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Data for: Sun, Ogushi, Tseng -Lepidoptera species richness and community composition in urban street trees Tseng, Michelle
Description
<b>Abstract</b><br/>
The triple threats of climate change, habitat loss, and environmental pollution have stimulated discussion on how urban areas can be modified to both mitigate heat increases and provide habitat for wildlife such as insects. The strategy of using trees to reduce temperatures has been adopted by numerous cities. However, the majority of street trees planted around the world are non-native. Studies conducted in non-urban areas have demonstrated in comparison to native plants, non-native plants are less likely to support native insect diversity. Here we use a database approach to quantify the number of native Lepidoptera species associated with 76 of the most common street tree species planted in Vancouver, Canada. We tested the prediction that compared to non-native trees, native street trees will support a higher diversity and unique community of native Lepidoptera. As predicted, native street trees were associated with five times as many native Lepidoptera species, and the Lepidoptera communities supported by native vs. non-native street trees were distinct. There was no difference in native Lepidoptera associations between broadleaf vs. coniferous street trees. These results are consistent with studies that have used active sampling techniques to investigate insect richness on a smaller subset of native and non-native tree species. Collectively, these data provide good evidence that the planting native instead of non-native trees will help stem the loss of insect diversity in urban areas.</p>; <b>Methods</b><br />
Data were compiled from existing databases or published literature. No new data were collected.</p>
Item Metadata
Title |
Data for: Sun, Ogushi, Tseng -Lepidoptera species richness and community composition in urban street trees
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Creator | |
Date Issued |
2024-05-13
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Description |
<b>Abstract</b><br/>
The triple threats of climate change, habitat loss, and environmental pollution have stimulated discussion on how urban areas can be modified to both mitigate heat increases and provide habitat for wildlife such as insects. The strategy of using trees to reduce temperatures has been adopted by numerous cities. However, the majority of street trees planted around the world are non-native. Studies conducted in non-urban areas have demonstrated in comparison to native plants, non-native plants are less likely to support native insect diversity. Here we use a database approach to quantify the number of native Lepidoptera species associated with 76 of the most common street tree species planted in Vancouver, Canada. We tested the prediction that compared to non-native trees, native street trees will support a higher diversity and unique community of native Lepidoptera. As predicted, native street trees were associated with five times as many native Lepidoptera species, and the Lepidoptera communities supported by native vs. non-native street trees were distinct. There was no difference in native Lepidoptera associations between broadleaf vs. coniferous street trees. These results are consistent with studies that have used active sampling techniques to investigate insect richness on a smaller subset of native and non-native tree species. Collectively, these data provide good evidence that the planting native instead of non-native trees will help stem the loss of insect diversity in urban areas.</p>; <b>Methods</b><br /> Data were compiled from existing databases or published literature. No new data were collected.</p> |
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Notes |
Dryad version number: 6</p> Version status: submitted</p> Dryad curation status: Published</p> Sharing link: http://datadryad.org/stash/dataset/doi:10.5061/dryad.3j9kd51r7</p> Storage size: 455997</p> Visibility: public</p> |
Date Available |
2024-05-09
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Provider |
University of British Columbia Library
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License |
CC0 1.0
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DOI |
10.14288/1.0443034
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URI | |
Publisher DOI | |
Aggregated Source Repository |
Dataverse
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Item Media
Item Citations and Data
Licence
CC0 1.0