Network resilience of plant-bee interactions in the Eastern Afromontane Biodiversity Hotspot

dc.contributor.authorDzekashu, Fairo F.
dc.contributor.authorYusuf, Abdullahi Ahmed
dc.contributor.authorTakemoto, Kazuhiro
dc.contributor.authorPeters, Marcell K.
dc.contributor.authorLattorff, H. Michael G.
dc.contributor.authorSteffan-Dewenter, Ingolf
dc.contributor.authorPirk, Christian Walter Werner
dc.date.accessioned2024-08-07T10:16:45Z
dc.date.available2024-08-07T10:16:45Z
dc.date.issued2024-08
dc.descriptionDATA AVAILABILITY : All data supporting this study are available from Figshare: https://figshare.com/s/9f40ef50e99f84ab6e93.en_US
dc.description.abstractInteraction network resilience can be defined as the ability of interacting organisms to maintain their functions, processes or populations after experiencing a disturbance. Studies on mutualistic interactions between plants and pollinators along environmental gradients are essential to understand the provision of ecosystem services and the mechanisms challenging their network resilience. However, it remains unknown to what level ecological changes along climatic gradients constrain the network resilience of mutualistic organisms, especially along elevation gradients. We surveyed bee species and recorded their interactions with plants throughout the four major seasons (i.e. long and short rainy, and long and short dry) on 50 study sites positioned along an elevation gradient (525 m to 2,530 m asl) in the Eastern Afromontane Biodiversity Hotspots in Kenya, East Africa. We calculated bee and plant network resilience using the network resilience parameter (βeff) and assessed changes in bee and plant network resilience along the elevation gradient using generalised additive models (gams). We quantified the effects of climate, bee and plant diversity, bee functional traits, network structure, and landscape configuration on bee and plant network resilience using a set of multi-model inference frameworks followed by structural equation models (SEM). We found that bee and plant species exhibited higher levels of network resilience at higher elevations. While bee network resilience increased linearly across the elevation gradient, plant network resilience increased exponentially from ∼1500 m and higher. Bee and plant network resilience increased in areas with reduced mean annual temperature (MAT) and decreased in areas with lower mean annual precipitation (MAP). Our SEM model showed that increasing temperatures indirectly influenced plant network resilience via network modularity and community assemblage of bees. We also found that MAP had a direct positive effect on plant diversity and network resilience, while the fragmentation of habitats reduced richness of plant communities and enhanced network modularity. In conclusion, we revealed that mutualistic networks showed higher network resilience at higher elevations. We also unveiled that climate and habitat fragmentation directly or indirectly influences the network resilience of plants and bees via the modulation of community assemblages and interaction networks. These influences are lower at higher elevations such that these systems seem better able to buffer against extinction cascades. We thus suggest that, management efforts should be geared at consolidating natural habitats. In contrast, restoration efforts should aim at mitigating climate change effects and harnessing the ability of mutualists to reconnect broken links to improve the network resilience and functioning of East-African montane ecosystems.en_US
dc.description.departmentZoology and Entomologyen_US
dc.description.librarianhj2024en_US
dc.description.sdgSDG-13:Climate actionen_US
dc.description.sdgSDG-15:Life on landen_US
dc.description.sponsorshipJRS Biodiversity Foundation; the Swedish International Development Cooperation Agency (Sida); the Swiss Agency for Development and Cooperation (SDC); the Australian Centre for International Agricultural Research (ACIAR); the Norwegian Agency for Development Cooperation (Norad); the Federal Democratic Republic of Ethiopia, the Government of the Republic of Kenya; the South African National Research Foundation funding for Rated researchers; the Kyushu Institute of Technology (Japan); and a German Academic Exchange Services (DAAD) and the University of Pretoria.en_US
dc.description.urihttps://www.elsevier.com/locate/ecolinden_US
dc.identifier.citationDzekashu, F.F.; Yusuf, A.A.; Takemoto, K. et al. 2024, 'Network resilience of plant-bee interactions in the Eastern Afromontane Biodiversity Hotspot', Ecological Indicators, vol. 166, art. 112415, pp. 1-14, doi : 10.1016/j.ecolind.2024.112415.en_US
dc.identifier.issn1470-160X (print)
dc.identifier.issn1872-7034 (online)
dc.identifier.other10.1016/j.ecolind.2024.112415
dc.identifier.urihttp://hdl.handle.net/2263/97489
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.en_US
dc.subjectEastern Afromontane Biodiversity Hotspots (EABH)en_US
dc.subjectKenyaen_US
dc.subjectEcosystem stabilityen_US
dc.subjectPollinatorsen_US
dc.subjectInsect conservationen_US
dc.subjectRecovery ratesen_US
dc.subjectClimate changeen_US
dc.subjectTipping pointsen_US
dc.subjectEcosystem services (ES)en_US
dc.subjectElevation gradienten_US
dc.subjectEast African mountainsen_US
dc.subjectTropicsen_US
dc.subjectSDG-13: Climate actionen_US
dc.subjectSDG-15: Life on landen_US
dc.titleNetwork resilience of plant-bee interactions in the Eastern Afromontane Biodiversity Hotspoten_US
dc.typeArticleen_US

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