Climate and the Individual: Inter-Annual Variation in the Autumnal Activity of the European Badger (Meles meles)
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{"title"=>"Climate and the individual: Inter-annual variation in the autumnal activity of the European badger (Meles meles)", "type"=>"journal", "authors"=>[{"first_name"=>"Michael J.", "last_name"=>"Noonan", "scopus_author_id"=>"56112839900"}, {"first_name"=>"Andrew", "last_name"=>"Markham", "scopus_author_id"=>"35105425400"}, {"first_name"=>"Chris", "last_name"=>"Newman", "scopus_author_id"=>"35550720700"}, {"first_name"=>"Niki", "last_name"=>"Trigoni", "scopus_author_id"=>"23502091400"}, {"first_name"=>"Christina D.", "last_name"=>"Buesching", "scopus_author_id"=>"6602916985"}, {"first_name"=>"Stephen A.", "last_name"=>"Ellwood", "scopus_author_id"=>"6701395169"}, {"first_name"=>"David W.", "last_name"=>"Macdonald", "scopus_author_id"=>"7401463172"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84898475588", "sgr"=>"84898475588", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0083156", "pmid"=>"24465376", "isbn"=>"10.1371/journal.pone.0083156", "pui"=>"372817948"}, "id"=>"897de6c7-433d-38e0-a90a-89dc0a7004fe", "abstract"=>"We establish intra-individual and inter-annual variability in European badger (Meles meles) autumnal nightly activity in relation to fine-scale climatic variables, using tri-axial accelerometry. This contributes further to understanding of causality in the established interaction between weather conditions and population dynamics in this species. Modelling found that measures of daylight, rain/humidity, and soil temperature were the most supported predictors of ACTIVITY, in both years studied. In 2010, the drier year, the most supported model included the SOLAR*RH interaction, RAIN, and 30cmTEMP (w = 0.557), while in 2012, a wetter year, the most supported model included the SOLAR*RH interaction, and the RAIN*10cmTEMP (w = 0.999). ACTIVITY also differed significantly between individuals. In the 2012 autumn study period, badgers with the longest per noctem activity subsequently exhibited higher Body Condition Indices (BCI) when recaptured. In contrast, under drier 2010 conditions, badgers in good BCI engaged in less per noctem activity, while badgers with poor BCI were the most active. When compared on the same calendar dates, to control for night length, duration of mean badger nightly activity was longer (9.5 hrs ±3.3 SE) in 2010 than in 2012 (8.3 hrs ±1.9 SE). In the wetter year, increasing nightly activity was associated with net-positive energetic gains (from BCI), likely due to better foraging conditions. In a drier year, with greater potential for net-negative energy returns, individual nutritional state proved crucial in modifying activity regimes; thus we emphasise how a 'one size fits all' approach should not be applied to ecological responses.", "link"=>"http://www.mendeley.com/research/climate-individual-interannual-variation-autumnal-activity-european-badger-meles-meles", "reader_count"=>46, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>3, "Student > Master"=>9, "Other"=>1, "Student > Bachelor"=>6}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>3, "Student > Master"=>9, "Other"=>1, "Student > Bachelor"=>6}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Environmental Science"=>12, "Agricultural and Biological Sciences"=>30, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>30}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>12}}, "reader_count_by_country"=>{"Czech Republic"=>1, "United Kingdom"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1349936", "https://ndownloader.figshare.com/files/1349937", "https://ndownloader.figshare.com/files/1349938"], "description"=>"<div><p>We establish intra-individual and inter-annual variability in European badger (<i>Meles meles</i>) autumnal nightly activity in relation to fine-scale climatic variables, using tri-axial accelerometry. This contributes further to understanding of causality in the established interaction between weather conditions and population dynamics in this species. Modelling found that measures of daylight, rain/humidity, and soil temperature were the most supported predictors of ACTIVITY, in both years studied. In 2010, the drier year, the most supported model included the SOLAR*RH interaction, RAIN, and30cmTEMP (<i>w</i> = 0.557), while in 2012, a wetter year, the most supported model included the SOLAR*RH interaction, and the RAIN*10cmTEMP (<i>w</i> = 0.999). ACTIVITY also differed significantly between individuals. In the 2012 autumn study period, badgers with the longest <i>per noctem</i> activity subsequently exhibited higher Body Condition Indices (BCI) when recaptured. In contrast, under drier 2010 conditions, badgers in good BCI engaged in less <i>per noctem</i> activity, while badgers with poor BCI were the most active. When compared on the same calendar dates, to control for night length, duration of mean badger nightly activity was longer (9.5 hrs ±3.3 SE) in 2010 than in 2012 (8.3 hrs ±1.9 SE). In the wetter year, increasing nightly activity was associated with net-positive energetic gains (from BCI), likely due to better foraging conditions. In a drier year, with greater potential for net-negative energy returns, individual nutritional state proved crucial in modifying activity regimes; thus we emphasise how a ‘one size fits all’ approach should not be applied to ecological responses.</p></div>", "links"=>[], "tags"=>["Computational biology", "ecology", "Autecology", "Behavioral ecology", "Ecophysiology", "Physiological ecology", "Evolutionary biology", "Animal behavior", "Zoology", "Animal physiology", "Mammalogy", "inter-annual", "autumnal", "european", "badger"], "article_id"=>902956, "categories"=>["Biological Sciences"], "users"=>["Michael J. Noonan", "Andrew Markham", "Chris Newman", "Niki Trigoni", "Christina D. Buesching", "Stephen A. Ellwood", "David W. Macdonald"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0083156.s001", "https://dx.doi.org/10.1371/journal.pone.0083156.s002", "https://dx.doi.org/10.1371/journal.pone.0083156.s003"], "stats"=>{"downloads"=>3, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Climate_and_the_Individual_Inter_Annual_Variation_in_the_Autumnal_Activity_of_the_European_Badger_Meles_meles_/902956", "title"=>"Climate and the Individual: Inter-Annual Variation in the Autumnal Activity of the European Badger (<i>Meles meles</i>)", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-01-17 02:49:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1349933"], "description"=>"<p><sup>a</sup> The selected model.</p><p>Model selection using Akaike's information criterion (AIC) to assess variation in hourly ACTIVITY in 2010, and 2012. The parameter β<sub>0</sub> provides an estimate of the model intercept of the angular transformed ACTIVITY in a linear function, with standard error in parentheses. In addition, <i>var</i><sub>(INDIVIDUAL)</sub>, an estimate of the variation between individuals for each climatic prediction model, and parameter estimates for each model are also presented; as all models included only one measure of temperature, β<sub>Temperature</sub> refers to the parameter used (i.e., TEMP, 10cmTEMP, 30cmTEMP). Akaike differences (ΔAIC), and weight (<i>w</i>AIC<sub>i</sub>) relative to the best model are also provided. For clarity, only the top 10 models in each year are listed, including the intercept.</p>", "links"=>[], "tags"=>["Computational biology", "ecology", "Autecology", "Behavioral ecology", "Ecophysiology", "Physiological ecology", "Evolutionary biology", "Animal behavior", "Zoology", "Animal physiology", "Mammalogy", "variables", "predictors"], "article_id"=>902953, "categories"=>["Biological Sciences"], "users"=>["Michael J. Noonan", "Andrew Markham", "Chris Newman", "Niki Trigoni", "Christina D. Buesching", "Stephen A. Ellwood", "David W. Macdonald"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083156.t002", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Climatic_variables_as_predictors_of_per_noctem_ACTIVITY_/902953", "title"=>"Climatic variables as predictors of <i>per noctem</i> ACTIVITY.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-17 02:49:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1349931"], "description"=>"<p>Individual measures of nutritional state (L∶W) in comparison to the population mean (PM) ± the standard deviation (SD) in June, September, and November in 2010 (A) and 2012 (B). Red points indicate badgers with comparatively long ACTIVITY, where blue points indicate badgers with comparatively short ACTIVITY.</p>", "links"=>[], "tags"=>["Computational biology", "ecology", "Autecology", "Behavioral ecology", "Ecophysiology", "Physiological ecology", "Evolutionary biology", "Animal behavior", "Zoology", "Animal physiology", "Mammalogy", "nutritional", "states"], "article_id"=>902951, "categories"=>["Biological Sciences"], "users"=>["Michael J. Noonan", "Andrew Markham", "Chris Newman", "Niki Trigoni", "Christina D. Buesching", "Stephen A. Ellwood", "David W. Macdonald"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083156.g005", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variation_in_individual_nutritional_states_from_the_population_/902951", "title"=>"Variation in individual nutritional states from the population.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-17 02:49:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1349930"], "description"=>"<p>Mean <i>per noctem</i> ACTIVITY and daily air temperature (TEMP) over the course of the study periods in 2010 (A) and 2012 (B). In 2010 ACTIVITY correlated significantly and postively with TEMP (F<sub>[1,216]</sub> = 86.493, p<0.0005), where in 2012, there was no correlation between ACTIVITY and TEMP (F<sub>[1,230]</sub> = 2.456, p = 0.118).</p>", "links"=>[], "tags"=>["Computational biology", "ecology", "Autecology", "Behavioral ecology", "Ecophysiology", "Physiological ecology", "Evolutionary biology", "Animal behavior", "Zoology", "Animal physiology", "Mammalogy", "temp"], "article_id"=>902950, "categories"=>["Biological Sciences"], "users"=>["Michael J. Noonan", "Andrew Markham", "Chris Newman", "Niki Trigoni", "Christina D. Buesching", "Stephen A. Ellwood", "David W. Macdonald"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083156.g004", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_per_noctem_ACTIVITY_and_TEMP_over_the_study_periods_/902950", "title"=>"Mean <i>per noctem</i> ACTIVITY and TEMP over the study periods.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-17 02:49:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1349927"], "description"=>"<p>Mean <i>per noctem</i> ACTIVITY over the course of the study periods in 2010 and 2012. The duration of <i>per noctem</i> ACTIVITY was significantly more variable in 2010 than it was in 2012 (CV = 35.3%, <i>n</i> = 58; CV = 22.7%, <i>n</i> = 60 respectively; Levene's: <i>F</i><sub>[1,116]</sub> = 8.462, p = 0.004), this was also true when compared on the same calendar dates, to control for night length, significantly longer (ANOVA: <i>F</i><sub>[1,1454]</sub> = 13.510, p<0.0005) in 2010.</p>", "links"=>[], "tags"=>["Computational biology", "ecology", "Autecology", "Behavioral ecology", "Ecophysiology", "Physiological ecology", "Evolutionary biology", "Animal behavior", "Zoology", "Animal physiology", "Mammalogy"], "article_id"=>902947, "categories"=>["Biological Sciences"], "users"=>["Michael J. Noonan", "Andrew Markham", "Chris Newman", "Niki Trigoni", "Christina D. Buesching", "Stephen A. Ellwood", "David W. Macdonald"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083156.g002", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_per_noctem_ACTIVITY_over_the_study_periods_/902947", "title"=>"Mean <i>per noctem</i> ACTIVITY over the study periods.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-17 02:49:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1349926"], "description"=>"<p>Mean daily air temperature (TEMP) over the course of the study periods in 2010 and 2012. Between the two years, we found no difference in daily TEMP (ANOVA: <i>F</i><sub>[1,116]</sub> = 1.692, p = 0.196), nor between TEMP variability (2010: CV 27.8%, <i>n</i> = 58; 2012: CV = 27.1%, n = 60; Levene's: <i>F</i><sub>[1,116]</sub> = 0.662, p = 0.432) but 2012 proved significantly colder (daily TEMP 4°C cooler) than 2010 (paired sample t-test: t<sub>32</sub> = −8.352, p<0.0005) over matched calendar dates.</p>", "links"=>[], "tags"=>["Computational biology", "ecology", "Autecology", "Behavioral ecology", "Ecophysiology", "Physiological ecology", "Evolutionary biology", "Animal behavior", "Zoology", "Animal physiology", "Mammalogy", "temp"], "article_id"=>902946, "categories"=>["Biological Sciences"], "users"=>["Michael J. Noonan", "Andrew Markham", "Chris Newman", "Niki Trigoni", "Christina D. Buesching", "Stephen A. Ellwood", "David W. Macdonald"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083156.g001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_daily_TEMP_over_the_study_periods_/902946", "title"=>"Mean daily TEMP over the study periods.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-17 02:49:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1349934"], "description"=>"<p>Mean values for climate parameters and ACTIVITY ± SD over the duration of the study periods in 2010 (58 days) and 2012 (60 days). Paired parameters represent means over the same calendar dates (Sep. 28–Oct. 30).</p>", "links"=>[], "tags"=>["Computational biology", "ecology", "Autecology", "Behavioral ecology", "Ecophysiology", "Physiological ecology", "Evolutionary biology", "Animal behavior", "Zoology", "Animal physiology", "Mammalogy"], "article_id"=>902954, "categories"=>["Biological Sciences"], "users"=>["Michael J. Noonan", "Andrew Markham", "Chris Newman", "Niki Trigoni", "Christina D. Buesching", "Stephen A. Ellwood", "David W. Macdonald"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083156.t001", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Climatic_parameters_and_ACTIVITY_/902954", "title"=>"Climatic parameters and ACTIVITY.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-17 02:49:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1349929"], "description"=>"<p>Mean <i>per noctem</i> ACTIVITY and relative humidity (RH) over the course of the study periods in 2010 (A) and 2012 (B). In 2010, there was no correlation between ACTIVITY and RH (F<sub>[1,216]</sub> = 0.458, p = 0.50). In 2012, ACTIVITY correlated significantly and postively with RH (F<sub>[1,230]</sub> = 102.593, p<0.0005).</p>", "links"=>[], "tags"=>["Computational biology", "ecology", "Autecology", "Behavioral ecology", "Ecophysiology", "Physiological ecology", "Evolutionary biology", "Animal behavior", "Zoology", "Animal physiology", "Mammalogy", "rh"], "article_id"=>902949, "categories"=>["Biological Sciences"], "users"=>["Michael J. Noonan", "Andrew Markham", "Chris Newman", "Niki Trigoni", "Christina D. Buesching", "Stephen A. Ellwood", "David W. Macdonald"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083156.g003", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_per_noctem_ACTIVITY_and_RH_over_the_study_periods_/902949", "title"=>"Mean <i>per noctem</i> ACTIVITY and RH over the study periods.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-17 02:49:34"}

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Relative Metric

{"start_date"=>"2014-01-01T00:00:00Z", "end_date"=>"2014-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Organisms", "average_usage"=>[310]}, {"subject_area"=>"/Biology and life sciences/Zoology", "average_usage"=>[329]}, {"subject_area"=>"/Ecology and environmental sciences/Ecology", "average_usage"=>[313]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[286]}]}
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