19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Close encounters of the fatal kind: Landscape features associated with central mountain caribou mortalities

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In western Canada, anthropogenic disturbances resulting from resource extraction activities are associated with habitat loss and altered predator–prey dynamics. These habitat changes are linked to increased predation risk and unsustainable mortality rates for caribou ( Rangifer tarandus caribou). To inform effective habitat restoration, our goal was to examine whether specific linear disturbance features were associated with caribou predation in central mountain caribou ranges. We used predation‐caused caribou mortalities and caribou GPS‐collar data collected between 2008 and 2015 to assess caribou predation risk within and outside of protected areas at four spatio‐temporal scales: habitat use during the (a) 30 days, (b) 7 days, and (c) 24 hours prior to caribou being killed, and (d) characteristics at caribou kill site locations. Outside of protected areas, predation risk increased closer to pipelines, seismic lines, and streams. Within protected areas, predation risk increased closer to alpine habitat. Factors predicting predation risk differed among spatio‐temporal scales and linear feature types: predation risk increased closer to pipelines during the 30 and 7 days prior to caribou being killed and closer to seismic lines during the 30 days, 7 days, and 24 hours prior, but decreased closer to roads during the 30 days prior to being killed. By assessing habitat use prior to caribou being killed, we identified caribou predation risk factors that would not have been detected by analysis of kill site locations alone. These results provide further evidence that restoration of anthropogenic linear disturbance features should be an immediate priority for caribou recovery in central mountain caribou ranges.

          Abstract

          Anthropogenic disturbances associated with resource extraction activities are linked to increased predation risk and unsustainable mortality rates for woodland caribou, but few studies have directly assessed the relationships between specific anthropogenic disturbances and predation‐caused caribou mortalities. We assessed the influence of habitat, terrain, and anthropogenic linear disturbance features on caribou predation risk, including data from caribou mortality sites and caribou habitat use prior to being killed by predators. We found that predation risk increased closer to pipelines, seismic lines, and streams. Within protected areas, predation risk increased closer to alpine habitat. Factors predicting predation risk differed among spatio‐temporal scales and between linear feature types.

          Related collections

          Most cited references102

          • Record: found
          • Abstract: found
          • Article: not found

          Assessing the performance of prediction models: a framework for traditional and novel measures.

          The performance of prediction models can be assessed using a variety of methods and metrics. Traditional measures for binary and survival outcomes include the Brier score to indicate overall model performance, the concordance (or c) statistic for discriminative ability (or area under the receiver operating characteristic [ROC] curve), and goodness-of-fit statistics for calibration.Several new measures have recently been proposed that can be seen as refinements of discrimination measures, including variants of the c statistic for survival, reclassification tables, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Moreover, decision-analytic measures have been proposed, including decision curves to plot the net benefit achieved by making decisions based on model predictions.We aimed to define the role of these relatively novel approaches in the evaluation of the performance of prediction models. For illustration, we present a case study of predicting the presence of residual tumor versus benign tissue in patients with testicular cancer (n = 544 for model development, n = 273 for external validation).We suggest that reporting discrimination and calibration will always be important for a prediction model. Decision-analytic measures should be reported if the predictive model is to be used for clinical decisions. Other measures of performance may be warranted in specific applications, such as reclassification metrics to gain insight into the value of adding a novel predictor to an established model.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Measuring the accuracy of diagnostic systems

            J Swets (1988)
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Uninformative Parameters and Model Selection Using Akaike's Information Criterion

                Bookmark

                Author and article information

                Contributors
                tmckay@friresearch.ca
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                04 February 2021
                March 2021
                : 11
                : 5 ( doiID: 10.1002/ece3.v11.5 )
                : 2234-2248
                Affiliations
                [ 1 ] fRI Research Caribou Program Hinton AB Canada
                [ 2 ] University of Northern British Columbia Prince George BC Canada
                [ 3 ] Yellowstone to Yukon Conservation Initiative Canmore AB Canada
                [ 4 ] fRI Research Grizzly Bear Program Hinton AB Canada
                Author notes
                [*] [* ] Correspondence

                Tracy L. McKay, fRI Research Caribou Program, 1176 Switzer Drive, Hinton, AB T7V 1V3, Canada.

                Email: tmckay@ 123456friresearch.ca

                Author information
                https://orcid.org/0000-0002-6728-797X
                https://orcid.org/0000-0002-7409-5511
                https://orcid.org/0000-0002-6890-3594
                https://orcid.org/0000-0002-4797-6284
                Article
                ECE37190
                10.1002/ece3.7190
                7920782
                33717451
                ed57a86d-49e9-41cf-a2af-2101fc698ea9
                © 2021 The Authors. 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
                : 03 October 2019
                : 14 October 2020
                : 23 December 2020
                Page count
                Figures: 2, Tables: 5, Pages: 15, Words: 12077
                Funding
                Funded by: Partners of the fRI Research Caribou Program
                Funded by: Weyerhaeuser Canada
                Funded by: Safari Club International Foundation, Drayton Valley Chapter
                Funded by: Canadian Association of Petroleum Producers , open-funder-registry 10.13039/100013958;
                Award ID: 15‐ERPC‐08
                Award ID: 16‐ERPC‐05
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                March 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.9 mode:remove_FC converted:01.03.2021

                Evolutionary Biology
                caribou,caribou habitat restoration,linear disturbance features,pipelines,predation risk,seismic lines

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content234

                Cited by9

                Most referenced authors1,361