Modelling of spatio-temporal population dynamics of earthworms under wetland conditions—An integrated approach

An energy budget agent-based model of earthworm populations and its application to study the effects of pesticides

“…Earthworms are significant contributors to the ecosystem services provided by arable soils ( Daily et al, 1997; Keith and Robinson, 2012; Blouin et al, 2013 ) and they respond rapidly to alterations in soil quality ( Fraser et al, 1996 ), tillage ( Chan, 2001 ) and exposure to chemical toxicants ( Vorphal et al, 2009 ). Consequently, they are focal organisms for environmental risk assessments of agricultural chemicals in Europe ( OECD, 1984 ).…”

Modeling the fish community population dynamics and forecasting the eradication success of an exotic fish from an alpine stream

“…However, in stream-dwelling trout, size is a straightforward proxy to separate age-0 trout from the rest, and can demonstrate size classes highly correlated with age classes (Ruiz and Laplanche, 2010). Incorporating a size/age structure may improve simulations of some aspects of population dynamics (see for instance Gouraud et al, 2001;Sebert-Cuvillier et al, 2007;Vorpahl et al, 2009;Bret et al, 2017). However, this improvement comes at a high complexity cost due to new sets of unknown parameters (e.g., recruitment and mortality rates) requiring specific data for calibration.…”

“…This latter modeling approach is also capable of providing a forecast of the species distribution once invasion draws to a close. Several mathematical frameworks have been considered for that purpose: individual based models which simulate dynamics based on rules for individuals (Prévosto et al, 2003;Nehrbass et al, 2006), metapopulation models which consider individual movements between spatially separated subpopulations (Hanski, 1998), cellular automatas which consider rules at the spatial unit scale with finite sets of states (Balzter et al, 1998;Vorpahl et al, 2009), and reaction-diffusion models based on partial differential equations (PDE) either in their continuous form or discretized and approximated by finite-difference (Okubo et al, 1989;Holmes et al, 1994;Hui et al, 2011). It is generally accepted that models need to be spatially-explicit in order to account for spatial heterogeneity of species density and/or of environmental factors (Holmes et al, 1994;Perry and Bond, 2004;Rammig and Fahse, 2009).…”

KEYLINK: towards a more integrative soil representation for inclusion in ecosystem scale models. I. review and model concept

“…Most models on soil engineers focus on the effect of earthworms on mineral soils. Some models only tackle the demography of earthworms or their movements ( Martin & Lavelle, 1992 ; Klok, Van der Holt & Bodt, 2006 ; Pelosi et al, 2008 ; Vorpahl, Moenickes & Richter, 2009 ), to predict their impact on soil functioning. Other models such as the Multi Agent System model, SWORM, simulate the movements of individual earthworms within a soil profile and the consequences for soil structure ( Blanchart et al, 2009 ).…”