Research frontiers in null model analysis

By Nicholas Gotelli. 2001

305 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/b8dee77340a8fa2c5711d881460c49badfdc07d3

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Spectral niche segregation and community organization in a tropical cricket assemblage (2013, background): “In null models, randomized data sets (null communities) are generated in the absence of any potential mechanisms (e.g., competition), thus providing a useful statistical tool in community ecology and biogeography (Gotelli and Graves 1996; Gotelli 2001).”
Scale and species richness: towards a general, hierarchical theory of species diversity (2001, background): “We can gain interesting insights and cautions from such `experiments', but as ever the case when null models are applied in biogeography (Gotelli, 2001), it is important to look at the assumptions involved in these mid-domain analyses.”
The trouble with stress: A flexible method for the evaluation of nonmetric multidimensional scaling (2018, background): “…implementations of these models (Grant and Abbott 1980; Diamond and Gilpin 1982; Quinn and Dunham 1983; Roughgarden 1983), and spurred considerable theoretical and methodological refinements to the use of ecological null models (Gotelli 2001; Gotelli and Entsminger 2003; Gotelli and Ulrich 2012).”
SPECIES CO‐OCCURRENCE: A META‐ANALYSIS OF J. M. DIAMOND'S ASSEMBLY RULES MODEL (2002, background): “Simple null models are best viewed as statistical tools for recognizing nonrandom patterns (Gotelli 2001) rather than as a critical ‘‘litmus test’’ for competitive effects (Roughgarden 1983).”
Stochastic Community Assembly: Does It Matter in Microbial Ecology? (2017, unknown): “, species interactions) of interest (200, 201).”
Species co-occurrences and neutral models: reassessing J. M. Diamond's assembly rules (2004, background): “These efforts clarified the performance of certain null model algorithms and their ability to detect non- random species co-occurrence patterns (Gotelli 2000, 2001, Gotelli and Entsminger 2003).”
The Mid‐Domain Effect and Species Richness Patterns:What Have We Learned So Far? (2004, background): “Null models have a long history in community ecology and biogeography (Gotelli and Graves 1996) and are now a well-established (though still debated) analytical tool (Gotelli 2001).”
SIMPLE TROPHIC MODULES FOR COMPLEX FOOD WEBS (2005, methodology): “These randomizations are obtained by using a null model, a pattern-generating model that brings flexibility in data analysis that is difficult to attain with conventional statistical tests (Gotelli 2001).”
On the statistical significance of functional diversity effects (2004, methodology): “Harvey et al . 1983; Strong et al . 1984), but is now generally considered a useful tool for revealing pattern, so long as the null model is appropriate for the question (Harvey et al . 1983; Gotelli 2001 ).”
Assembly rules within earthworm communities in North-Western France—A regional analysis (2008, background): “This debate led to the introduction of null models to track nonrandom patterns in natural communities (Connor and Simberloff, 1979; Gotelli, 2001).”
Drivers of β‐diversity along latitudinal gradients revisited (2013, background): “…violates the fundamental assumption of a null model, i.e. a null model should not incorporate mechanisms that generate the pattern under investigation (Gotelli, 2001). γ-diversity 0 50 100 150 200 250 300 N um be r of in di vi du al s pe r sp ec ie s 1 10 100 γ-diversity 0 50 100 150 200 250 300 N…”
A straightforward computational approach for measuring nestedness using quantitative matrices (2011, methodology): “Statistical inference is performed using a null model approach (Gotelli, 2000, 2001; Ulrich and Gotelli, 2007).”
The Structure of Plant-Animal Mutualistic Networks (2006, background): “…discussions have revolved around how ecological 1the alternative, transposed arrangement with animals as rows and plants as columns is also frequently used conclusions depend on the choice of a null model (Cook and Quinn 1998, Gotelli 2001, Fischer and Lindenmayer 2002, Vázquez and Aizen 2003).”
Disentangling community patterns of nestedness and species co‐occurrence (2007, background): “…nestedness and species co-occurrence are usually described as deviations from a statistical null model (Gotelli and Graves 1996), in which the pattern in an observed matrix is randomized to mimic the stochastic assembly of a community that is not constrained by species interactions (Gotelli 2001).”
FOOD WEB COHESION (2004, methodology): “Finally, the local rewiring algorithm randomizes the empirical data yet strictly conserves ingoing and outgoing links (Connor and Simberloff 1979, Gotelli 2001).”
NULL MODEL ANALYSES OF SPECIALIZATION IN PLANT–POLLINATOR INTERACTIONS (2003, background): “Null models have played an important role in many areas of community ecology and biogeography (Gotelli and Graves 1996, Gotelli 2001).”