Literature DB >> 16701242

Rules of thumb for judging ecological theories.

Lev R Ginzburg1, Christopher X J Jensen.   

Abstract

An impressive fit to historical data suggests to biologists that a given ecological model is highly valid. Models often achieve this fit at the expense of exaggerated complexity that is not justified by empirical evidence. Because overfitted theories complement the traditional assumption that ecology is 'messy', they generally remain unquestioned. Using predation theory as an example, we suggest that a fit-driven appraisal of model value is commonly misdirected; although fit to historical data can be important, the simplicity and generality of a theory--and thus its ecological value--are of comparable importance. In particular, we argue that theories whose complexity greatly exceeds the complexity of the problem that they address should be rejected. We suggest heuristics for distinguishing between valuable ecological theories and their overfitted brethren.

Year:  2004        PMID: 16701242     DOI: 10.1016/j.tree.2003.11.004

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  16 in total

1.  Dissecting the species-energy relationship.

Authors:  Karl L Evans; Jeremy J D Greenwood; Kevin J Gaston
Journal:  Proc Biol Sci       Date:  2005-10-22       Impact factor: 5.349

Review 2.  Maternal effects mechanism of population cycling: a formidable competitor to the traditional predator-prey view.

Authors:  Pablo Inchausti; Lev R Ginzburg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-04-27       Impact factor: 6.237

3.  Predicting fish growth potential and identifying water quality constraints: a spatially-explicit bioenergetics approach.

Authors:  Phaedra Budy; Matthew Baker; Samuel K Dahle
Journal:  Environ Manage       Date:  2011-07-17       Impact factor: 3.266

4.  Predicting abundances of plants and pollinators using a simple compartmental mutualistic model.

Authors:  Hugo Fort; Muhittin Mungan
Journal:  Proc Biol Sci       Date:  2015-06-07       Impact factor: 5.349

5.  Farmers' Willingness to Adopt Conservation Agriculture: New Evidence from Lebanon.

Authors:  Ali Chalak; Alexandra Irani; Jad Chaaban; Issam Bashour; Karin Seyfert; Kaitlyn Smoot; Gumataw Kifle Abebe
Journal:  Environ Manage       Date:  2017-06-20       Impact factor: 3.266

6.  Approaches to Optimize Medication Data Analysis in Clinical Cohort Studies.

Authors:  Matthew S Duprey; John W Devlin; Becky A Briesacher; Thomas G Travison; John L Griffith; Sharon K Inouye
Journal:  J Am Geriatr Soc       Date:  2020-10-01       Impact factor: 5.562

Review 7.  Climate variability and malaria epidemics in the highlands of East Africa.

Authors:  Simon I Hay; G Dennis Shanks; David I Stern; Robert W Snow; Sarah E Randolph; David J Rogers
Journal:  Trends Parasitol       Date:  2005-02

8.  Regression with empirical variable selection: description of a new method and application to ecological datasets.

Authors:  Anne E Goodenough; Adam G Hart; Richard Stafford
Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

9.  Climate effects and feedback structure determining weed population dynamics in a long-term experiment.

Authors:  Mauricio Lima; Luis Navarrete; José Luis González-Andujar
Journal:  PLoS One       Date:  2012-01-17       Impact factor: 3.240

10.  Occurrence of an invasive coral in the southwest Atlantic and comparison with a congener suggest potential niche expansion.

Authors:  Lélis A Carlos-Júnior; Danilo M Neves; Newton P U Barbosa; Timothy P Moulton; Joel C Creed
Journal:  Ecol Evol       Date:  2015-05-06       Impact factor: 2.912

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.