https://commons.ufh.ac.za/vital/access/manager/Index ${session.getAttribute("locale")} 5 https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5127 30kg.m-2), as well as according to measures of waist circumference (WC) and body composition. Hypertension, hypercholesterolemia and type II diabetes, were grouped as cardiovascular (CV) risks. Hypertension was defined as a blood pressure greater than 140/90mmHg (JNC-7); hypercholesterolemia, as total cholesterol greater than 6.2mmol.L-1 (NCEP); and type II diabetes, as total glucose greater than 12mmol.L-1 (WHO). Physical activity, diet, tobacco use, and alcohol consumption and dependence were grouped as lifestyle-related risks. These were assessed by means of self-reporting through the use of various validated questionnaires. Finally, self-reporting of obesity, hypertension, hypercholesterolemia and type II diabetes was assessed, in addition to perception questions on individuals’ perceived body shape and size (Ziebland figures). Self-reported and perceived responses were then compared to actual measures. Females were significantly (p<0.001) heavier than the males (92.7kg compared to 72.1kg) and had significantly (p<0.001) higher BMIs than their male counterparts (37.6kg.m-2 compared to 25.7 kg.-2). They also recorded significantly (p<0.001) higher waist circumference (WC) values and had significantly (p<0.001) higher percentage and total body fat. Significantly (p<0.001) more females were obese (81%) compared to males (17%). While a higher percentage of males (25 % compared to 22%) presented with stage I hypertension (≥140/90mmHg, <160/95mmHg), significantly (p<0.05) more females (14% compared to 8%) presented with stage II hypertension (>160/95mmHg). The prevalence of hypercholesterolemia at a high level of risk (>6.2mmol.L-1) was relatively low (2.1 % of males, 3.4% of females), but notably more participants (22% of males and 26% of females) presented with the condition at a moderate level of risk (>5mmol.L-1). Type II diabetes was the least prevalent CV risk factor, with no males and only 3% of females presenting with the condition. Males consumed significantly (p<0.05) more in terms of total energy intake (9024 vs. 7234 kJ) and were significantly (p<0.05) more active (3315 compared to 2660 MET-mins.week). A significantly (p<0.05) higher percentage of males smoked (51.1% compared to 3.4%), consumed alcohol (73.4% compared to 46.6%) and were alcohol dependent (40% compared to 33.5%). Both males and females tended to be ignorant of their health status, with both samples under-reporting obesity, hypertension and hypercholesterolemia, while over-reporting type II diabetes. Furthermore, obesity was significantly (p<0.05) underestimated, with both male and female individuals perceiving themselves to be notably smaller than they actually were. Physical activity and diet were important determinants of CVD risk in this black urban sample of individuals. Obesity, in particular central adiposity, was the most notable risk (particularly in females), followed by hypertension (particularly in males). Although some risks presented at a moderate level of risk, a clustering of risk factors was evident in both samples, with 12.6% and 41.2% of males and females presenting with two risk factors, and 2.8% and 8.1% of males and females respectively presenting with three risks.]]> Wed 12 Oct 2022 12:08:41 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5697 Wed 12 May 2021 23:43:36 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4102 Wed 12 May 2021 23:39:27 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10602 Wed 12 May 2021 23:21:09 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10378 Wed 12 May 2021 23:18:01 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:18488 Wed 12 May 2021 23:09:37 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:1153 Wed 12 May 2021 23:09:34 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4633 Wed 12 May 2021 23:04:36 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:3985 Wed 12 May 2021 22:57:14 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10409 Wed 12 May 2021 22:57:06 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5786 Wed 12 May 2021 22:53:05 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5367 Wed 12 May 2021 22:46:16 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4858 Wed 12 May 2021 22:24:37 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4122 Wed 12 May 2021 20:31:39 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5948 Wed 12 May 2021 20:30:10 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10491 Wed 12 May 2021 20:22:14 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5106 Wed 12 May 2021 20:20:48 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5117 Wed 12 May 2021 20:12:33 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10681 99 percent of the data were collected at daily resolution. A resulting recommendation is that future data collection employ handheld data recording devices (with GPS capability), in order to increase the spatial accuracy of data, minimise human error and improve the efficiency of data flow. Species life cycle envelopes (SLICES) were developed to capture spatial differences in areas occupied during three life-cycle phases (reproductive, juvenile and feeding). Two distribution modelling techniques were used: Maxent, which uses quantitative data, and CHARMS (cartographic habitat association range models), which uses qualitative range data. A combination of statistical and biological criteria was used to determine the most informative and appropriate model for each species. Species distribution models (SDMs) were constructed for three temporal partitions of the data: annual, summer and winter. Patterns of species richness developed from the seasonal models showed seasonal differences in patterns that conformed to known seasonal distributions of fish assemblages: richness was higher in southern KZN during winter, while it was higher in northern KZN during summer. The resulting SDMs were used to develop a conservation plan for fish: conservation targets were set using the minimum recommended baseline of 20 percent of a species’ range, to which biological retention targets (additional proportion of the range) were added, in an attempt to ensure species persistence. The conservation targets were then adjusted using catch per unit effort (CPUE) data to match seasonal abundance of a given species. Within the existing network of marine protected areas (MPAs), none of the species’ targets are met by MPA sanctuary zones (zone As) alone, and all species require greater areas of protection. Three areas, namely offshore of the Tugela River mouth, the reefs offshore of Durban, and Aliwal Shoal, were consistently identified as being important in addition to existing MPAs for conservation of the fish species investigated. The greater efficiency of a seasonal MPA network to protect seasonally varying distributions of biodiversity, suggests that this may be a useful tool to consider in conservation management. The outcome of a conservation plan from this study (FishPLAN) was finally compared with the broader, more inclusive conservation plan, SeaPLAN. This comparison demonstrated how conservation plans based on a single group of species run the risk of identifying areas that are appropriate only for the relevant species, and might fail to conserve biodiversity as a whole.]]> Wed 12 May 2021 19:50:46 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:18490 Wed 12 May 2021 19:33:05 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:9723 Wed 12 May 2021 19:31:58 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10747 Wed 12 May 2021 19:13:55 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10516 Wed 12 May 2021 19:03:14 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4087 Wed 12 May 2021 18:57:24 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4356 Wed 12 May 2021 18:50:36 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10460 Wed 12 May 2021 18:40:35 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:9724 Wed 12 May 2021 18:39:59 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4393 Wed 12 May 2021 18:30:26 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4107 Wed 12 May 2021 18:29:53 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4323 Wed 12 May 2021 18:24:41 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4671 Wed 12 May 2021 18:22:05 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4753 Wed 12 May 2021 18:18:36 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4121 Wed 12 May 2021 18:17:29 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4781 Wed 12 May 2021 18:12:00 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10576 Wed 12 May 2021 17:49:26 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10025 Wed 12 May 2021 17:46:05 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4406 0.9990) was attained for most analytes. The limits of detection and quantification ranged from 0.03 - 0.84 μg/ml and 0.81 - 1.89 μg/ml respectively for analytes in biological samples. LODs and LOQs for analytes in food and environmental samples ranged from 0.02 to 0.39 and 0.25 to 1.30 ng/g respectively.]]> Wed 12 May 2021 17:31:55 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4331 Wed 12 May 2021 17:29:37 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5890 Wed 12 May 2021 17:16:57 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:6040 Wed 12 May 2021 17:09:50 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10683 Wed 12 May 2021 17:08:09 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:8631 Wed 12 May 2021 16:49:23 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4451 Wed 12 May 2021 16:46:13 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:3856 Wed 12 May 2021 16:43:12 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:6027 Wed 12 May 2021 16:40:44 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:18484 Wed 12 May 2021 16:36:54 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10461 Wed 12 May 2021 16:36:29 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4404 Wed 12 May 2021 16:23:00 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:9701 Wed 12 May 2021 16:21:43 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:3966 Wed 12 May 2021 16:12:04 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4304 Wed 12 May 2021 16:08:21 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:3940 90% of the algae population. Under batch operation the population dynamic shifted; Chlorella outcompeted Micractinium possibly due to nutrient depletion and selective grazing pressures caused by proliferation of Daphnia. Higher species diversity was observed during batch mode as slower growing algae were able to establish in the HRAP. Nutrient removal efficiency and biomass productivity was higher in continuous mode, however lower nutrient levels were obtained in batch operation. HMTBA did not significantly affect growth rate, however treatment with 10 mg.L-1 resulted in slightly increased growth rate in Micractinium and increased final biomass concentrations in Chlorella, Micractinium and Spirulina (although this was not statistically significant for Micractinium and Spirulina), which are known mixotrophic species. Algae treated with Cu-HMTBA, showed reduced final biomass concentration with 10 mg.L-1, caused by Cu toxicity. Biochemical composition of the algae was species-specific and differed through the growth cycle, with high protein observed during early growth and high carbohydrate during late growth/early stationary phase. Additionally, 0.1 mg.L-1 HMTBA and Cu-HMTBA significantly reduced protein content in Chlorella, Micractinium, Scenedesmus and Pediastrum. In conclusion, operation of the HRAP in continuous culture provided suitable wastewater treatment with high productivity of an ideal species, Micractinium, for use in animal feed supplementation. This species had 40% protein content during growth (higher than the other species tested) and dominated the HRAP at > 90% of the algae population during continuous mode. Addition of HMTBA (> 1 mg.L-1) to algae cultivation systems and those treating wastewater, has the potential to improve productivity and the value of the biomass by enhancing protein content. Overall, the co-utilisation of microalgae for wastewater treatment and the generation of a biomass rich in protein, for incorporation into formulated animal feed supplements, represents a closed ecosystem which conserves nutrients and regenerates a most valuable resource, water.]]> Wed 12 May 2021 15:55:36 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:1146 Wed 12 May 2021 15:51:37 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10382 Wed 12 May 2021 15:49:54 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:21223 Thu 13 May 2021 13:55:44 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10132 Thu 13 May 2021 11:00:21 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4136 Thu 13 May 2021 10:28:15 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10314 Thu 13 May 2021 08:46:41 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10680 Thu 13 May 2021 08:17:23 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5430 Thu 13 May 2021 08:16:41 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5472 Thu 13 May 2021 08:08:05 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10515 Thu 13 May 2021 08:05:29 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10636 20 μg l-1) was found. Different groups of microalgae formed phytoplankton blooms for the different sampling sessions, which were correlated with high chlorophyll a. These included blooms of green algae (August 2006), flagellates (March 2007), dinoflagellates (June 2008) and diatom species (February and August 2008). The dominant diatom (Cyclotella atomus) indicated nutrient-rich conditions. Green algae and diatoms were associated with low salinity water in the upper reaches of the estuary. Flagellates were dominant throughout the estuary particularly when nutrients were low, whereas the dinoflagellate bloom in June 2008 was correlated with high ammonium and pH. Maximum benthic chlorophyll a was found at 12.5 km from the mouth in February, June and August 2008 and was correlated with high sediment organic and moisture content. Benthic diatoms were associated with high temperature whereas some species in June 2008 were associated with high ammonium concentrations. The middle reaches of the estuary characterise a zone of deposition rather than suspension which would favour benthic diatom colonization. Phytoplankton cells settling out on the sediments may account for the high benthic chlorophyll a because maximum water column chlorophyll a was also found in the REI zone (where salinity is less than 10 percent and where high biological activity occurs) in the Sundays Estuary.]]> Thu 13 May 2021 07:34:22 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5910 Thu 13 May 2021 07:15:12 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5402 Thu 13 May 2021 06:57:29 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4981 Thu 13 May 2021 06:53:52 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5679 Thu 13 May 2021 06:52:07 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4770 Thu 13 May 2021 06:43:47 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:3989 Thu 13 May 2021 06:29:11 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4027 Thu 13 May 2021 05:56:27 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5955 Thu 13 May 2021 05:53:00 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4096 Thu 13 May 2021 05:48:14 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4191 Thu 13 May 2021 05:46:37 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10379 Thu 13 May 2021 05:32:06 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4940 Thu 13 May 2021 05:30:14 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5664 Thu 13 May 2021 05:14:17 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10684 Thu 13 May 2021 05:01:00 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4398 Thu 13 May 2021 04:46:16 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5567 Thu 13 May 2021 04:45:26 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:9685 Thu 13 May 2021 04:29:47 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:9722 Thu 13 May 2021 04:15:58 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4086 Thu 13 May 2021 04:14:35 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10457 Thu 13 May 2021 04:14:28 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4600 Thu 13 May 2021 03:48:32 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10503 Thu 13 May 2021 03:47:59 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4751 Thu 13 May 2021 03:45:30 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5420 Thu 13 May 2021 03:13:42 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:4399 Thu 13 May 2021 03:02:32 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10609 20 μg l-1) was found. Different groups of microalgae formed phytoplankton blooms for the different sampling sessions, which were correlated with high chlorophyll a. These included blooms of green algae (August 2006), flagellates (March 2007), dinoflagellates (June 2008) and diatom species (February and August 2008). The dominant diatom (Cyclotella atomus) indicated nutrient-rich conditions. Green algae and diatoms were associated with low salinity water in the upper reaches of the estuary. Flagellates were dominant throughout the estuary particularly when nutrients were low, whereas the dinoflagellate bloom in June 2008 was correlated with high ammonium and pH. Maximum benthic chlorophyll a was found at 12.5 km from the mouth in February, June and August 2008 and was correlated with high sediment organic and moisture content. Benthic diatoms were associated with high temperature whereas some species in June 2008 were associated with high ammonium concentrations. The middle reaches of the estuary characterise a zone of deposition rather than suspension which would favour benthic diatom colonization. Phytoplankton cells settling out on the sediments may account for the high benthic chlorophyll a because maximum water column chlorophyll a was also found in the REI zone (where salinity is less than 10 percent and where high biological activity occurs) in the Sundays Estuary. The estuary was sampled over five consecutive weeks from March to April 2009 to identify environmental factors that support different microalgal bloom species. Phytoplankton blooms, defined as chlorophyll a greater than 20 μg l-1, were found during Weeks 1, 4 and 5 from the middle to the upper reaches of the estuary. Diatom species (Cylindrotheca closterium, Cyclotella atomus and Cyclostephanus dubius) occurred in bloom concentrations during these weeks. These diatom species are cosmopolitan and indicate brackish nutrient-rich water. Flagellates were the dominant group in Weeks 2 to 4, but positive correlations with chlorophyll a were found during Weeks 1 and 2. During the first week of this study the conditions were warm and calm (measured as temperature and wind speed) and there was a well developed bloom (38 μg l-1). There was a strong cold front from 17 to 19 March, which mixed the water column resulting in the decrease of the chlorophyll a levels (<20 μg l-1) and the bloom collapsed during Weeks 2 and 3. However, in Weeks 4 and 5 conditions were again calm and warmer, which appeared to stimulate the phytoplankton bloom. Nanoplankton (2.7 - 20 μm) was dominant during each week sampled and contributed a considerable amount (55 - 79 percent) to the phytoplankton biomass. Once again subtidal benthic chlorophyll a and water column chlorophyll a were highest 12.5 km from the mouth. Deposition of phytoplankton cells from the water column was evident in the benthic samples. The study showed that the Sundays Estuary is eutrophic and characterised by microalgal blooms consisting of different phytoplankton groups.]]> Thu 13 May 2021 02:45:01 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:3840 Thu 13 May 2021 02:44:54 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10447 Thu 13 May 2021 02:28:27 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5715 0.05 in all cases). For the majority of physical-chemical variables, no significant seasonal patterns in values were detected (P>0.05 in all cases). Notable exceptions were water column stability and water temperatures which were highest during summer, and seston, turbidity and ammonium concentrations which attained the highest values in winter. The striking seasonal pattern observed in the water column stability, coupled with the upwelling event, coincided with a strong seasonal pattern in the total surface and integrated chlorophyll-a concentrations within the Bay. During summer, the total surface phytoplankton biomass ranged from 1.87–3.11 μg.L⁻¹ and the integrated biomass values between 44.6 and 89.1 mg chl-a m⁻². In winter, surface chl-a concentrations ranged from 0.49 to 0.55 μg.L⁻¹ and integrated biomass from 13.5 to 13.8 mg chl-a m⁻². During both seasons, the large microphytoplankton (>20 μm) fraction contributed the most (>80%) to the total phytoplankton biomass suggesting that phytoplankton growth is not nutrient limited within the Bay. The total mesozooplankton abundance and biomass values during summer varied between 10088.92 and 28283.21 ind.m⁻³ and between 76.59 and 161.94 mg.m⁻³, respectively. During winter, total abundance and biomass of mesozooplankton within the Bay were significantly lower, ranging from 2392.49 to 11145.29 ind.m⁻³, and from 34.49 to 42.49 mg.m⁻³, respectively (P<0.05). During both seasons, cosmopolitan copepod species 200–500μm in size dominated the total mesozooplankton counts, numerically and in biomass. Hierarchical cluster analyses identified distinct zooplankton groupings within the Bay during both the summer (three groupings) and winter (four groupings) surveys. The different groupings identified during the two seasons were not associated with any specific geographic region or hydrological feature. Nonetheless, a distinct seasonal pattern in the mesozooplankton community was evident, largely reflecting the increased abundance of mesozooplankton during the summer survey. Canonical Correspondence Analyses (CCA) indicated that the zooplankton community structure within Algoa Bay reflected a complex interaction between physical-chemical (e.g. temperature, water column stability, turbidity, and nitrate, dissolved oxygen and nitrite concentrations) and biological factors (e.g. microphytoplankton and picophytoplankton concentrations). These data provide baseline information towards long-term monitoring programs that will be conducted in Algoa Bay, as part of the South African Environmental Observation Network (SAEON), in the near future.]]> Thu 13 May 2021 01:52:42 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10415 Thu 13 May 2021 01:41:44 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10317 Thu 13 May 2021 01:01:52 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:3858 Thu 13 May 2021 00:56:49 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5749 Thu 13 May 2021 00:56:00 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:5675 Thu 13 May 2021 00:50:01 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:10651 Thu 13 May 2021 00:34:50 SAST ]]>