CATENA
Volume 14 • Issue 14
- ISSN: 0341-8162
- 5 Year impact factor: 5.9
- Impact factor: 5.4
Catena is an interdisciplinary journal of soil science and geomorphology with a focus on geoecology, landscape ecology, landscape evolution and hydrology. Original research… Read more
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Request a sales quoteCatena is an interdisciplinary journal of soil science and geomorphology with a focus on geoecology, landscape ecology, landscape evolution and hydrology. Original research papers, comments, and reviews linking field, laboratory, and/or modelling results, integrating different geospheres, and discussing soil and landscape processes on different spatial and temporal scales will be considered, provided they are sufficiently novel and of broad interest.
Reviews are expected to critically discuss and synthesise findings and approaches on topics falling within the core aims of Catena. Short comments (no more than 2 journal pages i.e. ca. 2000 words) are considered for publication only if they bring important scientific new elements and/or corrections/improvements on substantial aspects of previously published articles.
Manuscripts that will not be considered include papers on the following topics:
Research papers summarising literature results, and bibliometric analyses (meta-analyses are not included).
Studies without explicit relation to landscape patterns or processes, such as:
Purely geological or groundwater studies.
Runoff studies that have no relation to soil or geomorphic change.
Chemical laboratory experiments with no relation to ‘real’ field conditions.
Microbiological studies with no relation to soil formation or landscape processes.
Geotechnical and environmental engineering studies.
Geobotanical, ecological and vegetation studies with no (or limited) relation to soil, hydrology, geomorphology or landscape evolution.
Agricultural/crop production experiments without a solid relation to landscape.
Studies on ecosystem services and land use planning.
Comparisons of the performance and robustness of models and statistical methods (e.g. process-based, or machine learning) with no or only a minimal landscape-learning effect.
Regionally oriented studies which cannot be applied to other landscapes (or lack novelty in approach or methodology).
The Chairs of the Editors-in-Chief do not accept pre-submission enquiries to determine if a manuscript is likely to be of interest to the journal.
- ISSN: 0341-8162
- Volume 14
- Issue 14
- 5 Year impact factor: 5.9
- Impact factor: 5.4