Meta-analysis in ecology
By J. Gurevitch, P. Curtis, Michael H. Jones. 2001
196 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/81f0043e5fe8984062668a64ad28d54a8a2b0851
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- Laura R. Prugh
- M. Leishman
- A. Bonisoli‐Alquati
- Ray Hilborn
- William F. Fagan
- Veronik Campbell
- Robert Poulin
- Thompson Hobbs
In Ecology, Evolution, Behavior and Systematics
- N. Blüthgen
- M. Westoby
- N. Williams
- Charles E Mitchell
- Peter Vesk
- J. Klironomos
- A. Agrawal
- D. P. Vázquez
In Nature and Landscape Conservation
- M. Westoby
- Peter Vesk
- M. Leishman
- N. Williams
- N. Blüthgen
- B. Krasnov
- J. Klironomos
- Charles E Mitchell
Citations in the corpus
- Experimental design and the outcome and interpretation of diversity-stability relations (2011, methodology): “We modelled effect sizes using a random effects model with inverse variance weighting (Gurevitch et al. 2001, Bax et al. 2006).”
- Alternatives to statistical hypothesis testing in ecology: a guide to self teaching. (2006, methodology): “This remains its primary use in medicine, where it has seen the most development, and also in ecology (Gurevitch et al. 2001).”
- A meta-analysis of the effect of forest management for timber on understory plant species diversity in temperate forests (2013, background): “The degree of heterogeneity acceptable for these types of analyses in experimental ecology is constantly under debate (Gurevitch et al., 2001; Stewart, 2010).”
- ENEMY RELEASE? AN EXPERIMENT WITH CONGENERIC PLANT PAIRS AND DIVERSE ABOVE- AND BELOWGROUND ENEMIES (2005, methodology): “We standardized data using ‘‘effect sizes’’ that represent an equalized currency so that values could be compared across interactions (Gurevitch et al. 2001, Lajeunesse and Forbes 2003).”
- The use of fluctuating asymmetry as a measure of environmentally induced developmental instability: A meta-analysis (2013, methodology): “A significant QT indicates that variance amongst effect sizes is too different for meaningful comparison and suggests that other explanatory variables should be investigated (Cooper, 1998; Gurevitch et al., 2001).”
- A global analysis of traits predicting species sensitivity to habitat fragmentation (2017, methodology): “We evaluated the influence of landscape and species characteristics on species occurrence in remnant patches using generalized linear mixed-effect models (Gurevitch et al., 2001).”
- Effect of arbuscular mycorrhizal fungi on soil enzyme activity is coupled with increased plant biomass (2019, methodology): “The 95% bootstrap confidence intervals (CIs) for each mean lnR were obtained by 9,999 iterations of bootstrapping, which considered both the lnR and its variance for each observation (Gurevitch et al., 2001).”
- Species abundance and asymmetric interaction strength in ecological networks (2007, methodology): “To estimate the average deviation between observed and expected correlations across studies, we calculated the weighted mean of zd, defined as z̄d Swi(zd)i/Swi, where the weights are w 1/var (zn) (Rosenthal 1991, Gurevitch et al. 2001).”
- Simple traits do not predict grazing response in Australian dry shrublands and woodlands (2004, methodology): “Because species could have conflicting responses in different studies, and to address concerns about pooling incompatible results, meta-analysis was used ( Gurevitch, Curtis & Jones 2001 ).”