Diversity and Distributions

Aims & Scope

Diversity and Distributions is a journal of conservation biogeography.

We publish papers that deal with the application of biogeographical principles, theories, and analyses to problems concerning the conservation of biodiversity.

Appropriate topics include innovative applications or methods of species distribution modelling; the application of island biogeographic principles to conservation; developing paradigms, models and frameworks for conservation planning and risk assessment; or identifying the agents of global change, including how climate change, land use change and invasive species affect the abundance, distribution, and range boundaries of native species.

Papers must meet four criteria to be considered for publication: (1) They must have a strong biogeographic focus with clear conservation implications, or a strong conservation focus on biogeographic patterns or principles, (2) submissions must test clear hypotheses or predictions arising from theory, or derive novel insights from biogeographic patterns and biodiversity trends, (3) they must be presented clearly and concisely, and (4) their results must have clear and important implications for our understanding of biogeography and must be of potential broad interest of the readership.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.2
2024	4.60

Journal Rank

Year	Value
2024	1754

Journal Citation Indicator

Year	Value
2024	2618

SJR (SCImago Journal Rank)

Year	Value
2024	1.790

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	147

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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.

• A statistical explanation of MaxEnt for ecologists

  Citation: 5008

  Authors: Jane, Steven J., Trevor, Miroslav, Yung En, Colin J.

• Naturalization and invasion of alien plants: concepts and definitions

  Citation: 2715

  Authors: David M., Petr, Marcel, Michael G., F. Dane, Carol J.

• Effects of sample size on the performance of species distribution models

  Citation: 1907

  Authors: M. S., R. J., J., A. T., C. H., A.

• Evaluation of consensus methods in predictive species distribution modelling

  Citation: 1090

  Authors: Mathieu, Miia, Miska, Risto K., Wilfried

• The importance of correcting for sampling bias in MaxEnt species distribution models

  Citation: 1011

  Authors: Stephanie, Jürgen, John D., Boris, Jana, Vanessa, Milena, Ilja, Anne K., Dave M., Susan M., Andrew J., Joanna, David W., John, James, Andrew J., Gono, Rustam, Henry, Raymond, Hiromitsu, J. W., Christine, Jerrold L., Heribert, Andreas

• Conservation Biogeography: assessment and prospect

  Citation: 922

  Authors: Robert J., Miguel B., Paul, Richard J., James E. M., Katherine J.

• Trees and shrubs as invasive alien species – a global review

  Citation: 905

  Authors: David M., Marcel

• Reducing redundancy in invasion ecology by integrating hypotheses into a single theoretical framework

  Citation: 853

  Authors: Jane A., Roland, Christer

• Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment

  Citation: 836

  Authors: Simon, Glenn, Jane, Karen

• <scp>bioclim</scp>: the first species distribution modelling package, its early applications and relevance to most current <scp>MaxEnt</scp> studies

  Citation: 763

  Authors: Trevor H., Henry A., John R., Michael F.

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