Nested species interactions promote feasibility over stability during the assembly of a pollinator community
Serguei Saavedra, Rudolf P. Rohr, Jens M. Olesen, Jordi Bascompte

TL;DR
This study introduces new methods and empirical analysis showing that nested species interactions in pollinator communities enhance feasibility, allowing communities to persist even with lower stability, highlighting the importance of nestedness for community assembly.
Contribution
The paper provides novel quantitative tools and empirical evidence demonstrating that nested interactions promote feasibility over stability in ecological communities.
Findings
Nested interactions lower the mutualistic strength tolerated without losing stability.
High feasibility can be achieved through either mutualistic strength or nestedness.
Nested interactions during community assembly enhance feasibility in pollinator communities.
Abstract
The foundational concepts behind the persistence of ecological communities have been based on two ecological properties: dynamical stability and feasibility. The former is typically regarded as the capacity of a community to return to an original equilibrium state after a perturbation in species abundances, and is usually linked to the strength of interspecific interactions. The latter is the capacity to sustain positive abundances on all its constituent species, and is linked to both interspecific interactions and species demographic characteristics. Over the last 40 years, theoretical research in ecology has emphasized the search for conditions leading to the dynamical stability of ecological communities, while the conditions leading to feasibility have been overlooked. However, thus far, we have no evidence of whether species interactions are more conditioned by the community's need…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
