Integrating regional forest productivity maps with supplemental data to optimize forest management priority: A case study in Ibiza (Spain)

Abstract

Forest Management Priority (FMP) refers to the allocation of limited resources in forestry to achieve pre-established objectives. In Mediterranean forests, wildfire suppression is a primary focus yet challenges arise when forest management needs to be actively implemented. Additionally, productivity, a critical factor in FMP, is often overlooked. In response, we propose (1) a method to estimate forest productivity using remote sensing and (2) the integration of this data into a GIS-based Multiple-Criteria Decision Analysis (MCDA) framework with a participatory approach to propose a novel FMP index for Mediterranean forests. This method aims to enhance FMP by guiding resource allocation to key areas, using the island of Ibiza as a test case. Our approach to mapping forest productivity yielded a 20.4 % relative error in site index and 43.5 % in mean annual increment. Incorporating this data into the GIS MCDA allows decision-makers to evaluate multiple information layers also including wildfire risk, terrain slope, forest stress, accessibility, and landscape visibility. We tested five prioritization scenarios: high productivity, environmental protection, wildfire risk management, a multipurpose scenario, and a business-as-usual scenario. When comparing the FMP index distribution, most scenarios showed a broader prioritization of areas than current practices, highlighting opportunities for improvement. In the high productivity scenario, 0.903 M m³ of timber were categorized as high priority for management, translating to a mean annual growth of 20,539 m³. We believe this work provides a valuable framework for stakeholders to adopt better forest management practices, promoting bioeconomy and optimizing the use of limited public and private funds.