paper is to examine the role of the International Union for the Conservation of Nature (IUCN) Red List of Threatened Species in achieving biodiversity conservation and preventing the extinction of species. The Red List is a calculative device that classifies species in terms of their exposure to the risk of extinction. Design/methodology/approach The paper draws on theorising in the Social Studies of Finance literature to analyse the Red List in terms of how it frames a space of calculability for species extinction. The analysis then traces the ways that this framin

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26

Verde Arregoitia, Luis Darcy, Simon P. Blomberg, and Diana O. Fisher. "Phylogenetic correlates of extinction risk in mammals: species in older lineages are not at greater risk." Proceedings of the Royal Society B: Biological Sciences 280, no. 1765 (2013): 20131092. http://dx.doi.org/10.1098/rspb.2013.1092.

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Phylogenetic information is becoming a recognized basis for evaluating conservation priorities, but associations between extinction risk and properties of a phylogeny such as diversification rates and phylogenetic lineage ages remain unclear. Limited taxon-specific analyses suggest that species in older lineages are at greater risk. We calculate quantitative properties of the mammalian phylogeny and model extinction risk as an ordinal index based on International Union for Conservation of Nature Red List categories. We test for associations between lineage age, clade size, evolutionary distinc

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27

Foote, Mike. "Temporal variation in extinction risk and temporal scaling of extinction metrics." Paleobiology 20, no. 4 (1994): 424–44. http://dx.doi.org/10.1017/s0094837300012914.

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Many areas of paleobiological research require reliable extinction metrics. Branching-and-extinction simulations and data on Phanerozoic marine families and genera are used to investigate the relationship between interval length and commonly used extinction metrics. Normalization of extinction metrics for interval length is problematic, even when interval length is known without error, because normalization implicitly assumes some model of variation in extinction risk within an interval. If extinction risk within an interval were constant, or if it varied but played no role in the definition o

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28

Milius, Susan. "Wild Inbred Butterflies Risk Extinction." Science News 153, no. 14 (1998): 214. http://dx.doi.org/10.2307/4010440.

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29

Fox, Gordon A. "EXTINCTION RISK OF HETEROGENEOUS POPULATIONS." Ecology 86, no. 5 (2005): 1191–98. http://dx.doi.org/10.1890/04-0594.

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30

MacPhee, R. D. E. "Extinction: Complexity of Assessing Risk." Science 292, no. 5515 (2001): 217b—218. http://dx.doi.org/10.1126/science.292.5515.217b.

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31

Vucetich, John A., Thomas A. Waite, Linda Qvarnemark, and Siri Ibargüen. "Population Variability and Extinction Risk." Conservation Biology 14, no. 6 (2000): 1704–14. http://dx.doi.org/10.1111/j.1523-1739.2000.99359.x.

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32

Thomas, Chris D., Alison Cameron, Rhys E. Green, et al. "Extinction risk from climate change." Nature 427, no. 6970 (2004): 145–48. http://dx.doi.org/10.1038/nature02121.

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33

Harte, John, Annette Ostling, Jessica L. Green, and Ann Kinzig. "Climate change and extinction risk." Nature 430, no. 6995 (2004): 34. http://dx.doi.org/10.1038/nature02718.

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34

Miller, R. M. "Extinction Risk and Conservation Priorities." Science 313, no. 5786 (2006): 441a. http://dx.doi.org/10.1126/science.313.5786.441a.

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35

Higgins, Kevin. "Metapopulation extinction risk: Dispersal’s duplicity." Theoretical Population Biology 76, no. 2 (2009): 146–55. http://dx.doi.org/10.1016/j.tpb.2009.05.006.

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36

Pimm, Stuart L., H. Lee Jones, and Jared Diamond. "On the Risk of Extinction." American Naturalist 132, no. 6 (1988): 757–85. http://dx.doi.org/10.1086/284889.

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37

Reed, David H. "Extinction risk in fragmented habitats." Animal Conservation 7, no. 2 (2004): 181–91. http://dx.doi.org/10.1017/s1367943004001313.

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38

Roberts, Callum M., and Julie P. Hawkins. "Extinction risk in the sea." Trends in Ecology & Evolution 14, no. 6 (1999): 241–46. http://dx.doi.org/10.1016/s0169-5347(98)01584-5.

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39

Vucetich, John A., Thomas A. Waite, Linda Qvarnemark, and Siri Ibarguen. "Population Variability and Extinction Risk." Conservation Biology 14, no. 6 (2000): 1704–14. http://dx.doi.org/10.1046/j.1523-1739.2000.99359.x.

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40

Kowalczyk, Kacper, and Nikhil Venkatesh. "Risk, Non-Identity, and Extinction." Monist 107, no. 2 (2024): 146–56. http://dx.doi.org/10.1093/monist/onae004.

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Abstract This paper examines a recent argument in favour of strong precautionary action—possibly including working to hasten human extinction—on the basis of a decision-theoretic view that accommodates the risk-attitudes of all affected while giving more weight to the more risk-averse attitudes. First, we dispute the need to take into account other people’s attitudes towards risk at all. Second, we argue that a version of the non-identity problem undermines the case for doing so in the context of future people. Lastly, we suggest that we should not work to hasten human extinction, even if sign

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41

Maier, Maximilian, Adam J. L. Harris, David Kellen, and Henrik Singmann. "Decision making under extinction risk." Cognitive Psychology 159 (July 2025): 101735. https://doi.org/10.1016/j.cogpsych.2025.101735.

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42

Smits, Peter, and Seth Finnegan. "How predictable is extinction? Forecasting species survival at million-year timescales." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1788 (2019): 20190392. http://dx.doi.org/10.1098/rstb.2019.0392.

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A tenet of conservation palaeobiology is that knowledge of past extinction patterns can help us to better predict future extinctions. Although the future is unobservable, we can test the strength of this proposition by asking how well models conditioned on past observations would have predicted subsequent extinction events at different points in the geological past. To answer this question, we analyse the well-sampled fossil record of Cenozoic planktonic microfossil taxa (Foramanifera, Radiolaria, diatoms and calcareous nanoplankton). We examine how extinction probability varies over time as a

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43

Frick, Winifred F., Sébastien J. Puechmaille, Joseph R. Hoyt, et al. "Disease alters macroecological patterns of North American bats." Global Ecology and Biogeography 24, no. 7 (2015): 741–49. https://doi.org/10.5281/zenodo.13527712.

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(Uploaded by Plazi for the Bat Literature Project) Aim We investigated the effects of disease on the local abundances and distributions of species at continental scales by examining the impacts of white-nose syndrome, an infectious disease of hibernating bats, which has recently emerged in North America. Location North America and Europe. Methods We used four decades of population counts from 1108 populations to compare the local abundances of bats in North America before and after the emergence of white-nose syndrome to the situation in Europe, where the disease is endemic. We also examined t

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44

Frick, Winifred F., Sébastien J. Puechmaille, Joseph R. Hoyt, et al. "Disease alters macroecological patterns of North American bats." Global Ecology and Biogeography 24, no. 7 (2015): 741–49. https://doi.org/10.5281/zenodo.13527712.

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(Uploaded by Plazi for the Bat Literature Project) Aim We investigated the effects of disease on the local abundances and distributions of species at continental scales by examining the impacts of white-nose syndrome, an infectious disease of hibernating bats, which has recently emerged in North America. Location North America and Europe. Methods We used four decades of population counts from 1108 populations to compare the local abundances of bats in North America before and after the emergence of white-nose syndrome to the situation in Europe, where the disease is endemic. We also examined t

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45

Frick, Winifred F., Sébastien J. Puechmaille, Joseph R. Hoyt, et al. "Disease alters macroecological patterns of North American bats." Global Ecology and Biogeography 24, no. 7 (2015): 741–49. https://doi.org/10.5281/zenodo.13527712.

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(Uploaded by Plazi for the Bat Literature Project) Aim We investigated the effects of disease on the local abundances and distributions of species at continental scales by examining the impacts of white-nose syndrome, an infectious disease of hibernating bats, which has recently emerged in North America. Location North America and Europe. Methods We used four decades of population counts from 1108 populations to compare the local abundances of bats in North America before and after the emergence of white-nose syndrome to the situation in Europe, where the disease is endemic. We also examined t

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46

Frick, Winifred F., Sébastien J. Puechmaille, Joseph R. Hoyt, et al. "Disease alters macroecological patterns of North American bats." Global Ecology and Biogeography 24, no. 7 (2015): 741–49. https://doi.org/10.5281/zenodo.13527712.

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(Uploaded by Plazi for the Bat Literature Project) Aim We investigated the effects of disease on the local abundances and distributions of species at continental scales by examining the impacts of white-nose syndrome, an infectious disease of hibernating bats, which has recently emerged in North America. Location North America and Europe. Methods We used four decades of population counts from 1108 populations to compare the local abundances of bats in North America before and after the emergence of white-nose syndrome to the situation in Europe, where the disease is endemic. We also examined t

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47

Jones, Kate E., Andy Purvis, and John L. Gittleman. "Biological Correlates of Extinction Risk in Bats." American Naturalist 161, no. 4 (2003): 601–14. https://doi.org/10.5281/zenodo.14820210.

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(Uploaded by Plazi for the Bat Literature Project) We investigated patterns and processes of extinction and threat in bats using a multivariate phylogenetic comparative approach. Of nearly 1,000 species worldwide, 239 are considered threatened by the International Union for Conservation of Nature and Natural Resources (IUCN) and 12 are extinct. Small geographic ranges and low wing aspect ratios are independently found to predict extinction risk in bats, which explains 48% of the total variance in IUCN assessments of threat. The pattern and correlates of extinction risk in the two bat suborders

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Welch, Jessica, and Jeremy Beaulieu. "Predicting Extinction Risk for Data Deficient Bats." Diversity 10, no. 3 (2018): 63. http://dx.doi.org/10.3390/d10030063.

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Conservation biology aims to identify species most at risk of extinction and to understand factors that forecast species vulnerability. The International Union for Conservation of Nature (IUCN) Red List is a leading source for extinction risk data of species globally, however, many potentially at risk species are not assessed by the IUCN owing to inadequate data. Of the approximately 1150 bat species (Chiroptera) recognized by the IUCN, 17 percent are categorized as Data Deficient. Here, we show that large trait databases in combination with a comprehensive phylogeny can identify which traits

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Meissen, Justin C., Susan M. Galatowitsch, and Meredith W. Cornett. "Assessing long-term risks of prairie seed harvest: what is the role of life-history?" Botany 95, no. 11 (2017): 1081–92. http://dx.doi.org/10.1139/cjb-2017-0069.

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To meet the demand for more and larger tallgrass prairie restorations, seed is frequently collected en-masse from remnant native plant populations. Overharvesting of seed may lead to population extinctions, but these risks are not well studied. Species’ reproductive strategies may provide a basis for risk assessment. We assessed extinction risks associated with seed harvest for grassland plant species with different reproductive strategies (clonal vs. non-clonal). Using stage-based matrix models, we projected the extinction risk for two clonal and four non-clonal prairie species subjected to f

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Chen, Youhua. "Modeling Extinction Risk of Endemic Birds of Mainland China." International Journal of Evolutionary Biology 2013 (December 18, 2013): 1–5. http://dx.doi.org/10.1155/2013/639635.

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The extinction risk of endemic birds of mainland China was modeled over evolutionary time. Results showed that extinction risk of endemic birds in mainland China always tended to be similar within subclades over the evolutionary time of species divergence, and the overall evolution of extinction risk of species presented a conservatism pattern, as evidenced by the disparity-through-time plot. A constant-rate evolutionary model was the best one to quantify the evolution of extinction risk of endemic birds of mainland China. Thus, there was no rate shifting pattern for the evolution of extinctio

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