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Article: Mapping wader biodiversity along the East Asian—Australasian flyway

TitleMapping wader biodiversity along the East Asian—Australasian flyway
Authors
Issue Date2019
PublisherPublic Library of Science. The Journal's web site is located at http://www.plosone.org/home.action
Citation
PLoS One, 2019, v. 14 n. 1, article no. e0210552 How to Cite?
AbstractBackground and goal The study is conducted to facilitate conservation of migratory wader species along the East Asian-Australasian Flyway, particularly to 1) Identify hotspots of wader species richness along the flyway and effectively map how these might change between breeding, non-breeding and migratory phases; 2) Determine if the existing network of protected areas (PA) is sufficient to effectively conserve wader biodiversity hotspots along the EAAF; 3) Assess how species distribution models can provide complementary distribution estimates to existing BirdLife range maps. Methods We use a species distribution modelling (SDM) approach (MaxEnt) to develop temporally explicit individual range maps of 57 migratory wader species across their annual cycle, including breeding, non-breeding and migratory phases, which in turn provide the first biodiversity hotspot map of migratory waders along the EAAF for each of these phases. We assess the protected area coverage during each migration period, and analyse the dominant environmental drivers of distributions for each period. Additionally, we compare model hotspots to those existing range maps of the same species obtained from the BirdLife Internationals’ database. Results Our model results indicate an overall higher and a spatially different species richness pattern compared to that derived from a wader biodiversity hotspot map based on BirdLife range maps. Field observation records from the eBird database for our 57 study species confirm many of the hotspots revealed by model outputs (especially within the Yellow Sea coastal region), suggesting that current richness of the EAAF may have been underestimated and certain hotspots overlooked. Less than 10% of the terrestrial zones area (inland and coastal) which support waders are protected and, only 5% of areas with the highest 10% species richness is protected. Main conclusions The study results suggest the need for new areas for migratory wader research and conservation priorities including Yellow Sea region and Russian far-East. It also suggests a need to increase the coverage and percentage of current PA network to achieve Aichi Target 11 for Flyway countries, including giving stronger consideration to the temporal dynamics of wader migration.
Persistent Identifierhttp://hdl.handle.net/10722/275419
ISSN
2023 Impact Factor: 2.9
2023 SCImago Journal Rankings: 0.839
PubMed Central ID
ISI Accession Number ID
Errata

 

DC FieldValueLanguage
dc.contributor.authorLi, J-
dc.contributor.authorHughes, AC-
dc.contributor.authorDudgeon, D-
dc.date.accessioned2019-09-10T02:42:12Z-
dc.date.available2019-09-10T02:42:12Z-
dc.date.issued2019-
dc.identifier.citationPLoS One, 2019, v. 14 n. 1, article no. e0210552-
dc.identifier.issn1932-6203-
dc.identifier.urihttp://hdl.handle.net/10722/275419-
dc.description.abstractBackground and goal The study is conducted to facilitate conservation of migratory wader species along the East Asian-Australasian Flyway, particularly to 1) Identify hotspots of wader species richness along the flyway and effectively map how these might change between breeding, non-breeding and migratory phases; 2) Determine if the existing network of protected areas (PA) is sufficient to effectively conserve wader biodiversity hotspots along the EAAF; 3) Assess how species distribution models can provide complementary distribution estimates to existing BirdLife range maps. Methods We use a species distribution modelling (SDM) approach (MaxEnt) to develop temporally explicit individual range maps of 57 migratory wader species across their annual cycle, including breeding, non-breeding and migratory phases, which in turn provide the first biodiversity hotspot map of migratory waders along the EAAF for each of these phases. We assess the protected area coverage during each migration period, and analyse the dominant environmental drivers of distributions for each period. Additionally, we compare model hotspots to those existing range maps of the same species obtained from the BirdLife Internationals’ database. Results Our model results indicate an overall higher and a spatially different species richness pattern compared to that derived from a wader biodiversity hotspot map based on BirdLife range maps. Field observation records from the eBird database for our 57 study species confirm many of the hotspots revealed by model outputs (especially within the Yellow Sea coastal region), suggesting that current richness of the EAAF may have been underestimated and certain hotspots overlooked. Less than 10% of the terrestrial zones area (inland and coastal) which support waders are protected and, only 5% of areas with the highest 10% species richness is protected. Main conclusions The study results suggest the need for new areas for migratory wader research and conservation priorities including Yellow Sea region and Russian far-East. It also suggests a need to increase the coverage and percentage of current PA network to achieve Aichi Target 11 for Flyway countries, including giving stronger consideration to the temporal dynamics of wader migration.-
dc.languageeng-
dc.publisherPublic Library of Science. The Journal's web site is located at http://www.plosone.org/home.action-
dc.relation.ispartofPLoS ONE-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleMapping wader biodiversity along the East Asian—Australasian flyway-
dc.typeArticle-
dc.identifier.emailDudgeon, D: ddudgeon@hku.hk-
dc.identifier.authorityDudgeon, D=rp00691-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1371/journal.pone.0210552-
dc.identifier.pmid30682055-
dc.identifier.pmcidPMC6347144-
dc.identifier.scopuseid_2-s2.0-85060547449-
dc.identifier.hkuros304022-
dc.identifier.volume14-
dc.identifier.issue1-
dc.identifier.spagearticle no. e0210552-
dc.identifier.epagearticle no. e0210552-
dc.identifier.isiWOS:000457037500045-
dc.publisher.placeUnited States-
dc.relation.erratumdoi:10.1371/journal.pone.0215877-
dc.relation.erratumeid:eid_2-s2.0-85064492727-
dc.identifier.issnl1932-6203-

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