Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
51
datasets available to search
ShareScore release 0.7.1
Dataset results
51 results for “population viability”
Fig. 1 in Population viability analysis of the population of Raffles' banded langurs Presbytis femoralis in Singapore
Fig. 1. Top left: baseline scenario shown with threat and management scenarios found to markedly impact upon population growth, run for 500 iterations over a 50-year period and showing the mean number of extant individuals for each. Top right: a retrospective analysis using parameters from the baseline scenario with estimates of 40 individuals in 2010 to predict the current population in 2021. Bottom right: a retrospective analysis using parameters from the baseline scenario with estimates of 10–14 individuals in 1990 to predict the current population in 2021. Bottom left: The Raffles' banded langur. Photos: Sabrina Jabbar.
Data: Applying stochastic and Bayesian integral projection modeling to amphibian population viability analysis
<p>Integral projection models (IPMs) can estimate the population dynamics of species for which both discrete life stages and continuous variables influence demographic rates. Stochastic IPMs for imperiled species, in turn, can facilitate population viability analyses (PVAs) to guide conservation decision-making. Biphasic amphibians are globally distributed, often highly imperiled, and ecologically well-suited to the IPM approach. Herein, we present the first stochastic size- and stage-structured IPM for a biphasic amphibian, the U.S. federally threatened California tiger salamander (<em>Ambystoma</em> <em>californiense</em>; CTS). This Bayesian model reveals that CTS population dynamics show the greatest elasticity to changes in juvenile and metamorph growth and that populations are likely to experience rapid growth at low density. We integrated this IPM with climatic drivers of CTS demography to develop a PVA and examined CTS extinction risk under the primary threats of habitat loss and climate change. The PVA indicates that long-term viability is possible with surprisingly high (20–50%) terrestrial mortality, but simultaneously identified likely minimum terrestrial buffer requirements of 600–1000 m while accounting for numerous parameter uncertainties through the Bayesian framework. These analyses underscore the value of stochastic and Bayesian IPMs for understanding both climate-dependent taxa and those with cryptic life histories (e.g., biphasic amphibians) in service of ecological discovery and biodiversity conservation. In addition to providing guidance for CTS recovery, the contributed IPM and PVA supply a framework for applying these tools to investigations of ecologically-similar species.</p>
FIGURE 3 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 3 | A. Salminus brasiliensis population structure from the Bayesian cluster analysis for K = 2 (see also S1). Black lines separate the different sampled populations based on location (Pop1, Pop2, Pop3, Pop4 and Pop5; Fig. 1). B. DAPC scatterplots and membership probabilities show the first two principal components of the DAPC. Populations are represented in different colors: 1 - Lilac (Pop5); 2 - Green (Pop4), 3 - Orange (Pop3), 4 - Lilac (Pop2) and 5 - Brown (Pop1). C. Membership probabilities (in bar plots), represent individuals in different clusters.
FIGURE 2 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 2 | Predicted genetic diversity in Salminus brasiliensis populations with distinct fragmentation levels over the next 100 years. Using BOTTLESIM 2.6, we estimated the retained percentage of effective number of alleles (Ae) and expected heterozygosity (He) under 100%, 75% and 50% of retain bottleneck scenarios. In all populations, the current population size is unable to maintain 80% of current genetic diveristy, which it is indicated by a red line.
FIGURE 1 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 1 | Study area of Salminus brasiliensis populations in the Uruguay River basin, southern Brazil. A. Picture of Canyon Agusto César Gorge, Upper Uruguay River (acquired rights); B. Picture of Yucumã our Moconá Falls (google font: https://7mar.com.ar/mocona). Salminus brasiliensis (personal picture).
Fig. 1 in Population Assessment Methods For The Sunda Colugo Galeopterus Variegatus (Mammalia: Dermoptera) In Tropical Forests And Their Viability In Singapore
Fig. 1. The detection probability function of the Fourier series model after removing the extreme 5% of observations.
Fig. 2 in Population Assessment Methods For The Sunda Colugo Galeopterus Variegatus (Mammalia: Dermoptera) In Tropical Forests And Their Viability In Singapore
Fig. 2. Map showing the separation between Bukit Timah Nature Reserve and Bukit Batok Nature Park (location with new sightings of Sunda Colugo).
Consequences of cross-season demographic correlations for population viability
<p class="MsoNormal"><span>Demographic correlations are pervasive in wildlife populations and can represent important secondary drivers of population growth. Empirical evidence suggests that correlations are in general positive for long-lived species, but little is known about the degree of variation among spatially segregated populations of the same species in relation to environmental conditions. We assessed the relative importance of two cross-season correlations in survival and productivity, for three Atlantic puffin</span><span> (</span><span><em>Fratercula</em> <em>arctica</em></span><span>) </span><span>populations with contrasting population trajectories and non-overlapping year-round distributions. The two correlations reflected either a relationship between adult survival prior to breeding on productivity or a relationship between productivity and adult survival in the subsequent year. Demographic rates and their correlations were estimated with an integrated population model, and their respective contributions to variation in population growth were calculated using a transient life table response experiment. For all three populations, demographic correlations were positive at both time lags, although their strength differed. Given the difference in year-round distributions of these populations, this variation in the strength of population-level demographic correlations points to environmental conditions as an important driver of demographic variation through life-history constraints. Consequently, the contributions of variances and correlations in demographic rates to population growth rates differed among puffin populations, which has implications for – particularly small – populations' viability under environmental change as positive correlations tend to reduce the stochastic population growth rate.</span></p>
Consequences of cross-season demographic correlations for population viability
Open the record for dataset details and reuse information.
Data: Applying stochastic and Bayesian integral projection modeling to amphibian population viability analysis
Open the record for dataset details and reuse information.
Data from: Population viability of the orchid Gymnadenia conopsea increases with population size but is not related to genetic diversity
Open the record for dataset details and reuse information.
Data for: An integrated population model and population viability assessment for the southern population of a data-poor species
Open the record for dataset details and reuse information.
Modeling Viability of Avian Populations in the Southern Appalachians: Potential impacts of Climate Change from 2002 to 2004
There is a general consensus that the global climate has slowly warmed (0.6 degrees C) over the past 100 years and that this trend will continue at an accelerated rate over the next 100 years (1 degree to 6 degrees C) (Kattenburg et al. 1996). Aside from the mean annual increase in temperature, the frequency of weather extremes, such as heat waves, drought, and tropical storms are projected to increase across North America over the next century (Easterling et al. 2000). Past changes in temperature and precipitation have been accompanied by changes in insect and vertebrate distributions from both tropical and temperate environments (Parmesan 1996, Pounds et. Al 1999). We have developed bird-habitat models that allow us to predict the occurrences of species in specific forest types within and across national forests within the Blue Ridge physiographic province with a high degree of accuracy (Linder et al. submitted). These models categorize habitat as unsuitable, marginal or high quality as determined by the rate of occupancy over five years of point count data. We will validate our occurrence models with reproductive data. We hypothesize that reproductive success will correspond to predicted habitat quality. While stochastic events may obscure patterns in the short-term, long-term reproductive trends should reflect site quality.
Data from: Evaluating population viability and efficacy of conservation management using integrated population models
Predicting population responses to environmental conditions or management scenarios is a fundamental challenge for conservation. Proper consideration of demographic, environmental and parameter uncertainties is essential for projecting population trends and optimal conservation strategies. We developed a coupled integrated population model-Bayesian population viability analysis to assess the (1) impact of demographic rates (survival, fecundity, immigration) on past population dynamics; (2) population viability 10 years into the future; and (3) efficacy of possible management strategies for the federally endangered Great Lakes piping plover Charadrius melodus population. Our model synthesizes long-term population survey, nest monitoring and mark–resight data, while accounting for multiple sources of uncertainty. We incorporated latent abundance of eastern North American merlins Falco columbarius, a primary predator of adult plovers, as a covariate on adult survival via a parallel state-space model, accounting for the influence of an imperfectly observed process (i.e. predation pressure) on population viability. Mean plover abundance increased from 18 pairs in 1993 to 75 pairs in 2016, but annual population growth (math formula) was projected to be 0.95 (95% CI 0.72–1.12), suggesting a potential decline to 67 pairs within 10 years. Without accounting for an expanding merlin population, we would have concluded that the plover population was projected to increase (math formula = 1.02; 95% CI 0.94–1.09) to 91 pairs by 2026. We compared four conservation scenarios: (1) no proposed management; (2) increased control of chick predators (e.g. Corvidae, Laridae, mammals); (3) increased merlin control; and (4) simultaneous chick predator and merlin control. Compared to the null scenario, chick predator control reduced quasi-extinction probability from 11.9% to 8.7%, merlin control more than halved (3.5%) the probability and simultaneous control reduced quasi-extinction probability to 2.6%. Synthesis and applications. Piping plover recovery actions should consider systematic predator control, rather than current ad hoc protocols, especially given the predicted increase in regional merlin abundance. This approach of combining integrated population models with Bayesian population viability analysis to identify limiting components of the population cycle and evaluate alternative management strategies for conservation decision-making shows great utility for aiding recovery of threatened populations.
Vortex input files -- Linking habitat and population viability analysis models of a metapopulation of Florida scrub-jays
<p>Vortex input files for manuscript "<span>Linking </span><span><span>habitat and population viability analysis models to account for <span>vegetation dynamics, habitat fragmentation, and social behavior of a metapopulation of Florida scrub-jays</span></span></span>" by R. C. Lacy, D. B. Breininger, et al. </p>
Range-wide population viability analyses reveal high sensitivity to wildflower harvesting in extreme environments
Open the record for dataset details and reuse information.
Data from: Reproductive losses due to climate change-induced earlier flowering are not the primary threat to plant population viability in a perennial herb
Open the record for dataset details and reuse information.
Using Population Viability Analysis (PVA) to inform and adapt ex situ conservation activities benefitting a Critically Endangered butterfly
Open the record for dataset details and reuse information.
Data from: Evaluating population viability and efficacy of conservation management using integrated population models
Open the record for dataset details and reuse information.
Data From: Genetic viability of small Plains bison (Bison bison) populations a century after reintroduction
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.