Project Details
Projekt
Coordination Funds
Applicant
Professor Dr. Nico Blüthgen
Subject Area
Ecology and Biodiversity of Animals and Ecosystems, Organismic Interactions
Term
since 2021
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 444827997
This research unit aims at understanding the dynamics of species interaction network in order to uncover rules of network dis- and reassembly in a highly diverse tropical lowland rainforest ecosystem. We will study (1) the impacts of agricultural land use (pastures and cacao plantations) to characterize the resistance of networks against deforestation, (2) the dynamics of natural forest recovery from agriculture along a chronosequence, and (3) the contribution of re-assembled networks to the resilience of ecosystem processes against perturbation. We will compare the trajectories of predator–prey, plant–pollinator, and plant–seed disperser networks, as well as decomposition networks between mammals, dung beetles and seeds, and between dead wood, ants, termites, and beetles. Our project thus studies networks of all major ecosystem processes mediated by interspecific interactions: predation, pollination, primary and secondary seed dispersal, herbivory, decomposition, and tree seedling recruitment. The study is located in the Choco lowland forest of North-West Ecuador, an area that faces particularly high deforestation rates. We will work within and around forest reserves owned by Fundación Jocotoco, a private Ecuadorian conservation foundation. Our 62 study plots include forests recovering for different time spans from a former use as pasture or plantation (16 under agricultural use, 30 recovering forests and 16 primary forests). All subprojects will investigate a chronosequence to assess and compare the reassembly of interaction networks and trajectories of ecosystem processes. To study how such newly composed networks offer higher process rates and temporal stability, we will perform a perturbation-recruitment experiment along the chronosequence. We will quantify the effects of functional traits that are predicted to be important for network reassembly and resilience to perturbations: response traits to environmental conditions, and interaction traits as determinants of network links. Analysing the relative contribution of these traits across distinct ecological processes allows us to distil dis- and reassembly rules of forest recovery. Changes in the complexity of networks with forest recovery is predicted to trigger variation in the rates and stability of ecosystem processes. Overall, our research unit will unravel how, to what extent, and how fast a forest ecosystem can re-establish after deforestation, including the diverse species communities, complex interaction networks, and relevant ecosystem processes that characterize such forest ecosystems.
DFG Programme
Research Units
