Developing fine‐grained nationwide predictions of valuable forests using biodiversity indicator bird species

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http://urn.fi/URN:NBN:fi-fe2022042230150 http://hdl.handle.net/10138/342977

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Virkkala, Raimo, Leikola, Niko, Kujala, Heini, Kivinen, Sonja, Hurskainen, Pekka, Kuusela, Saija, Valkama, Jari, and Heikkinen, Risto K.. 2022. “ Developing Fine-Grained Nationwide Predictions of Valuable Forests Using Biodiversity Indicator Bird Species.” Ecological Applications 32( 2): e2505. https://doi.org/10.1002/eap.2505

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Title: Developing fine‐grained nationwide predictions of valuable forests using biodiversity indicator bird species
Author: Virkkala, Raimo; Leikola, Niko; Kujala, Heini; Kivinen, Sonja; Hurskainen, Pekka; Kuusela, Saija; Valkama, Jari; Heikkinen, Risto K.
Contributor organization: Suomen ympäristökeskus
The Finnish Environment Institute
Publisher: Wiley
Date: 2022
Language: en
Belongs to series: Ecological Applications
ISSN: 1051-0761
1939-5582
DOI: https://doi.org/10.1002/eap.2505
URI: http://urn.fi/URN:NBN:fi-fe2022042230150
http://hdl.handle.net/10138/342977
Abstract: The use of indicator species in forest conservation and management planning can facilitate enhanced preservation of biodiversity from the negative effects of forestry and other uses of land. However, this requires detailed and spatially comprehensive knowledge of the habitat preferences and distributions of selected focal indicator species. Unfortunately, due to limited resources for field surveys, only a small proportion of the occurrences of focal species is usually known. This shortcoming can be circumvented by using modeling techniques to predict the spatial distribution of suitable sites for the target species. Airborne laser scanning (ALS) and other remote sensing (RS) techniques have the potential to provide useful environmental data covering systematically large areas for these purposes. Here, we focused on six bird of prey and woodpecker species known to be good indicators of boreal forest biodiversity values. We used known nest sites of the six indicator species based on nestling ringing records. Thus, the most suitable nesting sites of these species provide important information for biodiversity-friendly forest management and conservation planning. We developed fine-grained, that is, 96 × 96 m grid cell resolution, predictive maps across the whole of Finland of the suitable nesting habitats based on ALS and other RS data and spatial information on the distribution of important forest stands for the six studied biodiversity indicator bird species based on nesting-habitat suitability modeling, that is, the MaxEnt model. Habitat preferences of the study species, as determined by MaxEnt, were in line with the previous knowledge of species-habitat relations. The proportion of suitable habitats of these species in protected areas (PAs) was considerable, but our analysis also revealed many potentially high-quality forest stands outside PAs. However, many of these sites are increasingly threatened by logging because of increased pressures for using forests for bioeconomy and forest industry based on National Forest Strategy. Predicting habitat suitability based on information on the nest sites of indicator species provides a new tool for systematic conservation planning over large areas in boreal forests in Europe, and a corresponding approach would also be feasible and recommendable elsewhere where similar data are available.
Subject: luonnonsuojelu
metsät
biodiversiteetti
luonnon monimuotoisuus
linnut
lajit
boreaalinen vyöhyke
Suomi
Subject (yso): biodiversity indicator
birds
bird species
boreal
forest conservation and management
habitat suitability
nest site
predicting
species distribution modeling
modeling
systematic conservation planning
planning
conservation
nature conservation
forests
diversity
biodiversity
natural diversity
species
types and species
boreal zone
Finland
Rights: CC BY-NC-ND 4.0


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