Distance decay 2.0 – a global synthesis of taxonomic and functional decay in ecological communities

  1. Graco-Roza, Caio 1
  2. Aarnio, Sonja 1
  3. Abrego, Nerea 2
  4. Acosta, Alicia T. R. 3
  5. Alahuhta, Janne 4
  6. Altman, Jan 5
  7. Angiolini, Claudia 6
  8. Aroviita, Jukka 7
  9. Attorre, Fabio 8
  10. Baastrup-Spohr, Lars 9
  11. Barrera-Alba, José Juan 10
  12. Belmaker, Jonathan 11
  13. Biurrun, Idoia 12
  14. Bonari, Gianmaria 13
  15. Bruelheide, Helge 14
  16. Burrascano, Sabina 15
  17. Carboni, Marta 16
  18. Cardoso, Pedro 17
  19. Carvalho, José Carlos 18
  20. Castaldelli, Giuseppe 19
  21. Christensen, Morten 20
  22. Correa, Gilsineia 21
  23. Dembicz, Iwona 22
  24. Dengler, Jürgen 23
  25. Dolezal, Jiri 24
  26. Domingos, Patricia 25
  27. Erös, Tibor 26
  28. Ferreira, Carlos E. L. 27
  29. Filibeck, Goffredo 28
  30. Floeter, Sergio R. 29
  31. Friedlander, Alan M. 30
  32. Gammal, Johanna 31
  33. Gavioli, Anna 19
  34. Gossner, Martin M. 32
  35. Granot, Itai 11
  36. Guarino, Riccardo 33
  37. Gustafsson, Camilla 31
  38. Hayden, Brian 34
  39. He, Siwen 35
  40. Heilmann-Clausen, Jacob 36
  41. Heino, Jani 37
  42. Hunter, John T. 38
  43. Huszar, Vera Lucia de Moraes 39
  44. Janišová, Monika 40
  45. Jyrkänkallio-Mikkola, Jenny 1
  46. Kahilainen, Kimmo K. 41
  47. Kemppinen, Julia 1
  48. Kozub, Łukasz 22
  49. Kruk, Carla 42
  50. Kulbiki, Michel 43
  51. Kuzemko, Anna 44
  52. le Roux, Peter Christiaan 45
  53. Lehikoinen, Aleksi 46
  54. Lima, Domênica Teixeira de 47
  55. Lopez-urrutia, Angel 48
  56. Lukács, Balázs A. 49
  57. Luoto, Miska 1
  58. Mammola, Stefano 17
  59. Marinho, Marcelo Manzi 21
  60. Menezes, Luciana da Silva 50
  61. Milardi, Marco 51
  62. Miranda, Marcela 52
  63. Moser, Gleyci Aparecida Oliveira 47
  64. Mueller, Joerg 53
  65. Niitynen, Pekka 1
  66. Norkko, Alf 31
  67. Nowak, Arkadiusz 54
  68. Ometto, Jean P. 55
  69. Ovaskainen, Otso 56
  70. Overbeck, Gerhard E. 57
  71. Pacheco, Felipe Siqueira 55
  72. Pajunen, Virpi 1
  73. Palpurina, Salza 58
  74. Picazo, Félix 59
  75. Prieto, Juan Antonio Campos 12
  76. Rodil, Iván F. 60
  77. Sabatini, Francesco Maria 14
  78. Salingré, Shira 11
  79. Sanctis, Michele De 61
  80. Segura, Angel M. 62
  81. Silva, Lucia Helena Sampaio da 63
  82. Stevanovic, Zora Dajic 64
  83. Swacha, Grzegorz 65
  84. Teittinen, Anette 1
  85. Tolonen, Kimmo T. 66
  86. Tsiripidis, Ioannis 67
  87. Virta, Leena 1
  88. Wang, Beixin 35
  89. Wang, Jianjun 68
  90. Weisser, Wolfgang 69
  91. XU, Yuan 70
  92. Soininen, Janne 1
  93. Erakutsi egile guztiak +
  1. 1 Department of Geosciences and Geography, University of Helsinki, P.O Box 64, FI‒00014 Helsinki, Finland
  2. 2 Department of Agricultural Sciences, P.O. Box 27, FI–00014 University of Helsinki, Finland
  3. 3 Department of Science, University of Roma Tre – Viale Guglielmo Marconi 446, I–00146, Rome, Italy
  4. 4 Geography Research Unit, University of Oulu, P.O. Box 3000, FI–90014 Oulu, Finland
  5. 5 Institute of Botany of The Czech Academy of Sciences, Zámek 1, CZ–25243, Průhonice, Czech Republic
  6. 6 Department of Life Sciences, University of Siena, Via P.A. Mattioli, 4 I–53100, Siena, Italy.
  7. 7 Finnish Environment Institute, Freshwater Centre, P.O. Box 413, FI–90014 Oulu, Finland.
  8. 8 Department of Environmental Biology, Sapienza University of Rome, P.le Aldo Moro 5, I–00185, Rome, Italy.
  9. 9 Freshwater Biological Laboratory, Department of Biology, University of Copenhagen, Universitetsparken 4 2100 København Ø, Denmark.
  10. 10 Departamento de Ciências do Mar, Instituto do Mar, Universidade Federal de São Paulo. R. Carvalho de Mendonça, 144. Encruzilhada, 11070-100, Santos (SP), Brazil.
  11. 11 School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
  12. 12 Department of Plant Biology and Ecology, University of the Basque Country UPV/EHU, P.O. Box 644, 48080 Bilbao, Spain.
  13. 13 Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università, 5, 39100, Bozen-Bolzano, Italy.
  14. 14 Martin Luther University Halle-Wittenberg, Institute for Biology / Geobotany and Botanical Garden, Am Kirchtor 1, 06108 Halle, Germany
  15. 15 Department of Environmental Biology, Sapienza University of Rome, P.le Aldo Moro 5, 00185, Rome, Italy.
  16. 16 Department of Science, University of Roma Tre - Viale Guglielmo Marconi 446, I–00146, Rome, Italy
  17. 17 Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History Luomus, University of Helsinki, Finland.
  18. 18 Department of Biology, CBMA—Centre for Molecular and Environmental Biology, University of Minho, Campus de Gualtar, Braga, Portugal.
  19. 19 University of Ferrara, Department of Life Sciences and Biotechnology, Ferrara, V. Luigi Borsari 46, 44121, Italy.
  20. 20 Hvidtjørnevej 1, DK–4180 Sorø, Denmark.
  21. 21 Laboratory of Ecology and Physiology of Phytoplankton, Department of Plant Biology, State University of Rio de Janeiro, Rua São Francisco Xavier 524, PHLC, Sala 511, 20550-900, Rio de Janeiro, RJ, Brazil
  22. 22 Department of Ecology and Environmental Conservation, Institure of Environmental Biology, Faculty of Biology, University of Warsaw, Warsaw, Poland.
  23. 23 Vegetation Ecology, Institute of Natural Resource Sciences (IUNR), Zurich University of Applied Sciences (ZHAW), Grüentalstr. 14, 8820 Wädenswil, Switzerland
  24. 24 Institute of Botany of The Czech Academy of Sciences, Zámek 1, 25243 Průhonice, Czech Republic
  25. 25 Laboratory of Phycology and Environmental Education, Department of Plant Biology, State University of Rio de Janeiro, Rua São Francisco Xavier 524, PHLC, Sala 525/1, 20550-900, Rio de Janeiro, RJ, Brazil
  26. 26 Balaton Limnological Research Institute, ELKH, Klebelsberg Kuno u. 3., H-8237 Tihany, Hungary
  27. 27 Reef Systems Ecology and Conservation Lab, Departamento de Biologia Marinha, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil
  28. 28 Department of Agricultural and Forest Sciences (DAFNE), University of Tuscia, 01100 Viterbo, Italy
  29. 29 Marine Macroecology and Biogeography Lab, Depto. de Ecologia e Zoologia, CCB, Universidade Federal de Santa Catarina, 88040-900, Florianopolis, SC, Brazil
  30. 30 Hawai'i Institute of Marine Biology, University of Hawai'i, Kaneohe, Hawaii 96744. USA
  31. 31 Tvärminne Zoological Station, University of Helsinki, J.A. Palménin tie 260, 10900, Hanko, Finland
  32. 32 Forest Entomology, Swiss Federal Research Institute WSL, Zuercherstrasse 111, Birmensdorf CH–8903, Switzerland
  33. 33 Department STEBICEF – Botanical Unit, via Archirafi, 38, 90123 Palermo
  34. 34 University of New Brunswick, Rivers Institute, New Brunswick, Canada
  35. 35 Department of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing, China
  36. 36 Centre for Macroecology, Evolution and Climate, University of Copenhagen, DK–2100 Copenhagen Ø, Denmark
  37. 37 Finnish Environment Institute, Freshwater Centre, Paavo Havaksen Tie 3, FI–90570 Oulu, Finland.
  38. 38 School of Rural and Environmental Sciences, University of New England, Armidale, NSW.
  39. 39 Phycology Laboratory, Botany Department, National Museum, Federal University of Rio de Janeiro, 20940-040, Rio de Janeiro, RJ, Brasil
  40. 40 Institute of Botany, Plant Science and Biodiversity Center, Slovak Academy of Sciences, Ďumbierska 1, 974 11 Banská Bystrica, Slovakia
  41. 41 Lammi Biological Station, University of Helsinki, Pääjärventie 320, FI–16900 Lammi, Finland
  42. 42 Sección Limnología, IECA, Facultad de Ciencias, Universidad de la República, Uruguay
  43. 43 IRD (Institut de Recherche pour le Développement), Laboratoire d'Excellence Labex Corail, UMR IRD-UR-CNRS ENTROPIE, Université de Perpignan, 66860 Perpignan Cedex 9, France
  44. 44 M.G. Kholodny Institute of Botany, National Academy of Sciences of Ukraine, 2, Tereshchenkivska str. 01601, Kyiv, Ukraine
  45. 45 Department of Plant and Soil Sciences, University of Pretoria, Private Bag X20, Pretoria 0028, South Africa
  46. 46 Finnish Museum of Natural History, PO Box 17, FI–00014, University of Helsinki, Finland.
  47. 47 Departamento de Oceanografia Biológica (DOB), Faculdade de Oceanografia, Universidade do Estado do Rio de Janeiro (UERJ), Rua São Francisco Xavier 524, 2055-090, Rio de Janeiro, RJ, Brasil
  48. 48 Instituto Español de Oceanografía (IEO), Centro Oceanográfico de Gijón, 33212 Gijón, Asturias, Spain
  49. 49 Wetland Ecology Research Group, Centre for Ecological Research, Bem tér 18/C, Debrecen 4026, Hungary
  50. 50 Laboratory of Grassland Vegetation, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 9500, 91501-970, Porto Alegre, RS, Brazil
  51. 51 Fisheries New Zealand, Tini a Tangaroa, Ministry for Primary Industries, Manatū Ahu Matua, 34-38 Bowen Street, Wellington, New Zealand
  52. 52 National Institute for Space Research, Earth System Science Center, CCST/INPE, Av. dos Astronautas, 1758, Jardim da Granja, São José dos Campos, SP 12227-010, Brazil
  53. 53 Institute for Biochemistry and Biology, University of Potsdam, Maulbeerallee 1, 14469 Potsdam, Germany
  54. 54 Polish Academy of Sciences Botanical Garden - Center for Biological Diversity Conservation in Powsin, Prawdziwka 2, 02-973 Warsaw, Poland
  55. 55 National Institute for Space Research, Earth System Science Center, CCST/INPE, Av. dos Astronautas, 1758, Jardim da Granja, 12227-010, São José dos Campos, SP, Brazil
  56. 56 Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35 (Survontie 9C), FI-40014, Jyväskylä, Finland
  57. 57 Department of Botany, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 9500, 91501-970, Porto Alegre, RS, Brazil
  58. 58 National Museum of Natural History, Bulgarian Academy of Sciences, 1 Tsar Osvoboditel Blvd, 1000 Sofia, Bulgaria
  59. 59 Department of Ecology/Research Unit Modeling Nature (MNat), University of Granada, Faculty of Sciences, Campus Fuentenueva S/N, 18071 Granada, Spain
  60. 60 Department of Biology, INMAR, University of Cadiz, International Campus of Excellence of the Sea (CEIMAR), 11510, Puerto Real (Cádiz), Spain
  61. 61 Department of Environmental Biology, University Sapienza of Rome, P.le Aldo Moro 5, 00185, Rome, Italy.
  62. 62 Modelización y Análisis de Recursos Naturales, CURE-Rocha, Universidad de la República, Uruguay
  63. 63 Phycology Laboratory, Botany Department, National Museum, Federal University of Rio de Janeiro, 20940-040, Rio de Janeiro, RJ, Brazil
  64. 64 Department of Agrobotany, Faculty of Agriculture, University of Belgrade, Nemanjina 6, 11080 Belgrade-Zemun, Serbia
  65. 65 Botanical Garden, University of Wrocław, ul. Henryka Sienkiewicza 23, 50-335 Wrocław, Poland
  66. 66 Finnish Environment Institute, Freshwater Centre, Jyväskylä Office, University of Jyväskylä, P.O. Box 35, FI–40014, Finland
  67. 67 Department of Botany, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
  68. 68 State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 210008 Nanjing, China
  69. 69 Terrestrial Ecology Research Group, Department of Ecology and Ecosystem Management, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany
  70. 70 State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 200241, Shanghai, China.
Erakutsi afiliazioak +

Argitaratzaile: Zenodo

Argitalpen urtea: 2022

Mota: Dataset

DOI: 10.5281/ZENODO.6405535 lock_openSarbide irekia editor

Laburpena

Datasets used in the analysis of the manuscript by Graco-Roza, C., Aarnio, S., Abrego, N., Acosta, A. T., Alahuhta, J., Altman, J., ... &amp; Soininen, J. (2022). Distance decay 2.0–a global synthesis of taxonomic and functional turnover in ecological communities.<em> Global Ecology and Biogeography.</em> <strong>raw_data.zip - </strong>Includes the raw datasets used in the analysis. <strong>processed_data.xlsx - </strong>Includes the results from the distance decay analysis, specifically: - Dataset : dataset code (same as in raw_data) - Beta_type: The component of beta diversity (i.e., total similarity, replacement, richness differences) - Level : Taxonomic (TAX) or functional (FUN) - Based: Occurrence (occ) or Abundance (abund) - Organism: Code used to describe organisms (see Appendix S1 of the paper) - Realm: Aquatic, Terrestrial, or Freshwaters - Body_size - Dispersal_mode: Seeds, Passive or Active - Latitude: Mean latitude of the dataset (average of all data points) - Latitude_range Distance in kilometres between the two vertically most distant points. - Longitude_range: Distance in kilometres between the two horizontally most distant points. - spa_min: minimum distance between sites (in kilometres) - spa_mean: average distance between sites (in kilometres) - spa_max: maximum distance between sites (in kilometres) - ext: area in kilometres covered by all sites in the dataset - n_sites: Number of sites in each dataset - n_var: Number of environmental variables in each dataset - gamma_spe: Number of species observed in each dataset - gamma_trait: Volume of the hypervolume constructed using the traits in each dataset - n_traits: Number of traits in each dataset - Intercept_spa: Intercept of GLM including community similarity and spatial distances - Slope_Spa: Slope of GLM including community similarity and spatial distances - R2_spa: R² of GLM including community similarity and spatial distances - Intercept_env: Intercept of GLM including community similarity and environmental distances - Slope_env: Slope of GLM including community similarity and environmental distances - R2_env: R² of GLM including community similarity and environmental distances - Mantel_spa: Mantel statistics of community similarity and spatial distances - spa_signif: Significance of Mantel statistics considering community similarity and spatial distances - Mantel_env: Mantel statistics considering community similarity and environmental distances - env_signif: Significance of Mantel statistics considering community similarity and environmental distances <strong>Null_models.zip - </strong>Includes the results from the null models for each dataset.