The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests

Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data on European forests to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale. A particular advantage of this database is its wide coverage of multiple data sources at different hierarchical and temporal scales, together with environmental driving data as well as the latest climate scenarios. Specifically, the PROFOUND DB provides general site descriptions, soil, climate, CO2, nitrogen deposition, tree and forest stand level, and remote sensing data for nine contrasting forest stands distributed across Europe. Moreover, for a subset of five sites, time series of carbon fluxes, atmospheric heat conduction and soil water are also available. The climate and nitrogen deposition data contain several datasets for the historic period and a wide range of future climate change scenarios following the Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5). We also provide pre-industrial climate simulations that allow for model runs aimed at disentangling the contribution of climate change to observed forest productivity changes. The PROFOUND DB is available freely as a "SQLite" relational database or "ASCII" flat file version (at https://doi.org/10.5880/PIK.2020.006/; Reyer et al., 2020). The data policies of the individual contributing datasets are provided in the metadata of each data file. The PROFOUND DB can also be accessed via the ProfoundData R package (https://CRAN.R- project.org/package=ProfoundData; Silveyra Gonzalez et al., 2020), which provides basic functions to explore, plot and extract the data for model set-up, calibration and evaluation.Peer reviewe

Approaches to cost-effectiveness of payments for tree planting and forest management for water quality services

A B S T R A C TThe evaluation of the cost-effectiveness of Payments for ecosystem services (PES) in fostering positive environmentaloutcomes has been central to the scientific debate on their implementation. PES cost-effectiveness canbe affected by a myriad of environmental, institutional and socio-economic factors operating at different spatialand temporal scales. Moreover, it can be affected by synergies and trade-offs in the provision of ecosystemservices (ES). Planting trees is increasingly considered an effective measure to provide water-related ES. It canenhance watershed services such as nutrient retention, erosion control, stream flow regulation, protectionagainst extreme events (e.g., floods and landslides), and lead to a permanent change in land use, replacingagricultural activities that give rise to diffuse pollution. Very few studies currently exist on the cost-effectivenessof tree planting for water quality benefits PES schemes in Europe. Including both review and research elements,this paper highlights challenges in undertaking such assessments. It develops a conceptual framework to helpunderpin future studies, with its application to three case studies in Denmark explored. Particular attention isgiven to the estimation of environmental effectiveness in the provision of water quality services and theimportance of co-benefits. In the case where we exclude co-benefits from the analysis, the financial costeffectivenessis always above zero, with central estimates (without discounting environmental improvements

ACTIVAGE - D9.6 Final results report & sustainability plan (I to IX)

We have reached the end of a challenging and rewarding journey, after 45 months of ACTIVAGE, this is the last report that aims at providing a taste of the huge work done by the teams at the local sites. This is a testimony of the more than 45 partners that have participated in this WP. We started with 9 DS in 7 countries and we finish with 12 DS in 9 countries, having incorporated three new DS through the open call, and expanding ACTIVAGE vision and ecosystem to Portugal and Bulgaria. We have been able to reach the target of deploying AHA-IoT solutions for more than 7.200 users, we hit the mark of 7.776 and almost 97% of the expected deployments. All DS have been able to perform the evaluation, at local and global level, generating the evidence that ACTIVAGE vision is pertinent, relevant, and effective. Details are provided in the individual results and in D6.5. By the end of the project, still 80% of participants continue operation, and almost all DS have in place sustainability plans to continue providing ACTIVAGE services in one way or another. Even in the cases where no clear plans have been possible, there are opportunities for exploiting the services and the knowledge gained in the project

The PROFOUND database for evaluating vegetation models and simulating climate impacts on forests

Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale. A particular advantage of this database is its wide coverage of multiple data sources at different hierarchical and temporal scales, together with environmental driving data as well as the latest climate scenarios. Specifically, the PROFOUND DB provides general site descriptions, soil, climate, CO2, nitrogen deposition, tree and forest stand-level, as well as remote sensing data for nine contrasting forest stands distributed across Europe. Moreover, for a subset of five sites, time series of carbon fluxes, atmospheric heat conduction, and soil water are also available. The climate and nitrogen deposition data contain several datasets for the historic period and a wide range of future climate change scenarios following the Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5). We also provide pre-industrial climate simulations that allow for model runs aimed at disentangling the contribution of climate change to observed forest productivity changes. The PROFOUND DB is available freely as a SQLite relational database or ASCII flat file version (at https://doi.org/10.5880/PIK.2019.008). The data policies of the individual, contributing datasets are provided in the metadata of each data file. The PROFOUND DB can also be accessed via the ProfoundData R-package (https://github.com/COST-FP1304-PROFOUND/ProfoundData), which provides basic functions to explore, plot, and extract the data for model set-up, calibration and evaluation