中国兜兰属宽瓣亚属植物生存现状及保护成效

为明确兜兰属(Paphiopedilum)宽瓣亚属(Subgenus.Brachypetalum)植物各物种在我国的生存现状与濒危状况,在大量的野外调查和文献、标本数据收集的基础上,对其种群分布、数量、生境特征、市场贸易、受威胁因素、保护现状与保护成效进行统计分析,并依据《IUCN红色名录等级和标准(3.1版)》对该类群的濒危等级进行重新评估.结果表明,野外调查到硬叶兜兰(Paphiopedilum.micranthum)、麻栗坡兜兰(P.malipoense)、杏黄兜兰(P.armeniacum)、白花兜兰(P.emersonii)、巨瓣兜兰(P.bellatulum)、文山兜兰(P.wenshanense)、同色兜兰(P.concolor)7个目标物种,已知分布于我国50个县(市、区),共计194个自然分布点.宽瓣亚属植物在我国水平方向上主要分布于滇东南、黔西南、黔东北、滇西北、桂北与黔南交界处以及桂西北至桂西南等地区;垂直方向上集中分布于中高海拔段(780~1267m),平均海拔997m;在全国大尺度上,该亚属整体呈零散分布,区域小尺度上个体呈聚集生长;其小生境具有高海拔、透水、透气、喜阴、喜钙的特点.市场调查的贸易率为36.67%,贸易价格高低不等,具有较强的随机性;贸易来源主要为野外采挖,占贸易数量的88.32%,具有较强的地域性;贸易方式为现场和线上网络交易,具有较强的灵活性.该类群主要受到采挖和生境退化的威胁,分别占所有分布点的44.85%、29.83%.宽瓣亚属整体就地保率仅为34.53%,保护成效为一般保护;调查的29个保育地中,有20个保育地对该类群累计保育98次,除文山兜兰和绿叶兜兰外,其他7种迁地保护成效被评估为合适.巨瓣兜兰、文山兜兰由原来的濒危(EN)评估为极危(CR);麻栗坡兜兰、白花兜兰、杏黄兜兰评估等级未发生变化,仍为极危(CR);硬叶兜兰和同色兜兰由原来的易危(VU)评估为濒危(EN);德氏兜兰、绿叶兜兰被评为数据缺乏(DD).     

Significance of Sighting Rate in Inferring Extinction and Threat

Abstract:  We are now entering a time of immense environmental upheaval in which, increasingly, experts are required to provide conservation assessments. Quantitative assessment of trends in species' range and abundance is costly, requiring extensive field studies over a long period of time. Unfortunately, many species are only known through a few "chance" sightings or a handful of specimens, and therefore extinction may be even harder to ascertain. Several methods have been proposed for estimating the probability of extinction. However, comparison within and between species is difficult because of variations in sighting rates. We applied a probabilistic method that incorporates sighting rate to the sighting record of Vietnamese slipper orchids ( Paphiopedilum ). The method generates a probability that another sighting will occur given the previous sighting rate and the time since last observation. This allows greater comparability between species discovered at different times. Its predictions were more highly correlated with the World Conservation Union criteria than previous methods. Trends in data collection and the political climate of a country, which affects access to material, are important potential sources of variation that affect sighting rates. A lack of understanding of the process by which data are generated makes inferring extinction from sighting records difficult because extinction status depends on how the sighting rate varies. However, such methods allow rapid conservation prioritization of taxa that are poorly known and would otherwise go unassessed.