Canopy removal experiment and recovery length
收藏NIAID Data Ecosystem2026-03-11 收录
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https://figshare.com/articles/dataset/Canopy_removal_experiment_and_recovery_length/3470210
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资源简介:
Data from two manipulative experiments investigating the effect of
different level canopy removal on algal turf invasion in
Capraia Island. -RECOVERY LENGTH EXPERIMENT-
Datasets named Rec.len_HSRturf_Capraia_2014 and Rec.len_HSRturf_Capraia_2015 include data on propagation of algal turf for different level of canopy removal in 8 90x30 cm experimental transects. In each transect two region of different quality were produced: a cleared patch (30x30cm), where all erect organisms were removed and a canopy-degraded region (of 60x30cm) which was allocated to the following conditions: 0%, 25%, 50% and 75% of canopy removal. The cleared patch and canopy-degraded region were sampled at the scale of
2 x 2 cm, yielding 675 observations for each transect. Algal turfs cover was assessed twice: after one and two years from the set-up of the experiment
(July 2014, July 2015).
Datasets named Rec.len_C.amentacea_2014 and Rec.len_C.amentacea_2015 include data of Cystoseira amentacea cover of cleared patches in and canopy degraded region for each transect.
-CANOPY REMOVAL EXPERIMENT-
The dataset named Exp.Can.rem_HSRTurf_2015 includes data of turf cover for different level of canopy removal (0%, 25%, 50% and 75%). 8 transects of 60 x 30 cm were randomly assigned that to these treatments:0%, 25%, 50% and 75% of
canopy removed. Visual estimates of percentage cover of algal turfs was obtained by sampling these transects in July 2015 as described above.
Dataset named ExpCanrem_C.amentacea_2015 include data of Cystoseira amentacea cover for each experimental transect.
-R SCRIPTS
The R file named Maximum-Likelihood estimation includes the script to conduct the maximum likelihood estimation of Turf-Cystoseira model parameter.
The R file named Rec_len_Bootstrap includes the script to compute recovery length metrics (Half-point recovery length (Lhalf) and the Exponential recovery length (Lexp) ) and the bootstraps standard errors.
创建时间:
2020-01-09



