Connell Rainforest Plot Network: Tropical Rainforest Understorey Light Environment Data, Davies Creek Plot, Dinden National Park, Queensland, Australia, 2013+
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https://researchdata.edu.au/connell-rainforest-plot-australia-2013/1356778
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This data package comprises data from a series of hemispherical photographs taken in 2013 and 2015 at the Connell Rainforest Plot which is situated at Davies Creek, Dinden National Park, 25 km south west of Cairns, Queensland. The 1.7 ha plot consists of mapped and tagged trees in all size classes from tiny seedlings to large canopy trees. Rates of recruitment, growth and mortality have been measured at intervals of 1-6 years with records extending back to 1963.
The primary determinant of growth rate in the understorey is light. Gaps created by the death of large canopy trees have been systematically surveyed many times over the decades until 2002, with the boundaries of the gaps being noted on hand drawn maps. These maps have never been digitized, and the originals are held at the University of California. Copies of some later maps are held by Green at La Trobe University. A digital camera with a fish-eye lens was used for the first time in 2013 to measure understorey light environments along the seedling transects. A synopsis of related data packages which have been collected as part of the Connell Rainforest Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/connell-rainforest.
本数据包包含2013年和2015年在康奈尔雨林样地(Connell Rainforest Plot)拍摄的一系列半球形照片数据。该样地位于昆士兰州凯恩斯市西南25公里处的丁登国家公园(Dinden National Park)戴维斯溪(Davies Creek)区域,面积1.7公顷,涵盖了从幼苗到高大冠层树等所有大小级别的已测绘和标记树木。自1963年起,研究人员以1-6年为间隔,持续测量树木的更新、生长及死亡率。
林下植物生长速率的主要决定因素是光照。在2002年之前的数十年间,研究人员对高大冠层树死亡所形成的林隙进行了多次系统调查,并在手绘地图上标注了林隙边界。这些地图从未数字化,原件保存在加州大学(University of California)。拉筹伯大学(La Trobe University)的Green持有部分后期地图的副本。2013年,研究人员首次使用搭载鱼眼镜头的数码相机,沿幼苗样带测量林下光照环境。作为康奈尔雨林样地网络(Connell Rainforest Plot Network)完整项目的一部分,相关数据包的概要可通过以下链接获取:http://www.ltern.org.au/index.php/ltern-plot-networks/connell-rainforest。
提供机构:
Long Term Ecological Research Network



