BIOND LAB

Biodiversity, Networks & Data
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Research

Complexity Papers

Thilo's youtube channel has reached 100 subsribers and 1000 views just in time for the end of the year

https://youtube.com/@complexitypapers

Rana @ PhD Days
Rana @ PhD Days

Paper published:

Trait reconstruction and estimation of functional diversity from ecolocical monitoring data
The twin crises of climate change and biodiversity loss define a strong need for functional diversity monitoring. While the availability of high-quality ecological monitoring data is increasing, the quantification of functional diversity so far requires the identification of species traits, for which data is harder to obtain. However, the traits that are relevant for the ecological function of a species also shape its performance in the environment and hence should be reflected indirectly in its spatio-temporal distribution. Thus it may be possible to reconstruct these traits from a sufficiently extensive monitoring dataset. Here we use diffusion maps, a deterministic and de-facto parameter-free analysis method, to reconstruct a proxy representation of the species' traits directly from monitoring data and use it to estimate functional diversity. We demonstrate this approach both with simulated data and real-world phytoplankton monitoring data from the Baltic sea. We anticipate that wider application of this approach to existing data could greatly advance the analysis of changes in functional biodiversity.
Publications
Group Picture
Group Picture

Congratulations to Fanqi !!

Congratulations to Fanqi Zeng for passing his thesis defence and landing a PostDoc position in Oxford. Well done, Fanqi.

Jana at Florida Atlantic University
Jana at Florida Atlantic University

Paper published:

Governing Change
The ability to adapt to social and environmental change is an increasingly critical feature of environmental governance. Yet, an understanding of how specific features of governance systems influence how they respond to change is still limited. Here we focus on how system features like diversity, heterogeneity and connectedness impact stability, which indicates the system’s capacity to recover from perturbations. Through a framework that combines agent-based modeling with "generalized" dynamical systems modeling, we model the stability of thousands of governance structures consisting of groups of resource users and non-government organizations interacting strategically with the decision centers that mediate their access to a shared resource. Stabilizing factors include greater effort dedicated to venue shopping, and a greater fraction of non-government organizations in the system. Destabilizing factors include greater heterogeneity among actors, a greater diversity of decision centers, and greater interdependence between actors. The results suggest that while complexity tends to be destabilizing, there are mitigating factors that may help balance adaptivity and stability in complex governance. This study demonstrates the potential in applying the insights of complex systems theory to managing complex and highly uncertain human-natural systems in the face of rapid social and environmental change.
People
Ole at Icymare
Ole at Icymare
Jana in Plön
Jana in Plön

Congratulations!

BioND lab congratulates its former members Sebastian Kuschner and Fanqi Zeng to their new jobs. Basti is moving on to do a PhD with Tiago Peixoto in Vienna following the completion of his master thesis. Fanqi is moving to a PostDoc position in Oxford to apply his agent-based modelling skills in Sociology.

Defector avoidance on youtube
Defector avoidance on youtube
Jana is back from ISME
Jana is back from ISME
Pedro's trip to Sylt
Pedro's trip to Sylt
Conferences are back
Conferences are back

Grant Success!

An EU proposal in which we participate has been recommended for funding with a perfect 15/15 score and is now at contract negotiation stage. More soon.

Paper published:

Master stability functions for metacommunities with two types of habitats
Current questions in ecology revolve around instabilities in the dynamics on spatial networks and particularly the effect of node heterogeneity. We extend the master stability function formalism to inhomogeneous biregular networks having two types of spatial nodes. Notably, this class of systems also allows the investigation of certain types of dynamics on higher-order networks. Combined with the generalized modeling approach to study the linear stability of steady states, this is a powerful tool to numerically asses the stability of large ensembles of systems. We analyze the stability of ecological metacommunities with two distinct types of habitats analytically and numerically in order to identify several sets of conditions under which the dynamics can become stabilized by dispersal. Our analytical approach allows general insights into stabilizing and destabilizing effects in metapopulations. Specifically, we identify self-regulation and negative feedback loops between source and sink populations as stabilizing mechanisms and we show that maladaptive dispersal may be stable under certain conditions.
New Building
New Building
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For all enquiries contact Dr. Thilo Gross, HIFMB, Ammerländerheerstr. 231, 26129 Oldenburg, Germany.
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