Searching the right tie—Expert-based vs. statistical niche modeling for habitat management at the alpine treeline ecotone.

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Title: Searching the right tie—Expert-based vs. statistical niche modeling for habitat management at the alpine treeline ecotone.
Authors: Sachser, Frederik1, Nopp-Mayr, Ursula1 ursula.nopp-mayr@boku.ac.at, Zohmann, Margit1, Schweiger, Anna-Katharina2, Grünschachner-Berger, Veronika3, Immitzer, Markus4
Source: Ecological Engineering. Mar2017, Vol. 100, p107-119. 13p.
Subjects: Timberline, Black grouse, Management information systems, Conservationists, Parsimonious models
Abstract: Understanding of wildlife-habitat relationships is a fundamental issue in conservation ecology allowing for the formulation of specific management demands. As habitats of various species are shifting and contracting in the course of global change, ecological niche models (ENMs) have to provide more than distributional maps. Rather, applicability of models for practitioners, conservationists and land managers should be prioritized, providing guidelines for management decisions. We developed correlative ENMs ( cENM s, logistic regression) for alpine Black grouse ( Tetrao tetrix L.) for five different study areas in Austria. We further propose one expert-based ENM ( xENM ) and a new hybrid approach ( xcENM ). We validated the models with independent test data sets and compared them in terms of discriminatory power, calibration, and parsimony. The xcENM reached an intermediate position between cENM s and xENM in terms of accuracy and calibration power. The cENM for the entire data pool had the best performance of all approaches in terms of accuracy, but showed a weaker transferability and a lower parsimony than the xENM. All models highlighted the importance of well-structured habitats for Black grouse, providing resources for feeding, resting, and rearing chicks. We further show the importance of habitat patches without anthropogenic disturbances for habitat suitability and provide recommendations for habitat management and habitat creation. [ABSTRACT FROM AUTHOR]
Copyright of Ecological Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 120952143
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  Label: Title
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  Data: Searching the right tie—Expert-based vs. statistical niche modeling for habitat management at the alpine treeline ecotone.
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  Data: <searchLink fieldCode="AR" term="%22Sachser%2C+Frederik%22">Sachser, Frederik</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Nopp-Mayr%2C+Ursula%22">Nopp-Mayr, Ursula</searchLink><relatesTo>1</relatesTo><i> ursula.nopp-mayr@boku.ac.at</i><br /><searchLink fieldCode="AR" term="%22Zohmann%2C+Margit%22">Zohmann, Margit</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Schweiger%2C+Anna-Katharina%22">Schweiger, Anna-Katharina</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Grünschachner-Berger%2C+Veronika%22">Grünschachner-Berger, Veronika</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Immitzer%2C+Markus%22">Immitzer, Markus</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Ecological+Engineering%22">Ecological Engineering</searchLink>. Mar2017, Vol. 100, p107-119. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Timberline%22">Timberline</searchLink><br /><searchLink fieldCode="DE" term="%22Black+grouse%22">Black grouse</searchLink><br /><searchLink fieldCode="DE" term="%22Management+information+systems%22">Management information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Conservationists%22">Conservationists</searchLink><br /><searchLink fieldCode="DE" term="%22Parsimonious+models%22">Parsimonious models</searchLink>
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  Label: Abstract
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  Data: Understanding of wildlife-habitat relationships is a fundamental issue in conservation ecology allowing for the formulation of specific management demands. As habitats of various species are shifting and contracting in the course of global change, ecological niche models (ENMs) have to provide more than distributional maps. Rather, applicability of models for practitioners, conservationists and land managers should be prioritized, providing guidelines for management decisions. We developed correlative ENMs ( cENM s, logistic regression) for alpine Black grouse ( Tetrao tetrix L.) for five different study areas in Austria. We further propose one expert-based ENM ( xENM ) and a new hybrid approach ( xcENM ). We validated the models with independent test data sets and compared them in terms of discriminatory power, calibration, and parsimony. The xcENM reached an intermediate position between cENM s and xENM in terms of accuracy and calibration power. The cENM for the entire data pool had the best performance of all approaches in terms of accuracy, but showed a weaker transferability and a lower parsimony than the xENM. All models highlighted the importance of well-structured habitats for Black grouse, providing resources for feeding, resting, and rearing chicks. We further show the importance of habitat patches without anthropogenic disturbances for habitat suitability and provide recommendations for habitat management and habitat creation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Ecological Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.ecoleng.2016.12.009
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 107
    Subjects:
      – SubjectFull: Timberline
        Type: general
      – SubjectFull: Black grouse
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      – SubjectFull: Management information systems
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      – SubjectFull: Conservationists
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      – SubjectFull: Parsimonious models
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      – TitleFull: Searching the right tie—Expert-based vs. statistical niche modeling for habitat management at the alpine treeline ecotone.
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            NameFull: Sachser, Frederik
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            NameFull: Grünschachner-Berger, Veronika
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              Text: Mar2017
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