MINILANDS is a set of microcosm experiments conducted in the lab with micro-arthropods (Collembola) in artificial landscapes at the centimetre scale. To properly design the landscape-scale experiments, we ran different tests to 1) define the movement abilities of the micro-arthropods on different types of material, 2) to quantify reproduction rates and population carrying capacities on different types of food resources (tree leaf litter). Landscape-scale experiments are now being run in the lab.
MESOLANDS is a landscape-scale in situ experiment set up in an area of formerly cultivated dry grassland with a high stone cover. Twenty-three enclosures, called landscapes, were set up in which the arthropod responses to treatments were monitored. Treatments include a double gradient of habitat amount and habitat fragmentation. To simulate habitat loss, we have removed the stone cover to delimit areas of bare soil, less favourable for arthropods. Every year, we monitor the arthropod communities to see how they respond to the experimental habitat loss and fragmentation. To better understand how arthropods move in the field and how changes in their habitat may influence their movements, we tracked three beetle species with RFID tags for 48h. Our work has shown that the methodology is effective for these species, with limitations in terms of spatial and temporal coverage and resolution. We are currently developing a new method to overcome these limits.
MACROLANDS is an in situ observation network of gene flow of the European red squirrel (Sciurus vulgaris) at the km scale. Here we want to perform landscape genetic analyses in order to relate the squirrel gene fluxes, a common species, with the spatial organisation of forested habitats in our study landscapes. Genetic analyses are performed on hair samples collected with passive baited hair traps, a non-invasive technique to collect a sample of few hairs without capturing the animals. We have developed an intensive sampling scheme (930 hair tubes installed) in five different landscapes and already collected 330 samples.
MODEL is an individual-based, process-based, spatially and temporally explicit predictive modelling tool that will translate the mechanistic understanding gained from our three empirical platforms into computer-based simulations. We first apply the model to MACROLANDS with the objective to properly map the suitable habitat for the red squirrel and delimit the habitat patches as an entry to the model.