Numerical Responses of Saproxylic Beetles to Rapid Increases in Dead Wood Availability following Geometrid Moth Outbreaks in Sub-Arctic Mountain Birch Forest
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{"title"=>"Numerical responses of saproxylic beetles to rapid increases in dead wood availability following geometrid moth outbreaks in sub-arctic mountain birch forest", "type"=>"journal", "authors"=>[{"first_name"=>"Ole Petter Laksforsmo", "last_name"=>"Vindstad", "scopus_author_id"=>"36237835800"}, {"first_name"=>"Sabrina", "last_name"=>"Schultze", "scopus_author_id"=>"56208856400"}, {"first_name"=>"Jane Uhd", "last_name"=>"Jepsen", "scopus_author_id"=>"7004975079"}, {"first_name"=>"Martin", "last_name"=>"Biuw", "scopus_author_id"=>"23476768500"}, {"first_name"=>"Lauri", "last_name"=>"Kapari", "scopus_author_id"=>"7801517575"}, {"first_name"=>"Anne", "last_name"=>"Sverdrup-Thygeson", "scopus_author_id"=>"6602596964"}, {"first_name"=>"Rolf Anker", "last_name"=>"Ims", "scopus_author_id"=>"7006373946"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84902602814", "sgr"=>"84902602814", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0099624", "pmid"=>"24911056", "pui"=>"373337942"}, "id"=>"4ccd20d4-0f92-3b3a-b5e1-6adf4d884b12", "abstract"=>"Saproxylic insects play an important part in decomposing dead wood in healthy forest ecosystems, but little is known about their role in the aftermath of large-scale forest mortality caused by pest insect outbreaks. We used window traps to study short-term changes in the abundance and community structure of saproxylic beetles following extensive mortality of mountain birch in sub-arctic northern Norway caused by an outbreak of geometrid moths. Three to five years after the outbreak, the proportion of obligate saproxylic individuals in the beetle community was roughly 10% higher in forest damaged by the outbreak than in undamaged forest. This was mainly due to two early-successional saproxylic beetle species. Facultative saproxylic beetles showed no consistent differences between damaged and undamaged forest. These findings would suggest a weak numerical response of the saproxylic beetle community to the dead wood left by the outbreak. We suggest that species-specific preferences for certain wood decay stages may limit the number of saproxylic species that respond numerically to an outbreak at a particular time, and that increases in responding species may be constrained by limitations to the amount of dead wood that can be exploited within a given timeframe (i.e. satiation effects). Low diversity of beetle species or slow development of larvae in our cold sub-arctic study region may also limit numerical responses. Our study suggests that saproxylic beetles, owing to weak numerical responses, may so far have played a minor role in decomposing the vast quantities of dead wood left by the moth outbreak.", "link"=>"http://www.mendeley.com/research/numerical-responses-saproxylic-beetles-rapid-increases-dead-wood-availability-following-geometrid-mo", "reader_count"=>24, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Student > Master"=>2, "Other"=>1, "Professor"=>1, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Student > Master"=>2, "Other"=>1, "Professor"=>1, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Environmental Science"=>4, "Agricultural and Biological Sciences"=>17, "Biochemistry, Genetics and Molecular Biology"=>1}, "reader_count_by_subdiscipline"=>{"Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>17}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>4}}, "reader_count_by_country"=>{"Norway"=>1, "China"=>1, "Finland"=>1, "Italy"=>1, "Switzerland"=>1, "Spain"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1526625"], "description"=>"<p>Large symbols: predicted abundances from log-linear models (A–C) and proportions from logistic models (D–F) in dead and living forest in Kirkenes and Tana in 2011 and 2012. Error bars represent 95% confidence intervals. In cases where year effects were not supported by the model selection, only a single predicted value for each damage × location combination is presented, representing the overall estimate across 2011 and 2012. Small symbols: original datapoints, i.e. the observed station-specific counts (A–C) and proportions (D–F) of obligate- facultative- and non-saproxylic beetle species in Kirkenes and Tana in 2011 and 2012, plotted against the airline distance from the first station in each transect.</p>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "abundances", "proportions", "dwa", "groups", "sampling"], "article_id"=>1050720, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624.g003", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variation_in_abundances_and_proportions_of_DWA_groups_along_the_two_sampling_transects_/1050720", "title"=>"Variation in abundances and proportions of DWA groups along the two sampling transects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-09 02:50:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1526627"], "description"=>"<p>Large symbols: predicted abundances from log-linear models in dead and living forest in Kirkenes and Tana in 2011 and 2012. Error bars represent 95% confidence intervals. In cases where year effects were not supported by the model selection, only a single predicted value for each damage × location combination is presented, representing the overall estimate across 2011 and 2012. Small symbols: original datapoints, i.e. the observed station-specific counts of the beetle species in Kirkenes and Tana in 2011 and 2012, plotted against the airline distance from the first station in each transect. The degree of dead wood association for each species is given in parenthesis behind its name. O =  Obligate saproxylic. F =  Facultative saproxylic. N =  Non-saproxylic. All saproxylic species except <i>Malthodes guttifer</i> are known to be associated with birch. Note different scales on the Y axis in the plots for Kirkenes and Tana for <i>Elateroides dermestoides</i> (A) and <i>Anthophagus omalinus</i> (G).</p>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "abundances", "beetles", "sampling"], "article_id"=>1050722, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624.g004", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variation_in_abundances_of_individual_beetles_species_along_the_two_sampling_transects_/1050722", "title"=>"Variation in abundances of individual beetles species along the two sampling transects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-09 02:50:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1526628"], "description"=>"<p>A: Obligate saproxylic species. B: Non-saproxylic species. C: All beetle species collectively. Circles and triangles represent sites scores (corresponding to individuals sampling stations) from the RDAs. The letters on the symbols indicate the transect that each station belongs to. K =  Kirkenes. T =  Tana. Centroids for the levels of the three predictor variables are indicated by large letters on the plots. Forest damage: D =  Dead. L =  living. Location: Ki =  Kirkenes. Ta =  Tana. Year: 11 = 2011. 12 = 2012.The two polygons in each plot surround all stations belonging to dead and living forest. Note that the site scores are shown as principal coordinates <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0099624#pone.0099624-Greenacre1\" target=\"_blank\">[65]</a>, implying that the distances between points are two-dimensional approximations of the Hellinger distances between them. The percentage of the total variation that is accounted for by the RDA axes is given in the axis labels.</p>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "relating", "predictors", "beetle"], "article_id"=>1050723, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624.g005", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Biplots_relating_the_predictors_forest_damage_location_and_year_to_variation_in_beetle_community_structure_/1050723", "title"=>"Biplots relating the predictors forest damage, location and year to variation in beetle community structure.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-09 02:50:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1526629"], "description"=>"<p>D =  damage, L =  location and Y =  year. The amount of variance explained by each predictor is represented by the relative size of the circles in the venn diagrams. Overlapping areas indicate variance that is jointly explained by two of the predictors, while non-overlapping areas indicate variance that is uniquely explained by a single predictor. The residuals represent the proportion of the total variance in the beetle data that cannot be explained by the predictors. The values of the venneuler stress statistic <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0099624#pone.0099624-Wilkinson1\" target=\"_blank\">[66]</a> are below the 0.01 threshold (s.<sub>01</sub> = 0.056) in all cases, indicating that there is a good match (i.e. fit) between the venn diagrams and the actual variance components (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0099624#pone-0099624-t003\" target=\"_blank\">Table 3</a>).</p>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "explaining", "variance", "beetle"], "article_id"=>1050724, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624.g006", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Contributions_of_forest_damage_location_and_year_to_explaining_variance_in_beetle_community_structure_/1050724", "title"=>"Contributions of forest damage, location and year to explaining variance in beetle community structure.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-09 02:50:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1526630"], "description"=>"<p>The total number of individuals and species (in brackets) caught during the study for each DWA group and larval trophic guild.</p>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "individuals", "caught", "dwa", "larval", "trophic"], "article_id"=>1050725, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624.t002", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_total_number_of_individuals_and_species_in_brackets_caught_during_the_study_for_each_DWA_group_and_larval_trophic_guild_/1050725", "title"=>"The total number of individuals and species (in brackets) caught during the study for each DWA group and larval trophic guild.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-09 02:50:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1526631"], "description"=>"<p>Variance partitioning table showing how the predictor variables forest damage, location and year contribute to explaining the variance in beetle community structure for obligate-, facultative- and non-saproxylic (sx.) beetles, and for all beetle species collectively.</p>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "partitioning", "predictor", "variables", "explaining", "variance", "beetle", "facultative-", "non-saproxylic"], "article_id"=>1050726, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624.t003", "stats"=>{"downloads"=>1, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variance_partitioning_table_showing_how_the_predictor_variables_forest_damage_location_and_year_contribute_to_explaining_the_variance_in_beetle_community_structure_for_obligate_facultative_and_non_saproxylic_sx_beetles_and_for_all_beetle_species_collecti/1050726", "title"=>"Variance partitioning table showing how the predictor variables forest damage, location and year contribute to explaining the variance in beetle community structure for obligate-, facultative- and non-saproxylic (sx.) beetles, and for all beetle species collectively.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-09 02:50:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1526632"], "description"=>"<p>Classification system used to score the damage of birch stems.</p>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "birch"], "article_id"=>1050727, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624.t001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Classification_system_used_to_score_the_damage_of_birch_stems_/1050727", "title"=>"Classification system used to score the damage of birch stems.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-09 02:50:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1526666"], "description"=>"<div><p>Saproxylic insects play an important part in decomposing dead wood in healthy forest ecosystems, but little is known about their role in the aftermath of large-scale forest mortality caused by pest insect outbreaks. We used window traps to study short-term changes in the abundance and community structure of saproxylic beetles following extensive mortality of mountain birch in sub-arctic northern Norway caused by an outbreak of geometrid moths. Three to five years after the outbreak, the proportion of obligate saproxylic individuals in the beetle community was roughly 10% higher in forest damaged by the outbreak than in undamaged forest. This was mainly due to two early-successional saproxylic beetle species. Facultative saproxylic beetles showed no consistent differences between damaged and undamaged forest. These findings would suggest a weak numerical response of the saproxylic beetle community to the dead wood left by the outbreak. We suggest that species-specific preferences for certain wood decay stages may limit the number of saproxylic species that respond numerically to an outbreak at a particular time, and that increases in responding species may be constrained by limitations to the amount of dead wood that can be exploited within a given timeframe (i.e. satiation effects). Low diversity of beetle species or slow development of larvae in our cold sub-arctic study region may also limit numerical responses. Our study suggests that saproxylic beetles, owing to weak numerical responses, may so far have played a minor role in decomposing the vast quantities of dead wood left by the moth outbreak.</p></div>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "responses", "saproxylic", "beetles", "geometrid", "moth", "outbreaks", "sub-arctic", "birch"], "article_id"=>1050760, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624", "stats"=>{"downloads"=>9, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Numerical_Responses_of_Saproxylic_Beetles_to_Rapid_Increases_in_Dead_Wood_Availability_following_Geometrid_Moth_Outbreaks_in_Sub_Arctic_Mountain_Birch_Forest_/1050760", "title"=>"Numerical Responses of Saproxylic Beetles to Rapid Increases in Dead Wood Availability following Geometrid Moth Outbreaks in Sub-Arctic Mountain Birch Forest", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-09 02:50:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1526623"], "description"=>"<p>Red areas represent birch forest which experienced severe defoliation during the most recent moth outbreak. Different shades indicate the main years of defoliation for different areas (see key). The sampling stations of the two transects are indicated by black dots.</p>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "finnmark", "varanger", "inset"], "article_id"=>1050718, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624.g001", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Map_of_Finnmark_County_A_with_the_study_region_in_Varanger_inset_B_/1050718", "title"=>"Map of Finnmark County (A) with the study region in Varanger inset (B).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-09 02:50:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1526624"], "description"=>"<p>The X axes represent the airline distances from the first sampling station in each transect. Large circles represent mean damage scores for each station, while small circles represent scores for individual stems. A small amount of noise has been added to the stem-specific scores to help distinguish individual datapoints. See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0099624#pone-0099624-t001\" target=\"_blank\">table 1</a> for explanation of damage scores.</p>", "links"=>[], "tags"=>["agriculture", "Forestry", "ecology", "Community Ecology", "community structure", "ecosystems", "ecosystem functioning", "Ecological metrics", "Population ecology", "Terrestrial ecology", "Plant science", "Plant pathology", "Plant pests", "Population biology", "Population Dynamics", "Zoology", "Entomology", "scores", "birch", "stems", "sampling"], "article_id"=>1050719, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Ole Petter Laksforsmo Vindstad", "Sabrina Schultze", "Jane Uhd Jepsen", "Martin Biuw", "Lauri Kapari", "Anne Sverdrup-Thygeson", "Rolf Anker Ims"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0099624.g002", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Station_specific_damage_scores_of_birch_stems_along_the_two_sampling_transects_/1050719", "title"=>"Station-specific damage scores of birch stems along the two sampling transects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-09 02:50:48"}

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Relative Metric

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