Ecosystem services and biodiversity in production forests; synergies and conflicts
Main funder
Funder's project number: 275329
Funds granted by main funder (€)
- 562 173,00
Funding program
Project timetable
Project start date: 01/09/2014
Project end date: 31/08/2018
Summary
The ability of ecosystems to simultaneously provide ecosystem services and maintain biological diversity has become the central issue in the sustainable use of natural resources. Despite immense research attention to ecosystem services and biodiversity during the past decade, our understanding of the relationship between biodiversity, ecosystem processes and provision of services remains fairly obscure. We do not know much about when to expect trade-offs or synergies or how to minimize trade-offs and enhance synergies. Moreover, our capacity of putting this knowledge into practice is limited. In this project we 1) measure and map synergies and conflicts among alternative ecosystem services boreal forest landscapes can produce and 2) study how management for cosystem services affects the capacity of the landscape to maintain biodiversity. 3) We further aim at revealing forest management plans that would provide optimal solutions to potential conflicts across the full array of considered objectives (ecosystem services and biodiversity). We consider a wide set of valuable ecosystem provisioning, regulating and cultural services boreal forest can provide (e.g. timber, game, collectable forest goods, carbon storage, recreational values). We consider alternative aspects of biodiversity including habitat availability for indicator and umbrella species, availability of critical resources, and plant species richness. Our analysis on ecosystem services and biodiversity will likely produce an array of efficient combinations of management regimes, i.e. a set of Pareto-ptimal plans. To assist decision makers in selecting a plan for implementation, 4) we develop decision support tools that would help putting into practice the results from our analysis. This tool will help in multi-objective planning for efficient management of forest resources. We will compile forest stand data from two large forest landscapes (tens of km2) from southern Finland both containing tens of thousands of stands that have attributes determining their contribution to ecosystem services and biodiversity. All stands in this landscape will be simulated 50 yrs into the future using MOTTI stand simulator. Simulations will be carried out with seven alternative management regimes ranging from the current management recommendations to total set-aside. In developing the decision support tools we will use the IND-NIMBUS platform developed by our team members for industrial problems.
Principal Investigator
Primary responsible unit
Related publications and other outputs
- Increasing human environmental footprint does not lead to biotic homogenization of forest bird communities in northern USA (2023) Le Tortorec, Eric; et al.; A1; OA
- Forest multifunctionality is not resilient to intensive forestry (2021) Pohjanmies, Tähti; et al.; A1; OA
- High boreal forest multifunctionality requires continuous cover forestry as a dominant management (2021) Eyvindson, Kyle; et al.; A1; OA
- Changing forest stakeholders’ perception of ecosystem services with linguistic nudging (2019) Isoaho, K.; et al.; A1; OA
- Quantifying and easing conflicting goals between interest groups in natural resource planning (2019) Eyvindson, Kyle; et al.; A1; OA
- Value of information in multiple criteria decision making : an application to forest conservation (2019) Eyvindson, Kyle; et al.; A1; OA
- Evaluating a hierarchical approach to landscape level harvest scheduling (2018) Eyvindson, Kyle; et al.; A1; OA
- Guidelines for risk management in forest planning – what is risk and when is risk management useful? (2018) Eyvindson, Kyle; et al.; A2; OA
- Habitat quality is more important than matrix quality for bird communities in protected areas (2018) Häkkilä, Matti; et al.; A1; OA
- Integrating risk management tools for regional forest planning : an interactive multiobjective value at risk approach (2018) Eyvindson, Kyle; et al.; A1; OA