2019
DOI: 10.1111/jbi.13535
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Disentangling the processes driving tree community assembly in a tropical biodiversity hotspot (New Caledonia)

Abstract: Aim Understanding the drivers of community diversity and composition is a major question in ecology, which is of particular significance for the conservation of narrowly distributed taxa facing habitat alteration. In this study, we examined three ecological processes (environmental and biotic filtering, and dispersal limitation) hypothesized to drive community assembly in the island biodiversity hotspot of New Caledonia, and whether the relative importance of these processes changes along environmental gradien… Show more

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Cited by 4 publications
(2 citation statements)
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“…It is now commonly accepted that community assembly is determined by both processes (Farjalla et al, 2012;Grigoropoulou et al, 2022). Recent studies demonstrate that EF could become more critical for shaping plant community structure in stressful environmental conditions, while DF might dominate under benign conditions (Pouteau et al, 2019). Thus, a shift in the community assembly from overdispersal in low elevations to clustering in high elevations appears to occur.…”
Section: Introductionmentioning
confidence: 99%
“…It is now commonly accepted that community assembly is determined by both processes (Farjalla et al, 2012;Grigoropoulou et al, 2022). Recent studies demonstrate that EF could become more critical for shaping plant community structure in stressful environmental conditions, while DF might dominate under benign conditions (Pouteau et al, 2019). Thus, a shift in the community assembly from overdispersal in low elevations to clustering in high elevations appears to occur.…”
Section: Introductionmentioning
confidence: 99%
“…Species distribution models (SDMs) of tree species could also help to identify adequate reforestation areas. However, it would be necessary to have more occurrences in this region to obtain reliable predictions, due to the heterogeneity of tree community compositions which is still not well understood (Pouteau et al., 2019). In this respect, we adopted a forest‐cover approach using remote sensing data (the dominant forest type in this area is dense rainforest).…”
Section: Methodsmentioning
confidence: 99%