Article Dans Une Revue Ecological Indicators Année : 2021

Handbook of field sampling for multi-taxon biodiversity studies in European forests

1 UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
2 TeSAF - Department of Land, Environment, Agriculture and Forestry
3 UR LESSEM - Laboratoire des EcoSystèmes et des Sociétés en Montagne
4 UCPH - University of Copenhagen = Københavns Universitet
5 UniGe - Università degli studi di Genova = University of Genoa
6 UNISS - Università degli Studi di Sassari = University of Sassari [Sassari]
7 National Museum of Natural Sciences
8 Research Centre for Plant Protection and Certification
9 Research Centre for Forestry and Wood
10 UGENT - Universiteit Gent = Ghent University = Université de Gand
11 UPV / EHU - Universidad del País Vasco [Espainia] / Euskal Herriko Unibertsitatea [España] = University of the Basque Country [Spain] = Université du pays basque [Espagne]
12 Croatian Forest Research Institute
13 Centre for Ecological Research, Institute of Ecology and Botany, Va´cra´to´t, Hungary
14 Institute of Forest Biology and Silviculture, Vytautas Magnus University Student
15 CNR-ISAFOM - Institute for agriculture and forestry systems in the Mediterranean
16 Institute of Biology and Environmental Science, Vegetation Science & Nature Conservation, University of Oldenburg
17 CZU - Czech University of Life Sciences Prague
18 Ecological Services
19 IGN - Department of Geosciences and Natural Resource Management [Copenhagen]
20 UR EFNO - Ecosystèmes forestiers
21 Faculty of Forestry and Wood Sciences
22 School of Agricultural, Forest and Food Sciences
23 Swiss Federal Institute for Forest, Snow and Landscape Research WSL
24 Institute of Ecology and Earth Sciences [Tartu]
25 Departamento de Sistemas y Recursos Naturales, Escuela Técnica Superior de Ingeniería de Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Madrid
26 cE3c - Centre for Ecology - Evolution and Environmental Changes
27 NINA - Norwegian Institute for Nature Research
28 University of Freiburg, Chair of Wildlife Ecology and Management
29 Georg-August-University = Georg-August-Universität Göttingen
30 Faculty of Forestry and Wood Sciences
31 TUZVO - Technical University in Zvolen
32 INBO - Research Institute for Nature and Forest
33 HAO Demeter - Hellenic Agricultural Organization Demeter
Jan Hošek
  • Fonction : Auteur
Nathalie Korboulewsky
Anders Mårell

Résumé

Forests host most terrestrial biodiversity and their sustainable management is crucial to halt biodiversity loss. Although scientific evidence indicates that sustainable forest management (SFM) should be assessed by monitoring multi-taxon biodiversity, most current SFM criteria and indicators account only for trees or consider indirect biodiversity proxies. Several projects performed multi-taxon sampling to investigate the effects of forest management on biodiversity, but the large variability of their sampling approaches hampers the identification of general trends, and limits broad-scale inference for designing SFM. Here we address the need of common sampling protocols for forest structure and multi-taxon biodiversity to be used at broad spatial scales. We established a network of researchers involved in 41 projects on forest multi-taxon biodiversity across 13 European countries. The network data structure comprised the assessment of at least three taxa, and the measurement of forest stand structure in the same plots or stands. We mapped the sampling approaches to multi-taxon biodiversity, standing trees and deadwood, and used this overview to provide operational answers to two simple, yet crucial, questions: what to sample? How to sample? The most commonly sampled taxonomic groups are vascular plants (83% of datasets), beetles (80%), lichens (66%), birds (66%), fungi (61%), bryophytes (49%). They cover different forest structures and habitats, with a limited focus on soil, litter and forest canopy. Notwithstanding the common goal of assessing forest management effects on biodiversity, sampling approaches differed widely within and among taxonomic groups. Differences derive from sampling units (plots size, use of stand vs. plot scale), and from the focus on different substrates or functional groups of organisms. Sampling methods for standing trees and lying deadwood were relatively homogeneous and focused on volume calculations, but with a great variability in sampling units and diameter thresholds. We developed a handbook of sampling methods (SI 3) aimed at the greatest possible comparability across taxonomic groups and studies as a basis for European-wide biodiversity monitoring programs, robust understanding of biodiversity response to forest structure and management, and the identification of direct indicators of SFM.
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hal-03374277 , version 1 (12-10-2021)

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Sabina Burrascano, Giovanni Trentanovi, Yoan Paillet, Jacob Heilmann-Clausen, Paolo Giordani, et al.. Handbook of field sampling for multi-taxon biodiversity studies in European forests. Ecological Indicators, 2021, 132, pp.1-13. ⟨10.1016/j.ecolind.2021.108266⟩. ⟨hal-03374277⟩
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