Drivers of earthworm incidence and abundance across European forests
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Drivers of earthworm incidence and abundance across European forests. / Wandeler, Hans De; Sousa-Silva, Rita; Ampoorter, Evy; Bruelheide, Helge; Carnol, Monique; Dawud, Seid Muhie; Danila, Gabriel; Finér, Leena; Hättenschwiler, Stephan; Hermy, Martin; Jaroszewicz, Bogdan; Joly, Francois-Xavier; Müller, Sandra; Pollastrini, Martina; Ratcliffe, Sophia; Raulund-Rasmussen, Karsten; Selvi, Federico; Valladares, Fernando; Van Meerbeck, Koenraad; Verheyen, Kris; Vesterdal, Lars; Muys, Bart.
In: Soil Biology & Biochemistry, Vol. 99, 2016, p. 167-178.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Drivers of earthworm incidence and abundance across European forests
AU - Wandeler, Hans De
AU - Sousa-Silva, Rita
AU - Ampoorter, Evy
AU - Bruelheide, Helge
AU - Carnol, Monique
AU - Dawud, Seid Muhie
AU - Danila, Gabriel
AU - Finér, Leena
AU - Hättenschwiler, Stephan
AU - Hermy, Martin
AU - Jaroszewicz, Bogdan
AU - Joly, Francois-Xavier
AU - Müller, Sandra
AU - Pollastrini, Martina
AU - Ratcliffe, Sophia
AU - Raulund-Rasmussen, Karsten
AU - Selvi, Federico
AU - Valladares, Fernando
AU - Van Meerbeck, Koenraad
AU - Verheyen, Kris
AU - Vesterdal, Lars
AU - Muys, Bart
PY - 2016
Y1 - 2016
N2 - Earthworms have a significant influence on the structure, composition and functioning of forest ecosystems,but in spite of their role as ecosystem engineers, little is known on the factors controlling theirdistribution across European forests. Optimised sampling techniques, as well as more advanced statisticaltools and geographical information systems have facilitated studies at the landscape scale. But these,and even larger-scale studies, are scarce due to data limitations, taxonomic inconsistencies and practicalissues in linking existing databases. In this continental-scale field-based study we used boostedregression tree modelling to identify and evaluate the relative importance of environmental factorsexplaining earthworm incidence (presence/absence) and abundance (density and biomass) in Europeanforests. To parameterise our models earthworms were sampled in six forest landscapes along a latitudinalgradient from the boreal north to the Mediterranean south in spring or autumn of 2012, togetherwith several environmental variables. Earthworms were sampled using a combined method of mustardextraction and hand sorting of litter and a soil monolith, after which they were weighed and identified tofunctional group (epigeic, endogeic and anecic). We found that litter- and soil-related variables bestexplained earthworm incidence and biomass in European forests, leaving only a minor role to climaterelatedvariables. Among the litter related variables, understory vegetation played an important role inexplaining earthworm incidence and abundance. The relative importance of explanatory variablesdiffered between models for incidence, density and biomass and between earthworm functional groups.Our results suggested that threshold values for soil C:N ratio, forest floor pH and understory plantbiomass and plant nutrient concentrations have to be attained before earthworms can occur. Beyondthese threshold values, variables like soil C:N ratio, tree litter C:P ratio and forest floor mass further explain earthworm biomass. Mechanisms behind these observations are discussed in the light of future earthworm distribution modelling at continental scale.
AB - Earthworms have a significant influence on the structure, composition and functioning of forest ecosystems,but in spite of their role as ecosystem engineers, little is known on the factors controlling theirdistribution across European forests. Optimised sampling techniques, as well as more advanced statisticaltools and geographical information systems have facilitated studies at the landscape scale. But these,and even larger-scale studies, are scarce due to data limitations, taxonomic inconsistencies and practicalissues in linking existing databases. In this continental-scale field-based study we used boostedregression tree modelling to identify and evaluate the relative importance of environmental factorsexplaining earthworm incidence (presence/absence) and abundance (density and biomass) in Europeanforests. To parameterise our models earthworms were sampled in six forest landscapes along a latitudinalgradient from the boreal north to the Mediterranean south in spring or autumn of 2012, togetherwith several environmental variables. Earthworms were sampled using a combined method of mustardextraction and hand sorting of litter and a soil monolith, after which they were weighed and identified tofunctional group (epigeic, endogeic and anecic). We found that litter- and soil-related variables bestexplained earthworm incidence and biomass in European forests, leaving only a minor role to climaterelatedvariables. Among the litter related variables, understory vegetation played an important role inexplaining earthworm incidence and abundance. The relative importance of explanatory variablesdiffered between models for incidence, density and biomass and between earthworm functional groups.Our results suggested that threshold values for soil C:N ratio, forest floor pH and understory plantbiomass and plant nutrient concentrations have to be attained before earthworms can occur. Beyondthese threshold values, variables like soil C:N ratio, tree litter C:P ratio and forest floor mass further explain earthworm biomass. Mechanisms behind these observations are discussed in the light of future earthworm distribution modelling at continental scale.
U2 - 10.1016/j.soilbio.2016.05.003
DO - 10.1016/j.soilbio.2016.05.003
M3 - Journal article
VL - 99
SP - 167
EP - 178
JO - Soil Biology & Biochemistry
JF - Soil Biology & Biochemistry
SN - 0038-0717
ER -
ID: 161702541