Premium
Hydroperiod is the main driver of the spatial pattern of dominance in mangrove communities
Author(s) -
Crase Beth,
Liedloff Adam,
Vesk Peter A.,
Burgman Mark A.,
Wintle Brendan A.
Publication year - 2013
Publication title -
global ecology and biogeography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.164
H-Index - 152
eISSN - 1466-8238
pISSN - 1466-822X
DOI - 10.1111/geb.12063
Subject(s) - mangrove , generalized linear model , dominance (genetics) , ecology , threatened species , environmental science , intertidal zone , salinity , generalized additive model , geography , habitat , biology , statistics , mathematics , biochemistry , gene
Aim Many mangrove communities form bands parallel to the shoreline with each community dominated by a single species. However, the key determinants of mangrove species distribution across the intertidal zone are not well understood. We aimed to quantify the relationship between species' dominance and the hydroperiod (defined as the duration of inundation in a year), soil salinity and the salinity of inundating water for three dominant species, S onneratia alba , R hizophora stylosa and C eriops tagal . Location An extensive (20,000 ha), largely intact mangrove forest in northern A ustralia, of some note as mangrove forests are threatened globally. Methods We related species dominance to the explanatory variables by applying two statistical modelling approaches: generalized linear models ( GLM s), where a set of competing models were evaluated; and boosted regression tree models ( BRT s), an approach that automatically captures interactions and nonlinear relationships between variables. Results Both GLM and BRT models achieved strong predictive performance for all species based on cross‐validation, with receiver operating characteristics above 0.85 for all species, and 88% of deviance explained for S . alba , 42% for R . stylosa and 35% for C . tagal . All models indicated that the hydroperiod was the key variable influencing distribution, followed by soil salinity. The salinity of inundating water was the least informative variable in the models. Ecological space, determined by gradients in hydroperiod and soil salinity, was partitioned between the three species with little overlap. Main conclusions As anticipated changes in sea level will alter the hydroperiod, our findings are critical for global forecasting of future distributions of mangrove communities, and for the design of mitigation and adaptation measures.