0000000001328308

AUTHOR

Ari Lahtinen

Modeling of Dead Wood Potential Based on Tree Stand Data

Here we present a framework for identifying areas with high dead wood potential (DWP) for conservation planning needs. The amount and quality of dead wood and dying trees are some of the most important factors for biodiversity in forests. As they are easy to recognize on site, it is widely used as a surrogate marker for ecological quality of forests. However, wall-to-wall information on dead wood is rarely available on a large scale as field data collection is expensive and local dead wood conditions change rapidly. Our method is based on the forest growth models in the Motti forest simulator, taking into account 168 combinations of tree species, site types, and vegetation zones as well as …

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Spatial conservation prioritization of Finnish forests for more sustainable land use planning

Accelerating use of natural resources causing harmful impacts on biodiversity, together with limited resources for conservation, highlight the importance of developing cost-effective, ecologically sustainable land use planning approaches. In Finland, a recent conservation project “METSO - Forest Biodiversity Programme for Southern Finland” tackles the challenge of integrating conservation with sustainable forestry to halt the decline in forest species and habitats. A core element in METSO is the spatial conservation prioritization of forests to supplement the current protected area network, based on concepts of complementarity, and voluntarity. These analyses pave way towards new practices …

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Ranking Natura 2000 habitats and Natura 2000 areas for nature

We ranked 1 541 Finnish Natura 2000 areas and their 69 different habitat types for ecological restoration and nature management based on their potential for cost-effective ecosystem improvement. We did it by Zonation software and its principles: complementarity, connectivity, condition and cost-effectiveness. We had biodiversity data (GIS: location and current state of 67 N2000 habitats and threatened species) and expert knowledge of improvement methods, effects and costs. As results we got maps, curves of trade-offs and also a ranking list of Natura 2000 areas. peerReviewed

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