How to make more out of community data? A conceptual framework and its implementation as models and software

Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities...

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Published in	Ecology letters Vol. 20; no. 5; pp. 561 - 576
Main Authors	Ovaskainen, Otso, Tikhonov, Gleb, Norberg, Anna, Guillaume Blanchet, F., Duan, Leo, Dunson, David, Roslin, Tomas, Abrego, Nerea, Chave, Jerome
Format	Journal Article
Language	English
Published	England Blackwell Publishing Ltd 01.05.2017
Subjects	Assembly Assembly process Bayes Theorem Bayesian analysis Biodiversity biogeography biotic filtering Communities community distribution Community ecology community modelling community similarity computer software data collection Data processing Ecological monitoring Ecology Ecosystem Ekologi environmental filtering Filtration functional trait Integration joint species distribution model Mathematical models metacommunity Models, Theoretical phylogenetic signal Phylogeny Software Spatial distribution Species statistical analysis time series analysis functional trait biotic filtering joint species distribution model Assembly process community modelling community similarity environmental filtering metacommunity community distribution phylogenetic signal
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Abstract	Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities (HMSC) as a general, flexible framework for modern analysis of community data. While non‐manipulative data allow for only correlative and not causal inference, this framework facilitates the formulation of data‐driven hypotheses regarding the processes that structure communities. We model environmental filtering by variation and covariation in the responses of individual species to the characteristics of their environment, with potential contingencies on species traits and phylogenetic relationships. We capture biotic assembly rules by species‐to‐species association matrices, which may be estimated at multiple spatial or temporal scales. We operationalise the HMSC framework as a hierarchical Bayesian joint species distribution model, and implement it as R‐ and Matlab‐packages which enable computationally efficient analyses of large data sets. Armed with this tool, community ecologists can make sense of many types of data, including spatially explicit data and time‐series data. We illustrate the use of this framework through a series of diverse ecological examples.
AbstractList	Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities (HMSC) as a general, flexible framework for modern analysis of community data. While non-manipulative data allow for only correlative and not causal inference, this framework facilitates the formulation of data-driven hypotheses regarding the processes that structure communities. We model environmental filtering by variation and covariation in the responses of individual species to the characteristics of their environment, with potential contingencies on species traits and phylogenetic relationships. We capture biotic assembly rules by species-to-species association matrices, which may be estimated at multiple spatial or temporal scales. We operationalise the HMSC framework as a hierarchical Bayesian joint species distribution model, and implement it as R- and Matlab-packages which enable computationally efficient analyses of large data sets. Armed with this tool, community ecologists can make sense of many types of data, including spatially explicit data and time-series data. We illustrate the use of this framework through a series of diverse ecological examples. Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities ( HMSC ) as a general, flexible framework for modern analysis of community data. While non‐manipulative data allow for only correlative and not causal inference, this framework facilitates the formulation of data‐driven hypotheses regarding the processes that structure communities. We model environmental filtering by variation and covariation in the responses of individual species to the characteristics of their environment, with potential contingencies on species traits and phylogenetic relationships. We capture biotic assembly rules by species‐to‐species association matrices, which may be estimated at multiple spatial or temporal scales. We operationalise the HMSC framework as a hierarchical Bayesian joint species distribution model, and implement it as R‐ and Matlab‐packages which enable computationally efficient analyses of large data sets. Armed with this tool, community ecologists can make sense of many types of data, including spatially explicit data and time‐series data. We illustrate the use of this framework through a series of diverse ecological examples. Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities (HMSC) as a general, flexible framework for modern analysis of community data. While non-manipulative data allow for only correlative and not causal inference, this framework facilitates the formulation of data-driven hypotheses regarding the processes that structure communities. We model environmental filtering by variation and covariation in the responses of individual species to the characteristics of their environment, with potential contingencies on species traits and phylogenetic relationships. We capture biotic assembly rules by species-to-species association matrices, which may be estimated at multiple spatial or temporal scales. We operationalise the HMSC framework as a hierarchical Bayesian joint species distribution model, and implement it as R- and Matlab-packages which enable computationally efficient analyses of large data sets. Armed with this tool, community ecologists can make sense of many types of data, including spatially explicit data and time-series data. We illustrate the use of this framework through a series of diverse ecological examples.Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities (HMSC) as a general, flexible framework for modern analysis of community data. While non-manipulative data allow for only correlative and not causal inference, this framework facilitates the formulation of data-driven hypotheses regarding the processes that structure communities. We model environmental filtering by variation and covariation in the responses of individual species to the characteristics of their environment, with potential contingencies on species traits and phylogenetic relationships. We capture biotic assembly rules by species-to-species association matrices, which may be estimated at multiple spatial or temporal scales. We operationalise the HMSC framework as a hierarchical Bayesian joint species distribution model, and implement it as R- and Matlab-packages which enable computationally efficient analyses of large data sets. Armed with this tool, community ecologists can make sense of many types of data, including spatially explicit data and time-series data. We illustrate the use of this framework through a series of diverse ecological examples.
Author	Duan, Leo Chave, Jerome Guillaume Blanchet, F. Tikhonov, Gleb Norberg, Anna Dunson, David Abrego, Nerea Ovaskainen, Otso Roslin, Tomas
Author_xml	– sequence: 1 givenname: Otso surname: Ovaskainen fullname: Ovaskainen, Otso email: otso.ovaskainen@helsinki.fi organization: Norwegian University of Science and Technology – sequence: 2 givenname: Gleb surname: Tikhonov fullname: Tikhonov, Gleb organization: University of Helsinki – sequence: 3 givenname: Anna surname: Norberg fullname: Norberg, Anna organization: University of Helsinki – sequence: 4 givenname: F. surname: Guillaume Blanchet fullname: Guillaume Blanchet, F. organization: 2500 Boulevard Université Sherbrooke – sequence: 5 givenname: Leo surname: Duan fullname: Duan, Leo organization: Duke University – sequence: 6 givenname: David surname: Dunson fullname: Dunson, David organization: Duke University – sequence: 7 givenname: Tomas surname: Roslin fullname: Roslin, Tomas organization: Swedish University of Agricultural Sciences – sequence: 8 givenname: Nerea surname: Abrego fullname: Abrego, Nerea organization: University of Helsinki – sequence: 9 givenname: Jerome surname: Chave fullname: Chave, Jerome
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/28317296$$D View this record in MEDLINE/PubMed https://res.slu.se/id/publ/84408$$DView record from Swedish Publication Index
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Cites_doi	10.1111/j.1558-5646.2008.00482.x 10.1111/j.1365-2699.2011.02663.x 10.1016/j.tree.2016.07.007 10.1016/j.tree.2011.04.009 10.1111/j.1461-0248.2005.00868.x 10.1016/j.tree.2011.01.009 10.1890/0012-9658(1997)078[1958:CAFASA]2.0.CO;2 10.1111/j.1461-0248.2004.00608.x 10.1111/2041-210X.12501 10.1111/ele.12189 10.1111/j.2041-210X.2012.00190.x 10.1093/oso/9780198546412.001.0001 10.1111/een.12048 10.1111/geb.12464 10.1890/08-1105.1 10.1890/10-1251.1 10.1038/nature16942 10.1111/2041-210X.12723 10.1016/j.tree.2015.09.007 10.1016/S0169-5347(97)01096-3 10.1038/ismej.2011.24 10.1126/science.1215320 10.1371/journal.pcbi.1002687 10.1038/35012251 10.1111/2041-210X.12163 10.1016/j.tree.2006.02.002 10.1111/geb.12102 10.1111/j.1365-2699.2011.02550.x 10.1073/pnas.0403458101 10.1111/j.0906-7590.2007.04817.x 10.1111/j.1461-0248.2006.00884.x 10.2307/3565355 10.1038/ismej.2015.235 10.1111/2041-210X.12352 10.1111/j.1469-185X.2011.00187.x 10.1002/env.2245 10.2307/2256278 10.1086/688098 10.1111/1365-2435.12345 10.1111/1365-2745.12062 10.1098/rstb.2011.0056 10.1086/285705 10.1111/j.1365-2656.2010.01688.x 10.1002/ecm.1241 10.1111/oik.01719 10.1038/nclimate2448 10.1890/0012-9658(2006)87[1399:COTNAN]2.0.CO;2 10.1086/652373 10.1198/tast.2009.08210 10.1890/0012-9658(2003)084[1101:CTAESO]2.0.CO;2 10.1146/annurev.ecolsys.36.091704.175535 10.1046/j.1365-2435.2002.00664.x 10.1111/2041-210X.12359 10.2307/5503 10.1890/11-1183.1 10.1111/2041-210X.12502 10.1016/j.csda.2013.05.013 10.1016/j.tree.2015.03.014 10.1146/annurev-ecolsys-120213-091759 10.1098/rstb.2011.0063 10.1038/nature02394 10.1098/rspb.2009.0523 10.2326/osj.1.41 10.1371/journal.pone.0093786 10.1111/j.1461-0248.2005.00792.x 10.1098/rspb.2013.2728 10.1017/CBO9780511623332 10.1890/05-0549 10.1016/S0065-2504(08)60183-X 10.1111/j.1600-0587.2011.07181.x 10.1111/j.1469-185X.2012.00235.x 10.1890/1540-9295(2007)5[145:FKGIPA]2.0.CO;2 10.1016/j.foreco.2007.09.016 10.2307/3546962 10.1098/rspb.2010.0244 10.1111/j.1600-0587.2013.00643.x 10.1111/ecog.02445 10.1111/oik.03674 10.1111/j.1600-0587.2011.07085.x 10.1890/0012-9658(1997)078[0547:RBTHST]2.0.CO;2 10.1007/s11258-014-0366-3 10.1111/2041-210X.12180 10.1016/j.tree.2007.01.014 10.1089/cmb.2016.0061 10.1111/2041-210X.12236 10.1111/j.1365-2656.2010.01744.x 10.1016/j.tree.2016.07.009 10.1111/1365‐2745.12722 10.1111/j.1461-0248.2011.01722.x 10.1146/annurev.ecolsys.110308.120159
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PublicationTitle	Ecology letters
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References	2017; 84 2017; 40 2002; 16 2009; 40 1990; 58 2013; 24 2004; 7 2015; 30 2012; 281 2016; 31 2009; 276 1998; 82 2012; 15 2007; 30 2014; 23 2016a; 7 2011; 366 1994; 144 2014; 5 2013; 16 2017a 1936; 24 2006; 21 2000; 405 2010; 277 1997; 12 1986 2005; 75 2007; 5 1982 2011; 26 2014; 281 2014; 9 2012; 335 2008; 62 2003; 84 2007; 22 2016b; 7 2015b; 30 2005; 36 2004; 101 2012; 82 2015; 6 2009; 63 2015; 5 2010; 79 1988; 18 2013; 88 2010 2015; 124 2011; 80 2006; 9 2002; 1 2013; 101 2016; 10 2017b; 126 2005 2012; 39 2004 2015a; 216 1991 2016; 91 2004; 428 2011; 38 2012; 35 2011; 5 2014; 45 2010; 85 2012; 3 2013; 38 2015; 29 2000; 37 2006; 87 2005; 8 2011; 92 1997; 78 2014; 37 2017 2016 2016; 532 2008; 255 2010; 91 2014; 71 2012; 87 2016; 25 1992; 61 2016; 23 2012; 8 1966 Holyoak M. (e_1_2_7_43_1) 2005 e_1_2_7_3_1 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_60_1 e_1_2_7_83_1 e_1_2_7_100_1 e_1_2_7_15_1 e_1_2_7_64_1 e_1_2_7_87_1 e_1_2_7_11_1 e_1_2_7_45_1 e_1_2_7_68_1 e_1_2_7_49_1 Hanski I. (e_1_2_7_40_1) 2000; 37 e_1_2_7_90_1 e_1_2_7_94_1 Legendre P. (e_1_2_7_51_1) 2012 e_1_2_7_71_1 e_1_2_7_52_1 e_1_2_7_98_1 e_1_2_7_23_1 e_1_2_7_33_1 e_1_2_7_75_1 e_1_2_7_56_1 e_1_2_7_37_1 e_1_2_7_79_1 e_1_2_7_4_1 Smith R.L. (e_1_2_7_78_1) 1966 e_1_2_7_16_1 e_1_2_7_82_1 e_1_2_7_63_1 e_1_2_7_12_1 e_1_2_7_44_1 e_1_2_7_86_1 e_1_2_7_67_1 e_1_2_7_48_1 e_1_2_7_29_1 Begon M. (e_1_2_7_8_1) 1986 e_1_2_7_70_1 e_1_2_7_93_1 e_1_2_7_24_1 e_1_2_7_32_1 e_1_2_7_55_1 e_1_2_7_74_1 e_1_2_7_97_1 e_1_2_7_20_1 e_1_2_7_36_1 e_1_2_7_59_1 e_1_2_7_5_1 e_1_2_7_9_1 e_1_2_7_62_1 e_1_2_7_81_1 e_1_2_7_13_1 e_1_2_7_66_1 e_1_2_7_85_1 e_1_2_7_47_1 e_1_2_7_89_1 e_1_2_7_28_1 Harvey P.H. (e_1_2_7_41_1) 1991 Garnier E. (e_1_2_7_31_1) 2016 Magurran A.E. (e_1_2_7_57_1) 2004 e_1_2_7_73_1 e_1_2_7_50_1 e_1_2_7_92_1 e_1_2_7_25_1 e_1_2_7_77_1 e_1_2_7_54_1 e_1_2_7_96_1 e_1_2_7_21_1 e_1_2_7_35_1 e_1_2_7_58_1 e_1_2_7_39_1 e_1_2_7_6_1 Caro T.M. (e_1_2_7_17_1) 2010 e_1_2_7_80_1 e_1_2_7_18_1 e_1_2_7_84_1 e_1_2_7_61_1 e_1_2_7_2_1 e_1_2_7_14_1 e_1_2_7_42_1 e_1_2_7_88_1 e_1_2_7_65_1 e_1_2_7_10_1 e_1_2_7_46_1 e_1_2_7_69_1 e_1_2_7_27_1 Elton C. (e_1_2_7_26_1) 1966 e_1_2_7_91_1 e_1_2_7_72_1 e_1_2_7_95_1 e_1_2_7_30_1 e_1_2_7_53_1 e_1_2_7_76_1 e_1_2_7_99_1 e_1_2_7_22_1 e_1_2_7_34_1 e_1_2_7_38_1
References_xml	– volume: 75 start-page: 435 year: 2005 end-page: 450 article-title: Analyzing beta diversity: partitioning the spatial variation of community composition data publication-title: Ecol. Monogr. – volume: 91 start-page: 1152 year: 2010 end-page: 1162 article-title: Niche differentiation and neutral theory: an integrated perspective on shrub assemblages in a parkland savanna publication-title: Ecology – start-page: 94 year: 2016 end-page: 118 – volume: 26 start-page: 482 year: 2011 end-page: 491 article-title: Empirical approaches to metacommunities: a review and comparison with theory publication-title: Trends Ecol. Evol. – volume: 144 start-page: 741 year: 1994 end-page: 771 article-title: Simple rules for interspecific dominance in systems with exploitative and apparent competition publication-title: Am. Nat. – volume: 405 start-page: 243 year: 2000 end-page: 253 article-title: Systematic conservation planning publication-title: Nature – year: 1966 – year: 2005 – volume: 25 start-page: 1144 year: 2016 end-page: 1158 article-title: Joint dynamic species distribution models: a tool for community ordination and spatio‐temporal monitoring publication-title: Global Ecol. Biogeogr. – volume: 71 start-page: 241 year: 2014 end-page: 261 article-title: Multivariate methods using mixtures: correspondence analysis, scaling and pattern‐detection publication-title: Comput. Stat. Data Anal. – volume: 62 start-page: 2868 year: 2008 end-page: 2883 article-title: Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution publication-title: Evolution – volume: 82 start-page: 223 year: 1998 end-page: 237 article-title: Is ‘life‐form’ a useful concept in bryophyte ecology? publication-title: Oikos – volume: 24 start-page: 489 year: 2013 end-page: 499 article-title: Modelling biological regions from multi‐species and environmental data publication-title: Environmetrics – volume: 21 start-page: 178 year: 2006 end-page: 185 article-title: Rebuilding community ecology from functional traits publication-title: Trends Ecol. Evol. – volume: 16 start-page: 545 year: 2002 end-page: 556 article-title: Predicting changes in community composition and ecosystem functioning from plant traits: revisiting the holy grail publication-title: Funct. Ecol. – volume: 5 start-page: 344 year: 2014 end-page: 352 article-title: The fourth‐corner solution ‐ using predictive models to understand how species traits interact with the environment publication-title: Methods Ecol. Evol. – volume: 7 start-page: 428 year: 2016b end-page: 436 article-title: Uncovering hidden spatial structure in species communities with spatially explicit joint species distribution models publication-title: Methods Ecol. Evol. – volume: 9 start-page: 281 year: 2006 end-page: 286 article-title: Habitat loss and the structure of plant‐animal mutualistic networks publication-title: Ecol. Lett. – year: 1986 – volume: 5 start-page: 215 year: 2015 end-page: 224 article-title: Assessing species vulnerability to climate change publication-title: Nature Clim. Change – volume: 84 start-page: 34 year: 2017 end-page: 56 article-title: Generalized joint attribute modeling for biodiversity analysis: median‐zero, multivariate, multifarious data publication-title: Ecol. Monogr. – volume: 26 start-page: 183 year: 2011 end-page: 192 article-title: Why intraspecific trait variation matters in community ecology publication-title: Trends Ecol. Evol. – volume: 35 start-page: 716 year: 2012 end-page: 725 article-title: The role of functional traits in species distributions revealed through a hierarchical model publication-title: Ecography – volume: 87 start-page: 111 year: 2012 end-page: 127 article-title: Ecological assembly rules in plant communities‐approaches, patterns and prospects publication-title: Biol. Rev. – volume: 37 start-page: 271 year: 2000 end-page: 280 article-title: Extinction debt and species credit in boreal forests: modelling the consequences of different approaches to biodiversity conservation publication-title: Ann. Zool. Fenn. – volume: 91 start-page: 321 year: 2016 end-page: 342 article-title: From the neutral theory to a comprehensive and multiscale theory of ecological equivalence publication-title: Q. Rev. Biol. – volume: 3 start-page: 471 year: 2012 end-page: 474 article-title: mvabund ‐ an R package for model‐based analysis of multivariate abundance data publication-title: Methods Ecol. Evol. – year: 2017 article-title: Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context publication-title: Methods Ecol. Evol. – volume: 31 start-page: 736 year: 2016 end-page: 737 article-title: Incorporating imperfect detection into joint models of communities: a response to Warton et al publication-title: Trends Ecol. Evol. – volume: 92 start-page: 289 year: 2011 end-page: 295 article-title: Making more out of sparse data: hierarchical modeling of species communities publication-title: Ecology – volume: 255 start-page: 1 year: 2008 end-page: 15 article-title: For what, when, and where is green‐tree retention better than clear‐cutting? A review of the biodiversity aspects publication-title: For. Ecol. Manage. – volume: 24 start-page: 252 year: 1936 end-page: 284 article-title: Nature and structure of the climax publication-title: J. Ecol. – volume: 36 start-page: 419 year: 2005 end-page: 444 article-title: Measurement of interaction strength in nature publication-title: Annu. Rev. Ecol. Evol. Syst. – volume: 39 start-page: 2163 year: 2012 end-page: 2178 article-title: Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents publication-title: J. Biogeogr. – volume: 366 start-page: 2403 year: 2011 end-page: 2413 article-title: Advances, challenges and a developing synthesis of ecological community assembly theory publication-title: Philos. Trans. R. Soc. Lond. B Biol. Sci. – volume: 58 start-page: 3 year: 1990 end-page: 15 article-title: Constraints and tradeoffs: toward a predictive theory of competition and succession publication-title: Oikos – volume: 22 start-page: 250 year: 2007 end-page: 257 article-title: An emerging synthesis between community ecology and evolutionary biology publication-title: Trends Ecol. Evol. – volume: 8 start-page: 993 year: 2005 end-page: 1009 article-title: Predicting species distribution: offering more than simple habitat models publication-title: Ecol. Lett. – year: 2010 – volume: 532 start-page: 465 year: 2016 end-page: 470 article-title: Plankton networks driving carbon export in the oligotrophic ocean publication-title: Nature – volume: 88 start-page: 15 year: 2013 end-page: 30 article-title: The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling publication-title: Biol. Rev. – volume: 30 start-page: 3 year: 2007 end-page: 12 article-title: The distance decay of similarity in ecological communities publication-title: Ecography – volume: 31 start-page: 737 year: 2016 end-page: 738 article-title: Extending joint models in community ecology: a response to Beissinger et al publication-title: Trends Ecol. Evol. – volume: 15 start-page: 133 year: 2012 end-page: 141 article-title: Do assembly history effects attenuate from species to ecosystem properties? A field test with wood‐inhabiting fungi publication-title: Ecol. Lett. – volume: 63 start-page: 366 year: 2009 end-page: 372 article-title: Coefficients of determination in logistic regression models—A new proposal: the coefficient of discrimination publication-title: Am. Stat. – volume: 18 start-page: 271 year: 1988 end-page: 317 article-title: A theory of gradient analysis publication-title: Adv. Ecol. Res. – volume: 78 start-page: 1958 year: 1997 end-page: 1965 article-title: Competition and facilitation: a synthetic approach to interactions in plant communities publication-title: Ecology – volume: 23 start-page: 526 year: 2016 end-page: 535 article-title: Learning microbial interaction networks from metagenomic count data publication-title: J. Comput. Biol. – volume: 366 start-page: 2351 year: 2011 end-page: 2363 article-title: Disentangling the importance of ecological niches from stochastic processes across scales publication-title: Philos. Trans. R. Soc. Lond. B Biol. Sci. – volume: 101 start-page: 753 year: 2013 end-page: 762 article-title: Variability in functional traits mediates plant interactions along stress gradients publication-title: J. Ecol. – volume: 37 start-page: 406 year: 2014 end-page: 415 article-title: The geographic scaling of biotic interactions publication-title: Ecography – volume: 40 start-page: 677 year: 2009 end-page: 697 article-title: Species distribution models: ecological explanation and prediction across space and time publication-title: Annu. Rev. Ecol. Evol. Syst. – volume: 6 start-page: 366 year: 2015 end-page: 379 article-title: Point process models for presence‐only analysis publication-title: Methods Ecol. Evol. – volume: 80 start-page: 108 year: 2011 end-page: 118 article-title: Can we predict indirect interactions from quantitative food webs? ‐ an experimental approach publication-title: J. Anim. Ecol. – volume: 23 start-page: 99 year: 2014 end-page: 112 article-title: Stacking species distribution models and adjusting bias by linking them to macroecological models publication-title: Global Ecol. Biogeogr. – volume: 281 start-page: 20132728 year: 2014 article-title: Statistical methods for temporal and space–time analysis of community composition data publication-title: Proc. R. Soc. Lond. B Biol. Sci. – volume: 6 start-page: 399 year: 2015 end-page: 411 article-title: Model‐based approaches to unconstrained ordination publication-title: Methods Ecol. Evol. – volume: 10 start-page: 1669 year: 2016 end-page: 1681 article-title: Correlation detection strategies in microbial data sets vary widely in sensitivity and precision publication-title: ISME J. – volume: 35 start-page: 821 year: 2012 end-page: 830 article-title: Change in community phylogenetic structure during tropical forest succession: evidence from new guinea publication-title: Ecography – volume: 277 start-page: 2983 year: 2010 end-page: 2990 article-title: Testing the heterospecific attraction hypothesis with time‐series data on species co‐occurrence publication-title: Proc. R. Soc. Lond. B Biol. Sci. – volume: 9 start-page: 399 year: 2006 end-page: 409 article-title: Reconciling niche and neutrality: the continuum hypothesis publication-title: Ecol. Lett. – volume: 7 start-page: 549 year: 2016a end-page: 555 article-title: Using latent variable models to identify large networks of species‐to‐species associations at different spatial scales publication-title: Methods Ecol. Evol. – volume: 84 start-page: 1101 year: 2003 end-page: 1114 article-title: Connecting theoretical and empirical studies of trait‐mediated interactions publication-title: Ecology – volume: 45 start-page: 45 year: 2014 end-page: 67 article-title: What are species pools and when are they important? publication-title: Annu. Rev. Ecol. Evol. Syst. – volume: 38 start-page: 1433 year: 2011 end-page: 1444 article-title: SESAM ‐ a new framework integrating macroecological and species distribution models for predicting spatio‐temporal patterns of species assemblages publication-title: J. Biogeogr. – year: 1982 – volume: 101 start-page: 10854 year: 2004 end-page: 10861 article-title: Niche tradeoffs, neutrality, and community structure: a stochastic theory of resource competition, invasion, and community assembly publication-title: Proc. Natl Acad. Sci. USA – volume: 335 start-page: 1486 year: 2012 end-page: 1489 article-title: Specialization and rarity predict nonrandom loss of interactions from mutualist networks publication-title: Science – volume: 5 start-page: 397 year: 2014 end-page: 406 article-title: Understanding co‐occurrence by modelling species simultaneously with a joint species distribution model (JSDM) publication-title: Methods Ecol. Evol. – volume: 29 start-page: 592 year: 2015 end-page: 599 article-title: Community assembly, coexistence and the environmental filtering metaphor publication-title: Funct. Ecol. – volume: 1 start-page: 41 year: 2002 end-page: 51 article-title: Heterospecific attraction among forest birds: a review publication-title: Ornithol. Sci. – year: 2004 – volume: 7 start-page: 601 year: 2004 end-page: 613 article-title: The metacommunity concept: a framework for multi‐scale community ecology publication-title: Ecol. Lett. – volume: 9 start-page: e93786 year: 2014 article-title: Bryophyte species richness on retention aspens recovers in time but community structure does not publication-title: PLoS ONE – volume: 6 start-page: 627 year: 2015 end-page: 637 article-title: Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range publication-title: Methods Ecol. Evol. – volume: 8 start-page: 1 year: 2012 end-page: 11 article-title: Inferring correlation networks from genomic survey data publication-title: PLoS Comput. Biol. – volume: 38 start-page: 522 year: 2013 end-page: 530 article-title: Apparent competition leaves no detectable imprint on patterns of community composition: observations from a natural experiment publication-title: Ecol. Entomol. – volume: 40 start-page: 281 year: 2017 end-page: 295 article-title: Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities publication-title: Ecography – volume: 216 start-page: 669 year: 2015a end-page: 682 article-title: Model‐based thinking for community ecology publication-title: Plant Ecol. – volume: 281 start-page: 20132728 year: 2012 – year: 2017a article-title: Measuring and predicting the influence of traits on the assembly processes of wood‐inhabiting fungi publication-title: J. Ecol. – volume: 78 start-page: 547 year: 1997 end-page: 562 article-title: Relating behavior to habitat: solutions to the fourth‐corner problem publication-title: Ecology – volume: 276 start-page: 2923 year: 2009 end-page: 2929 article-title: What drives community dynamics? publication-title: Proc. R. Soc. Lond. B Biol. Sci. – volume: 5 start-page: 1414 year: 2011 end-page: 1425 article-title: Marine bacterial, archaeal and protistan association networks reveal ecological linkages publication-title: ISME J. – volume: 82 start-page: 257 year: 2012 end-page: 275 article-title: Community ecology in the age of multivariate multiscale spatial analysis publication-title: Ecol. Monogr. – volume: 30 start-page: 766 year: 2015b end-page: 779 article-title: So many variables: joint modeling in community ecology publication-title: Trends Ecol. Evol. – volume: 126 start-page: 269 year: 2017b end-page: 275 article-title: Wood‐inhabiting fungi with tight associations with other species have declined as a response to forest management publication-title: Oikos – volume: 12 start-page: 266 year: 1997 end-page: 269 article-title: The relative of species pools in determining plant species richness: an alternative explanation of species coexistence? publication-title: Trends Ecol. Evol. – volume: 79 start-page: 811 year: 2010 end-page: 817 article-title: Nestedness versus modularity in ecological networks: two sides of the same coin? publication-title: J. Anim. Ecol. – volume: 30 start-page: 347 year: 2015 end-page: 356 article-title: Inferring biotic interactions from proxies publication-title: Trends Ecol. Evol. – volume: 124 start-page: 243 year: 2015 end-page: 251 article-title: Beyond species: why ecological interaction networks vary through space and time publication-title: Oikos – volume: 85 start-page: 183 year: 2010 end-page: 206 article-title: Conceptual synthesis in community ecology publication-title: Q. Rev. Biol. – volume: 87 start-page: 1399 year: 2006 end-page: 1410 article-title: Coexistence of the niche and neutral perspectives in community ecology publication-title: Ecology – volume: 61 start-page: 1 year: 1992 end-page: 12 article-title: Species interactions, local and regional processes, and limits to the richness of ecological communities: a theoretical perspective publication-title: J. Anim. Ecol. – volume: 16 start-page: 1424 year: 2013 end-page: 1435 article-title: Predicting species distributions for conservation decisions publication-title: Ecol. Lett. – volume: 5 start-page: 145 year: 2007 end-page: 152 article-title: Filling key gaps in population and community ecology publication-title: Front. Ecol. Env. – year: 1991 – volume: 428 start-page: 310 year: 2004 end-page: 313 article-title: Experimental evidence for apparent competition in a tropical forest food web publication-title: Nature – ident: e_1_2_7_91_1 doi: 10.1111/j.1558-5646.2008.00482.x – ident: e_1_2_7_47_1 doi: 10.1111/j.1365-2699.2011.02663.x – ident: e_1_2_7_94_1 doi: 10.1016/j.tree.2016.07.007 – ident: e_1_2_7_56_1 doi: 10.1016/j.tree.2011.04.009 – ident: e_1_2_7_27_1 doi: 10.1111/j.1461-0248.2005.00868.x – start-page: 94 volume-title: Plant Functional Diversity: organisms Traits, Community Structure and Ecosystem Properties year: 2016 ident: e_1_2_7_31_1 – ident: e_1_2_7_12_1 doi: 10.1016/j.tree.2011.01.009 – ident: e_1_2_7_16_1 doi: 10.1890/0012-9658(1997)078[1958:CAFASA]2.0.CO;2 – ident: e_1_2_7_55_1 doi: 10.1111/j.1461-0248.2004.00608.x – ident: e_1_2_7_67_1 doi: 10.1111/2041-210X.12501 – ident: e_1_2_7_39_1 doi: 10.1111/ele.12189 – ident: e_1_2_7_90_1 doi: 10.1111/j.2041-210X.2012.00190.x – volume-title: The Comparative Method in Evolutionary Biology year: 1991 ident: e_1_2_7_41_1 doi: 10.1093/oso/9780198546412.001.0001 – ident: e_1_2_7_46_1 doi: 10.1111/een.12048 – ident: e_1_2_7_84_1 doi: 10.1111/geb.12464 – ident: e_1_2_7_81_1 doi: 10.1890/08-1105.1 – ident: e_1_2_7_66_1 doi: 10.1890/10-1251.1 – ident: e_1_2_7_35_1 doi: 10.1038/nature16942 – volume-title: Ecology and Field Biology year: 1966 ident: e_1_2_7_78_1 – ident: e_1_2_7_85_1 doi: 10.1111/2041-210X.12723 – ident: e_1_2_7_93_1 doi: 10.1016/j.tree.2015.09.007 – ident: e_1_2_7_100_1 doi: 10.1016/S0169-5347(97)01096-3 – ident: e_1_2_7_80_1 doi: 10.1038/ismej.2011.24 – ident: e_1_2_7_5_1 doi: 10.1126/science.1215320 – start-page: 20132728 volume-title: Numerical Ecology year: 2012 ident: e_1_2_7_51_1 – ident: e_1_2_7_30_1 doi: 10.1371/journal.pcbi.1002687 – ident: e_1_2_7_58_1 doi: 10.1038/35012251 – ident: e_1_2_7_14_1 doi: 10.1111/2041-210X.12163 – ident: e_1_2_7_59_1 doi: 10.1016/j.tree.2006.02.002 – ident: e_1_2_7_15_1 doi: 10.1111/geb.12102 – ident: e_1_2_7_37_1 doi: 10.1111/j.1365-2699.2011.02550.x – ident: e_1_2_7_87_1 doi: 10.1073/pnas.0403458101 – ident: e_1_2_7_79_1 doi: 10.1111/j.0906-7590.2007.04817.x – ident: e_1_2_7_34_1 doi: 10.1111/j.1461-0248.2006.00884.x – ident: e_1_2_7_86_1 doi: 10.2307/3565355 – ident: e_1_2_7_96_1 doi: 10.1038/ismej.2015.235 – ident: e_1_2_7_74_1 doi: 10.1111/2041-210X.12352 – ident: e_1_2_7_33_1 doi: 10.1111/j.1469-185X.2011.00187.x – ident: e_1_2_7_29_1 doi: 10.1002/env.2245 – ident: e_1_2_7_20_1 doi: 10.2307/2256278 – volume-title: Measuring Biological Diversity year: 2004 ident: e_1_2_7_57_1 – ident: e_1_2_7_63_1 doi: 10.1086/688098 – ident: e_1_2_7_48_1 doi: 10.1111/1365-2435.12345 – volume-title: Metacommunities: Spatial Dynamics and Ecological Communities year: 2005 ident: e_1_2_7_43_1 – ident: e_1_2_7_76_1 doi: 10.1111/1365-2745.12062 – ident: e_1_2_7_95_1 doi: 10.1098/rstb.2011.0056 – ident: e_1_2_7_42_1 doi: 10.1086/285705 – volume-title: Conservation by Proxy: indicator, Umbrella, Keystone, Flagship, and Other Surrogate Species year: 2010 ident: e_1_2_7_17_1 – ident: e_1_2_7_28_1 doi: 10.1111/j.1365-2656.2010.01688.x – ident: e_1_2_7_19_1 doi: 10.1002/ecm.1241 – ident: e_1_2_7_71_1 doi: 10.1111/oik.01719 – ident: e_1_2_7_69_1 doi: 10.1038/nclimate2448 – ident: e_1_2_7_54_1 doi: 10.1890/0012-9658(2006)87[1399:COTNAN]2.0.CO;2 – volume-title: Ecology: Individuals, Populations and Communities year: 1986 ident: e_1_2_7_8_1 – ident: e_1_2_7_89_1 doi: 10.1086/652373 – ident: e_1_2_7_88_1 doi: 10.1198/tast.2009.08210 – ident: e_1_2_7_11_1 doi: 10.1890/0012-9658(2003)084[1101:CTAESO]2.0.CO;2 – ident: e_1_2_7_99_1 doi: 10.1146/annurev.ecolsys.36.091704.175535 – ident: e_1_2_7_49_1 doi: 10.1046/j.1365-2435.2002.00664.x – ident: e_1_2_7_83_1 doi: 10.1111/2041-210X.12359 – ident: e_1_2_7_22_1 doi: 10.2307/5503 – ident: e_1_2_7_24_1 doi: 10.1890/11-1183.1 – ident: e_1_2_7_68_1 doi: 10.1111/2041-210X.12502 – ident: e_1_2_7_70_1 doi: 10.1016/j.csda.2013.05.013 – ident: e_1_2_7_61_1 doi: 10.1016/j.tree.2015.03.014 – volume-title: The Patterns of Animal Communities year: 1966 ident: e_1_2_7_26_1 – ident: e_1_2_7_21_1 doi: 10.1146/annurev-ecolsys-120213-091759 – ident: e_1_2_7_18_1 doi: 10.1098/rstb.2011.0063 – ident: e_1_2_7_62_1 doi: 10.1038/nature02394 – ident: e_1_2_7_64_1 doi: 10.1098/rspb.2009.0523 – ident: e_1_2_7_60_1 doi: 10.2326/osj.1.41 – ident: e_1_2_7_65_1 doi: 10.1371/journal.pone.0093786 – ident: e_1_2_7_38_1 doi: 10.1111/j.1461-0248.2005.00792.x – ident: e_1_2_7_50_1 doi: 10.1098/rspb.2013.2728 – ident: e_1_2_7_32_1 doi: 10.1017/CBO9780511623332 – volume: 37 start-page: 271 year: 2000 ident: e_1_2_7_40_1 article-title: Extinction debt and species credit in boreal forests: modelling the consequences of different approaches to biodiversity conservation publication-title: Ann. Zool. Fenn. – ident: e_1_2_7_53_1 doi: 10.1890/05-0549 – ident: e_1_2_7_13_1 doi: 10.1016/S0065-2504(08)60183-X – ident: e_1_2_7_97_1 doi: 10.1111/j.1600-0587.2011.07181.x – ident: e_1_2_7_98_1 doi: 10.1111/j.1469-185X.2012.00235.x – ident: e_1_2_7_4_1 doi: 10.1890/1540-9295(2007)5[145:FKGIPA]2.0.CO;2 – ident: e_1_2_7_75_1 doi: 10.1016/j.foreco.2007.09.016 – ident: e_1_2_7_7_1 doi: 10.2307/3546962 – ident: e_1_2_7_77_1 doi: 10.1098/rspb.2010.0244 – ident: e_1_2_7_6_1 doi: 10.1111/j.1600-0587.2013.00643.x – ident: e_1_2_7_36_1 doi: 10.1111/ecog.02445 – ident: e_1_2_7_3_1 doi: 10.1111/oik.03674 – ident: e_1_2_7_72_1 doi: 10.1111/j.1600-0587.2011.07085.x – ident: e_1_2_7_52_1 doi: 10.1890/0012-9658(1997)078[0547:RBTHST]2.0.CO;2 – ident: e_1_2_7_92_1 doi: 10.1007/s11258-014-0366-3 – ident: e_1_2_7_73_1 doi: 10.1111/2041-210X.12180 – ident: e_1_2_7_45_1 doi: 10.1016/j.tree.2007.01.014 – ident: e_1_2_7_10_1 doi: 10.1089/cmb.2016.0061 – ident: e_1_2_7_44_1 doi: 10.1111/2041-210X.12236 – ident: e_1_2_7_82_1 doi: 10.1111/j.1365-2656.2010.01744.x – ident: e_1_2_7_9_1 doi: 10.1016/j.tree.2016.07.009 – ident: e_1_2_7_2_1 doi: 10.1111/1365‐2745.12722 – ident: e_1_2_7_23_1 doi: 10.1111/j.1461-0248.2011.01722.x – ident: e_1_2_7_25_1 doi: 10.1146/annurev.ecolsys.110308.120159
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Snippet	Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate...
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SubjectTerms	Assembly Assembly process Bayes Theorem Bayesian analysis Biodiversity biogeography biotic filtering Communities community distribution Community ecology community modelling community similarity computer software data collection Data processing Ecological monitoring Ecology Ecosystem Ekologi environmental filtering Filtration functional trait Integration joint species distribution model Mathematical models metacommunity Models, Theoretical phylogenetic signal Phylogeny Software Spatial distribution Species statistical analysis time series analysis
Title	How to make more out of community data? A conceptual framework and its implementation as models and software
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