Extinction Vortex Dynamics of Top Predators Isolated by Urbanization John F

Extinction Vortex Dynamics of Top Predators Isolated by Urbanization John F

University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Papers in Natural Resources Natural Resources, School of 6-3-2019 Extinction vortex dynamics of top predators isolated by urbanization John F. Benson University of Nebraska - Lincoln & University of California, [email protected] Peter J. Mahoney University of Washington, [email protected] T. Winston Vickers University of California Jeff A. Sikich Santa Monica Mountains National Recreation Area Paul Beier Northern Arizona University See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/natrespapers Part of the Natural Resources and Conservation Commons, Natural Resources Management and Policy Commons, and the Other Environmental Sciences Commons Benson, John F.; Mahoney, Peter J.; Vickers, T. Winston; Sikich, Jeff A.; Beier, Paul; Riley, Seth P.D.; Ernest, Holly B.; and Boyce, Walter M., "Extinction vortex dynamics of top predators isolated by urbanization" (2019). Papers in Natural Resources. 1033. https://digitalcommons.unl.edu/natrespapers/1033 This Article is brought to you for free and open access by the Natural Resources, School of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Papers in Natural Resources by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors John F. Benson, Peter J. Mahoney, T. Winston Vickers, Jeff A. Sikich, Paul Beier, Seth P.D. Riley, Holly B. Ernest, and Walter M. Boyce This article is available at DigitalCommons@University of Nebraska - Lincoln: https://digitalcommons.unl.edu/natrespapers/1033 Ecological Applications, 29(3), 2019, e01868 © 2019 by the Ecological Society of America Extinction vortex dynamics of top predators isolated by urbanization 1,2,8 3 4 5 6 2,5 JOHN F. B ENSON, PETER J. M AHONEY, T. W INSTON VICKERS, JEFF A. SIKICH, PAUL BEIER, SETH P. D. R ILEY, 7 4 HOLLY B. ERNEST, AND WALTER M. BOYCE 1School of Natural Resources, University of Nebraska, Lincoln, Nebraska 68583 USA 2La Kretz Center for California Conservation Science, Institute of the Environment and Sustainability, University of California, Los Angeles, California 90095 USA 3School of Environmental and Forest Sciences, University of Washington, Seattle, Washington 98195 USA 4Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, California 95616 USA 5National Park Service, Santa Monica Mountains National Recreation Area, Thousand Oaks, California 91360 USA 6School of Forestry, Northern Arizona University, Flagstaff, Arizona 86011 USA 7Department of Veterinary Sciences, University of Wyoming, Laramie, Wyoming 82071 USA Citation: Benson, J. F., P. J. Mahoney, T. W. Vickers, J. A. Sikich, P. Beier, S. P. D. Riley, H. B. Ernest, and W. M. Boyce. 2019. Extinction vortex dynamics of top predators isolated by urbanization. Ecological Applications 29(3):e01868. 10.1002/eap.1868 Abstract. Extinction risk is elevated in small, isolated populations due to demographic and genetic interactions. Therefore, it is critical to model these processes realistically in popula- tion viability analyses (PVA) to inform local management and contribute to a greater under- standing of mechanisms within the extinction vortex. We conducted PVA’s for two small mountain lion populations isolated by urbanization in southern California to predict popula- tion growth, extinction probability, and loss of genetic diversity with empirical data. Specifi- cally, we (1) provide the first PVA for isolated mountain lions in the Santa Ana Mountains (SAM) that considers both demographic and genetic risk factors and (2) test the hypothesis that variation in abundance and mortality between the SAM and Santa Monica Mountains (SMM) result in differences in population growth, loss of heterozygosity, and extinction proba- bility. Our models predicted 16–21% probability of local extinction in the SAM due purely to demographic processes over 50 yr with current low levels or no immigration. Our models also predicted that genetic diversity will further erode in the SAM such that concern regarding inbreeding depression is warranted unless gene flow is increased, and that if inbreeding depres- sion occurs, rapid local extinction will be highly likely. Dynamics of the two populations were broadly similar, but they also exhibited differences driven by larger population size and higher mortality in the SAM. Density-independent scenarios predicted a rapidly increasing popula- tion in the SMM, whereas growth potential did not differ from a stable trend in the SAM. Demographic extinction probability and loss of heterozygosity were greater in the SMM for density-dependent scenarios without immigration. However, higher levels of immigration had stronger, positive influences on both demographic viability and retention of genetic diversity in the SMM driven by lower abundance and higher adult survival. Our results elucidate demo- graphic and genetic threats to small populations within the extinction vortex, and how these vary relative to demographic structure. Importantly, simulating seemingly attainable increases in connectivity was sufficient to greatly reduce extinction probability. Our work highlights that conservation of large carnivores is achievable within urbanized landscapes, but requires land protection, connectivity, and strategies to promote coexistence with humans. Key words: demographic stochasticity; extinction; heterozygosity; inbreeding; mortality; population viability analysis; Puma concolor; urbanization. inbreeding depression can all contribute to increased INTRODUCTION extinction probability (Mills and Smouse 1994, Beis- Demographic and genetic processes, and interactions singer et al. 2008). However, the relative influence of between them, influence probability of extinction for these processes in different wildlife populations remains small, isolated populations (Saccheri et al. 1998, difficult to predict and empirical demonstrations are O’Grady et al. 2006). Specifically, deterministic stres- rare (Palomares et al. 2012, Wootton and Pfister 2013). sors, demographic and environmental stochasticity, and The predicted decline to extinction of small populations from these interacting processes is referred to as the Manuscript received 15 June 2018; revised 30 October 2018; extinction vortex (Gilpin and Soule 1986). Modeling accepted 3 January 2019. Corresponding Editor: Aaron dynamics of small, isolated populations provides critical Wirsing. 8 E-mail: [email protected] information to local conservation efforts and also Article e01868; page 1 Ecological Applications Article e01868; page 2 JOHN F. BENSON ET AL. Vol. 29, No. 3 contributes to a more general understanding of the demographic processes, but ignored potential effects of forces influencing extinction. inbreeding depression. Furthermore, most of the demo- All populations with small numbers of breeding indi- graphic rates came from the literature rather than from viduals are likely to be destabilized by demographic empirical data collected within the SAM (Beier 1993). stochasticity (Lande 1993, Morris and Doak 2002) and Given the isolation and low genetic diversity docu- are also the most likely to suffer from inbreeding depres- mented for this population (Ernest et al. 2014, Gustaf- sion (Mills and Smouse 1994). However, variation in son et al. 2017), as well as additional fragmentation of local environmental conditions, and resulting differences the available habitat that has occurred (Burdett et al. in demographic structure, can influence population 2010), an updated PVA constructed with empirical growth, the rate at which genetic diversity is lost, and genetic and demographic data is needed for mountain extinction probability (Stacey and Taper 1992, Reed lions in the SAM to evaluate the influence of interac- 2005). Prior to the onset of inbreeding depression, some tions between genetics, demography, and landscape con- small populations continue to exhibit strong survival nectivity in this heavily human-dominated landscape. and reproduction (Benson et al. 2016a), while others The SMM and SAM are both occupied by small pop- suffer from poor demographic performance due to ongo- ulations of mountain lions in similar habitats isolated by ing deterministic stressors (Caughley 1994). Comparing anthropogenic barriers and exhibiting low levels of dynamics of isolated populations of the same species but genetic diversity (Ernest et al. 2014, Riley et al. 2014). of varying abundance, and with different vital rates and However, there are notable differences in demographic associated deterministic stressors, will increase our structure of the two populations that could have conse- understanding of demographic and genetic processes of quences for population dynamics and viability. First, the small populations. estimated number of breeding adults in the SAM was Mountain lions (Puma concolor) exist at low density, approximately twice that estimated for the SMMs (Beier have female-biased sex ratios, and often exhibit highly 1993, Ernest et al. 2014, Riley et al. 2014, Benson et al. skewed male reproductive success (Johnson et al. 2010, 2016a). Differences in abundance were clearly related to Riley et al. 2014). These traits reduce effective popula- the smaller patch of available habitat within the SMM tion size (Mills and Smouse 1994) and have made moun- relative to the SAM (Beier 1993, Benson et al. 2016a). tain lions important study species for investigating

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    16 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us