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Seasonality and landscape characteristics impact species community structure and temporal dynamics of East African butterflies
Species community structures respond strongly to habitat changes. These are either driven by nature or human activities. The biota of East African drylands responds highly sensitively to natural and anthropogenic impacts. Thus, seasonality strongly influences resource availability in a cyclic manner...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302627/ https://www.ncbi.nlm.nih.gov/pubmed/34301981 http://dx.doi.org/10.1038/s41598-021-94274-6 |
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author | Schmitt, Thomas Ulrich, Werner Delic, Andjela Teucher, Mike Habel, Jan Christian |
author_facet | Schmitt, Thomas Ulrich, Werner Delic, Andjela Teucher, Mike Habel, Jan Christian |
author_sort | Schmitt, Thomas |
collection | PubMed |
description | Species community structures respond strongly to habitat changes. These are either driven by nature or human activities. The biota of East African drylands responds highly sensitively to natural and anthropogenic impacts. Thus, seasonality strongly influences resource availability in a cyclic manner during the year, with cyclic appearance of the different developmental stages of invertebrates, while man-made landscape transformations profoundly and permanently modify habitat structures and, as a consequence, species communities. Butterflies are an excellent model group for the study of the effects of seasonality, and to test for biodiversity responses to anthropogenic activities such as habitat modification, degradation and destruction. We performed transect counts of adult butterflies in riparian forests and their adjoining areas, either dry savannahs with occasional pasturing (i.e. near-natural status) or farmland areas with fields, gardens and settlements (i.e. highly degraded status with lack of original vegetation). Transects were set along the river beds as well as at 250 m and 500 m distances parallel to these rivers, with eight transects per distance class and site (i.e. 48 transects in total). We recorded habitat structures for each transect. Counts were conducted during the dry and the rainy season, with 16 repetitions for each single transect, i.e. eight per season and transect. We compiled trait data on morphology, geographic distribution, ecology, behaviour, and life-history for all butterfly species encountered. Our results show higher species richness and numbers of individuals in farmland transects compared with the savannah region. Seasonal fluctuations of the detectable species abundances between the rainy and dry season were severe. These fluctuations were much more pronounced for the savannah than the farmland area, i.e. was buffered by human activities. Farmland and savannah support two distinct butterfly communities, with generalist species being more common in the farmland communities. Strict habitat associations were comparatively weak and typical dry savannah and riparian forest species were not clearly restricted to the near natural landscape. |
format | Online Article Text |
id | pubmed-8302627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83026272021-07-27 Seasonality and landscape characteristics impact species community structure and temporal dynamics of East African butterflies Schmitt, Thomas Ulrich, Werner Delic, Andjela Teucher, Mike Habel, Jan Christian Sci Rep Article Species community structures respond strongly to habitat changes. These are either driven by nature or human activities. The biota of East African drylands responds highly sensitively to natural and anthropogenic impacts. Thus, seasonality strongly influences resource availability in a cyclic manner during the year, with cyclic appearance of the different developmental stages of invertebrates, while man-made landscape transformations profoundly and permanently modify habitat structures and, as a consequence, species communities. Butterflies are an excellent model group for the study of the effects of seasonality, and to test for biodiversity responses to anthropogenic activities such as habitat modification, degradation and destruction. We performed transect counts of adult butterflies in riparian forests and their adjoining areas, either dry savannahs with occasional pasturing (i.e. near-natural status) or farmland areas with fields, gardens and settlements (i.e. highly degraded status with lack of original vegetation). Transects were set along the river beds as well as at 250 m and 500 m distances parallel to these rivers, with eight transects per distance class and site (i.e. 48 transects in total). We recorded habitat structures for each transect. Counts were conducted during the dry and the rainy season, with 16 repetitions for each single transect, i.e. eight per season and transect. We compiled trait data on morphology, geographic distribution, ecology, behaviour, and life-history for all butterfly species encountered. Our results show higher species richness and numbers of individuals in farmland transects compared with the savannah region. Seasonal fluctuations of the detectable species abundances between the rainy and dry season were severe. These fluctuations were much more pronounced for the savannah than the farmland area, i.e. was buffered by human activities. Farmland and savannah support two distinct butterfly communities, with generalist species being more common in the farmland communities. Strict habitat associations were comparatively weak and typical dry savannah and riparian forest species were not clearly restricted to the near natural landscape. Nature Publishing Group UK 2021-07-23 /pmc/articles/PMC8302627/ /pubmed/34301981 http://dx.doi.org/10.1038/s41598-021-94274-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Schmitt, Thomas Ulrich, Werner Delic, Andjela Teucher, Mike Habel, Jan Christian Seasonality and landscape characteristics impact species community structure and temporal dynamics of East African butterflies |
title | Seasonality and landscape characteristics impact species community structure and temporal dynamics of East African butterflies |
title_full | Seasonality and landscape characteristics impact species community structure and temporal dynamics of East African butterflies |
title_fullStr | Seasonality and landscape characteristics impact species community structure and temporal dynamics of East African butterflies |
title_full_unstemmed | Seasonality and landscape characteristics impact species community structure and temporal dynamics of East African butterflies |
title_short | Seasonality and landscape characteristics impact species community structure and temporal dynamics of East African butterflies |
title_sort | seasonality and landscape characteristics impact species community structure and temporal dynamics of east african butterflies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302627/ https://www.ncbi.nlm.nih.gov/pubmed/34301981 http://dx.doi.org/10.1038/s41598-021-94274-6 |
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