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dc.contributor.author
Cai, Hongyu
dc.contributor.author
Lyu, Lisha
dc.contributor.author
Shrestha, Nawal
dc.contributor.author
Tang, Zhiyao
dc.contributor.author
Su, Xiangyan
dc.contributor.author
Xu, Xiaoting
dc.contributor.author
Dimitrov, Dimitar
dc.contributor.author
Wang, Zhiheng
dc.date.accessioned
2021-01-08T16:08:13Z
dc.date.available
2020-11-06T03:56:45Z
dc.date.available
2020-11-10T07:58:09Z
dc.date.available
2021-01-08T16:08:13Z
dc.date.issued
2021-01
dc.identifier.issn
1366-9516
dc.identifier.issn
1472-4642
dc.identifier.other
10.1111/ddi.13180
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/449980
dc.identifier.doi
10.3929/ethz-b-000449980
dc.description.abstract
Aim Biodiversity hotspots are widely used as conservation priorities to preserve the tree of life. However, many conservation practices identify biodiversity hotspots without considering phylogenetic diversity (PD), which reflects total evolutionary history and feature diversity of a region. Moreover, conservation planning rarely distinguishes between neo- and palaeo-biodiversity hotspots despite their differences. Here, we (a) estimated large-scale patterns in PD of woody plants, (b) identified neo- and palaeo-biodiversity hotspots and (c) demonstrated their implication in conservation planning, with special focus on Hengduan Mountains and southern China. Location China. Methods Distributions of 11,405 woody species from the Atlas of Woody Plants in China were updated and were transformed into a grid of 50 x 50 km(2). By integrating distribution maps with a genus-level phylogeny of angiosperms, we estimated Faith's PD of each grid cell and evaluated the contribution of species relatedness to PD at given levels of species diversity (i.e. standardized PD, sPD) using regressions and three null models. Then, we identified areas with significantly lower or higher sPD than expected as neo- and palaeo-hotspots and estimated the coverage of protected areas in these regions. Results Species diversity and PD decreased towards the north. Southern China had high species diversity, PD and sPD, while Hengduan Mountains had high species diversity and PD but low sPD. The coverage of protected areas in southern China was less than half of that in Hengduan Mountains and entire China. Main conclusions Our results identified Hengduan Mountains as a neo-hotspot and southern China as a palaeo-hotspot, highlighting their importance for biodiversity conservation. Compared to Hengduan Mountains, southern China has low coverage of protected areas, which calls for more conservation attention. Our study demonstrates a way of incorporating the phylogenetic component in the identification of neo- and palaeo-hotspots, and hence of achieving a more complete perception of biodiversity patterns for conserving the tree of life.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Wiley
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Biodiversity hotspots
en_US
dc.subject
biological conservation planning
en_US
dc.subject
Hengduan Mountains
en_US
dc.subject
phylogenetic diversity
en_US
dc.subject
species richness pattern
en_US
dc.subject
woody plants
en_US
dc.title
Geographical patterns in phylogenetic diversity of Chinese woody plants and its application for conservation planning
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-10-23
ethz.journal.title
Diversity and Distributions
ethz.journal.volume
27
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Divers. Distrib.
ethz.pages.start
179
en_US
ethz.pages.end
194
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2020-11-06T03:56:50Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-01-08T16:08:23Z
ethz.rosetta.lastUpdated
2021-02-15T23:02:31Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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