The Global Index of Vegetation-Plot Databases (GIVD): a new resource for vegetation science
The Global Index of Vegetation-Plot Databases (GIVD): a new resource for vegetation science
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DOI：
10.1111/j.1654-1103.2011.01265.x
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发表时间：
2011-08-01
影响因子：
2.8
通讯作者：
Spencer, Nick
中科院分区：
文献类型：
--
作者：
Dengler, Juergen;Jansen, Florian;Spencer, Nick
问：电子数据库中有多少个植被样地观测(RELEASE)，它们在地理上是如何分布的，它们的性质是什么，它们如何被发现和定位以供研究和应用？位置：全球。方法：我们编制了全球植被样地数据库索引(GIVD；http://www.givd.info)，)，这是一个互联网资源，旨在登记现有植被数据库的元数据。为了纳入，数据库需要(1)包含时间和空间上明确的物种共现数据，(2)科学公众能够访问。本文总结了截至2010年12月30日GIVD数据库的结构和数据质量。结果：截至给定日期，GIVD共注册了132个数据库，包含240多万个非重叠地块。这些数据大部分在欧洲数据库(83个数据库，160万块地块)，而其他大陆的数据要少得多(北美洲15个，亚洲13个，非洲9个，南美洲7个，澳大拉西亚2个，多洲3个)。最古老的地块观测是1864年，但大多数地块是在1970年之后记录的。大多数地块报告的植被面积为1到1000米(2)；一些地块还存储了时间序列和嵌套地块数据。除了地理参考(需要纳入)外，最常见的信息是海拔(71%)、坡向和倾斜度(58%)和土地利用(38%)，但很少有土壤特性(
Question: How many vegetation plot observations (releves) are available in electronic databases, how are they geographically distributed, what are their properties and how might they be discovered and located for research and application?Location: Global.Methods: We compiled the Global Index of Vegetation-Plot Databases (GIVD; http://www.givd.info), an Internet resource aimed at registering metadata on existing vegetation databases. For inclusion, databases need to (i) contain temporally and spatially explicit species co-occurrence data and (ii) be accessible to the scientific public. This paper summarizes structure and data quality of databases registered in GIVD as of 30 December 2010.Results: On the given date, 132 databases containing more than 2.4 million non-overlapping plots had been registered in GIVD. The majority of these data were in European databases (83 databases, 1.6 million plots), whereas other continents were represented by substantially less (North America 15, Asia 13, Africa nine, South America seven, Australasia two, multi-continental three). The oldest plot observation was 1864, but most plots were recorded after 1970. Most plots reported vegetation on areas of 1 to 1000 m(2); some also stored time-series and nested-plot data. Apart from geographic reference (required for inclusion), most frequent information was on altitude (71%), slope aspect and inclination (58%) and land use (38%), but rarely soil properties (