five

Environmental effects on dynamic stem circumference variation in mangrove trees

收藏
Mendeley Data2024-01-31 更新2024-06-27 收录
下载链接:
https://datacommons.anu.edu.au/DataCommons/item/anudc:6005
下载链接
链接失效反馈
官方服务:
资源简介:
Daily variation in the stem circumference of a diverse range of mangrove species was studied in relation to the environmental conditions in which the trees grew in five forests located in Australia and New Caledonia. The species studied were Avicennia marina, Bruguiera gymnorrhiza, Rhizophora apiculata, R. stylosa and Xylocarpus granatum. Circumference variation in tree stems were monitored with automatic dendrometer bands. The magnitude and timing of maximum diel stem shrinking and swelling were determined and analysed in relation to variation in climatic factors (air temperature, humidity and rainfall) and tidal inundation, together with the salinity of soil pore water at a depth of 30 cm below the soil surface. Stems swelled during the day and shrank at night, with no discernible effects of salinity or tidal inundation. In contrast, increases in stem circumference were highly sensitive to rainfall, while daily maximum stem swelling was strongly correlated with daily maximum temperature. Effects of defoliation on the diel patterns of variation in stem circumference were studied in two groups of mangroves: trees of Avicennia marina growing in a hypersaline mangrove system under arid climatic conditions along Giralia Bay, Western Australia, and trees of Xylocarpus granatum growing in a low salinity mangrove system along the Daintree River in the wet tropics of North Queensland. Dendrobands recorded stem circumference variation before and after defoliation. The pattern of daytime swelling was maintained in defoliated trees, indicating that processes or factors other than canopy transpiration, such as thermal expansion, influence temporary stem diameter increments. All trees fully recovered from the defoliation treatments. Please see the accompanying publication for full details (Vilas et al 2019 PLOS ONE).
创建时间:
2024-01-31
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