Medellín Rodrigo A, Equihua Miguel, Amin Miguel A
Instituto de Ecología, Universidad Nacional Autónoma de México, Ap. Postal 70-275, 04510, México, D.F.
Instituto de Ecología, A.C., Ap. Postal 63, 91000 Xalapa, Veracruz, México, D.F.
Conserv Biol. 2000 Dec 18;14(6):1666-1675. doi: 10.1111/j.1523-1739.2000.99068.x.
Evaluating the degree of disturbance of any region to determine its relative importance for conservation purposes requires procedures that are relatively inexpensive and that yield accurate results fast. Because bats are abundant, diverse, and easy to sample, especially in the Neotropical rainforest, they fulfill several of the requirements of indicator species as identified in the literature. For 10 months we sampled bat communities in the Selva Lacandona in Chiapas, Mexico, at 15 sites representing five habitats. We also measured 10 variables representing vegetation structure and diversity at each site. With fuzzy-set techniques we produced a gradient classification of disturbance for the 15 sites based on the vegetation data. We explored the relationship between vegetation conditions, described as the membership degrees in the construct "fuzzy forest set" (the complementary fuzzy set of "disturbance"), and four bat community variables. Bat species richness, number of rare bat species, and the bat diversity index were positively correlated with the vegetation scores, and relative abundance of the most abundant bat species was negatively correlated with vegetation scores. A high number of phyllostomine species in a community is a good indicator of low levels of disturbance. Although a single indicator group will probably not be sufficient for decision-making processes in conservation, evaluating bat populations may be a good first step in assessing an area's conservation value, especially in rainforest regions.
评估任何区域的干扰程度以确定其在保护方面的相对重要性,需要采用成本相对较低且能快速得出准确结果的程序。由于蝙蝠数量众多、种类多样且易于采样,尤其是在新热带雨林地区,它们满足了文献中所确定的指示物种的多项要求。在10个月的时间里,我们在墨西哥恰帕斯州的塞尔瓦拉坎多纳地区的15个代表五种栖息地的地点对蝙蝠群落进行了采样。我们还测量了每个地点代表植被结构和多样性的10个变量。利用模糊集技术,我们根据植被数据对这15个地点的干扰程度进行了梯度分类。我们探讨了被描述为“模糊森林集”(“干扰”的互补模糊集)构建中的隶属度的植被状况与四个蝙蝠群落变量之间的关系。蝙蝠物种丰富度、珍稀蝙蝠物种数量和蝙蝠多样性指数与植被得分呈正相关,而最丰富蝙蝠物种的相对丰度与植被得分呈负相关。群落中大量的叶口蝠物种是低干扰水平的良好指标。尽管单一的指标组可能不足以用于保护决策过程,但评估蝙蝠种群可能是评估一个地区保护价值的良好第一步,尤其是在雨林地区。