Liu Gang, Shafer Aaron B A, Hu Xiaolong, Li Linhai, Ning Yu, Gong Minghao, Cui Lijuan, Li Huixin, Hu Defu, Qi Lei, Tian Hengjiu, Wang Bojun
Research Institute of Wetland Beijing Key Laboratory of Wetland Services and Restoration Chinese Academy of Forestry Beijing China.
Forensics & Environmental and Life Sciences Trent University Peterborough ON Canada.
Ecol Evol. 2018 Jan 8;8(3):1736-1745. doi: 10.1002/ece3.3791. eCollection 2018 Feb.
Food resources are often not sufficient to satisfy the nutritional and energetic requirements during winter conditions at high latitudes. Dietary analysis is a prerequisite to fully understanding the feeding ecology of a species and the nature of trophic interactions. Previous dietary studies of Asian Great Bustard () relied on behavioral observations, resulting in categorization of diet limited to broad taxonomic groupings. Here, we applied a high-throughput sequencing meta-barcoding approach to quantify the diet of resident and migratory Asian Great Bustard in three wintering sites during early winter and late winter. We detected 57 unique plant taxa in the bustard diet, among which 15 species were confirmed by a local plant database we generated. Both agricultural and natural foods were detected, indicating a relatively broad dietary niche. Spatiotemporal dietary changes were discovered, revealing diet differences among wintering sites and a general shift toward lower plant diversity later in winter. For the nonmigratory population, we detected a significantly more diverse array of plant species in their diet. We hypothesize that dietary variation between resident and migratory populations could be involved in the recent transition to partial migration in this species, although climate change can not be excluded. Collectively, these results support protecting unharvested grain fields and naturally unplowed lands to help conserve and promote population growth of Asian Great Bustard.
在高纬度地区的冬季,食物资源往往不足以满足营养和能量需求。饮食分析是全面了解一个物种的觅食生态和营养相互作用本质的先决条件。以往对亚洲大鸨()的饮食研究依赖于行为观察,导致饮食分类仅限于宽泛的分类群。在此,我们应用高通量测序元条形码方法,对初冬和冬末三个越冬地的留居和迁徙亚洲大鸨的饮食进行量化。我们在大鸨的饮食中检测到57种独特的植物分类群,其中15种通过我们建立的当地植物数据库得到确认。农业和天然食物均被检测到,表明其饮食生态位相对较宽。发现了时空饮食变化,揭示了越冬地之间的饮食差异以及冬季后期植物多样性普遍向更低水平的转变。对于非迁徙种群,我们在其饮食中检测到种类显著更多的植物。我们推测,留居和迁徙种群之间的饮食差异可能与该物种最近向部分迁徙的转变有关,尽管气候变化也不能排除在外。总体而言,这些结果支持保护未收割的粮田和天然未耕地,以帮助保护和促进亚洲大鸨种群增长。