2018
DOI: 10.1126/science.aar5245
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Response to Comment on “Plant diversity increases with the strength of negative density dependence at the global scale”

Abstract: Chisholm and Fung claim that our method of estimating conspecific negative density dependence (CNDD) in recruitment is systematically biased, and present an alternative method that shows no latitudinal pattern in CNDD. We demonstrate that their approach produces strongly biased estimates of CNDD, explaining why they do not detect a latitudinal pattern. We also address their methodological concerns using an alternative distance-weighted approach, which supports our original findings of a latitudinal gradient in… Show more

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Cited by 10 publications
(20 citation statements)
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“…However, adding the offset value to all quadrats did not qualitatively change either the relationship between species rarefied richness and CNDD across latitudes (r = −0.877, P < 0.001) or the latitudinal shift in the relationship between CNDD and species abundance (r = −0.552, P = 0.006). Moreover, these findings persisted when we used an alternative distance-weighted approach to estimate CNDD that avoids the use of an offset altogether (11). Therefore, the main findings of our original paper are robust to the statistical approach used to estimate CNDD.…”
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confidence: 53%
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“…However, adding the offset value to all quadrats did not qualitatively change either the relationship between species rarefied richness and CNDD across latitudes (r = −0.877, P < 0.001) or the latitudinal shift in the relationship between CNDD and species abundance (r = −0.552, P = 0.006). Moreover, these findings persisted when we used an alternative distance-weighted approach to estimate CNDD that avoids the use of an offset altogether (11). Therefore, the main findings of our original paper are robust to the statistical approach used to estimate CNDD.…”
mentioning
confidence: 53%
“…These distances are well within average dispersal kernels for tree species (6,9). Therefore, we applied an offset value to quadrats with recruits but no conspecific adults, so as to ensure that these recruits remained in the calculation of CNDD and to avoid bias that results from excluding these recruits (1,10,11). However, adding the offset value to all quadrats did not qualitatively change either the relationship between species rarefied richness and CNDD across latitudes (r = −0.877, P < 0.001) or the latitudinal shift in the relationship between CNDD and species abundance (r = −0.552, P = 0.006).…”
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confidence: 99%
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“…Differences in conspecific negative density dependence (CNDD) between a tropical (BCI, Panama) and temperate (SERC, USA) forest. Observed results (red lines) are compared to null‐expected results from 1000 iterations of the relabeling model (Detto et al 2019; gray histograms) and the dispersal‐kernel model described in the text (modified from LaManna et al 2018 a , b ; blue histograms). (A) Observed median CNDD at BCI was greater than median CNDD expected from both null models ( P < 0.001).…”
Section: Inference In Observational Studies: the Importance Of Statismentioning
confidence: 99%
“…(C and D) Neither null model reproduced the observed difference in median CNDD between tropical and temperate forests using (C) all species ( P < 0.001), (D) only rare species (species with < 0.1 m 2 /ha basal area; P = 0.001), or only common species (>0.1 m 2 /ha basal area; P = 0.007, this result not shown). Ricker models and distance‐weighted adult abundances were used in all analyses because they generated less bias in benchmark tests (LaManna et al 2017, 2018 b ).…”
Section: Inference In Observational Studies: the Importance Of Statismentioning
confidence: 99%