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1.
Curr Biol ; 32(8): R356-R357, 2022 04 25.
Article in English | MEDLINE | ID: mdl-35472420

ABSTRACT

Bakker et al. use Robinson et al.'s reconstruction of three species of vulture to illustrate how incorrect generation time estimates can yield inaccurate results, underscoring the importance of generation time specification for genetically based reconstructions, especially for comparisons and species of conservation concern.


Subject(s)
Falconiformes , Animals , Demography
2.
Bull Math Biol ; 81(6): 1916-1942, 2019 06.
Article in English | MEDLINE | ID: mdl-30847643

ABSTRACT

We consider a simple metapopulation model with explicit movement of individuals between patches, in which each patch is either a source or a sink. We prove that similarly to the case of patch occupancy metapopulations with implicit movement, there exists a threshold number of source patches such that the population potentially becomes extinct below the threshold and established above the threshold. In the case where the matrix describing the movement of populations between spatial locations is irreducible, the result is global; further, assuming a complete mobility graph with equal movement rates, we use the principle of equitable partitions to obtain an explicit expression for the threshold. Brief numerical considerations follow.


Subject(s)
Models, Biological , Animals , Computer Simulation , Ecosystem , Food Chain , Humans , Linear Models , Mathematical Concepts , Population Dynamics/statistics & numerical data , Population Dynamics/trends
3.
PLoS One ; 14(12): e0226491, 2019.
Article in English | MEDLINE | ID: mdl-31891594

ABSTRACT

Conservation practitioners are increasingly looking to species translocations as a tool to recover imperiled taxa. Quantitative predictions of where animals are likely to move when released into new areas would allow managers to better address the social, institutional, and ecological dimensions of conservation translocations. Using >5 million California condor (Gymnogyps californianus) occurrence locations from 75 individuals, we developed and tested circuit-based models to predict condor movement away from release sites. We found that circuit-based models of electrical current were well calibrated to the distribution of condor movement data in southern and central California (continuous Boyce Index = 0.86 and 0.98, respectively). Model calibration was improved in southern California when additional nodes were added to the circuit to account for nesting and feeding areas, where condor movement densities were higher (continuous Boyce Index = 0.95). Circuit-based projections of electrical current around a proposed release site in northern California comported with the condor's historical distribution and revealed that, initially, condor movements would likely be most concentrated in northwestern California and southwest Oregon. Landscape linkage maps, which incorporate information on landscape resistance, complement circuit-based models and aid in the identification of specific avenues for population connectivity or areas where movement between populations may be constrained. We found landscape linkages in the Coast Range and the Sierra Nevada provided the most connectivity to a proposed reintroduction site in northern California. Our methods are applicable to conservation translocations for other species and are flexible, allowing researchers to develop multiple competing hypotheses when there are uncertainties about landscape or social attractants, or uncertainties in the landscape conductance surface.


Subject(s)
Conservation of Natural Resources/methods , Falconiformes/physiology , Animals , California , Endangered Species , Geographic Information Systems , Models, Theoretical , Population Dynamics
4.
Ecohealth ; 14(Suppl 1): 92-105, 2017 03.
Article in English | MEDLINE | ID: mdl-26769426

ABSTRACT

Translocation is an increasingly important tool for managing endangered species, but factors influencing the survival of translocated individuals are not well understood. Here we examine intrinsic and extrinsic drivers of survival for critically endangered California condors (Gymnogyps californianus) whose wild population recovery is reliant upon releases of captively bred stock. We used known fate models and information-theoretic methods to compare the ability of hypothesized covariates, most of which serve as proxies for lead exposure risk, to predict survival rates of condors in California. Our best supported model included the following predictors of survival: age of the recovery program, precipitation, proportion of days observed feeding on proffered carcasses, maximum blood lead concentration over the preceding 18 months, and time since release. We found that as flocks have increased in size and age, condors are increasingly likely to range more widely and less likely to be observed feeding on proffered food, and these "wilder" behaviors were associated with lower survival. After accounting for these behaviors, we found a positive survival trend, which we attribute to ongoing improvements in management. Our findings illustrate that the survival of translocated animals, such as highly social California condors, is influenced by behaviors that change through time.


Subject(s)
Endangered Species , Lead/toxicity , Raptors , Animals , California , Lead/blood , Population Dynamics
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