Despite that several studies have shown that data derived from species lists generated from distribution occurrence records in the Global Biodiversity Information Facility(GBIF)are not appropriate for those ecological...Despite that several studies have shown that data derived from species lists generated from distribution occurrence records in the Global Biodiversity Information Facility(GBIF)are not appropriate for those ecological and biogeographic studies that require high sampling completeness,because species lists derived from GBIF are generally very incomplete,Suissa et al.(2021)generated fern species lists based on data with GBIF for 100 km×100 km grid cells across the world,and used the data to determine fern diversity hotspots and species richness-climate relationships.We conduct an evaluation on the completeness of fern species lists derived from GBIF at the grid-cell scale and at a larger spatial scale,and determine whether fern data derived from GBIF are appropriate for studies on the relations of species composition and richness with climatic variables.We show that species sampling completeness of GBIF is low(<40%)for most of the grid cells examined,and such low sampling completeness can substantially bias the investigation of geographic and ecological patterns of species diversity and the identification of diversity hotspots.We conclude that fern species lists derived from GBIF are generally very incomplete across a wide range of spatial scales,and are not appropriate for studies that require data derived from species lists in high completeness.We present a map showing global patterns of fern species diversity based on complete or nearly complete regional fern species lists.展开更多
台湾生物多样性数据库之整合从2001年开始,是因为数位典藏计划、生物多样性推动方案,及台湾加入全球生物多样性信息网络(Global Biodiversity Information Facility,GBIF),均在这一年启动。2002年"中研院"开始建置台湾物种名...台湾生物多样性数据库之整合从2001年开始,是因为数位典藏计划、生物多样性推动方案,及台湾加入全球生物多样性信息网络(Global Biodiversity Information Facility,GBIF),均在这一年启动。2002年"中研院"开始建置台湾物种名录数据库(TaiBNET),GBIF之台湾入口网TaiBIF则是在2004年时建置,用来整合台湾生物多样性的资料并与国际接轨。所采用之方法及格式均依循GBIF所发展的交换标准,一来可以整合台湾的数据,二来可及时与国际交换数据。虽然TaiBNET及TaiBIF已突破智慧财产权(知识产权)的障碍,可搜集整合数位典藏各子计划逐年累积的资料,但跨部门间及非数位典藏计划所产生的数据,仍因各单位及个人的本位主义而难以整合分享,特别是生态分布原始数据。因此2008年在"中研院"成立了跨主管部门的委员会,制订可行之资料搜集、整合与公开的政策,并要求各主管部门在委办合约中纳入。无人否认数据库整合的重要,但在现行对研究人员考评制度下,研究人员大多不愿投入数据库建置的学术服务工作,所获得的人力与经费亦日益短缺而难以永续经营。亟需相关部门的重视与支持。TaiBIF在过去6年来的推动成果虽未臻理想,但所获的经验和心得仍有可供外界参考与借镜之处。展开更多
文摘Despite that several studies have shown that data derived from species lists generated from distribution occurrence records in the Global Biodiversity Information Facility(GBIF)are not appropriate for those ecological and biogeographic studies that require high sampling completeness,because species lists derived from GBIF are generally very incomplete,Suissa et al.(2021)generated fern species lists based on data with GBIF for 100 km×100 km grid cells across the world,and used the data to determine fern diversity hotspots and species richness-climate relationships.We conduct an evaluation on the completeness of fern species lists derived from GBIF at the grid-cell scale and at a larger spatial scale,and determine whether fern data derived from GBIF are appropriate for studies on the relations of species composition and richness with climatic variables.We show that species sampling completeness of GBIF is low(<40%)for most of the grid cells examined,and such low sampling completeness can substantially bias the investigation of geographic and ecological patterns of species diversity and the identification of diversity hotspots.We conclude that fern species lists derived from GBIF are generally very incomplete across a wide range of spatial scales,and are not appropriate for studies that require data derived from species lists in high completeness.We present a map showing global patterns of fern species diversity based on complete or nearly complete regional fern species lists.
文摘台湾生物多样性数据库之整合从2001年开始,是因为数位典藏计划、生物多样性推动方案,及台湾加入全球生物多样性信息网络(Global Biodiversity Information Facility,GBIF),均在这一年启动。2002年"中研院"开始建置台湾物种名录数据库(TaiBNET),GBIF之台湾入口网TaiBIF则是在2004年时建置,用来整合台湾生物多样性的资料并与国际接轨。所采用之方法及格式均依循GBIF所发展的交换标准,一来可以整合台湾的数据,二来可及时与国际交换数据。虽然TaiBNET及TaiBIF已突破智慧财产权(知识产权)的障碍,可搜集整合数位典藏各子计划逐年累积的资料,但跨部门间及非数位典藏计划所产生的数据,仍因各单位及个人的本位主义而难以整合分享,特别是生态分布原始数据。因此2008年在"中研院"成立了跨主管部门的委员会,制订可行之资料搜集、整合与公开的政策,并要求各主管部门在委办合约中纳入。无人否认数据库整合的重要,但在现行对研究人员考评制度下,研究人员大多不愿投入数据库建置的学术服务工作,所获得的人力与经费亦日益短缺而难以永续经营。亟需相关部门的重视与支持。TaiBIF在过去6年来的推动成果虽未臻理想,但所获的经验和心得仍有可供外界参考与借镜之处。
