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      Spatio-Temporal Variation in Age Structure and Abundance of the Endangered Snail Kite: Pooling across Regions Masks a Declining and Aging Population

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          Abstract

          While variation in age structure over time and space has long been considered important for population dynamics and conservation, reliable estimates of such spatio-temporal variation in age structure have been elusive for wild vertebrate populations. This limitation has arisen because of problems of imperfect detection, the potential for temporary emigration impacting assessments of age structure, and limited information on age. However, identifying patterns in age structure is important for making reliable predictions of both short- and long-term dynamics of populations of conservation concern. Using a multistate superpopulation estimator, we estimated region-specific abundance and age structure (the proportion of individuals within each age class) of a highly endangered population of snail kites for two separate regions in Florida over 17 years (1997–2013). We find that in the southern region of the snail kite—a region known to be critical for the long-term persistence of the species—the population has declined significantly since 1997, and during this time, it has increasingly become dominated by older snail kites (> 12 years old). In contrast, in the northern region—a region historically thought to serve primarily as drought refugia—the population has increased significantly since 2007 and age structure is more evenly distributed among age classes. Given that snail kites show senescence at approximately 13 years of age, where individuals suffer higher mortality rates and lower breeding rates, these results reveal an alarming trend for the southern region. Our work illustrates the importance of accounting for spatial structure when assessing changes in abundance and age distribution and the need for monitoring of age structure in imperiled species.

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          Most cited references15

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          On the use of matrices in certain population mathematics.

          P. LESLIE (1945)
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            Transients: the key to long-term ecological understanding?

            Ecological theory has been dominated by a focus on long-term or asymptotic behavior as a way to understand natural systems. Yet experiments are done on much shorter timescales, and the relevant timescales for ecological systems can also be relatively short. Thus, there is a mismatch between the timescales of most experiments and the timescales of many theoretical investigations. However, recent work has emphasized the importance of transient dynamics rather than long-term behavior in ecological systems, enabling the examination of forces that allow coexistence on ecological timescales. Through an examination of what leads to transients in ecological systems, a deeper appreciation of the forces leading to persistence or coexistence in ecological systems emerges, as well as a general understanding of how population levels can change through time.
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              The use and abuse of population viability analysis.

              A recent study by Brook et al. empirically tested the performance of population viability analysis (PVA) using data from 21 populations across a wide range of species. The study concluded that PVAs are good at predicting the future dynamics of populations. We suggest that this conclusion is a result of a bias in the studies that Brook et al. included in their analyses. We present arguments that PVAs can only be accurate at predicting extinction probabilities if data are extensive and reliable, and if the distribution of vital rates between individuals and years can be assumed stationary in the future, or if any changes can be accurately predicted. In particular, we note that although catastrophes are likely to have precipitated many extinctions, estimates of the probability of catastrophes are unreliable.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                28 September 2016
                2016
                : 11
                : 9
                : e0162690
                Affiliations
                [1 ]Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, United States of America
                [2 ]U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO, United States of America
                University of Arkansas Fayetteville, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: BER RJF.

                • Data curation: BER.

                • Formal analysis: BER.

                • Funding acquisition: RJF WMK.

                • Investigation: BER WMK.

                • Methodology: BER WLK.

                • Project administration: BER RJF WMK.

                • Resources: RJF WMK.

                • Supervision: BER RJF WMK.

                • Validation: BER.

                • Visualization: BER.

                • Writing – original draft: BER.

                • Writing – review & editing: BER WLK RJF WMK.

                Author information
                http://orcid.org/0000-0002-9640-0695
                Article
                PONE-D-16-10909
                10.1371/journal.pone.0162690
                5040393
                27681854
                bcaa567c-9ebf-4a40-82e1-65121eff5598

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 15 March 2016
                : 27 August 2016
                Page count
                Figures: 5, Tables: 1, Pages: 18
                Funding
                Funded by: U.S. Army Corps of Engineers (US)
                Award Recipient :
                Funded by: U.S. Geological Survey, Greater Everglades Priority Ecosystems Science (GEPES) program
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000202, U.S. Fish and Wildlife Service;
                Award Recipient :
                Funded by: St. John's River Water Management District
                Award Recipient :
                Financial support was provided by the US Army Corps of Engineers—project #W912HZ-15-2-0010 ( http://www.saj.usace.army.mil/), US Fish and Wildlife Service—project #401819G578 ( http://www.fws.gov/verobeach/), St Johns River Water Management District—project #27814 ( http://floridaswater.com/), and US Geological Survey—project #G15AC00229 ( http://www.usgs.gov/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Molluscs
                Gastropods
                Snails
                Ecology and Environmental Sciences
                Aquatic Environments
                Freshwater Environments
                Wetlands
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Freshwater Environments
                Wetlands
                Earth Sciences
                Geomorphology
                Topography
                Landforms
                Wetlands
                People and places
                Geographical locations
                North America
                United States
                Florida
                People and Places
                Demography
                Age Distribution
                Biology and Life Sciences
                Behavior
                Animal Behavior
                Animal Sexual Behavior
                Biology and Life Sciences
                Zoology
                Animal Behavior
                Animal Sexual Behavior
                Ecology and Environmental Sciences
                Habitats
                Ecology and Environmental Sciences
                Conservation Science
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Birds
                Custom metadata
                Snail kites are a listed federally endangered species, the specific location data are sensitive and have not been made available. However, the general data for these analyses are available at Dryad ( http://datadryad.org/; doi: 10.5061/dryad.fg007).

                Uncategorized
                Uncategorized

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