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Article: Inter‐annual monitoring improves diversity estimation of tropical butterfly assemblages

TitleInter‐annual monitoring improves diversity estimation of tropical butterfly assemblages
Authors
Keywordsadditive partitioning
biodiversity monitoring
temporal variation
tropical butterfly
Issue Date2019
PublisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://www3.interscience.wiley.com/journal/118501466/home
Citation
Biotropica, 2019, v. 51 n. 4, p. 519-528 How to Cite?
AbstractMonitoring programs for diverse tropical butterfly assemblages are scarce, and temporal diversity patterns in these assemblages are poorly understood. We adopted an additive partitioning approach to determine how temporal butterfly species richness was structured at the levels of days, months, and years in five tropical/subtropical sites across three continents covering up to 9 years of monitoring. We found that observed butterfly richness was not uniformly distributed across temporal extents. Butterfly species composition differed across months and years, potentially accounting for the fact that temporal butterfly species richness contributed a high proportion to total species richness. We further examined how species richness of common and uncommon species (> and <0.5% of total abundance, respectively) were structured across temporal extents. The results showed that the common species relative contribution to total species richness was higher at lower‐temporal levels, whereas uncommon species contributed more at higher‐temporal resolutions. This suggests that long‐term sampling will be more effective in capturing patterns of rare species and the total species pool while lower‐temporal level sampling (e.g., daily or weekly) may be more useful in examining common species demographic patterns. We therefore encourage careful consideration of temporal replication at different extents in developing butterfly monitoring schemes. Long‐term monitoring is essential for improvement in the resolution of species estimation and diversity patterns for tropical ecosystems.
Persistent Identifierhttp://hdl.handle.net/10722/288301
ISSN
2023 Impact Factor: 1.8
2023 SCImago Journal Rankings: 0.782
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLUK, CL-
dc.contributor.authorBasset, Y-
dc.contributor.authorKongnoo, P-
dc.contributor.authorHau, BCH-
dc.contributor.authorBonebrake, TC-
dc.date.accessioned2020-10-05T12:10:50Z-
dc.date.available2020-10-05T12:10:50Z-
dc.date.issued2019-
dc.identifier.citationBiotropica, 2019, v. 51 n. 4, p. 519-528-
dc.identifier.issn0006-3606-
dc.identifier.urihttp://hdl.handle.net/10722/288301-
dc.description.abstractMonitoring programs for diverse tropical butterfly assemblages are scarce, and temporal diversity patterns in these assemblages are poorly understood. We adopted an additive partitioning approach to determine how temporal butterfly species richness was structured at the levels of days, months, and years in five tropical/subtropical sites across three continents covering up to 9 years of monitoring. We found that observed butterfly richness was not uniformly distributed across temporal extents. Butterfly species composition differed across months and years, potentially accounting for the fact that temporal butterfly species richness contributed a high proportion to total species richness. We further examined how species richness of common and uncommon species (> and <0.5% of total abundance, respectively) were structured across temporal extents. The results showed that the common species relative contribution to total species richness was higher at lower‐temporal levels, whereas uncommon species contributed more at higher‐temporal resolutions. This suggests that long‐term sampling will be more effective in capturing patterns of rare species and the total species pool while lower‐temporal level sampling (e.g., daily or weekly) may be more useful in examining common species demographic patterns. We therefore encourage careful consideration of temporal replication at different extents in developing butterfly monitoring schemes. Long‐term monitoring is essential for improvement in the resolution of species estimation and diversity patterns for tropical ecosystems.-
dc.languageeng-
dc.publisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://www3.interscience.wiley.com/journal/118501466/home-
dc.relation.ispartofBiotropica-
dc.rightsPreprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.-
dc.subjectadditive partitioning-
dc.subjectbiodiversity monitoring-
dc.subjecttemporal variation-
dc.subjecttropical butterfly-
dc.titleInter‐annual monitoring improves diversity estimation of tropical butterfly assemblages-
dc.typeArticle-
dc.identifier.emailHau, BCH: chhau@hku.hk-
dc.identifier.emailBonebrake, TC: tbone@hku.hk-
dc.identifier.authorityHau, BCH=rp00703-
dc.identifier.authorityBonebrake, TC=rp01676-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/btp.12671-
dc.identifier.scopuseid_2-s2.0-85068393597-
dc.identifier.hkuros314681-
dc.identifier.volume51-
dc.identifier.issue4-
dc.identifier.spage519-
dc.identifier.epage528-
dc.identifier.isiWOS:000474057600001-
dc.publisher.placeUnited States-
dc.identifier.issnl0006-3606-

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