Habitat diversity as a taxon-dependent tool for predicting red-listed forest species

Abstract

Habitat features associated with species niches are commonly used as biodiversity proxies. Such proxies usually describe habitat diversity and have seldom been evaluated in a forestry context. As demands on forests to mitigate climate change and biodiversity loss increase, Conservation Value Assessments (CVAs) based on habitat diversity are increasingly utilised to guide conservation and resource extraction decisions. In central Sweden, we investigated the effectiveness of two widely used CVA protocols that assess forest habitat diversity to determine their ability to predict the occurrence of red-listed species for conservation prioritisation. We found that the tested CVAs effectively predicted the occurrence of red-listed wood-inhabiting bryophytes and fungi but were less effective for epiphytic and epixylic lichens or for predicting the occurrence of red-listed species across these three taxo-ecological groups. For red-listed bryophytes and fungi, we were able to identify ecological transition points where the probability of species occurrence had its most rapid increase. In addition, we identified threshold values above which the probability of finding one red-listed species was higher than not finding any red-listed species. These findings define conservation priority zones, which can guide prioritisation and restoration targets. Moreover, our study clearly shows that sites occupied by red-listed species had higher local species richness of non red-listed species in the same organism group. In conclusion, CVAs based on habitat diversity are valuable for identifying and prioritising areas for conservation of certain taxo-ecological groups, broader biodiversity assessments require complementary approaches to encompass the full taxo-ecological diversity in forests.

Keywords

Red-listed species; Cryptogam conservation; Deadwood; Forest management; Logistic regression; Threshold; Indicator

Published in

Forest Ecology and Management
2025, volume: 593, article number: 122858
Publisher: ELSEVIER

SLU Authors

• Larsson Ekström, Albin

  • Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences
    

• Jones, Faith

  • Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences
    

• Hardenbol, Alwin Antoni

  • Department of Ecology, Swedish University of Agricultural Sciences
    

• Hardenbol, Alwin Antoni

  • Natural Resources Institute Finland (LUKE)

• Hekkala, Anne-Maarit

  • Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences
    

• Jönsson, Mari

  • SLU Swedish Species Information Centre, Swedish University of Agricultural Sciences
    

• Strengbom, Joachim

  • Department of Ecology, Swedish University of Agricultural Sciences
    

• Sjögren, Jörgen

  • Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science

Publication identifier

• DOI: https://doi.org/10.1016/j.foreco.2025.122858

Permanent link to this page (URI)

https://res.slu.se/id/publ/142521