Ecography

Aims & Scope

ECOGRAPHY publishes exciting, novel, and important articles that significantly advance understanding of ecological or biodiversity patterns in space or time.

Papers focusing on conservation or restoration are welcomed, provided they are anchored in ecological theory and convey a general message that goes beyond a single case study.

We encourage papers that seek advancing the field through the development and testing of theory or methodology, or by proposing new tools for analysis or interpretation of ecological phenomena.

Manuscripts are expected to address general principles in ecology, though they may do so using a specific model system if they adequately frame the problem relative to a generalized ecological question or problem.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.7
2024	5.40

Journal Rank

Year	Value
2024	928

Journal Citation Indicator

Year	Value
2024	2646

SJR (SCImago Journal Rank)

Year	Value
2024	2.540

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	161

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

  Citation: 7724

  Authors: Carsten F., Jane, Sven, Carsten, Gudrun, Gabriel, Jaime R. García, Bernd, Bruno, Pedro J., Tamara, Colin, Patrick E., Björn, Boris, Andrew K., Damaris, Sven

• Novel methods improve prediction of species’ distributions from occurrence data

  Citation: 6866

  Authors: Jane, Catherine, Robert, Miroslav, Simon, Antoine, Robert, Falk, John, Anthony, Jin, Lucia, Bette, Glenn, Craig, Miguel, Yoshinori, Jacob, A., Steven, Karen, Ricardo, Robert, Jorge, Stephen, Mary, Niklaus

• Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

  Citation: 5227

  Authors: Steven J., Miroslav

• A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter

  Citation: 2834

  Authors: Cory, Matthew J., John A.

• Methods to account for spatial autocorrelation in the analysis of species distributional data: a review

  Citation: 2634

  Authors: Carsten, Jana, Miguel, Roger, Janine, Gudrun, Richard, Alexandre, Walter, W., Ingolf, Ralf, Pedro, Björn, Boris, Frank, Robert

• Opening the black box: an open‐source release of Maxent

  Citation: 2157

  Authors: Steven J., Robert P., Miroslav, Robert E., Mary E.

• Selecting thresholds of occurrence in the prediction of species distributions

  Citation: 2107

  Authors: Canran, Pam M., Terence P., Richard G.

• BIOMOD – a platform for ensemble forecasting of species distributions

  Citation: 2085

  Authors: Wilfried, Bruno, Robin, Miguel B.

• The effect of sample size and species characteristics on performance of different species distribution modeling methods

  Citation: 1832

  Authors: Pilar A., Catherine H., Lawrence L., Deborah L.

• spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models

  Citation: 1720

  Authors: Matthew E., Robert A., Aleksandar, Bruno, Robert P.

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