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Specialization of plant–pollinator interactions increases with temperature at Mt. Kilimanjaro
AIM: Species differ in their degree of specialization when interacting with other species, with significant consequences for the function and robustness of ecosystems. In order to better estimate such consequences, we need to improve our understanding of the spatial patterns and drivers of specializ...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042760/ https://www.ncbi.nlm.nih.gov/pubmed/32128148 http://dx.doi.org/10.1002/ece3.6056 |
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author | Classen, Alice Eardley, Connal D. Hemp, Andreas Peters, Marcell K. Peters, Ralph S. Ssymank, Axel Steffan‐Dewenter, Ingolf |
author_facet | Classen, Alice Eardley, Connal D. Hemp, Andreas Peters, Marcell K. Peters, Ralph S. Ssymank, Axel Steffan‐Dewenter, Ingolf |
author_sort | Classen, Alice |
collection | PubMed |
description | AIM: Species differ in their degree of specialization when interacting with other species, with significant consequences for the function and robustness of ecosystems. In order to better estimate such consequences, we need to improve our understanding of the spatial patterns and drivers of specialization in interaction networks. METHODS: Here, we used the extensive environmental gradient of Mt. Kilimanjaro (Tanzania, East Africa) to study patterns and drivers of specialization, and robustness of plant–pollinator interactions against simulated species extinction with standardized sampling methods. We studied specialization, network robustness and other network indices of 67 quantitative plant–pollinator networks consisting of 268 observational hours and 4,380 plant–pollinator interactions along a 3.4 km elevational gradient. Using path analysis, we tested whether resource availability, pollinator richness, visitation rates, temperature, and/or area explain average specialization in pollinator communities. We further linked pollinator specialization to different pollinator taxa, and species traits, that is, proboscis length, body size, and species elevational ranges. RESULTS: We found that specialization decreased with increasing elevation at different levels of biological organization. Among all variables, mean annual temperature was the best predictor of average specialization in pollinator communities. Specialization differed between pollinator taxa, but was not related to pollinator traits. Network robustness against simulated species extinctions of both plants and pollinators was lowest in the most specialized interaction networks, that is, in the lowlands. CONCLUSIONS: Our study uncovers patterns in plant–pollinator specialization along elevational gradients. Mean annual temperature was closely linked to pollinator specialization. Energetic constraints, caused by short activity timeframes in cold highlands, may force ectothermic species to broaden their dietary spectrum. Alternatively or in addition, accelerated evolutionary rates might facilitate the establishment of specialization under warm climates. Despite the mechanisms behind the patterns have yet to be fully resolved, our data suggest that temperature shifts in the course of climate change may destabilize pollination networks by affecting network architecture. |
format | Online Article Text |
id | pubmed-7042760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70427602020-03-03 Specialization of plant–pollinator interactions increases with temperature at Mt. Kilimanjaro Classen, Alice Eardley, Connal D. Hemp, Andreas Peters, Marcell K. Peters, Ralph S. Ssymank, Axel Steffan‐Dewenter, Ingolf Ecol Evol Original Research AIM: Species differ in their degree of specialization when interacting with other species, with significant consequences for the function and robustness of ecosystems. In order to better estimate such consequences, we need to improve our understanding of the spatial patterns and drivers of specialization in interaction networks. METHODS: Here, we used the extensive environmental gradient of Mt. Kilimanjaro (Tanzania, East Africa) to study patterns and drivers of specialization, and robustness of plant–pollinator interactions against simulated species extinction with standardized sampling methods. We studied specialization, network robustness and other network indices of 67 quantitative plant–pollinator networks consisting of 268 observational hours and 4,380 plant–pollinator interactions along a 3.4 km elevational gradient. Using path analysis, we tested whether resource availability, pollinator richness, visitation rates, temperature, and/or area explain average specialization in pollinator communities. We further linked pollinator specialization to different pollinator taxa, and species traits, that is, proboscis length, body size, and species elevational ranges. RESULTS: We found that specialization decreased with increasing elevation at different levels of biological organization. Among all variables, mean annual temperature was the best predictor of average specialization in pollinator communities. Specialization differed between pollinator taxa, but was not related to pollinator traits. Network robustness against simulated species extinctions of both plants and pollinators was lowest in the most specialized interaction networks, that is, in the lowlands. CONCLUSIONS: Our study uncovers patterns in plant–pollinator specialization along elevational gradients. Mean annual temperature was closely linked to pollinator specialization. Energetic constraints, caused by short activity timeframes in cold highlands, may force ectothermic species to broaden their dietary spectrum. Alternatively or in addition, accelerated evolutionary rates might facilitate the establishment of specialization under warm climates. Despite the mechanisms behind the patterns have yet to be fully resolved, our data suggest that temperature shifts in the course of climate change may destabilize pollination networks by affecting network architecture. John Wiley and Sons Inc. 2020-02-05 /pmc/articles/PMC7042760/ /pubmed/32128148 http://dx.doi.org/10.1002/ece3.6056 Text en © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Classen, Alice Eardley, Connal D. Hemp, Andreas Peters, Marcell K. Peters, Ralph S. Ssymank, Axel Steffan‐Dewenter, Ingolf Specialization of plant–pollinator interactions increases with temperature at Mt. Kilimanjaro |
title | Specialization of plant–pollinator interactions increases with temperature at Mt. Kilimanjaro |
title_full | Specialization of plant–pollinator interactions increases with temperature at Mt. Kilimanjaro |
title_fullStr | Specialization of plant–pollinator interactions increases with temperature at Mt. Kilimanjaro |
title_full_unstemmed | Specialization of plant–pollinator interactions increases with temperature at Mt. Kilimanjaro |
title_short | Specialization of plant–pollinator interactions increases with temperature at Mt. Kilimanjaro |
title_sort | specialization of plant–pollinator interactions increases with temperature at mt. kilimanjaro |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042760/ https://www.ncbi.nlm.nih.gov/pubmed/32128148 http://dx.doi.org/10.1002/ece3.6056 |
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