A new look at computation of the complexity index in mangroves: do disturbed forests have clues to analyze canopy height patchiness?

Abstract

This paper proposes some guidelines to compute complexity index in those mangroves where either seasonal or strong disturbances have occurred. We surveyed 31 mangrove localities in Buenaventura Bay, Central Pacific Coast of Colombia, where structural parameters were measured within a 0.1 ha plot. Also, most likely disturbances were noted for each plot. Complexity index was calculated in its classical form using the arithmetic mean of the three tallest trees(maximal mean) and alternatively using: a) the total mean: the height average of all trees recorded in each plot; and b) the mode: the most frequent tree height class (10 cm intervals) within each plot. Afterwards, we compared the three computations and discussed there liability of each one according to the current state by plot. In addition, all structural parameters were sorted in two diameter at breast height (dbh) cohorts (2.5–10 cm and ≥ 10 cm) to figure out which contributes more to the forest structure. We conclude the following: (a) The mean of the three tallest trees is not a good estimator of forest development when seasonal or strong disturbances occur since complexity index based in it always overestimates forest structure. (b) Seasonal disturbances and recruitment produce mosaic forests. The best estimator of this condition is the mean height which encompasses both central tendency and variability. (c) The modal height is also helpful to establish the dominant cohort when forests show two or more storied-canopies, or intermediate cohorts are missing. It also applies when a new stock of recruits is entering in a mature forest (the modal or maximal heights can be used interchangeably in this case). (d) Maximal height is the best estimator for uniformly developed forests with closed canopies and/or a single dominant tall-cohort. (e) If one is not confident about which height type to include to compute the complexity index, we recommend to sort out structure data by dbh-cohorts and calculate indices for both of them. This will show which cohort is contributing most to forest complexity. Finally, we suggest to exclude non-mangrove species from the complexity index computation since they mostly do not contribute significantly to forest basal area.