Productivity-Diversity Relationships in Lake Plankton Communities
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{"title"=>"Productivity-diversity relationships in lake plankton communities", "type"=>"journal", "authors"=>[{"first_name"=>"Jenni J.", "last_name"=>"Korhonen", "scopus_author_id"=>"35737285600"}, {"first_name"=>"Jianjun", "last_name"=>"Wang", "scopus_author_id"=>"35273581500"}, {"first_name"=>"Janne", "last_name"=>"Soininen", "scopus_author_id"=>"35621311000"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-79961204848", "sgr"=>"79961204848", "pui"=>"362287380", "isbn"=>"1932-6203", "pmid"=>"21850218", "doi"=>"10.1371/journal.pone.0022041"}, "id"=>"eacb6bf0-4b19-3020-8869-567eea6ea0d1", "abstract"=>"One of the most intriguing environmental gradients connected with variation in diversity is ecosystem productivity. The role of diversity in ecosystems is pivotal, because species richness can be both a cause and a consequence of primary production. However, the mechanisms behind the varying productivity-diversity relationships (PDR) remain poorly understood. Moreover, large-scale studies on PDR across taxa are urgently needed. Here, we examined the relationships between resource supply and phyto-, bacterio-, and zooplankton richness in 100 small boreal lakes. We studied the PDR locally within the drainage systems and regionally across the systems. Second, we studied the relationships between resource availability, species richness, biomass and resource ratio (N:P) in phytoplankton communities using Structural Equation Modeling (SEM) for testing the multivariate hypothesis of PDR. At the local scale, the PDR showed variable patterns ranging from positive linear and unimodal to negative linear relationships for all planktonic groups. At the regional scale, PDRs were significantly linear and positive for phyto- and zooplankton. Phytoplankton richness and the amount of chlorophyll a showed a positive linear relationship indicating that communities consisting of higher number of species were able to produce higher levels of biomass. According to the SEM, phytoplankton biomass was largely related to resource availability, yet there was a pathway via community richness. Finally, we found that species richness at all trophic levels was correlated with several environmental factors, and was also related to richness at the other trophic levels. This study showed that the PDRs in freshwaters show scale-dependency. We also documented that the PDR complies with the multivariate model showing that plant biomass is not mirroring merely the resource availability, but is also influenced by richness. This highlights the need for conserving diversity in order to maintain ecosystem processes in freshwaters.", "link"=>"http://www.mendeley.com/research/productivitydiversity-relationships-lake-plankton-communities", "reader_count"=>118, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>5, "Researcher"=>30, "Student > Doctoral Student"=>8, "Student > Ph. D. Student"=>35, "Student > Postgraduate"=>3, "Student > Master"=>18, "Other"=>2, "Student > Bachelor"=>6, "Lecturer"=>1, "Professor"=>6}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>5, "Researcher"=>30, "Student > Doctoral Student"=>8, "Student > Ph. D. Student"=>35, "Student > Postgraduate"=>3, "Student > Master"=>18, "Other"=>2, "Student > Bachelor"=>6, "Lecturer"=>1, "Professor"=>6}, "reader_count_by_subject_area"=>{"Unspecified"=>10, "Environmental Science"=>35, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Agricultural and Biological Sciences"=>57, "Physics and Astronomy"=>3, "Chemistry"=>1, "Social Sciences"=>1, "Earth and Planetary Sciences"=>8, "Energy"=>1}, "reader_count_by_subdiscipline"=>{"Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Energy"=>{"Energy"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>3}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>8}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>57}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>10}, "Environmental Science"=>{"Environmental Science"=>35}}, "reader_count_by_country"=>{"Canada"=>1, "Sweden"=>1, "United States"=>1, "China"=>1, "Brazil"=>3, "Mexico"=>3, "South Africa"=>1, "Switzerland"=>1, "Germany"=>3}, "group_count"=>2}

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  • {"files"=>["https://ndownloader.figshare.com/files/748410"], "description"=>"<p>The study areas were: 1) Vantaanjoki, 2) Karjaanjoki, 3) Kokemäenjoki, 4) Upper Kymijoki, and 5) Koutajoki. On the right, small maps show geographical positions of each lake in the same study areas.</p>", "links"=>[], "tags"=>["finland", "areas", "marked"], "article_id"=>418784, "categories"=>["Inorganic Chemistry", "Ecology"], "users"=>["Jenni J. Korhonen", "Jianjun Wang", "Janne Soininen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022041.g002", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Map_of_Finland_with_the_study_areas_marked_by_gray_circles_/418784", "title"=>"Map of Finland with the study areas marked by gray circles.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-08-05 02:26:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/748772"], "description"=>"<p>The best models were identified with Akaike's Information Criterion (AIC).</p>", "links"=>[], "tags"=>["linear", "bacterioplankton", "richness", "lakes"], "article_id"=>419143, "categories"=>["Inorganic Chemistry", "Ecology"], "users"=>["Jenni J. Korhonen", "Jianjun Wang", "Janne Soininen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022041.t002", "stats"=>{"downloads"=>0, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_results_of_General_Linear_Model_for_the_zooplankton_phytoplankton_and_bacterioplankton_richness_for_the_whole_set_of_lakes_n_8202_8202_100_/419143", "title"=>"The results of General Linear Model for the zooplankton, phytoplankton, and bacterioplankton richness for the whole set of lakes (n = 100).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-08-05 02:32:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/748586"], "description"=>"<p>The relationship between a) phytoplankton richness (n = 100), and b) NMDS1 site scores and chl <i>a</i> (P = 0.009, and P<0.001, respectively).</p>", "links"=>[], "tags"=>["phytoplankton", "richness", "nmds1", "scores", "chl"], "article_id"=>418952, "categories"=>["Inorganic Chemistry", "Ecology"], "users"=>["Jenni J. Korhonen", "Jianjun Wang", "Janne Soininen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022041.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_relationship_between_a_phytoplankton_richness_n_100_and_b_NMDS1_site_scores_and_chl_a_P_0_009_and_P_/418952", "title"=>"The relationship between a) phytoplankton richness (n = 100), and b) NMDS1 site scores and chl <i>a</i> (P = 0.009, and P<0.001, respectively).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-08-05 02:29:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/748804"], "description"=>"<p>Linear or quadratic model is given depending on the AIC value of the model. The regression model for zooplankton in Karjaanjoki was negative linear as well as the model for bacterioplankton in Upper Kymijoki. The rest of the linear models were all positively correlated. Significant results are in bold. * Data for all regions were log-transformed.</p>", "links"=>[], "tags"=>["regression", "models", "relationships", "richness", "concentrations", "drainage", "systems", "lakes", "planktonic"], "article_id"=>419172, "categories"=>["Inorganic Chemistry", "Ecology"], "users"=>["Jenni J. Korhonen", "Jianjun Wang", "Janne Soininen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022041.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_regression_models_for_the_relationships_between_local_species_richness_and_concentrations_of_total_P_181_g_l_at_five_drainage_systems_and_for_the_whole_set_of_lakes_for_each_planktonic_group_/419172", "title"=>"The regression models for the relationships between local species richness and concentrations of total P (µg/l) at five drainage systems and for the whole set of lakes for each planktonic group.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-08-05 02:32:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/377018", "https://ndownloader.figshare.com/files/377025", "https://ndownloader.figshare.com/files/377034", "https://ndownloader.figshare.com/files/377051", "https://ndownloader.figshare.com/files/377060"], "description"=>"<div><p>One of the most intriguing environmental gradients connected with variation in diversity is ecosystem productivity. The role of diversity in ecosystems is pivotal, because species richness can be both a cause and a consequence of primary production. However, the mechanisms behind the varying productivity-diversity relationships (PDR) remain poorly understood. Moreover, large-scale studies on PDR across taxa are urgently needed. Here, we examined the relationships between resource supply and phyto-, bacterio-, and zooplankton richness in 100 small boreal lakes. We studied the PDR locally within the drainage systems and regionally across the systems. Second, we studied the relationships between resource availability, species richness, biomass and resource ratio (N∶P) in phytoplankton communities using Structural Equation Modeling (SEM) for testing the multivariate hypothesis of PDR. At the local scale, the PDR showed variable patterns ranging from positive linear and unimodal to negative linear relationships for all planktonic groups. At the regional scale, PDRs were significantly linear and positive for phyto- and zooplankton. Phytoplankton richness and the amount of chlorophyll <em>a</em> showed a positive linear relationship indicating that communities consisting of higher number of species were able to produce higher levels of biomass. According to the SEM, phytoplankton biomass was largely related to resource availability, yet there was a pathway via community richness. Finally, we found that species richness at all trophic levels was correlated with several environmental factors, and was also related to richness at the other trophic levels. This study showed that the PDRs in freshwaters show scale-dependency. We also documented that the PDR complies with the multivariate model showing that plant biomass is not mirroring merely the resource availability, but is also influenced by richness. This highlights the need for conserving diversity in order to maintain ecosystem processes in freshwaters.</p> </div>", "links"=>[], "tags"=>["productivity-diversity", "relationships", "plankton", "communities"], "article_id"=>134474, "categories"=>["Inorganic Chemistry", "Ecology"], "users"=>["Jenni J. Korhonen", "Jianjun Wang", "Janne Soininen"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0022041.s001", "https://dx.doi.org/10.1371/journal.pone.0022041.s002", "https://dx.doi.org/10.1371/journal.pone.0022041.s003", "https://dx.doi.org/10.1371/journal.pone.0022041.s004", "https://dx.doi.org/10.1371/journal.pone.0022041.s005"], "stats"=>{"downloads"=>4, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Productivity_Diversity_Relationships_in_Lake_Plankton_Communities/134474", "title"=>"Productivity-Diversity Relationships in Lake Plankton Communities", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2011-08-05 01:14:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/748351"], "description"=>"<p>a) At small and large scale, the relationships between species richness and nutrient supply are predicted to be unimodal or linear, respectively. b) Biomass production first increases with species richness but saturates at high richness levels. c) The causal relationships between resource availability, species richness, biomass and resource ratio. Figure modified from Cardinale et al (8).</p>", "links"=>[], "tags"=>["conceptual"], "article_id"=>418725, "categories"=>["Inorganic Chemistry", "Ecology"], "users"=>["Jenni J. Korhonen", "Jianjun Wang", "Janne Soininen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022041.g001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_conceptual_figure_of_the_hypotheses_/418725", "title"=>"A conceptual figure of the hypotheses.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-08-05 02:25:25"}
  • {"files"=>["https://ndownloader.figshare.com/files/748687"], "description"=>"<p>SEM was conducted to test whether covariance among variables collected from 100 lakes could be produced by a covariance matrix set <i>a priori</i> (shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0022041#pone-0022041-g001\" target=\"_blank\">Fig. 1c</a>). The coefficients next to arrows represent the standard deviation change between variables. R<sup>2</sup> values indicate the amount of explained variation in species richness and phytoplankton biomass. The correlation between the resource supply and resource ratio (R) was −0.44. Dashed lines denote non-significant relationships.</p>", "links"=>[], "tags"=>["modeling", "phytoplankton"], "article_id"=>419062, "categories"=>["Inorganic Chemistry", "Ecology"], "users"=>["Jenni J. Korhonen", "Jianjun Wang", "Janne Soininen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022041.g005", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_results_of_a_Structural_Equation_Modeling_for_phytoplankton_data_with_5a_or_without_5b_best_model_selection_/419062", "title"=>"The results of a Structural Equation Modeling for phytoplankton data with (5a) or without (5b) best model selection.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-08-05 02:31:02"}
  • {"files"=>["https://ndownloader.figshare.com/files/748481"], "description"=>"<p>The relationships between log-transformed species richness and log total P (µg/l) in a) zooplankton, b) phytoplankton, and c) bacterioplankton data sets (n = 100).</p>", "links"=>[], "tags"=>["relationships", "log-transformed", "richness", "bacterioplankton", "sets"], "article_id"=>418852, "categories"=>["Inorganic Chemistry", "Ecology"], "users"=>["Jenni J. Korhonen", "Jianjun Wang", "Janne Soininen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022041.g003", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_relationships_between_log_transformed_species_richness_and_log_total_P_181_g_l_in_a_zooplankton_b_phytoplankton_and_c_bacterioplankton_data_sets_n_8202_8202_100_/418852", "title"=>"The relationships between log-transformed species richness and log total P (µg/l) in a) zooplankton, b) phytoplankton, and c) bacterioplankton data sets (n = 100).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-08-05 02:27:32"}

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