Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can be a problem for parameter estimation because it inflates the variance of regression parameters and hence potentially leads to the wrong identification of relevant predictors in a statistical…
Ecography Template
Write in a clean editor, then format for Ecography in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Ecography format
Ecography is a peer-reviewed journal published by Wiley, covering Ecology and Vegetation Dynamics Studies, Species Distribution and Climate Change, Wildlife Ecology and Conservation.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Ecography 12 (3): 45–58.
Formats any DOI in Ecography style. No sign-up. |
| Publishes research in | Ecology and Vegetation Dynamics Studies Species Distribution and Climate Change Wildlife Ecology and Conservation Plant and animal studies Animal Ecology and Behavior Studies |
| ISSN | 0906-7590 |
| Citation impact (2-yr) | 4.5 |
| h-index | 198 |
| i10-index | 3,671 |
| Total citations | 312,074 |
| Article processing charge | $2,200 |
| Open access | Yes |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Ecography per year
Citation impact of Ecography by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Ecography
Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, yet little effective guidance on how best to use this information in the context of numerous approaches for modelling distributions. To meet this need, we…
Accurate modeling of geographic distributions of species is crucial to various applications in ecology and conservation. The best performing techniques often require some parameter tuning, which may be prohibitively time‐consuming to do separately for each species, or unreliable for small or biased datasets. Additionally, even with the abundance of good quality data, users interested in…
The MaxEnt software package is one of the most popular tools for species distribution and environmental niche modeling, with over 1000 published applications since 2006. Its popularity is likely for two reasons: 1) MaxEnt typically outperforms other methods based on predictive accuracy and 2) the software is particularly easy to use. MaxEnt users must make…
Species distributional or trait data based on range map (extent‐of‐occurrence) or atlas survey data often display spatial autocorrelation, i.e. locations close to each other exhibit more similar values than those further apart. If this pattern remains present in the residuals of a statistical model based on such data, one of the key assumptions of standard…