Productivity, Disturbance and Ecosystem Size Have No Influence on Food Chain Length in Seasonally Connected Rivers
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{"title"=>"Productivity, Disturbance and Ecosystem Size Have No Influence on Food Chain Length in Seasonally Connected Rivers", "type"=>"journal", "authors"=>[{"first_name"=>"Danielle M.", "last_name"=>"Warfe", "scopus_author_id"=>"6507800654"}, {"first_name"=>"Timothy D.", "last_name"=>"Jardine", "scopus_author_id"=>"6603449464"}, {"first_name"=>"Neil E.", "last_name"=>"Pettit", "scopus_author_id"=>"6603929905"}, {"first_name"=>"Stephen K.", "last_name"=>"Hamilton", "scopus_author_id"=>"7402244920"}, {"first_name"=>"Bradley J.", "last_name"=>"Pusey", "scopus_author_id"=>"6701838536"}, {"first_name"=>"Stuart E.", "last_name"=>"Bunn", "scopus_author_id"=>"7007032760"}, {"first_name"=>"Peter M.", "last_name"=>"Davies", "scopus_author_id"=>"7403894538"}, {"first_name"=>"Michael M.", "last_name"=>"Douglas", "scopus_author_id"=>"7202715945"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84878944178", "pui"=>"369102445", "doi"=>"10.1371/journal.pone.0066240", "isbn"=>"1932-6203 (Electronic)\\n1932-6203 (Linking)", "sgr"=>"84878944178", "pmid"=>"23776641"}, "id"=>"a8e9f071-f215-34f6-822a-38783470f57e", "abstract"=>"The food web is one of the oldest and most central organising concepts in ecology and for decades, food chain length has been hypothesised to be controlled by productivity, disturbance, and/or ecosystem size; each of which may be mediated by the functional trophic role of the top predator. We characterised aquatic food webs using carbon and nitrogen stable isotopes from 66 river and floodplain sites across the wet-dry tropics of northern Australia to determine the relative importance of productivity (indicated by nutrient concentrations), disturbance (indicated by hydrological isolation) and ecosystem size, and how they may be affected by food web architecture. We show that variation in food chain length was unrelated to these classic environmental determinants, and unrelated to the trophic role of the top predator. This finding is a striking exception to the literature and is the first published example of food chain length being unaffected by any of these determinants. We suggest the distinctive seasonal hydrology of northern Australia allows the movement of fish predators, linking isolated food webs and potentially creating a regional food web that overrides local effects of productivity, disturbance and ecosystem size. This finding supports ecological theory suggesting that mobile consumers promote more stable food webs. It also illustrates how food webs, and energy transfer, may function in the absence of the human modifications to landscape hydrological connectivity that are ubiquitous in more populated regions.", "link"=>"http://www.mendeley.com/research/productivity-disturbance-ecosystem-size-influence-food-chain-length-seasonally-connected-rivers", "reader_count"=>77, "reader_count_by_academic_status"=>{"Unspecified"=>5, "Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>18, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>1, "Student > Master"=>17, "Other"=>1, "Student > Bachelor"=>6, "Professor"=>7}, "reader_count_by_user_role"=>{"Unspecified"=>5, "Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>18, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>1, "Student > Master"=>17, "Other"=>1, "Student > Bachelor"=>6, "Professor"=>7}, "reader_count_by_subject_area"=>{"Unspecified"=>8, "Environmental Science"=>26, "Agricultural and Biological Sciences"=>39, "Physics and Astronomy"=>1, "Earth and Planetary Sciences"=>2, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>39}, "Unspecified"=>{"Unspecified"=>8}, "Environmental Science"=>{"Environmental Science"=>26}}, "reader_count_by_country"=>{"Republic of Singapore"=>1, "United States"=>3, "Japan"=>1, "Brazil"=>3, "Mexico"=>1, "France"=>1, "Chile"=>1, "Portugal"=>1, "Germany"=>2}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1084588"], "description"=>"<p>AIC<sub>c</sub> is Akaike's Information Criterion corrected for small sample size, Δ<i><sub>i</sub></i> is the AIC<sub>c</sub> difference between a given model and that with the lowest AIC<sub>c</sub> value, and <i>w<sub>i</sub></i> is the Akaike weight. The evidence ratio is the relative weight compared to the top model. <i>R</i><sup>2</sup> is the coefficient of determination, and the p-value is the significance of the proportion of variation explained by each determinant as assessed by marginal permutation tests.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Energy flow", "Food web structure", "Ecological environments", "Freshwater environments", "Ecological metrics", "Productivity (ecology)", "biota", "ecosystems", "Freshwater ecology", "theoretical ecology", "evaluating", "hypothesised", "determinants"], "article_id"=>718043, "categories"=>["Biological Sciences"], "users"=>["Danielle M. Warfe", "Timothy D. Jardine", "Neil E. Pettit", "Stephen K. Hamilton", "Bradley J. Pusey", "Stuart E. Bunn", "Peter M. Davies", "Michael M. Douglas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066240.t003", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Model_selection_results_for_evaluating_the_hypothesised_determinants_of_food_chain_length_/718043", "title"=>"Model selection results for evaluating the hypothesised determinants of food chain length.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-12 02:14:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1084587"], "description"=>"<p>Taxon (macroinvertebrate (n = 4) or fish (n = 23)), habit, morphology, and observational data contributed to defining trophic classes, but designation was largely based on published summaries of gut contents <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066240#pone.0066240-Pusey1\" target=\"_blank\">[58]</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066240#pone.0066240-Davis1\" target=\"_blank\">[59]</a> according to relative proportions of major dietary items.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Energy flow", "Food web structure", "Ecological environments", "Freshwater environments", "Ecological metrics", "Productivity (ecology)", "biota", "ecosystems", "Freshwater ecology", "theoretical ecology", "66", "sampled", "classified", "trophic"], "article_id"=>718042, "categories"=>["Biological Sciences"], "users"=>["Danielle M. Warfe", "Timothy D. Jardine", "Neil E. Pettit", "Stephen K. Hamilton", "Bradley J. Pusey", "Stuart E. Bunn", "Peter M. Davies", "Michael M. Douglas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066240.t002", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Trophic_roles_of_the_top_predator_in_each_food_web_from_our_66_sampled_sites_along_with_example_species_in_each_group_classified_according_to_increasing_trophic_level_/718042", "title"=>"Trophic roles of the top predator in each food web from our 66 sampled sites, along with example species in each group, classified according to increasing trophic level.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-12 02:14:02"}
  • {"files"=>["https://ndownloader.figshare.com/files/1084581"], "description"=>"<p>A) The region of the wet-dry tropics of northern Australia (mid-grey), with study catchments highlighted (dark grey). States and territories are labelled, as are major towns (stars) and gauging stations (white triangles). B) The Fitzroy River catchment (96,000 km<sup>2</sup>, n = 18 sites), C) the Daly River catchment (55,000 km<sup>2</sup>, n = 26 sites), and D) the Mitchell River catchment (72,000 km<sup>2</sup>, n = 22 sites) showing sampling locations (black circles).</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Energy flow", "Food web structure", "Ecological environments", "Freshwater environments", "Ecological metrics", "Productivity (ecology)", "biota", "ecosystems", "Freshwater ecology", "theoretical ecology"], "article_id"=>718036, "categories"=>["Biological Sciences"], "users"=>["Danielle M. Warfe", "Timothy D. Jardine", "Neil E. Pettit", "Stephen K. Hamilton", "Bradley J. Pusey", "Stuart E. Bunn", "Peter M. Davies", "Michael M. Douglas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066240.g001", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Map_of_the_study_area_and_sample_sites_/718036", "title"=>"Map of the study area and sample sites.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-12 02:13:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/1084590", "https://ndownloader.figshare.com/files/1084591"], "description"=>"<div><p>The food web is one of the oldest and most central organising concepts in ecology and for decades, food chain length has been hypothesised to be controlled by productivity, disturbance, and/or ecosystem size; each of which may be mediated by the functional trophic role of the top predator. We characterised aquatic food webs using carbon and nitrogen stable isotopes from 66 river and floodplain sites across the wet-dry tropics of northern Australia to determine the relative importance of productivity (indicated by nutrient concentrations), disturbance (indicated by hydrological isolation) and ecosystem size, and how they may be affected by food web architecture. We show that variation in food chain length was unrelated to these classic environmental determinants, and unrelated to the trophic role of the top predator. This finding is a striking exception to the literature and is the first published example of food chain length being unaffected by any of these determinants. We suggest the distinctive seasonal hydrology of northern Australia allows the movement of fish predators, linking isolated food webs and potentially creating a regional food web that overrides local effects of productivity, disturbance and ecosystem size. This finding supports ecological theory suggesting that mobile consumers promote more stable food webs. It also illustrates how food webs, and energy transfer, may function in the absence of the human modifications to landscape hydrological connectivity that are ubiquitous in more populated regions.</p></div>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Energy flow", "Food web structure", "Ecological environments", "Freshwater environments", "Ecological metrics", "Productivity (ecology)", "biota", "ecosystems", "Freshwater ecology", "theoretical ecology", "disturbance", "seasonally", "connected"], "article_id"=>718045, "categories"=>["Biological Sciences"], "users"=>["Danielle M. Warfe", "Timothy D. Jardine", "Neil E. Pettit", "Stephen K. Hamilton", "Bradley J. Pusey", "Stuart E. Bunn", "Peter M. Davies", "Michael M. Douglas"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0066240.s001", "https://dx.doi.org/10.1371/journal.pone.0066240.s002"], "stats"=>{"downloads"=>16, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Productivity_Disturbance_and_Ecosystem_Size_Have_No_Influence_on_Food_Chain_Length_in_Seasonally_Connected_Rivers_/718045", "title"=>"Productivity, Disturbance and Ecosystem Size Have No Influence on Food Chain Length in Seasonally Connected Rivers", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-06-12 02:14:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/1084589"], "description"=>"<p>+ indicates significant positive effect on FCL.</p><p>− indicates significant negative effect on FCL.</p><p>0 indicates non-significant effect.</p><p>Absence of symbol indicates the determinant was not tested.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Energy flow", "Food web structure", "Ecological environments", "Freshwater environments", "Ecological metrics", "Productivity (ecology)", "biota", "ecosystems", "Freshwater ecology", "theoretical ecology", "findings", "studies", "concurrently", "tested", "determinants"], "article_id"=>718044, "categories"=>["Biological Sciences"], "users"=>["Danielle M. Warfe", "Timothy D. Jardine", "Neil E. Pettit", "Stephen K. Hamilton", "Bradley J. Pusey", "Stuart E. Bunn", "Peter M. Davies", "Michael M. Douglas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066240.t001", "stats"=>{"downloads"=>1, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_findings_from_studies_which_have_concurrently_tested_one_or_more_environmental_determinants_of_food_chain_length_/718044", "title"=>"Summary of findings from studies which have concurrently tested one or more environmental determinants of food chain length.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-12 02:14:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1084585"], "description"=>"<p>Relationships between FCL and A) productivity (<i>R<sup>2</sup></i> = 0.000, <i>P</i> = 0.914), B) ecosystem size (<i>R<sup>2</sup></i> = 0.000, <i>P</i> = 0.927), C) disturbance (<i>R<sup>2</sup></i> = 0.019, F<sub>2,63</sub> = 2.429, <i>P</i> = 0.098), and D) trophic class of the top predator (<i>R<sup>2</sup></i> = 0.003, <i>P</i> = 0.681). These relationships all had n = 66, and the disturbance categories are labelled as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066240#pone-0066240-g002\" target=\"_blank\">Fig. 2</a>. Also presented are supplementary relationships between FCL and E) catchment area (n = 54, <i>R<sup>2</sup></i> = 0.001, <i>P</i> = 0.785), and F) the mean annual number of zero-flow days (n = 17, <i>R<sup>2</sup></i> = 0.023, <i>P</i> = 0.561).</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Energy flow", "Food web structure", "Ecological environments", "Freshwater environments", "Ecological metrics", "Productivity (ecology)", "biota", "ecosystems", "Freshwater ecology", "theoretical ecology", "determinants"], "article_id"=>718040, "categories"=>["Biological Sciences"], "users"=>["Danielle M. Warfe", "Timothy D. Jardine", "Neil E. Pettit", "Stephen K. Hamilton", "Bradley J. Pusey", "Stuart E. Bunn", "Peter M. Davies", "Michael M. Douglas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066240.g003", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relationships_between_environmental_determinants_and_food_chain_length_/718040", "title"=>"Relationships between environmental determinants and food chain length.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-12 02:14:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/1084583"], "description"=>"<p>Relationships between A) productivity and ecosystem size (<i>R<sup>2</sup></i> = 0.135, <i>P</i><0.003), B) productivity and disturbance (<i>R<sup>2</sup></i> = 0.070, F<sub>2,63</sub> = 2.455, <i>P</i> = 0.088), and C) ecosystem size and disturbance (<i>R<sup>2</sup></i> = 0.378, F<sub>2,63</sub> = 4.706, <i>P</i><0.014). For all relationships n = 66 sites. For the disturbance index, “perenn” indicates perennially-flowing sites, “intF” are sites that are intermittent but flowing at the time of sampling, and “intNF” are intermittent non-flowing sites.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Energy flow", "Food web structure", "Ecological environments", "Freshwater environments", "Ecological metrics", "Productivity (ecology)", "biota", "ecosystems", "Freshwater ecology", "theoretical ecology"], "article_id"=>718038, "categories"=>["Biological Sciences"], "users"=>["Danielle M. Warfe", "Timothy D. Jardine", "Neil E. Pettit", "Stephen K. Hamilton", "Bradley J. Pusey", "Stuart E. Bunn", "Peter M. Davies", "Michael M. Douglas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066240.g002", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relationships_among_environmental_determinants_/718038", "title"=>"Relationships among environmental determinants.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-12 02:13:58"}

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Relative Metric

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