Gutiérrez-Expósito Carlos, Ramírez Francisco, Afán Isabel, Forero Manuela G, Hobson Keith A
Departamento de Biología de la Conservación, Estación Biológica de Doñana (CSIC), Sevilla, Spain.
Laboratorio de SIG y Teledetección (LAST-EBD), Estación Biológica de Doñana (CSIC), Sevilla, Spain.
PLoS One. 2015 Sep 10;10(9):e0135938. doi: 10.1371/journal.pone.0135938. eCollection 2015.
A key challenge to the application of continent-wide feather isoscapes for geographic assignment of migrant birds is the lack of ground-truthed samples. This is especially true for long-distance Palearctic-Afrotropical migrants. We used spatially-explicit information on the δ2H composition of archived feathers from Green-backed/Grey-backed Camaroptera, to create a feather δ2H isoscape for sub-Saharan Africa. We sampled from 34 out of 41 sub-Saharan countries, totaling 205 sampling localities. Feather samples were obtained from museum collections (n = 224, from 1950 to 2014) for δ2H assay. Region, altitude, annual rainfall and seasonal patterns in precipitation were revealed as relevant explanatory variables for spatial patterns in feather δ2H. Predicted feather δ2H values ranged from -4.0 ‰ to -63.3 ‰, with higher values observed in the Great Rift Valley and South Africa, and lower values in central Africa. Our feather isoscape differed from that modelled previously using a precipitation δ2H isoscape and an assumed feather-to-precipitation calibration, but the relatively low model goodness fit (F10,213 = 5.98, p<0.001, R2 = 0.18) suggests that other, non-controlled variables might be driving observed geographic patterns in feather δ2H values. Additional ground-truthing studies are therefore recommended to improve the accuracy of the African feather δ2H isoscape.
在将大陆范围的羽毛氢同位素等值线应用于候鸟地理定位时,一个关键挑战是缺乏经过实地验证的样本。对于长距离的古北界 - 非洲热带迁徙鸟类来说尤其如此。我们利用了关于绿背/灰背歌百灵存档羽毛δ2H组成的空间明确信息,创建了撒哈拉以南非洲的羽毛δ2H等值线。我们从41个撒哈拉以南国家中的34个国家进行了采样,共有205个采样地点。羽毛样本取自博物馆藏品(n = 224,时间跨度为1950年至2014年)用于δ2H分析。研究发现,地区、海拔、年降雨量和降水季节模式是羽毛δ2H空间模式的相关解释变量。预测的羽毛δ2H值范围为-4.0‰至-63.3‰,在东非大裂谷和南非观察到的值较高,而在中非的值较低。我们的羽毛等值线与之前使用降水δ2H等值线和假定羽毛 - 降水校准模型得出的结果不同,但相对较低的模型拟合优度(F10,213 = 5.98,p<0.001,R2 = 0.18)表明,可能有其他未受控制的变量在驱动观察到的羽毛δ2H值的地理模式。因此,建议进行更多实地验证研究,以提高非洲羽毛δ2H等值线的准确性。