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      Freezing in a warming climate: Marked declines of a subnivean hibernator after a snow drought

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          Abstract

          Recent snow droughts associated with unusually warm winters are predicted to increase in frequency and affect species dependent upon snowpack for winter survival. Changes in populations of some cold‐adapted species have been attributed to heat stress or indirect effects on habitat from unusually warm summers, but little is known about the importance of winter weather to population dynamics and how responses to snow drought vary among sympatric species. We evaluated changes in abundance of hoary marmots ( Marmota caligata) over a period that included a year of record‐low snowpack to identify mechanisms associated with weather and snowpack. To consider interspecies comparisons, our analysis used the same a priori model set as a concurrent study that evaluated responses of American pikas ( Ochotona princeps) to weather and snowpack in the same study area of North Cascades National Park, Washington, USA. We hypothesized that marmot abundance reflected mechanisms related to heat stress, cold stress, cold exposure without an insulating snowpack, snowpack duration, atmospheric moisture, growing‐season precipitation, or select combinations of these mechanisms. Changes in marmot abundances included a 74% decline from 2007 to 2016 and were best explained by an interaction of chronic dryness with exposure to acute cold without snowpack in winter. Physiological stress during hibernation from exposure to cold, dry air appeared to be the most likely mechanism of change in marmot abundance. Alternative mechanisms associated with changes to winter weather, including early emergence from hibernation or altered vegetation dynamics, had less support. A post hoc assessment of vegetative phenology and productivity did not support vegetation dynamics as a primary driver of marmot abundance across years. Although marmot and pika abundances were explained by strikingly similar models over periods of many years, details of the mechanisms involved likely differ between species because pika abundances increased in areas where marmots declined. Such differences may lead to diverging geographic distributions of these species as global change continues.

          Abstract

          Recent snow droughts associated with unusually warm winters are predicted to increase in frequency and affect species dependent upon snowpack for winter survival. We evaluated changes in abundance of hoary marmots ( Marmota caligata) over a period that included a year of record‐low snowpack, to identify mechanisms associated with weather and snowpack. Physiological stress during hibernation from exposure to cold, dry air appeared to be the most likely mechanism of change because alternative mechanisms associated with early emergence from hibernation or altered vegetation dynamics had less support.

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          glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling

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            Potential impacts of a warming climate on water availability in snow-dominated regions.

            All currently available climate models predict a near-surface warming trend under the influence of rising levels of greenhouse gases in the atmosphere. In addition to the direct effects on climate--for example, on the frequency of heatwaves--this increase in surface temperatures has important consequences for the hydrological cycle, particularly in regions where water supply is currently dominated by melting snow or ice. In a warmer world, less winter precipitation falls as snow and the melting of winter snow occurs earlier in spring. Even without any changes in precipitation intensity, both of these effects lead to a shift in peak river runoff to winter and early spring, away from summer and autumn when demand is highest. Where storage capacities are not sufficient, much of the winter runoff will immediately be lost to the oceans. With more than one-sixth of the Earth's population relying on glaciers and seasonal snow packs for their water supply, the consequences of these hydrological changes for future water availability--predicted with high confidence and already diagnosed in some regions--are likely to be severe.
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              Predicting species distribution: offering more than simple habitat models

              In the last two decades, interest in species distribution models (SDMs) of plants and animals has grown dramatically. Recent advances in SDMs allow us to potentially forecast anthropogenic effects on patterns of biodiversity at different spatial scales. However, some limitations still preclude the use of SDMs in many theoretical and practical applications. Here, we provide an overview of recent advances in this field, discuss the ecological principles and assumptions underpinning SDMs, and highlight critical limitations and decisions inherent in the construction and evaluation of SDMs. Particular emphasis is given to the use of SDMs for the assessment of climate change impacts and conservation management issues. We suggest new avenues for incorporating species migration, population dynamics, biotic interactions and community ecology into SDMs at multiple spatial scales. Addressing all these issues requires a better integration of SDMs with ecological theory.
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                Author and article information

                Contributors
                ajohnston@usgs.gov
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                29 December 2020
                February 2021
                : 11
                : 3 ( doiID: 10.1002/ece3.v11.3 )
                : 1264-1279
                Affiliations
                [ 1 ] U. S. Geological Survey Northern Rocky Mountain Science Center Bozeman MT USA
                [ 2 ] School of Environmental and Forest Sciences University of Washington Seattle WA USA
                [ 3 ] National Park Service Sedro Woolley WA USA
                [ 4 ] Department of Ecology Montana State University Bozeman MT USA
                Author notes
                [*] [* ] Correspondence

                Aaron N. Johnston, U. S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Suite 2, Bozeman, MT 59715, USA.

                Email: ajohnston@ 123456usgs.gov

                Author information
                https://orcid.org/0000-0003-4659-0504
                https://orcid.org/0000-0002-9369-486X
                Article
                ECE37126
                10.1002/ece3.7126
                7863385
                33598129
                36efa752-bda4-46c0-81fa-964068757ea8
                Published 2020. This article is a U.S. Government work and is in the public domain in the USA. Ecology and Evolution published by John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 May 2020
                : 20 October 2020
                : 23 October 2020
                Page count
                Figures: 5, Tables: 4, Pages: 16, Words: 12773
                Funding
                Funded by: Seattle City Light Wildlife Research Program
                Funded by: U.S. Geological Survey , open-funder-registry 10.13039/100000203;
                Funded by: National Park Service , open-funder-registry 10.13039/100007516;
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                February 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.7 mode:remove_FC converted:05.02.2021

                Evolutionary Biology
                american pika,hoary marmot,marmota caligata,ochotona princeps,snow drought,vapor pressure deficit

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