Data collection and processing: All live trees greater than 1m in height above the sediment surface were tagged with marking tape so they could be identified. This height restriction ensured the inclusion of saplings, defined as trees greater or equal to 1m in height with a girth of less than 4cm (English et al. 1997). For each individual, the species was noted, height above ground sediment measured and the x and y coordinates taken to allow future monitoring. Tree diameter at breast height (DBH) was measured at 130cm from the ground (Brokaw & Thompson 2000) using a pre-calibrated tape measure when DBH was greater or equal to 2.5cm. In circumstances when the tree branched below this height standardised rules were followed (sensu English et al.1997, Benfield et al. 2005). Trees measured for DBH were marked at the location where this variable was recorded and numbered using stainless steel tags to assist future relocation and recording.
Within each plot, data on seedlings were also taken. Many plots had very low numbers of seedlings (less than 50) allowing the direct measurement of every seedling. For those plots that contained greater than 50 seedlings, five 1m by 1m subplots were randomly chosen and marked using four PVC poles so that they could be monitored (sensu CARICOMP 2001). One meter rules were used to form the x and y axis. The species, height and coordinates of the seedlings in subplots (or within the whole plot where there were less than 50 seedlings) were recorded. Seedlings were also numbered with a stainless steel tag.
The importance value of each species in each plot for the adult/sapling population was calculated using the equations given by Cintrón & Schaeffer-Novelli (1984). This was to ascertain the contribution of each species to the mangrove forest and the importance value was used as an indicator of the degree of monospecificity (Cintrón & Schaeffer Novelli 1984, English et al. 1997). To examine differences in height and DBH between sites Kruskal-Wallis tests and Dunn’s multiple comparison procedures were implemented in SigmaStat.
Data collection and processing: All live trees greater than 1m in height above the sediment surface were tagged with marking tape so they could be identified. This height restriction ensured the inclusion of saplings, defined as trees greater or equal to 1m in height with a girth of less than 4cm (English et al. 1997). For each individual, the species was noted, height above ground sediment measured and the x and y coordinates taken to allow future monitoring. Tree diameter at breast height (DBH) was measured at 130cm from the ground (Brokaw & Thompson 2000) using a pre-calibrated tape measure when DBH was greater or equal to 2.5cm. In circumstances when the tree branched below this height standardised rules were followed (sensu English et al.1997, Benfield et al. 2005). Trees measured for DBH were marked at the location where this variable was recorded and numbered using stainless steel tags to assist future relocation and recording.
Within each plot, data on seedlings were also taken. Many plots had very low numbers of seedlings (less than 50) allowing the direct measurement of every seedling. For those plots that contained greater than 50 seedlings, five 1m by 1m subplots were randomly chosen and marked using four PVC poles so that they could be monitored (sensu CARICOMP 2001). One meter rules were used to form the x and y axis. The species, height and coordinates of the seedlings in subplots (or within the whole plot where there were less than 50 seedlings) were recorded. Seedlings were also numbered with a stainless steel tag.
The importance value of each species in each plot for the adult/sapling population was calculated using the equations given by Cintrón & Schaeffer-Novelli (1984). This was to ascertain the contribution of each species to the mangrove forest and the importance value was used as an indicator of the degree of monospecificity (Cintrón & Schaeffer Novelli 1984, English et al. 1997). To examine differences in height and DBH between sites Kruskal-Wallis tests and Dunn’s multiple comparison procedures were implemented in SigmaStat.
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