five

Desert Uplands Plot Network: Bird Count Data and Notes for Plot TIMA09, Northern Queensland, Australia, 2013

收藏
DataONE2015-12-16 更新2024-06-27 收录
下载链接:
https://search.dataone.org/view/www.ltern.org.au/knb/metacat/ltern2.471.4/html
下载链接
链接失效反馈
官方服务:
资源简介:
The Desert Uplands Plot Network Bird Count Data contains bird fauna data for 1 of 50 permanent 1 hectare plots in Northern Queensland, Australia. This data publication refers specifically to observations made at Plot TIMA09. The CSIRO permanent plots are situated in Tropical Ironbark Woodlands, and extend across four leasehold cattle properties that lie within an area approximately 50km by 50km. The plots represent three vegetation management strategies, namely: 1) clearing (where all trees and shrubs are removed); 2) thinning (where ground and mid-storey vegetation is removed); and 3) unmodified native woodlands where significant thinning or clearing has not occurred. Within each 1 ha site, eight five-minute diurnal bird counts are conducted over a four day period. Two counts are completed per day at each site: one count in the morning within three hours of sunrise and the other a minimum of three hours after this period and before sunset. This is part of a much larger dataset that spans from 2004 to 2013. Note that previous studies were undertaken at 60 permanent 1 hectare plots and that this data is accessible as a composite data package: Metcalfe, D; Vanderduys, E (2014): Desert Uplands Plot Network: Bird Count Data and Notes, Northern Queensland, Australia, 2013. Long Term Ecological Research Network. http://www.ltern.org.au/knb/metacat/ltern2.145.23/html The Desert Uplands research plots commenced in 2004, and have been revisited in 2005, 2006, 2008 and 2013. A synopsis of related data packages which have been collected as part of the Tropical Rainforest Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/desert-uplands
创建时间:
2015-12-16
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作