Hijmans R J, Garrett K A, Huamán Z, Zhang D P, Schreuder M, Bonierbale M
International Potato Center, Apartado 1558, Lima 12, Peru.
Conserv Biol. 2000 Dec 18;14(6):1755-1765. doi: 10.1111/j.1523-1739.2000.98543.x.
Genebank collection databases can be used for ecogeographical studies under the assumption that the accessions are a geographically unbiased sample. We evaluated the representativeness of a collection of wild potatoes from Bolivia and defined and assessed four types of bias: species, species-area, hotspot, and infrastructure. Species bias is the sampling of some species more often than others. Species-area bias is a sampling that is disproportionate to the total area in which a species is found. Hotspot bias is the disproportionate sampling of areas with high levels of diversity. Infrastructure bias is the disproportionate sampling of areas near roads and towns. Each of these biases is present in the Bolivian wild potato collection. The infrastructure bias was strong: 60% of all wild potato accessions were collected within 2 km of a road, as opposed to 22%, if collections had been made randomly. This analysis can serve as a guide for future collecting trips. It can also provide baseline information for the application of genebank data in studies based on geographic information systems.
基因库收集数据库可用于生态地理研究,前提是所收集的种质是地理上无偏差的样本。我们评估了来自玻利维亚的野生马铃薯收集品的代表性,并定义和评估了四种偏差类型:物种偏差、物种-面积偏差、热点偏差和基础设施偏差。物种偏差是指某些物种的采样频率高于其他物种。物种-面积偏差是指采样与发现某物种的总面积不成比例。热点偏差是指对多样性高的地区进行不成比例的采样。基础设施偏差是指对道路和城镇附近地区进行不成比例的采样。玻利维亚野生马铃薯收集品中存在所有这些偏差。基础设施偏差很强:所有野生马铃薯种质的60%是在距道路2公里范围内收集的,而如果是随机收集,这一比例为22%。该分析可为未来的采集之旅提供指导。它还可为基于地理信息系统的研究中基因库数据的应用提供基线信息。