Using qualitative methods to support recovery of endangered species: The case of red-cockaded woodpecker foraging habitat
Abstract
Meta-analyses are powerful tools for synthesizing wildlife-habitat relationships, but small sample sizes and complex species-habitat relationships often preclude correlative metaanalyses on endangered species. In this study, we demonstrate qualitative comparative analysis (QCA) as a tool that can reliably synthesize habitat-fitness relationships from small sample sizes for species with narrow habitat requirements.We apply QCA to results from a habitat threshold regression tree model and identify habitat thresholds with consistent positive effects on fitness of the federally endangered red-cockaded woodpecker (Dryobates borealis; RCW) on the Savannah River Site, USA. We reformulated regression tree results in a QCA framework to examine the consistency of threshold effects on RCW fledgling production at the individual group level (n = 47). Synthesizing regression tree results with QCA revealed alternative combinations of habitat thresholds that in conjunction with group size consistently led to above-average fledgling production for 41 of 47 (88%) individual RCW groups. Importantly, QCA identified unique combinations of habitat thresholds and group size related to above-average fledgling production that were not retained in the regression tree model due to small sample sizes. Synthesizing a small habitat-fitness dataset using QCA provided a tractable method to identify unique combinations of habitat and group size conditions that aremore »
- Authors:
- Publication Date:
- Research Org.:
- USDA Forest Service-Savannah River, New Ellenton, SC (United States)
- Sponsoring Org.:
- USDOE Office of Environmental Management (EM), Acquisition and Project Management
- Contributing Org.:
- USDA Forest Service-Savannah River, New Ellenton, SC
- OSTI Identifier:
- 1531030
- Alternate Identifier(s):
- OSTI ID: 1512088
- Report Number(s):
- 19-02-P
Journal ID: ISSN 2351-9894; S2351989419300101; e00553; PII: S2351989419300101
- Grant/Contract Number:
- AI09-00SR22188; SRS 10-CS-11083601-003; EM0003622
- Resource Type:
- Published Article
- Journal Name:
- Global Ecology and Conservation
- Additional Journal Information:
- Journal Name: Global Ecology and Conservation Journal Volume: 17 Journal Issue: C; Journal ID: ISSN 2351-9894
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES; Endangered species; Habitat threshold; Pine forest; Meta-analysis; Population fitness; Recovery plan
Citation Formats
Garabedian, James E., Peterson, M. Nils, Moorman, Christopher E., and Kilgo, John C. Using qualitative methods to support recovery of endangered species: The case of red-cockaded woodpecker foraging habitat. Netherlands: N. p., 2019.
Web. doi:10.1016/j.gecco.2019.e00553.
Garabedian, James E., Peterson, M. Nils, Moorman, Christopher E., & Kilgo, John C. Using qualitative methods to support recovery of endangered species: The case of red-cockaded woodpecker foraging habitat. Netherlands. https://doi.org/10.1016/j.gecco.2019.e00553
Garabedian, James E., Peterson, M. Nils, Moorman, Christopher E., and Kilgo, John C. Tue .
"Using qualitative methods to support recovery of endangered species: The case of red-cockaded woodpecker foraging habitat". Netherlands. https://doi.org/10.1016/j.gecco.2019.e00553.
@article{osti_1531030,
title = {Using qualitative methods to support recovery of endangered species: The case of red-cockaded woodpecker foraging habitat},
author = {Garabedian, James E. and Peterson, M. Nils and Moorman, Christopher E. and Kilgo, John C.},
abstractNote = {Meta-analyses are powerful tools for synthesizing wildlife-habitat relationships, but small sample sizes and complex species-habitat relationships often preclude correlative metaanalyses on endangered species. In this study, we demonstrate qualitative comparative analysis (QCA) as a tool that can reliably synthesize habitat-fitness relationships from small sample sizes for species with narrow habitat requirements.We apply QCA to results from a habitat threshold regression tree model and identify habitat thresholds with consistent positive effects on fitness of the federally endangered red-cockaded woodpecker (Dryobates borealis; RCW) on the Savannah River Site, USA. We reformulated regression tree results in a QCA framework to examine the consistency of threshold effects on RCW fledgling production at the individual group level (n = 47). Synthesizing regression tree results with QCA revealed alternative combinations of habitat thresholds that in conjunction with group size consistently led to above-average fledgling production for 41 of 47 (88%) individual RCW groups. Importantly, QCA identified unique combinations of habitat thresholds and group size related to above-average fledgling production that were not retained in the regression tree model due to small sample sizes. Synthesizing a small habitat-fitness dataset using QCA provided a tractable method to identify unique combinations of habitat and group size conditions that are consistently important to individual fitness, but may not be detected by meta-analyses that can be biased by small sample sizes. QCA offers a viable approach for synthesis of habitat-fitness relationships and can be extended to address many complex issues in endangered species recovery when correlative meta-analyses are not possible.},
doi = {10.1016/j.gecco.2019.e00553},
journal = {Global Ecology and Conservation},
number = C,
volume = 17,
place = {Netherlands},
year = {Tue Jan 01 00:00:00 EST 2019},
month = {Tue Jan 01 00:00:00 EST 2019}
}
https://doi.org/10.1016/j.gecco.2019.e00553
Web of Science
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