The distribution of a group of keystone species is not associated with anthropogenic habitat disturbance

Aim Red wood ants (Formica rufa group) mitigate invertebrate pest outbreaks, alter invertebrate communities, and contribute to nutrient cycling. The IUCN lists these insects as near threatened. We investigated whether disturbances of Red Wood Ant (RWA) forest habitats related to recreation, infrastr...

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Veröffentlicht in:Diversity & distributions 2021-04, Vol.27 (4), p.572-584
Hauptverfasser: Fitzpatrick, Benjamin R., Baltensweiler, Andri, Düggelin, Christoph, Fraefel, Marielle, Freitag, Anne, Vandegehuchte, Martijn L., Wermelinger, Beat, Risch, Anita C.
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container_issue 4
container_start_page 572
container_title Diversity & distributions
container_volume 27
creator Fitzpatrick, Benjamin R.
Baltensweiler, Andri
Düggelin, Christoph
Fraefel, Marielle
Freitag, Anne
Vandegehuchte, Martijn L.
Wermelinger, Beat
Risch, Anita C.
description Aim Red wood ants (Formica rufa group) mitigate invertebrate pest outbreaks, alter invertebrate communities, and contribute to nutrient cycling. The IUCN lists these insects as near threatened. We investigated whether disturbances of Red Wood Ant (RWA) forest habitats related to recreation, infrastructure, and forest management were associated with RWA occurrence. We also investigated the habitat associations of this group. Location Switzerland. Methods We trained random forest models to predict RWA occurrence using data from 6,341 plots distributed throughout Swiss forests. Our explanatory variables included descriptions of vegetation, terrain, climate and human disturbance of the forest. A model trained using all of these variables (Model 1) was compared to another trained using all of these variables except those describing human disturbance (Model 2). We compared the abilities of these models to differentiate between RWA presences and absences using areas under receiver operator curves (AUC). The nature of the associations between the probability of RWA occurrence predicted by Model 1 and the explanatory variables that made the greatest contributions to the AUC of this model were investigated using individual conditional expectation plots. Results No significant difference in AUC was detected between Models 1 and 2. RWA occurrence was positively associated with elevation, conifers, canopy gaps, ground cover vegetation and solar insolation while negatively associated with air temperature and a soil wetness index. Main conclusions The distribution of RWA within Swiss forests appeared unassociated with the human disturbances we investigated. To conserve RWA in Switzerland, we recommend the conservation of forests with high proportions of conifers, particularly those at high elevations. We also recommend forest management that promotes ground cover vegetation and open canopy structures. The negative associations between RWA occurrence and temperatures raise concerns for the prospects of RWA in the context of predicted climate warming.
doi_str_mv 10.1111/ddi.13217
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The IUCN lists these insects as near threatened. We investigated whether disturbances of Red Wood Ant (RWA) forest habitats related to recreation, infrastructure, and forest management were associated with RWA occurrence. We also investigated the habitat associations of this group. Location Switzerland. Methods We trained random forest models to predict RWA occurrence using data from 6,341 plots distributed throughout Swiss forests. Our explanatory variables included descriptions of vegetation, terrain, climate and human disturbance of the forest. A model trained using all of these variables (Model 1) was compared to another trained using all of these variables except those describing human disturbance (Model 2). We compared the abilities of these models to differentiate between RWA presences and absences using areas under receiver operator curves (AUC). The nature of the associations between the probability of RWA occurrence predicted by Model 1 and the explanatory variables that made the greatest contributions to the AUC of this model were investigated using individual conditional expectation plots. Results No significant difference in AUC was detected between Models 1 and 2. RWA occurrence was positively associated with elevation, conifers, canopy gaps, ground cover vegetation and solar insolation while negatively associated with air temperature and a soil wetness index. Main conclusions The distribution of RWA within Swiss forests appeared unassociated with the human disturbances we investigated. To conserve RWA in Switzerland, we recommend the conservation of forests with high proportions of conifers, particularly those at high elevations. We also recommend forest management that promotes ground cover vegetation and open canopy structures. The negative associations between RWA occurrence and temperatures raise concerns for the prospects of RWA in the context of predicted climate warming.</description><identifier>ISSN: 1366-9516</identifier><identifier>EISSN: 1472-4642</identifier><identifier>DOI: 10.1111/ddi.13217</identifier><language>eng</language><publisher>Oxford: Wiley</publisher><subject>Air temperature ; Anthropogenic factors ; Ants ; BIODIVERSITY RESEARCH ; Canopies ; Canopy gaps ; Climate ; Climate change ; Climate prediction ; Coniferous forests ; Conifers ; Disturbances ; Elevation ; Endangered &amp; extinct species ; Environmental protection ; Forest conservation ; Forest management ; forestry ; Formica rufa group ; Geographical distribution ; Global warming ; Ground cover ; habitat association ; habitat disturbance ; Habitats ; Human impact ; individual conditional expectation ; Insects ; Invertebrates ; Keystone species ; Nutrient cycles ; Pest outbreaks ; random forest ; Recreation ; Soil temperature ; spatial cross‐validation ; Sustainable forestry ; Vegetation ; wood ants</subject><ispartof>Diversity &amp; distributions, 2021-04, Vol.27 (4), p.572-584</ispartof><rights>2021 The Authors</rights><rights>2021 The Authors. published by John Wiley &amp; Sons Ltd.</rights><rights>COPYRIGHT 2021 John Wiley &amp; Sons, Inc.</rights><rights>2021. 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The IUCN lists these insects as near threatened. We investigated whether disturbances of Red Wood Ant (RWA) forest habitats related to recreation, infrastructure, and forest management were associated with RWA occurrence. We also investigated the habitat associations of this group. Location Switzerland. Methods We trained random forest models to predict RWA occurrence using data from 6,341 plots distributed throughout Swiss forests. Our explanatory variables included descriptions of vegetation, terrain, climate and human disturbance of the forest. A model trained using all of these variables (Model 1) was compared to another trained using all of these variables except those describing human disturbance (Model 2). We compared the abilities of these models to differentiate between RWA presences and absences using areas under receiver operator curves (AUC). The nature of the associations between the probability of RWA occurrence predicted by Model 1 and the explanatory variables that made the greatest contributions to the AUC of this model were investigated using individual conditional expectation plots. Results No significant difference in AUC was detected between Models 1 and 2. RWA occurrence was positively associated with elevation, conifers, canopy gaps, ground cover vegetation and solar insolation while negatively associated with air temperature and a soil wetness index. Main conclusions The distribution of RWA within Swiss forests appeared unassociated with the human disturbances we investigated. To conserve RWA in Switzerland, we recommend the conservation of forests with high proportions of conifers, particularly those at high elevations. We also recommend forest management that promotes ground cover vegetation and open canopy structures. 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distributions</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fitzpatrick, Benjamin R.</au><au>Baltensweiler, Andri</au><au>Düggelin, Christoph</au><au>Fraefel, Marielle</au><au>Freitag, Anne</au><au>Vandegehuchte, Martijn L.</au><au>Wermelinger, Beat</au><au>Risch, Anita C.</au><au>Andersen, Alan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The distribution of a group of keystone species is not associated with anthropogenic habitat disturbance</atitle><jtitle>Diversity &amp; distributions</jtitle><date>2021-04</date><risdate>2021</risdate><volume>27</volume><issue>4</issue><spage>572</spage><epage>584</epage><pages>572-584</pages><issn>1366-9516</issn><eissn>1472-4642</eissn><abstract>Aim Red wood ants (Formica rufa group) mitigate invertebrate pest outbreaks, alter invertebrate communities, and contribute to nutrient cycling. The IUCN lists these insects as near threatened. We investigated whether disturbances of Red Wood Ant (RWA) forest habitats related to recreation, infrastructure, and forest management were associated with RWA occurrence. We also investigated the habitat associations of this group. Location Switzerland. Methods We trained random forest models to predict RWA occurrence using data from 6,341 plots distributed throughout Swiss forests. Our explanatory variables included descriptions of vegetation, terrain, climate and human disturbance of the forest. A model trained using all of these variables (Model 1) was compared to another trained using all of these variables except those describing human disturbance (Model 2). We compared the abilities of these models to differentiate between RWA presences and absences using areas under receiver operator curves (AUC). The nature of the associations between the probability of RWA occurrence predicted by Model 1 and the explanatory variables that made the greatest contributions to the AUC of this model were investigated using individual conditional expectation plots. Results No significant difference in AUC was detected between Models 1 and 2. RWA occurrence was positively associated with elevation, conifers, canopy gaps, ground cover vegetation and solar insolation while negatively associated with air temperature and a soil wetness index. Main conclusions The distribution of RWA within Swiss forests appeared unassociated with the human disturbances we investigated. To conserve RWA in Switzerland, we recommend the conservation of forests with high proportions of conifers, particularly those at high elevations. We also recommend forest management that promotes ground cover vegetation and open canopy structures. The negative associations between RWA occurrence and temperatures raise concerns for the prospects of RWA in the context of predicted climate warming.</abstract><cop>Oxford</cop><pub>Wiley</pub><doi>10.1111/ddi.13217</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-0531-8336</orcidid><orcidid>https://orcid.org/0000-0003-1283-4654</orcidid><orcidid>https://orcid.org/0000-0003-1916-0939</orcidid><orcidid>https://orcid.org/0000-0003-0992-6320</orcidid><orcidid>https://orcid.org/0000-0002-9057-4475</orcidid><orcidid>https://orcid.org/0000-0003-3235-6741</orcidid><orcidid>https://orcid.org/0000-0003-1933-6535</orcidid><oa>free_for_read</oa></addata></record>
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subjects Air temperature
Anthropogenic factors
Ants
BIODIVERSITY RESEARCH
Canopies
Canopy gaps
Climate
Climate change
Climate prediction
Coniferous forests
Conifers
Disturbances
Elevation
Endangered & extinct species
Environmental protection
Forest conservation
Forest management
forestry
Formica rufa group
Geographical distribution
Global warming
Ground cover
habitat association
habitat disturbance
Habitats
Human impact
individual conditional expectation
Insects
Invertebrates
Keystone species
Nutrient cycles
Pest outbreaks
random forest
Recreation
Soil temperature
spatial cross‐validation
Sustainable forestry
Vegetation
wood ants
title The distribution of a group of keystone species is not associated with anthropogenic habitat disturbance
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