Volkmar Timmermann
Forsker
(+47) 971 59 901
volkmar.timmermann@nibio.no
Sted
Ås - Bygg H8
Besøksadresse
Høgskoleveien 8, 1433 Ås
Forfattere
Mark A. Anthony Leho Tedersoo Bruno De Vos Luc Croisé Henning Meesenburg Markus Wagner Henning Andreae Frank Jacob Paweł Lech Anna Kowalska Martin Greve Genoveva Popova Beat Frey Arthur Gessler Marcus Schaub Marco Ferretti Peter Waldner Vicent Calatayud Roberto Canullo Giancarlo Papitto Aleksander Marinšek Morten Ingerslev Lars Vesterdal Pasi Rautio Helge Meissner Volkmar Timmermann Mike Dettwiler Nadine Eickenscheidt Andreas Schmitz Nina Van Tiel Thomas W. Crowther Colin AverillSammendrag
Forest soils harbor hyper-diverse microbial communities which fundamentally regulate carbon and nutrient cycling across the globe. Directly testing hypotheses on how microbiome diversity is linked to forest carbon storage has been difficult, due to a lack of paired data on microbiome diversity and in situ observations of forest carbon accumulation and storage. Here, we investigated the relationship between soil microbiomes and forest carbon across 238 forest inventory plots spanning 15 European countries. We show that the composition and diversity of fungal, but not bacterial, species is tightly coupled to both forest biotic conditions and a seven-fold variation in tree growth rates and biomass carbon stocks when controlling for the effects of dominant tree type, climate, and other environmental factors. This linkage is particularly strong for symbiotic endophytic and ectomycorrhizal fungi known to directly facilitate tree growth. Since tree growth rates in this system are closely and positively correlated with belowground soil carbon stocks, we conclude that fungal composition is a strong predictor of overall forest carbon storage across the European continent.
Forfattere
Marco Ferretti Arthur Gessler Nathalie Cools Stefan Fleck Rossella Guerrieri Tamara Jakovljević Manuel Nicolas Tiina M. Nieminen Diana Pitar Nenad Potočić Stephan Raspe Marcus Schaub Kai Schwärzel Volkmar Timmermann Monika Vejpustková Lars Vesterdal Petteri Vanninen Peter Waldner Lothar Zimmermann Tanja GM SandersSammendrag
Forests are increasingly affected by global change. Building resilient forests requires – amongst others - leveraging the wealth of knowledge from existing ground-based, field inventory and monitoring programs as well as Earth Observation systems to better assess the status, detect changes, understand processes, predict future dynamics, and guide forest management. A proposal from the European Commission for a new forest monitoring framework at the European level aims in this direction but lacks the integration of some crucial and readily available resources and infrastructures. For this reason, the proposal risks to be a missed opportunity rather than a step forward. Here we provide suggestions to help reconciling the proposal with its objectives and a more comprehensive monitoring vision.
Sammendrag
Recurrent climate-driven disturbances impact on the health of European forests that reacted with increased tree dieback and mortality over the course of the last four decades. There is therefore large interest in predicting and understanding the fate and survival of forests under climate change. Forest conditions are monitored within the pan-European ICP Forests programme (UN-ECE International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests) since the 1980s, with tree crown defoliation being the most widely used parameter. Defoliation is not a cause-specific indicator of tree health and vitality, and there is a need to connect defoliation levels with the physiological functioning of trees. The physiological responses connected to tree crown defoliation are species-specific and concern, among others, water relations, photosynthesis and carbon metabolism, growth, and mineral nutrients of leaves. The indicators to measure physiological variables in forest monitoring programs must be easy to apply in the field with current state-of-the-art technologies, be replicable, inexpensive, time efficient and regulated by ad hoc protocols. The ultimate purpose is to provide data to feed process-based models to predict mortality and threats in forests due to climate change. This study reviews the problems and perspectives connected to the realization of a systematic assessment of physiological variables and proposes a set of indicators suitable for future application in forest monitoring programs.
