Input data resolution affects the conservation prioritization outcome of spatially sparse biodiversity features.

ABSTRACT: Detailed spatial data are an essential part of land use planning and decision-making. Their spatial resolution sets limitations to their use, as coarse datasets are not suitable for detecting small-scale phenomena. In this study, we explored the effects of spatial resolution on the ecological outcome of a conservation prioritization process in Zonation software. Our study area was in Evo, southern Finland, covering a mosaic of managed and conserved forests. We produced the feature layers describing the forest characteristics using high-resolution remote sensing datasets, object-based mapping methods, and forest site type data. We found that increasing the resolution above the 16 m baseline resolution resulted in substantial errors. The conservation errors were the highest for rare features

SUBMITTER: Tanhuanpaa T 

PROVIDER: S-EPMC10562354 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature