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      Weather and landscape factors affect white-tailed deer neonate survival at ecologically important life stages in the Northern Great Plains

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          Abstract

          Offspring survival is generally more variable than adult survival and may limit population growth. Although white-tailed deer neonate survival has been intensively investigated, recent work has emphasized how specific cover types influence neonate survival at local scales (single study area). These localized investigations have often led to inconsistences within the literature. Developing specific hypotheses describing the relationships among environmental, habitat, and landscape factors influencing white-tailed deer neonate survival at regional scales may allow for detection of generalized patterns. Therefore, we developed 11 hypotheses representing the various effects of environmental (e.g., winter and spring weather), habitat (e.g., hiding and escape cover types), and landscape factors (e.g., landscape configuration regardless of specific cover type available) on white-tailed deer neonate survival up to one-month and from one- to three-months of age. At one-month, surviving fawns experienced a warmer lowest recorded June temperature and more June precipitation than those that perished. At three-months, patch connectance (percent of patches of the corresponding patch type that are connected within a predefined distance) positively influenced survival. Our results are consistent with white-tailed deer neonate ecology: increased spring temperature and precipitation are likely associated with a flush of nutritional resources available to the mother, promoting increased lactation efficiency and neonate growth early in life. In contrast, reduced spring temperature with increased precipitation place neonates at risk to hypothermia. Increased patch connectance likely reflects increased escape cover available within a neonate’s home range after they are able to flee from predators. If suitable escape cover is available on the landscape, then managers could focus efforts towards manipulating landscape configuration (patch connectance) to promote increased neonate survival while monitoring spring weather to assess potential influences on current year survival.

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          Most cited references51

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          Uninformative Parameters and Model Selection Using Akaike's Information Criterion

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            Early onset of vegetation growth vs. rapid green-up: impacts on juvenile mountain ungulates.

            Seasonal patterns of climate and vegetation growth are expected to be altered by global warming. In alpine environments, the reproduction of birds and mammals is tightly linked to seasonality; therefore such alterations may have strong repercussions on recruitment. We used the normalized difference vegetation index (NDVI), a satellite-based measurement that correlates strongly with aboveground net primary productivity, to explore how annual variations in the timing of vegetation onset and in the rate of change in primary production during green-up affected juvenile growth and survival of bighorn sheep (Ovis canadensis), Alpine ibex (Capra ibex), and mountain goats (Oreamnos americanus) in four different populations in two continents. We indexed timing of onset of vegetation growth by the integrated NDVI (INDVI) in May. The rate of change in primary production during green-up (early May to early July) was estimated as (1) the maximal slope between any two successive bimonthly NDVI values during this period and (2) the slope in NDVI between early May and early July. The maximal slope in NDVI was negatively correlated with lamb growth and survival in both populations of bighorn sheep, growth of mountain goat kids, and survival of Alpine ibex kids, but not with survival of mountain goat kids. There was no effect of INDVI in May and of the slope in NDVI between early May and early July on juvenile growth and survival for any species. Although rapid changes in NDVI during the green-up period could translate into higher plant productivity, they may also lead to a shorter period of availability of high-quality forage over a large spatial scale, decreasing the opportunity for mountain ungulates to exploit high-quality forage. Our results suggest that attempts to forecast how warmer winters and springs will affect animal population dynamics and life histories in alpine environments should consider factors influencing the rate of changes in primary production during green-up and the timing of vegetation onset.
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              Climate and population density induce long-term cohort variation in a northern ungulate

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                5 April 2018
                2018
                : 13
                : 4
                : e0195247
                Affiliations
                [1 ] Department of Natural Resource Management, South Dakota State University, Brookings, South Dakota, United States of America
                [2 ] U.S. Geological Survey, Iowa Cooperative Fish and Wildlife Research Unit, Iowa State University, Ames, Iowa, United States of America
                [3 ] North Dakota Game and Fish Department, Bismarck, North Dakota, United States of America
                Université de Sherbrooke, CANADA
                Author notes

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

                Author information
                http://orcid.org/0000-0001-9571-5292
                Article
                PONE-D-17-14509
                10.1371/journal.pone.0195247
                5886454
                29621287
                3698159b-7663-4937-84d4-4e9d3dd962b0

                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
                : 13 April 2017
                : 19 March 2018
                Page count
                Figures: 4, Tables: 6, Pages: 17
                Funding
                Funded by: Federal Aid to Wildlife Restoration
                Award ID: W-67-R-57
                Award Recipient :
                Funded by: Federal Aid to Wildlife Restoration
                Award ID: W-67-R57
                Award Recipient :
                This project was funded by Federal Aid to Wildlife Restoration administered through North Dakota Game and Fish Department (Project W-67-R-57, Study No. C-VIII to WFJ and W-67-R57 to JAJ). 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
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
                Ruminants
                Deer
                Earth Sciences
                Seasons
                Winter
                Earth Sciences
                Seasons
                Spring (Season)
                Biology and Life Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Grasslands
                Ecology and Environmental Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Grasslands
                Biology and Life Sciences
                Plant Science
                Plant Ecology
                Plant Communities
                Grasslands
                Ecology and Environmental Sciences
                Terrestrial Environments
                Grasslands
                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
                Biology and Life Sciences
                Developmental Biology
                Neonates
                Earth Sciences
                Atmospheric Science
                Meteorology
                Rain
                Ecology and Environmental Sciences
                Habitats
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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                Uncategorized

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