What Data to Use for Forest Conservation Planning? A Comparison of Coarse Open and Detailed Proprietary Forest Inventory Data in Finland

The boreal region is facing intensifying resource extraction pressure, but the lack of comprehensive biodiversity data makes operative forest conservation planning difficult. Many countries have implemented forest inventory schemes and are making extensive and up-to-date forest databases increasingly available. Some of the more detailed inventory databases, however, remain proprietary and unavailable for conservation planning. Here, we investigate how well different open and proprietary forest inventory data sets suit the purpose of conservation prioritization in Finland. We also explore how much priorities are affected by using the less accurate but open data. First, we construct a set of indices for forest conservation value based on quantitative information commonly found in forest inventories. These include the maturity of the trees, tree species composition, and site fertility. Secondly, using these data and accounting for connectivity between forest types, we investigate the patterns in conservation priority. For prioritization, we use Zonation, a method and software for spatial conservation prioritization. We then validate the prioritizations by comparing them to known areas of high conservation value. We show that the overall priority patterns are relatively consistent across different data sources and analysis options. However, the coarse data cannot be used to accurately identify the high-priority areas as it misses much of the fine-scale variation in forest structures. We conclude that, while inventory data collected for forestry purposes may be useful for forest conservation purposes, it needs to be detailed enough to be able to account for more fine-scaled features of high conservation value. These results underline the importance of making detailed inventory data publicly available. Finally, we discuss how the prioritization methodology we used could be integrated into operative forest management, especially in countries in the boreal zone.Peer reviewe

Running a Zonation Planning Project

Zonation is decision support software for land use planning, including uses such as traditional design of conservation area networks or spatial impact avoidance. It is capable of data rich, large scale, high-resolution spatial prioritization. Whether using Zonation for scientific research or in real-life planning, running a successful project involves several project stages that often proceed in a somewhat iterative fashion. This document provides an overview of what those stages are, and what types of issues should be considered when planning to use Zonation. This information is intended for any individual or organization that is considering making use of Zonation. The topics addressed here are those encountered before and after the Zonation prioritization analysis itself: - Budgeting for time and resources - Setting objectives and planning how to meet them - Building a model for spatial prioritization - Data requirements and pre-processing - Setting up and organizing Zonation input files - Visualizing and interpreting the results - Creating planning products Zonation projects are also demonstrated through a set of case-studies that range from national to global scales

Green Infrastructure Design Based on Spatial Conservation Prioritization and Modeling of Biodiversity Features and Ecosystem Services

There is high-level political support for the use of green infrastructure (GI) across Europe, to maintain viable populations and to provide ecosystem services (ES). Even though GI is inherently a spatial concept, the modern tools for spatial planning have not been recognized, such as in the recent European Environment Agency (EEA) report. We outline a toolbox of methods useful for GI design that explicitly accounts for biodiversity and ES. Data on species occurrence, habitats, and environmental variables are increasingly available via open-access internet platforms. Such data can be synthesized by statistical species distri- bution modeling, producing maps of biodiversity features. These, together with maps of ES, can form the basis for GI design. We argue that spatial conservation prioritization (SCP) methods are effective tools for GI design, as the overall SCP goal is cost-effective allocation of conservation efforts. Corridors are currently promoted by the EEA as the means for implementing GI design, but they typically target the needs of only a subset of the regional species pool. SCP methods would help to ensure that GI provides a balanced solution for the requirements of many biodiversity features (e.g., species, habitat types) and ES simultaneously in a cost- effective manner. Such tools are necessary to make GI into an operational concept for combating biodiversity loss and promoting ES.Peer reviewe

Academic publishing empires need to go

Non peer reviewe

The impact of weather and the phase of the rodent cycle on breeding population of waterbirds in Finnish Lapland

Peer reviewe