. We used the intermediate disturbance hypothesis, and the species-energy theory to explain 35 algal richness patterns, and the competitive, stress-tolerant, ruderal (CSR) framework to 36 classify indicator taxa. We collected algal samples, environmental data and information 37 expected to influence community structure (water depth, relative depth change, P 38 concentrations, hydroperiod, and habitat type) over several years at sites representing a broad 39 range of environmental characteristics. To account for sample size differences, we estimated 40 algal richness by determining the asymptote of taxon accumulation curves. Using multiple 41 regression analysis, we assessed if and how water depth, depth change, P, hydroperiod, and 42 habitat type influence richness within each wetland. We then compared the strength of the 43 relationships between these controlling features and richness between wetlands. Using 44 indicator species analysis on relative abundance data, we classified C, S and R indicator taxa 45 with shorter/longer hydroperiod, and lower/higher P concentrations. 3. In either wetland, we did not observe the negative unimodal relationship between site-47 specific richness and water depth change that was expected following the intermediate 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 Okavango's natural pulse, and increasing freshwater flow in the Everglades would help 52 protect these wetlands' algal diversity. Chlorophyta richness (Okavango), and total, 53 Bacillariophyta, Chlorophyta and cyanobacteria richness (Everglades) increased with higher 54 P concentrations, as per species-energy theory. In the Okavango, we classified 6 C and 49 R 55 indicator taxa (e.g. many planktonic Chlorophyta), and, in the Everglades, 15 C, 1 S, and 9 R 56 taxa (e.g. benthic Bacillariophyta and planktonic/benthic Chlorophyta), and 1 stress-and 57 disturbance-tolerant cyanobacterium species. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 facilitate each other, thus increasing biomass production efficiency (Cardinale et al., 2009).
77As the loss of biodiversity threatens ecosystem functioning (Ptacnik et al., 2008; Cardinale et 78 al., 2011), fundamental research is needed to identify factors that increase and/or maintain the their food webs is a key task for freshwater ecologists (de Tezanos Pinto et al., 2015).
86In flood-pulsed wetlands, the alternation of wet and dry seasons determines nutrient 87 release upon rewetting, and generates a dynamic mosaic of aquatic and terrestrial 88 environments with high habitat heterogeneity (Junk, Bayley & Sparks, 1989). Hydrology, 89 nutrients, and habitat type in turn influence the richness of algae, effective ecological ...