Adopting a holistic approach to maximise forest-based climate change mitigation

Adopting a holistic approach to maximise forest-based climate change mitigation

The European Forest Institute published a new study with the title Forest-based climate change mitigation and adaptation in Europe in the From Science to Policy series. This analysis focuses on the role of forests and wood use in contributing to mitigate climate change. The 12 authors from 7 different countries conclude that European forests and wood products can play a crucial role in achieving climate neutrality by 2050. However, their potential is not enough to compensate for a lack of actions in other areas.

In particular, the study focuses on the role of forests in the removal of green house gas emissions. Moreover, the authors investigate how to maximise the effectiveness of forests contributions to climate change mitigation and adaptation. The study recommends the adoption of a holistic approach, where multiple forest-base mitigation actions are combined to foster synergies, interactions, co-benefits, and regional applicability.

Read the full open access study

Download the associated policy brief

Reference

Verkerk, P.J., Delacote, P., Hurmekoski, E., Kunttu, J., Matthews, R., Mäkipää, R., Mosley, F., Perugini, L., Reyer, C. P. O., Roe, S., Trømborg, E. 2022. Forest-based climate change mitigation and adaptation in Europe. From Science to Policy 14. European Forest Institute https://doi.org/10.36333/fs14



Discover the GlobalFungi Database

Discover the GlobalFungi Database

The GlobalFungi Database collects published data on the composition of the fungal community obtained through the Next Generation Sequencing (NGS) method and provides access to this information though an effective online interface.

NGS methods have completely transformed how fungal ecology is understood, and innovations brought forward by high-throughput-sequencing methods have led to an abundance of fungal sequencing data. Observing this, a team of researchers from the Institute of Microbiology of the Czech Academy of Sciences in Prague decided to create the GlobalFungi Database to make this data findable, accessible, interoperable, and reusable (according to the FAIR Principles) allowing users to access this data in a convenient way.

The GlobalFungi Database collects information on fungal communities in every terrestrial habitat (soil, litter, dead plant material, living plant tissues, water, air, dust, etc) excluding those subject to experimental manipulation. The website encourages members of the scientific community to participate by submitting more data on the database; Holisoils website has a page with information on how to use GlobalFungi database to submit your study.

Have a look at the GlobalFungi Database!

Young scientist session on Climate Smart Forestry

EFI Annual Conference, 5 October 2022

Call for grants now closed but you can still register to join the session!

https://efi.int/membership/ac/2022

A great opportunity to present your research on Climate Smart Forestry at this year’s EFI annual conference!

Grants (750 EUR) are available to support young researchers to present research in the field of climate-smart forestry.

  • 10 min presentation in person on your research
  • Participation in a panel discussion during the Climate Smart Forestry Session

The call is open to researchers from EFI Associate and Affiliate member organisations.

Full information on the open call:

https://efi.int/news/open-call-participation-young-scientist-session-climate-smart-forestry-2022-05-30

PhD defence invitation – Soil organic carbon modelling

PhD defence invitation – Soil organic carbon modelling

PhD candidate Elisa Bruni from the Climate and Environmental Sciences Laboratory (LSCE) in France is pleased to invite you to her doctoral thesis defence entitled “Soil organic carbon modelling: estimating carbon input changes required to reach policy objectives aimed at increasing soil organic carbon stocks”.

The defence will take place on Monday 28 March 2022 at 2:00 p.m. in Amphi 7 of AgroParisTech (Paris-Maine), located at 19 Avenue du Maine, 75015 Paris. For those who prefer to attend remotely, you can join the videoconference through the following link (Meeting ID: 930 0252 2076 / Password: 954715). The presentation will be held in English.


The thesis jury board is composed of the following experts:

  • Axel DON, Senior Lecturer, Thünen Institute (Germany) – Rapporteur & Examiner
  • Isabelle BASILE, Research Director, INRAE Centre PACA (France) – Rapporteur & Examiner
  • Sébastien Barot, Director of Research, IRD (France) – Examiner
  • Patricia Garnier, Director of Research, INRAE (France) – Examiner
  • Emanuele Lugato, Project manager, Joint Research Centre (Europe) – Examiner
  • Stefano Manzoni, Senior Lecturer, Stockholm University (Sweden) – Examiner
  • Claire Chenu, Director of Research, INRAE (France) – Thesis director
  • Bertrand Guenet, Research Fellow, INRAE (France) – Examiner
  • Denis Angers, Honorary Director of Research, Université de Laval (Canada) – Invited
  • Gaby Deckmyn, Senior Scientist, University of Antwerp (Belgium) – Invited

Thesis abstract

To partially compensate for CO2 emissions, the 4 per 1000 initiative proposed an annual 4‰ soil organic carbon (SOC) stock increase. Yet, the feasibility of such an ambitious target is still under debate. The most efficient way to increase the SOC stocks is to increase the C input to the soil. The objective of this thesis was to estimate the C input required to yearly increase the SOC stocks by 4‰ in European croplands.

To solve this problem, we built an inverse modelling approach and tested it on a SOC model, by estimating the C input required to reach the 4‰ objective at multiple long-term agricultural experiments in Europe. Then, we applied this approach to a multimodel ensemble, to assess the uncertainties of the estimations according to different representations of the SOC dynamics. As a first attempt to provide insights for policymakers on the feasibility of a 4‰ target in Europe, we applied a multi-model ensemble over the whole European cropland area, and we generated maps of the required C input under two scenarios of climate change. To improve the simulation of SOC stocks at the European scale, we tested a new, statistically derived, parametrization technique.

Our study demonstrates that there are substantial uncertainties around the C input required to reach a 4‰ target. However, a general pattern emerges at the European cropland scale, where the 4‰ target seems feasible under future scenarios of climate change, only assuming drastic increases of C input to the soil.