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The need for criteria and indicators to qualitatively assess forest development
Climate change is altering forest composition and structure globally, necessitating forecasts of management approaches to sustain forest ecosystem services (ESS). Models of forest development (MFD) and decision support systems (DSS) are key tools, but linking their outputs to specific ESS indicators remains challenging. This project aims to identify and assess the use of criteria and indicators in forestry, evaluate modelling results from MFD and DSS, and match these outputs with relevant forest characteristics such as biodiversity and carbon storage. The goal is to develop proxies for assessing the potential diversity of future forests.
Keywords: Climate change, forest ecosystem services, forest development models, decision support systems,
sustainability indicators
Climate change is altering the composition and structure of forests worldwide. To ensure that we can continue benefitting from the many useful forest functions, or forest ecosystem services (ESS) that they provide, scientists are forecasting the consequences of alternative management approaches into the future – often over strategic timeframes of multiple decades or even centuries. The tools used for doing so include models of forest development (MFD) and decision support systems (DSS). One remaining challenge when using MFD and DSS is linking abstract model outputs with specific indicators that tell us how ESS develop over time. While criteria and indicators (C&Is) have been used to assess the sustainability of forest management since the Montreal process [1] and a common understanding of sustainable forest management comprising management principles, guidelines and indicators exists across Europe, to monitor the progress of forests towards goals outlined in the EU forest strategy [2] using such C&I to analyse abstract modelling output remains a challenge. For example: Number of breeding pairs of a specific bird species may be a good indicator for diversity, however, a computer-based forest model will not be able to deliver this information [3]. At best we may get specific forest structures from our model. To assess the potential diversity of future forests therefore requires a different, modellable indicator.
Climate change is altering the composition and structure of forests worldwide. To ensure that we can continue benefitting from the many useful forest functions, or forest ecosystem services (ESS) that they provide, scientists are forecasting the consequences of alternative management approaches into the future – often over strategic timeframes of multiple decades or even centuries. The tools used for doing so include models of forest development (MFD) and decision support systems (DSS). One remaining challenge when using MFD and DSS is linking abstract model outputs with specific indicators that tell us how ESS develop over time. While criteria and indicators (C&Is) have been used to assess the sustainability of forest management since the Montreal process [1] and a common understanding of sustainable forest management comprising management principles, guidelines and indicators exists across Europe, to monitor the progress of forests towards goals outlined in the EU forest strategy [2] using such C&I to analyse abstract modelling output remains a challenge. For example: Number of breeding pairs of a specific bird species may be a good indicator for diversity, however, a computer-based forest model will not be able to deliver this information [3]. At best we may get specific forest structures from our model. To assess the potential diversity of future forests therefore requires a different, modellable indicator.
In this Bachelor project you will: (1) identify and assess the various uses of criteria and indicators in forestry based on a literature review, (2) assess exemplary modelling results from MFD and DSS that will be provided by your supervisory team regarding output data types and structures, and finally (3) form matches between indicators and modelling output for the most relevant forest characteristics such as biodiversity, potential for carbon storage and sequestration, timber production and others, or develop proxies for doing so.
**Methods**
Literature review, review of European and international policies and forest/ timber certification standards, review of forest planning tools and models, and the way data is used in them.
**Wanted**
Highly motivated student interested in contributing to the closing of an important research gap between real world assessments of biodiversity and other forest characteristics, and the modelling tools used today.
**You will get to**
- Deepen your knowledge about the use of criteria and indicators in forest assessment, planning, and management.
- Expand your network by discussing your work with experts from different fields of forest sciences.
- Be a co-author on a publication resulting from this work.
- Be part of a motivated, fun, and energetic team of scientists.
In this Bachelor project you will: (1) identify and assess the various uses of criteria and indicators in forestry based on a literature review, (2) assess exemplary modelling results from MFD and DSS that will be provided by your supervisory team regarding output data types and structures, and finally (3) form matches between indicators and modelling output for the most relevant forest characteristics such as biodiversity, potential for carbon storage and sequestration, timber production and others, or develop proxies for doing so.
**Methods**
Literature review, review of European and international policies and forest/ timber certification standards, review of forest planning tools and models, and the way data is used in them.
**Wanted**
Highly motivated student interested in contributing to the closing of an important research gap between real world assessments of biodiversity and other forest characteristics, and the modelling tools used today.
**You will get to**
- Deepen your knowledge about the use of criteria and indicators in forest assessment, planning, and management.
- Expand your network by discussing your work with experts from different fields of forest sciences.
- Be a co-author on a publication resulting from this work.
- Be part of a motivated, fun, and energetic team of scientists.
Supervisor: Prof. Dr. Verena Griess
The project has a flexible starting date.
If the idea of participating in cutting-edge interdisciplinary research excites you, please contact verena.griess(at)usys.ethz.ch. The FORM team is looking forward to hearing from you!
**References**
1. The Montréal Process. "Criteria and Indicators for the Conservation and Sustainable Management of Temperate and Boreal Forests". Accessed May 29, 2024. http://montrealprocess.org/documents/publications/techreports/MontrealProcessSeptember2015.pdf
2. Communication from the Commission to the European Parliament, The Council, The European Economic and Social Committee and the Committee of the Regions. “New EU Forest Strategy for 2030” Accessed May 29, 2024. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021DC0572
3. Raimo et al. (2022): Developing fine-grained nationwide predictions of valuable forests using biodiversity indicator bird species. Ecological Applications 32(2). https://doi.org/10.1002/eap.2505
**Further reading**
- Bayram, B.Ç. A sustainable forest management criteria and indicators assessment using fuzzy analytic hierarchy process. Environ Monit Assess 193, 425 (2021). https://doi.org/10.1007/s10661-021-09176-x
- Blattert, C. et al. (2017): Management of ecosystem services in mountain forests: Review of indicators and value functions for model based multi-criteria decision analysis. Ecological indicators 79 (391-409) http://dx.doi.org/10.1016/j.ecolind.2017.04.025
- FSC (2023): FSC-STD-60-004 International Generic Indicators Standard (STD) V(2-1). https://connect.fsc.org/document-centre/documents/resource/262
- Mäkelä et al. (2021): Using stand-scale forest models for estimating indicators of sustainable forest management. Forest Ecology and Management 285 (164-178). https://doi.org/10.1016/j.foreco.2012.07.041
- UNECE (2019): Guidelines for the Development of a Criteria and Indicator Set for Sustainable Forest Management. Accessed May 29, 2024. https://unece.org/forests/publications/guidelines-development-criteria-and-indicator-set-sustainable-forest
- COMMISSION STAFF WORKING DOCUMENT IMPACT ASSESSMENT REPORT Accompanying the proposal for a Regulation of the European Parliament and of the Council on a monitoring framework for resilient European forests (2023). Accessed May 29, 2024. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=SWD:2023:0373:FIN See Annex 5 Background on Forest Monitoring and forest-related Planning 5.2.1 Further information on indicators
Supervisor: Prof. Dr. Verena Griess
The project has a flexible starting date.
If the idea of participating in cutting-edge interdisciplinary research excites you, please contact verena.griess(at)usys.ethz.ch. The FORM team is looking forward to hearing from you!
**References**
1. The Montréal Process. "Criteria and Indicators for the Conservation and Sustainable Management of Temperate and Boreal Forests". Accessed May 29, 2024. http://montrealprocess.org/documents/publications/techreports/MontrealProcessSeptember2015.pdf 2. Communication from the Commission to the European Parliament, The Council, The European Economic and Social Committee and the Committee of the Regions. “New EU Forest Strategy for 2030” Accessed May 29, 2024. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021DC0572 3. Raimo et al. (2022): Developing fine-grained nationwide predictions of valuable forests using biodiversity indicator bird species. Ecological Applications 32(2). https://doi.org/10.1002/eap.2505
**Further reading**
- Bayram, B.Ç. A sustainable forest management criteria and indicators assessment using fuzzy analytic hierarchy process. Environ Monit Assess 193, 425 (2021). https://doi.org/10.1007/s10661-021-09176-x - Blattert, C. et al. (2017): Management of ecosystem services in mountain forests: Review of indicators and value functions for model based multi-criteria decision analysis. Ecological indicators 79 (391-409) http://dx.doi.org/10.1016/j.ecolind.2017.04.025 - FSC (2023): FSC-STD-60-004 International Generic Indicators Standard (STD) V(2-1). https://connect.fsc.org/document-centre/documents/resource/262 - Mäkelä et al. (2021): Using stand-scale forest models for estimating indicators of sustainable forest management. Forest Ecology and Management 285 (164-178). https://doi.org/10.1016/j.foreco.2012.07.041 - UNECE (2019): Guidelines for the Development of a Criteria and Indicator Set for Sustainable Forest Management. Accessed May 29, 2024. https://unece.org/forests/publications/guidelines-development-criteria-and-indicator-set-sustainable-forest - COMMISSION STAFF WORKING DOCUMENT IMPACT ASSESSMENT REPORT Accompanying the proposal for a Regulation of the European Parliament and of the Council on a monitoring framework for resilient European forests (2023). Accessed May 29, 2024. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=SWD:2023:0373:FIN See Annex 5 Background on Forest Monitoring and forest-related Planning 5.2.1 Further information on indicators