Disentangling the Drivers of β Diversity Along Latitudinal and Elevational Gradients
By Nathan J B Kraft, L. Comita, Jonathan M. Chase, N. Sanders, N. Swenson, T. O. Crist, James C. Stegen, M. Vellend, B. Boyle, Marti J. Anderson and 6 more. Science, 2011
768 citations recorded by the source corpus.
Subfields: Ecology
View Paper: https://www.semanticscholar.org/paper/5fed852ee3f4f6a1b3aca84d04485166c6889b4f
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In Ecology
- Jizhong Zhou
- D. Ning
- Pierre Legendre
- James C. Stegen
- M. Vellend
- Ye Deng
- Allan E. Konopka
- Jonathan M. Chase
Citations in the corpus
- Disturbance alters beta‐diversity but not the relative importance of community assembly mechanisms (2015, methodology): “mean expected dissimilarity from 2000 iterations of the null model, divided by the standard deviation of expected values (Kraft et al. 2011; Myers et al. 2013).”
- Drivers of β‐diversity along latitudinal gradients revisited (2013, methodology): “We used the same approach as in Kraft et al. (2011) to measure a-, b- and g-diversity for each plot.”
- PAPER Community assembly processes shape an altitudinal gradient of forest biodiversity (2013, methodology): “Although this phenomenon has been reported previously in recent works (Lindo & Winchester, 2008; Kraft et al., 2011; De Cáceres et al., 2012), it remains unexplained.”
- A general framework for quantitatively assessing ecological stochasticity (2019, background): “, βNTI based on phylogenetic dissimilarity) (7, 20, 25) have been widely applied to infer ecological stochasticity (4).”
- Quantifying community assembly processes and identifying features that impose them (2013, background): “Instead, recent studies have made progress towards characterizing gradients in the influence of Selection (Chase, 2010; Kraft et al., 2011) and testing ecological neutral theory (Ofiteru et al.”
- Partitioning abundance‐based multiple‐site dissimilarity into components: balanced variation in abundance and abundance gradients (2017, positive): “Likewise, analyses assessing the variation in dissimilarity (and its components) among regions (e.g. Gaston et al. 2007; Kraft et al. 2011; Leprieur et al. 2011; Baselga, G omez-Rodr ıguez & Lobo 2012) could benefit from the method proposed here, as it simultaneously allows quantifying…”
- Branching out: Towards a trait-based understanding of fungal ecology (2015, background): “This results in the practice of using average trait values per species, often ignoring intraspecific trait variability (e.g. Kraft et al., 2011).”
- Beta diversity of plants, birds and butterflies is closely associated with climate and habitat structure (2017, background): “It should be noted that beta diversity metrics are affected by the size of the regional species pools (Kraft et al., 2011), which are not considered here.”
- The spatial scaling of beta diversity (2013, background): “…relationship that might be expected for different study designs aimed at examining community turnover of different kinds of organisms, such as plants (Kraft et al., 2011), vertebrates (Svenning et al., 2011) or microbes (Martiny et al., 2011) along various geographical or environmental gradients.”
- Stochasticity, succession, and environmental perturbations in a fluidic ecosystem (2014, background): “Also, standard effect size (SES), which is used to measure the influence of deterministic factors on community composition and abundance (19), was quite high for the communities at the early and final phase as well as the control well (Fig.”
- Assessing the relative importance of neutral stochasticity in ecological communities (2014, background): “Given that correlations between local richness, regional richness and beta diversity can result from statistical inevitabilities (Kraft et al. 2011), the sensitivity of this metric to other attributes of a data set (potentially unrelated to stochastic processes) needs to be evaluated.”