Environmetrics invites submissions for a Special Issue on Statistical Inference for Natural Resources and Biodiversity.
The investigation of the environment and connected problems represents a burning issue for current scientific research. The rapid decline of biodiversity at global and local scales, the increase in the number of damaged species and desertification processes due to climate changes, land-use changes and air pollution, the conservation and enhancement of forest carbon stocks paired with the sustainable management of forests and animal populations are solely some of the issues requiring a reliable assessment of environmental indicators, as well as a suitable modelling for explanation and prediction purposes.
In this context, the Special Issue derives from the Second International Workshop on “Statistical Inference for Assessing and Monitoring Natural Resources and Biodiversity”, held at the Department of Economics and Statistics of the University of Siena on 8-9 November 2022, and supported by the NBFC (funded by Italian Ministry of University and Research PNRR, Project CN00000033). In accordance with the workshop’s main goals, this Special Issue aims to gather environmental statisticians and quantitative naturalists to propose and discuss methodological advances as well as to apply enhanced methodologies in the field of environmental and biodiversity research.
Topics of interest include, but are not limited to:
- species distribution
- habitat assessment
- biodiversity assessment
- wildlife populations monitoring
- forest resources monitoring
- remote sensing for environmental monitoring
- sampling strategies for plant and animal populations
- soil, water, and air quality monitoring
How to Submit
Log in and select ‘Research article’ as manuscript type.
In the Additional Information section, indicate that you are submitting for a special issue and select Statistical Inference for Natural Resources and Biodiversity. Complete the submission.
The Intended Authorship
Statisticians and quantitative naturalists who can proffer substantive statistical advances for assessing and monitoring ecological diversity and the effects of environmental variables on plant and animal communities. Authors should propose novel or enhanced statistical methodology with clear applications to these topics.
The Intended Readership
Professional statisticians, scholars, and researchers concerned with quantitative issues in the environmental, ecological, and associated biological sciences.
- Submission opening date: 28 February 2023
- Submission deadline (papers submitted to Research Exchange): 15 July 2023
- First review closing date (manuscript decision): 15 October 2023
- Final Decision date: 15 December 2023
- Publication date: 31 December 2023; online first: immediately after acceptance
Sara Franceschi, Department of Economics and Statistics, University of Siena, firstname.lastname@example.org
Caterina Pisani, Department of Economics and Statistics, University of Siena; NBFC, National Biodiversity Future Center, Palermo, 90133, Italy, email@example.com