Literatur vom gleichen Autor/der gleichen Autor*in
plus bei Google Scholar

Bibliografische Daten exportieren
 

A synthesis of multi-taxa management experiments to guide forest biodiversity conservation in Europe

Titelangaben

Tinya, Flóra ; Doerfler, Inken ; de Groot, Maarten ; Heilman-Clausen, Jacob ; Kovács, Bence ; Mårell, Anders ; Nordén, Björn ; Aszalós, Réka ; Bässler, Claus ; Brazaitis, Gediminas ; Burrascano, Sabina ; Camprodon, Jordi ; Chudomelová, Markéta ; Čížek, Lukáš ; D'Andrea, Ettore ; Gossner, Martin ; Halme, Panu ; Hédl, Radim ; Korboulewsky, Nathalie ; Kouki, Jari ; Kozel, Petr ; Lõhmus, Asko ; López, Rosana ; Máliš, František ; Martín, Juan A. ; Matteucci, Giorgio ; Mattioli, Walter ; Mundet, Roser ; Müller, Jörg ; Nicolas, Manuel ; Oldén, Anna ; Piqué, Míriam ; Preikša, Žydrūnas ; Rovira Ciuró, Joan ; Remm, Liina ; Schall, Peter ; Šebek, Pavel ; Seibold, Sebastian ; Simončič, Primož ; Ujházy, Karol ; Ujházyová, Mariana ; Vild, Ondřej ; Vincenot, Lucie ; Weisser, Wolfgang ; Ódor, Péter:
A synthesis of multi-taxa management experiments to guide forest biodiversity conservation in Europe.
In: Global Ecology and Conservation. Bd. 46 (2023) . - e02553.
ISSN 2351-9894
DOI: https://doi.org/10.1016/j.gecco.2023.e02553

Abstract

Most European forests are used for timber production. Given the limited extent of unmanaged (and especially primary) forests, it is essential to include commercial forests in the conservation of forest biodiversity. In order to develop ecologically sustainable forest management practices, it is important to understand the management impacts on forest-dwelling organisms. Experiments allow testing the effects of alternative management strategies, and monitoring of multiple taxa informs us on the response range across forest-dwelling organisms. To provide a representative picture of the currently available information, metadata on 28 multi-taxa forest management experiments were collected from 14 European countries. We demonstrate the potential of compiling these experiments in a single network to upscale results from the local to continental level and indicate directions for future research. Among the different forest types, temperate deciduous beech and oak-dominated forests are the best represented in the multi-taxa management experiments. Of all the experimental treatments, innovative ways of traditional management techniques (e.g., gap cutting and thinning) and conservation-oriented interventions (e.g., microhabitat enrichment) provide the best opportunity for large-scale analyses. Regarding the organism groups, woody regeneration, herbs, fungi, beetles, bryophytes, birds and lichens offer the largest potential for addressing management–biodiversity relationships at the European level. We identified knowledge gaps regarding boreal, hemiboreal and broadleaved evergreen forests, the treatments of large herbivore exclusion, prescribed burning and forest floor or water manipulations, and the monitoring of soil-dwelling organisms and some vertebrate classes, e.g., amphibians, reptiles and mammals. To improve multi-site comparisons, design of future experiments should be fitted to the set-up of the ongoing projects and standardised biodiversity sampling is suggested. However, the network described here opens the way to learn lessons on the impact on forest biodiversity of different management techniques at the continental level, and thus, supports biodiversity conservation in managed forests.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: Deadwood; Forestry treatment; Gap cutting; Microhabitat enrichment; Multi-taxon; Thinning
Institutionen der Universität: Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Biologie > Lehrstuhl Ökologie der Pilze > Lehrstuhl Ökologie der Pilze - Univ.-Prof. Dr. Claus Bässler
Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Bayreuther Zentrum für Ökologie und Umweltforschung - BayCEER
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften, Geologie
500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie
Eingestellt am: 07 Nov 2024 09:55
Letzte Änderung: 07 Nov 2024 09:55
URI: https://eref.uni-bayreuth.de/id/eprint/90978