Published June 4, 2023 | Version v1
Poster Open

ECOLOGICAL RESTORATION PROMOTES ZOOPLANKTON NETWORK COMPLEXITY IN MEDITERRANEAN COASTAL LAGOONS

  • 1. GRECO, Institute of Aquatic Ecology, University of Girona, Girona, Spain; School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
  • 2. GRECO, Institute of Aquatic Ecology, University of Girona, Girona, Spain; Departamento de Ecología y Gestión Ambiental, Centro Universitario Regional del Este (CURE), Universidad de la República, Tacuarembó s/n, Maldonado, Uruguay; FEHM-Lab, Section of Ecology, Department of Evolutionary Biology, Ecology and Environmental Sciences. University of Barcelona, Diagonal, 643, 08028 Barcelona, Catalonia/Spain
  • 3. GRECO, Institute of Aquatic Ecology, University of Girona, Girona, Spain; Cavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, Valencia, Spain
  • 4. FEHM-Lab, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Carrer de Jordi Girona, 18-26, 08034 Barcelona
  • 5. GRECO, Institute of Aquatic Ecology, University of Girona, Girona, Spain

Description

Ecological recovery following restoration is typically evaluated using metrics based on species diversity and composition. However, increasing evidence suggests the success of long-term ecological recovery is better evaluated when more complex attributes such as biotic interaction networks are targeted. For example, at the beginning the influence of nearby habitats can promote colonization leading to similar communities in restored or newly created lagoons, but communities often diverge from surrounding water bodies at later successional stages. These changes have been attributed to the effect of biotic interactions, but few studies have tested this assumption. Here, we analyse the zooplankton community of a Mediterranean coastal wetland subjected to a restoration process that involved the creation of new lagoons. We analysed community dissimilarity patterns and used mixed graphical models to infer interaction networks from abundance data. Increasing differences in the community structure between new and old lagoons were detected from the second year after their creation. The overall interaction network was more complex in new than in old lagoons. Interestingly, the network structure in old lagoons increased its complexity three years after restoration. We show how the inclusion of interaction networks for the monitoring of ecosystem recovery reflects unique facets of community complexity, otherwise overlooked when targeting diversity metrics alone.

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Additional details

Funding

PONDERFUL – POND Ecosystems for Resilient FUture Landscapes in a changing climate 869296
European Commission