Biology subjects

Gawecka, K. A.

Publications and source records attributed to Gawecka, K. A..

7 recordsLinked to original sources

bioRxiv2025

Quantifying the geographic mosaic of coevolutionary temperature: from coldspots to hotspots

The Geographic Mosaic Theory of Coevolution (GMTC) predicts that reciprocal evolutionary effects vary across landscapes, generating hotspots and coldspots. Traditionally, these states are treated as discrete categories, even though the intensity of coevolutionary selection can vary continuously. To capture this variation, we introduce a concept of coevolutionary temperature, ranging from coldspot to hotspot. We propose two complementary metrics to quantify it: reciprocity and strength of pairwise evolutionary effects. We also extend the GMTC framework beyond its traditional focus on pairwise systems to species-rich communities. Applying this approach to empirical plant-pollinator networks in a fragmented landscape, we find pronounced geographic mosaics in coevolutionary temperature. Smaller habitat patches support small, highly connected, and weakly nested communities with high reciprocity and strength, suggesting that they act as coevolutionary hotspots. In contrast, larger patches host species-rich, poorly connected, and highly nested communities with low reciprocity and strength, consistent with coldspots. At the interaction scale, reciprocity depends on degree similarity, with interactions between species that have similar numbers of partners exhibiting higher reciprocity. Together, these results highlight the strong dependence of coevolutionary effects on spatial variation in community structure and show how extending the geographic mosaic framework to species-rich communities can deepen our understanding of coevolution in complex systems.

ecology↗

bioRxiv2025

Landscape configuration and community structure jointlydetermine the persistence of mutualists under habitat loss

Habitat loss poses a major threat to biodiversity. Its effects on ecological communities depend on the complex interplay between the landscape configuration -- the patterns of connections between habitat patches, community structure -- the patterns of interactions between species, and habitat loss patterns. Despite their individual importance, their joint effect on species persistence remains poorly understood. We explore how these three factors influence the persistence of empirical mutualistic communities. By employing spatially explicit metacommunity models, we find that landscapes with a heterogeneous distribution of connections between habitat patches exhibit high persistence under spatially-uncorrelated habitat loss but are highly vulnerable to spatially-correlated loss, where adjacent habitat patches are destroyed sequentially. Homogeneous landscapes with regularly arranged patches have lower persistence than heterogeneous landscapes but are more resilient to correlated habitat loss. The metacommunity nested structure of species interactions enhances persistence, with varying magnitude depending on landscape configuration and the patterns of habitat loss. These results can guide conservation strategies by identifying landscape and community features that promote species persistence.

ecology↗

bioRxiv2025

The roles of space and food web complexity in mediating ecological recovery

Landscape-scale ecological restoration is a key strategy for halting and reversing biodiversity decline. However, ensuring the long-term sustainability of restoration efforts requires guiding the recovery of complex ecological systems with many interdependent species at a landscape scale. Due to these challenges, our understanding of recovery trajectories remains limited. Using experiments and metapopulation models, we explore how the spatial configuration of communities and food web complexity jointly influence species recovery at different spatial scales. We find that the number and spatial placement of communities affects the colonisation of empty habitat patches, but does not influence population recovery in patches where communities are introduced. Food web complexity reduces the recovery of lower trophic levels, both at population and metapopulation scales. However, this negative effect may be partially mitigated at higher levels of food web complexity. Our results demonstrate that the joint consideration of spatial configuration and species interactions could enhance the effectiveness of restoration actions.

ecology↗

bioRxiv2023

Coevolution increases robustness to extinctions in mutualistic but not antagonistic communities

Co-extinctions may exacerbate the current biodiversity crisis. Yet, we do not understand all the factors that shape the robustness of communities to the loss of species. Here we analyse how coevolution influences the robustness of mutualistic and antagonistic communities. We find that coevolution increases robustness in mutualism but reduces it in antagonism. These differences are due to coevolution altering the density of interactions in communities. The largest changes to robustness occur when coevolutionary selection is strong. Yet, the effect size of coevolution on robustness depends on the size of the community. Our results may broaden the suite of mechanisms affecting the resilience of ecological communities. These insights may inform efforts to reduce the risk of species loss in the face of global change.

ecology↗

bioRxiv2023

Habitat restoration and the recovery of metacommunities

Ecosystem restoration is becoming a widely recognised solution to the biodiversity crisis. However, there is a gap between restoration science and practice. Specifically, we lack a theoretical framework which would improve our understanding of ecosystems recovery and allow us to optimise restoration design. Here, we narrow this gap by developing spatially explicit metacommunity models and studying the recovery dynamics of communities during restoration. We show that community response depends on how damaged the landscape is prior to restoration, with highly fragmented landscapes imposing greater challenges to community recovery. In such cases, we found that the recovery depends on the type of interaction and the structure of the interaction network. Finally, we demonstrate that community recovery can be maximised with careful spatial planning. When recovering communities composed of antagonistic interactions, restoration should target areas adjacent to the most species-rich sites. In the case of mutualistic communities, the same strategy should be adopted in the short-term, whereas in the long-term, restoration should be extended to sites that improve the overall connectivity of the landscape. Our results highlight the importance of considering interactions between species and spatial planning in restoration projects.

ecology↗

bioRxiv2021

Effects of habitat destruction on coevolving metacommunities

Habitat destruction is a growing threat to biodiversity and ecosystem services. The ecological consequences of habitat loss and fragmentation involve reductions in species abundance and even the extinction of species and interactions. However, we do not yet understand how habitat loss can alter the coevolutionary trajectories of the remaining species or how coevolution, in turn, affects their response to habitat loss. To investigate this, we develop a spatially explicit model which couples metacommunity and coevolutionary dynamics. We show that, by changing the size, composition and structure of local networks, habitat destruction increases the diversity of coevolutionary outcomes across the landscape. Furthermore, we show that while coevolution dampens the negative effects of habitat destruction in mutualistic networks, its effects on the persistence of antagonistic communities are less predictable.

ecology↗

bioRxiv2021

The role of indirect effects in coevolution as mutualism transitions into antagonism

Species interactions have evolved from antagonistic to mutualistic and back several times throughout lifes history. Yet, it is unclear how changes in the type of interaction between species alter the coevolutionary dynamics of entire communities. This is a pressing matter, as transitions from mutualisms to antagonisms may be becoming more common with human-induced global change. Here, we combine network and evolutionary theory to simulate how shifts in interaction types alter the coevolution of empirical communities. We show that as mutualistic networks shift to antagonistic, selection imposed by direct partners begins to outweigh that imposed by indirect partners. This weakening of indirect effects is associated with communities losing their tight integration of traits and increasing their rate of adaptation. The above changes are more pronounced when specialist consumers are the first species to switch to antagonism. A shift in the outcome of species interactions may therefore reverberate across communities and alter the direction and speed of coevolution.

evolutionary biology↗