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Environmetrics invites contributions to special issue on Climate and Sustainable Energy Econometrics and Statistics from academics and policy researchers to develop new econometric and statistical methods to be applied to climate, environmental, and sustainable energy problems and foster academic understanding and policy maker decisions.
Of particular interest, but without limiting the focus, are the following themes of interest:
- Disentangling anthropogenic contribution to climatic change:
- Investigate the anthropogenic impact on climatic change versus natural evolving patterns.
- Explore the behavioural responses of individuals in the face of changing climatic conditions, with emphasis on economic and financial implications.
- Modelling the green transition
- Examine the role of renewable energy in the transformative process for industrialized countries.
- Investigate economic and financial implications associated with the transition to green energy and a carbon-free economy.
- Understanding nonlinearities in climatic phenomena
- Explore nonlinear aspects, such as tipping points, and identify structural breaks in intensity and variability.
- Analyze signals of persistent or permanent changes in the natural environment using time series analysis and econometrics.
- Novel methods and applications
- Encourage applications ranging from modelling environmental and climatic phenomena, including temperatures, droughts, precipitations, storms and hurricanes, sea-level rise, ice sheet melting, and glacial dynamics, to disentangling anthropogenic and natural sources of radiative forcing.
- Submission opening date: 15 February 2024
- Submission deadline: 15 May 2024
- First review closing date (manuscript decision): September 2024
- Final Decision date: December 2024
- Publication date: February 2025
Claudio Morana, Department of Economics, Management and Statistics, University of Milano-Bicocca, Milan, Italy
Jennifer Castle, Magdalen College, University of Oxford, Oxford OX1 4AU, UK
J. Isaac (Zack) Miller, Department of Economics, University of Missouri, Columbia, MO 65211, USA
Tommaso Proietti, Facoltà di Economia, Università degli Studi di Roma "Tor Vergata", Rome, Italy
Wiley-TIES 2020 Best Paper Award
We are delighted to announce the winner of the Wiley-TIES best paper award for 2020. The award has been given to the article:
Beck, N, Genest, C, Jalbert, J, Mailhot, M. Predicting extreme surges from sparse data using a copula‐based hierarchical Bayesian spatial model. Environmetrics. 2020; 31:e2616.
The paper presents an innovative solution to assessing the risk of overland flooding due to extremal surges for the Atlantic coast of Canada, addressing the problem of data sparsity and incompleteness in space and time. The authors use a combination of extreme value theory, spatial statistics in a hierarchical Bayesian approach as a modeling framework. The model implemented includes tail dependence between observed extremes, which is key for risk assessment of concurrent extreme events.
The winning paper is well written with large potential for applications on the evaluation of risk to coastal extreme events, in light of climate change. The proposed methods have a potential for broader use and provide a significant contribution to research in environmetrics.
On behalf of the award committee:
Lelys Bravo - TIES president 2019-2021
Elena Naumova - TIES Communication office
Francesco Finazzi - TIES Regional representative
28 April 2021
Call for Papers: Special Issue on Statistical Inference for Natural Resources and Biodiversity
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
To submit your work, submit via Research Exchange
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 deadline: closed on 31 October 2023
Accepted papers will be published in Early View soon after acceptance
Sara Franceschi, Department of Economics and Statistics, University of Siena, [email protected]
Caterina Pisani, Department of Economics and Statistics, University of Siena; NBFC, National Biodiversity Future Center, Palermo, 90133, Italy, [email protected]
Special Issue: Environmental Data Science: Part 2
Environmetrics has just published a special issue:
Environmental Data Science: Part 2
Read the editorial by Wesley S. Burr, Nathaniel K. Newlands and Andrew Zammit-Mangion for free here. The entire special issue is available to read now here.
Special Issue: Environmental Data Science: Part 1
Environmetrics has just published a special issue:
Environmental Data Science: Part 1
Special Issue: Joint Outcome Modeling in Environmetrics
Environmetrics has just published a special issue on Joint Outcome Modeling in Environmetrics. Read the editorial by Charmaine B. Dean and Elizabeth M. Renouf for free here. The entire special issue is available to read now here.
Devin Johnson has recently retired from the Editorial Board. I wish to thank him for the invaluable contribution to the journal.
I would like to welcome the following new Associate Editors who have recently joined the Editorial Board of Environmetrics: Peter Atkinson, Stefano Castruccio, Robert Erhardt, Giada Adelfio, Philippe Naveau, and Murali Haran.
Wiley-TIES Best Paper Award 2019
A model for Antarctic surface mass balance and ice core site selection. Philip A. White, C. Shane Reese, William F. Christensen, Summer Rupper.
This award was established in 2014, in conjunction with Professor W. Piegorsch - former Editor-in-Chief of Environmetrics. All regular submissions to the journal accepted in 2019 were considered for the award.
The winning paper:
- Presents a novel theory or methodology for a relevant and current environmental application;
- Is well written with large potential for impact; and
- Provides a significant contribution to environmetric research.
Wiley-TIES Best Student Award 2018
This year's award winner is Melanie Meis, Atmospheric and Oceanic Department of the Universidad de Buenos Aires, Argentina. She was awarded her prize at the TIES 2018 Conference in Guanajuato, Mexico in July. Her project is titled: 'Climate Forcing and Extreme Events. Parana and Uruguay River's Case of Study.'
A brief description of her work:
'Due to climate change and its impact in the precipitation, it is necessary to continue the studies of extreme events. This work focuses on the ones that take place in river’s discharges. We propose to analyse extreme streamflow events in the La Plata Basin, particularly in Parana and Uruguay rivers. We start by obtaining the diphase between ´ NI·O 3.4, SOI indices and seasonal discharges. We leverage these results and compute the probability of joint occurrence of extreme events and the corresponding return period. Moreover, we estimate the probability of extreme streamflow events, given values of the index from previous period.
Virtual Issue: Bayesian Environmetrics
"This Virtual Issue is intended to highlight our recent efforts in the growing area of Bayesian and hierarchical modeling, to help illuminate the many open quantitative questions in this contemporary research arena. We hope the collection proves interesting, and that it stimulates further mathematical and statistical developments in the ongoing study of how Bayesian strategies can advance environmetric practice."
Walter W. Piegorsch
On the Cover
Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets
-  25 February 2024
Sampling design methods for making improved lake management decisions
-  8 February 2024
Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability
-  1 February 2024
Structural equation models for simultaneous modeling of air pollutants
-  14 January 2024
2023 Editorial Collaborators
-  14 January 2024
The following is a list of the most cited articles based on citations published in the last three years, according to CrossRef.
Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values
-  June 1994
Bayesian stable isotope mixing models
-  19 July 2013
Principal component analysis for compositional data with outliers
-  11 February 2009
Characterization of the trophic conditions of marine coastal waters with special reference to the NW Adriatic Sea: proposal for a trophic scale, turbidity and generalized water quality index
-  4 December 1998
Performance of partial Mann–Kendall tests for trend detection in the presence of covariates
-  16 January 2002