School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China.
Centre for Integrative Conservation, Xishuangbanna Tropical Botanic Garden, Chinese Academy of Sciences, Yunnan, China.
PLoS One. 2019 Jan 25;14(1):e0210552. doi: 10.1371/journal.pone.0210552. eCollection 2019.
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.
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.
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.
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.
本研究旨在促进东亚-澳大拉西亚飞行航道(East Asian-Australasian Flyway,EAAF)沿线迁徙涉禽物种的保护,特别是:1)确定飞行航道沿线涉禽物种丰富度的热点,并有效绘制这些热点在繁殖期、非繁殖期和迁徙期之间可能发生的变化;2)确定现有的保护区(Protected Area,PA)网络是否足以有效保护 EAAF 沿线的涉禽生物多样性热点;3)评估物种分布模型如何为现有鸟类生活国际(BirdLife International)的范围图提供补充分布估计。
我们使用物种分布模型(Species Distribution Modelling,SDM)方法(最大熵法)来开发 57 种迁徙涉禽物种在其年度周期内的时间明确的个体范围图,包括繁殖期、非繁殖期和迁徙期,这反过来又为每个阶段提供了 EAAF 沿线迁徙涉禽生物多样性热点的第一张地图。我们评估每个迁徙期的保护区覆盖情况,并分析每个时期分布的主要环境驱动因素。此外,我们将模型热点与从鸟类生活国际数据库获得的同一物种的现有范围图进行比较。
与基于鸟类生活国际范围图的涉禽生物多样性热点地图相比,我们的模型结果表明,整体物种丰富度更高,空间分布也不同。我们 57 种研究物种的 eBird 数据库中的实地观测记录证实了模型输出所揭示的许多热点(特别是在黄海沿海地区),这表明 EAAF 的当前丰富度可能被低估了,某些热点被忽视了。支持涉禽的陆地区域(内陆和沿海)不到 10%得到了保护,而具有最高 10%物种丰富度的区域中只有 5%得到了保护。
研究结果表明,需要为迁徙涉禽的研究和保护确定新的优先区域,包括黄海地区和俄罗斯远东地区。这也表明需要增加现有的保护区网络的覆盖范围和百分比,以实现飞行航道国家的爱知目标 11,包括对涉禽迁徙的时间动态给予更强的考虑。