Peterson A Townsend, Navarro-Sigüenza Adolfo G, Martínez-Meyer Enrique
Biodiversity Institute, University of Kansas , Lawrence , KS , United States.
Museo de Zoología, Facultad de Ciencias, Universidad Nacional Autónoma de México , México, Distrito Federal , México.
PeerJ. 2016 Sep 7;4:e2362. doi: 10.7717/peerj.2362. eCollection 2016.
Faunal change is a basic and fundamental element in ecology, biogeography, and conservation biology, yet vanishingly few detailed studies have documented such changes rigorously over decadal time scales. This study responds to that gap in knowledge, providing a detailed analysis of Digital Accessible Knowledge of the birds of Mexico, designed to marshal DAK to identify sites that were sampled and inventoried rigorously prior to the beginning of major global climate change (1980).
We accumulated DAK records for Mexican birds from all relevant online biodiversity data portals. After extensive cleaning steps, we calculated completeness indices for each 0.05° pixel across the country; we also detected 'hotspots' of sampling, and calculated completeness indices for these broader areas as well. Sites were designated as well-sampled if they had completeness indices above 80% and >200 associated DAK records.
We identified 100 individual pixels and 20 broader 'hotspots' of sampling that were demonstrably well-inventoried prior to 1980. These sites are catalogued and documented to promote and enable resurvey efforts that can document events of avifaunal change (and non-change) across the country on decadal time scales.
Development of repeated surveys for many sites across Mexico, and particularly for sites for which historical surveys document their avifaunas prior to major climate change processes, would pay rich rewards in information about distributional dynamics of Mexican birds.
动物区系变化是生态学、生物地理学和保护生物学中的一个基本且重要的元素，然而，极少有详细研究在十年时间尺度上严格记录过此类变化。本研究回应了这一知识空白，对墨西哥鸟类的数字可获取知识进行了详细分析，旨在利用数字可获取知识来识别在全球主要气候变化开始之前（1980年）就已进行过严格采样和编目的地点。
我们从所有相关的在线生物多样性数据门户收集了墨西哥鸟类的数字可获取知识记录。经过广泛的清理步骤后，我们计算了全国每个0.05°像素的完整性指数；我们还检测了采样的“热点”区域，并计算了这些更广泛区域的完整性指数。如果地点的完整性指数高于80%且有超过200条相关的数字可获取知识记录，则将其指定为采样良好的地点。
我们识别出了100个单独的像素区域和20个更广泛的采样“热点”区域，这些区域在1980年之前已得到充分编目。对这些地点进行了编目和记录，以促进并推动重新调查工作，从而能够在十年时间尺度上记录全国鸟类区系变化（和未变化）的事件。
针对墨西哥众多地点开展重复调查，特别是针对那些历史调查记录了其在主要气候变化过程之前鸟类区系的地点进行调查，将在获取有关墨西哥鸟类分布动态的信息方面带来丰厚回报。
