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大数据的能力,以捕捉受威胁的脊椎动物在保护区的多样性
Javier M Cordier1,2, Luis Osorio-Olvera3, Pablo Y Huais1,2
1Instituto de Diversidad y Ecología Animal, Consejo Nacional de Investigaciones Científicas y Técnicas (IDEA-CONICET), Cordoba, Argentina.
概括
来自IUCN和GBIF的物种分布数据显示,受威胁的脊椎动物在保护区 (PA) 的代表性存在显著差异. 提高数据准确性对于有效的保护策略和公正的PA评估至关重要.
科学领域:
- 保护生物学 保护生物学
- 生物多样性评估评估
- 在生态学中的地理信息系统 (GIS)
背景情况:
- 保护区对于缓解全球生物多样性危机至关重要.
- 保护区内的危物种的准确表示对于有效的保护成果至关重要.
- 全球物种分布数据库,如国际自然保护联盟 (IUCN) 和全球生物多样性信息设施 (GBIF),是评估PA有效性的主要工具.
研究的目的:
- 调查IUCN和GBIF数据中的差异和偏差,以调查PA的危脊椎动物代表性.
- 为了比较国际自然保护联盟和GBIF之间的物种丰富度 (SR) 估计,在全球的PA中.
- 评估这些数据库与独立数据源的准确性.
主要方法:
- 在使用IUCN和GBIF数据的PA中对受威胁的脊椎动物物种丰富度 (SR) 的全球评估.
- 两个数据库之间的SR估计的统计比较.
- 对数据库估计与PA子集的独立数据的验证.
主要成果:
- 在IUCN和GBIF (t = -62.35,p ≤ 0.001) 之间,在PA中威胁的脊椎动物的SR估计中发现了实质性的差异.
- 国际自然保护联盟的数据高估了SR的平均值为575%,而GBIF的数据低估了SR的平均值为63%,区域和分类学变化.
- 与独立评估相比,差异很大,突出了数据偏差.
结论:
- 当前的全球数据库 (IUCN,GBIF) 在保护区内代表受威胁的脊椎动物方面表现出显著的偏见和差异.
- 保护规划和PA有效性评估需要仔细考虑这些数据限制.
- 加强数据的全面性和减少物种分布数据库中的偏差对于强有力的保护决策迫切需要.
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