Composition, biomass and structure of mangroves within the Zambezi River Delta
Autor: | Stanley J. Zarnoch, Carl C. Trettin, Christina E. Stringer |
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Rok vydání: | 2015 |
Předmět: |
0106 biological sciences
Delta Canopy Hydrology Biomass (ecology) geography Forest inventory River delta geography.geographical_feature_category 010504 meteorology & atmospheric sciences Ecology 010604 marine biology & hydrobiology Tree allometry Management Monitoring Policy and Law Aquatic Science 01 natural sciences Basal area Environmental science Mangrove Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences |
Zdroj: | Wetlands Ecology and Management. 24:173-186 |
ISSN: | 1572-9834 0923-4861 |
DOI: | 10.1007/s11273-015-9465-8 |
Popis: | We used a stratified random sampling design to inventory the mangrove vegetation within the Zambezi River Delta, Mozambique, to provide a basis for estimating biomass pools. We used canopy height, derived from remote sensing data, to stratify the inventory area, and then applied a spatial decision support system to objectively allocate sample plots among five strata. Height and diameter were measured on overstory trees, saplings and standing dead trees in nested plots, and biomass was calculated using allometric equations. Each of the eight mangrove species occurring in Mozambique exist within the Delta. They are distributed in heterogeneous mixtures within each of the five canopy height classes, not reflecting obvious zonation. Overstory trees averaged approximately 2000 trees ha−1, and average basal area ranged from 14 to 41 m2 ha−1 among height classes. The composition of the saplings tended to mirror the overstory, and the diameter frequency distributions suggest all-aged stands. Above-ground biomass ranged from 111 to 483 Mg ha−1 with 95 % confidence interval generally within 15 % of the height class mean. Despite over 3000 trees ha−1 in the small-tree component, 92 % of the vegetation biomass is in the overstory live trees. The objective inventory design proved effective in estimating forest biomass within the 30,267 ha mangrove forest. |
Databáze: | OpenAIRE |
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