2018
DOI: 10.1002/ecs2.2213
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Tree species co‐occurrence patterns change across grains: insights from a subtropical forest

Abstract: Co‐occurrence is a basic measure of spatial relationships between species. This commonly used measure has many benefits and limitations, yet a basic property that can strongly affect it has been overlooked. Co‐occurrence analysis is based on discrete sampling in space, and therefore, its grain size may affect the results and their interpretation, because species interactions and their environmental responses are scale‐dependent. We utilized a large dataset on tree species from a full‐stem mapped forest plot in… Show more

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Cited by 11 publications
(10 citation statements)
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“…This suggests that the accuracy of inferring interactions is highest at finer scales. Second, similar to other recent findings (Araújo and Rozenfeld 2014, Belmaker et al 2015, Bar-Massada et al 2018, at finer spatial grains of observation (minimal connectivity among ponds), species were estimated to have more negative interactions, depending on the type of interaction, more than expected if ponds were randomly aggregated across the landscape. Only predator-prey pairs demonstrated a shift in associations across spatial scale, in line with our hypotheses.…”
Section: Discussionsupporting
confidence: 82%
See 1 more Smart Citation
“…This suggests that the accuracy of inferring interactions is highest at finer scales. Second, similar to other recent findings (Araújo and Rozenfeld 2014, Belmaker et al 2015, Bar-Massada et al 2018, at finer spatial grains of observation (minimal connectivity among ponds), species were estimated to have more negative interactions, depending on the type of interaction, more than expected if ponds were randomly aggregated across the landscape. Only predator-prey pairs demonstrated a shift in associations across spatial scale, in line with our hypotheses.…”
Section: Discussionsupporting
confidence: 82%
“…Previous work has found that positive species interactions are more likely to be detected at large spatial grain sizes (Araújo and Rozenfeld 2014, Belmaker et al 2015, Bar-Massada et al 2018. However, this pattern may simply be a result of sampling: as more communities are aggregated on a landscape, any two species is more likely to be detected together.…”
Section: Test Of Scale-dependencymentioning
confidence: 94%
“…Rather than inferring process from spatial patterns, we tested whether patterns of co-occurrence in a given year were predictive of specific changes in abundance across years. Our focus on small sample plots within a small plant community reduces the likelihood that the influence of competition on co-occurrence patterns was obscured by influences that primarily manifest at larger scales, such as dispersal limitation (D'Amen et al 2017, Bar-Massada et al 2018) and substrate variation (Tirado and Pugnaire 2005). As such, if competition were the primary driver of negative co-occurrence patterns and asymmetric abundance decline, this should have been clear in our results.…”
Section: Biennial Period Treatmentmentioning
confidence: 87%
“…At the centre of our 1.5 × 1.5 m plots, we set out circular plots measuring 0.5 m in diameter. Recent research has identified that smaller plot sizes such as these are most appropriate for testing the influence of competition on co-occurrence patterns (McNickle et al 2018) while reducing the effects of abiotic variation and dispersal limitation (Bar-Massada et al 2018). While we do not have direct evidence that our study field is homogeneous with respect to abiotic resources, we present soil mapping here for undisturbed plots in an adjacent part of the field located 5 m away (70 plots, 0.5 m diameter).…”
Section: Study Sitementioning
confidence: 99%
“…Lososová et al, ; Qian & Sandel, ), thus focusing on site‐specific invasibility of a recipient assemblage. However, site‐based approaches are affected by the spatial grain used for capturing species co‐occurrence patterns (Bar‐Massada, Yang, Shen, & Wang, ). Indeed, the debate on naturalization versus pre‐adaptation in biological invasion is often dependent on the spatial scale: the pre‐adaptation hypothesis is well supported at a larger grain size, whereas naturalization is supported at a smaller grain size (Cadotte, Hamilton, & Murray, ; Diez, Sullivan, Hulme, Edwards, & Duncan, ; Thuiller et al, ).…”
Section: Introductionmentioning
confidence: 99%