Mismatch between IUCN range maps and species interactions data illustrated using the Serengeti food web

被引:6
作者
Higino, Gracielle T. [1 ]
Banville, Francis [2 ,3 ,4 ]
Dansereau, Gabriel [3 ,4 ]
Munoz, Norma Rocio Forero [3 ,4 ]
Windsor, Fredric [5 ]
Poisot, Timothee [3 ,4 ]
机构
[1] Univ British Columbia, Biodivers Res Ctr, Vancouver, BC, Canada
[2] Univ Sherbrooke, Sherbrooke, PQ, Canada
[3] Univ Montreal, Montreal, PQ, Canada
[4] Quebec Ctr Biodivers Sci, Montreal, PQ, Canada
[5] Newcastle Univ, Sch Nat & Environm Sci, Newcastle Upon Tyne, Tyne & Wear, England
来源
PEERJ | 2023年 / 11卷
关键词
Range maps; IUCN; GBIF; Serengeti; Species interactions; Food web; Species; PROPAGATION; RICHNESS; NICHE;
D O I
10.7717/peerj.14620
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background. Range maps are a useful tool to describe the spatial distribution of species. However, they need to be used with caution, as they essentially represent a rough approximation of a species' suitable habitats. When stacked together, the resulting communities in each grid cell may not always be realistic, especially when species interactions are taken into account. Here we show the extent of the mismatch between range maps, provided by the International Union for Conservation of Nature (IUCN), and species interactions data. More precisely, we show that local networks built from those stacked range maps often yield unrealistic communities, where species of higher trophic levels are completely disconnected from primary producers. Methodology. We used the well-described Serengeti food web of mammals and plants as our case study, and identify areas of data mismatch within predators' range maps by taking into account food web structure. We then used occurrence data from the Global Biodiversity Information Facility (GBIF) to investigate where data is most lacking. Results. We found that most predator ranges comprised large areas without any overlapping distribution of their prey. However, many of these areas contained GBIF occurrences of the predator. Conclusions. Our results suggest that the mismatch between both data sources could be due either to the lack of information about ecological interactions or the geographical occurrence of prey. We finally discuss general guidelines to help identify defective data among distributions and interactions data, and we recommend this method as a valuable way to assess whether the occurrence data that are being used, even if incomplete, are ecologically accurate.
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页数:19
相关论文
共 53 条
  • [1] Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change
    Abrego, Nerea
    Roslin, Tomas
    Huotari, Tea
    Ji, Yinqiu
    Schmidt, Niels Martin
    Wang, Jiaxin
    Yu, Douglas W.
    Ovaskainen, Otso
    [J]. ECOGRAPHY, 2021, 44 (06) : 885 - 896
  • [2] Mutualist-mediated effects on species' range limits across large geographic scales
    Afkhami, Michelle E.
    McIntyre, Patrick J.
    Strauss, Sharon Y.
    [J]. ECOLOGY LETTERS, 2014, 17 (10) : 1265 - 1273
  • [3] Plant and animal functional diversity drive mutualistic network assembly across an elevational gradient
    Albrecht, Joerg
    Classen, Alice
    Vollstaedt, Maximilian G. R.
    Mayr, Antonia
    Mollel, Neduvoto P.
    Costa, David Schellenberger
    Dulle, Hamadi I.
    Fischer, Markus
    Hemp, Andreas
    Howell, Kim M.
    Kleyer, Michael
    Nauss, Thomas
    Peters, Marcell K.
    Tschapka, Marco
    Steffan-Dewenter, Ingolf
    Boehning-Gaese, Katrin
    Schleuning, Matthias
    [J]. NATURE COMMUNICATIONS, 2018, 9
  • [4] High correlation between species-level environmental data estimates extracted from IUCN expert range maps and from GBIF occurrence data
    Alhajeri, Bader H.
    Fourcade, Yoan
    [J]. JOURNAL OF BIOGEOGRAPHY, 2019, 46 (07) : 1329 - 1341
  • [5] [Anonymous], 2013, FRONTIERS BIOGEOGRAP
  • [6] [Anonymous], 2020, Global Biodiversity Information Facility
  • [7] Spatial Guilds in the Serengeti Food Web Revealed by a Bayesian Group Model
    Baskerville, Edward B.
    Dobson, Andy P.
    Bedford, Trevor
    Allesina, Stefano
    Anderson, T. Michael
    Pascual, Mercedes
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2011, 7 (12)
  • [8] Julia: A Fresh Approach to Numerical Computing
    Bezanson, Jeff
    Edelman, Alan
    Karpinski, Stefan
    Shah, Viral B.
    [J]. SIAM REVIEW, 2017, 59 (01) : 65 - 98
  • [9] Co-occurrence is not evidence of ecological interactions
    Blanchet, F. Guillaume
    Cazelles, Kevin
    Gravel, Dominique
    [J]. ECOLOGY LETTERS, 2020, 23 (07) : 1050 - 1063
  • [10] Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data
    Boakes, Elizabeth H.
    McGowan, Philip J. K.
    Fuller, Richard A.
    Ding Chang-qing
    Clark, Natalie E.
    O'Connor, Kim
    Mace, Georgina M.
    [J]. PLOS BIOLOGY, 2010, 8 (06)