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opencc-by-4.0Jul 2022View details →

Fig. 1. Hydroperiod, i.e in Tadpole assemblage in temporary ponds in southern Piauí, Brazil

Fig. 1. Hydroperiod, i.e. retraction of the body of water in the study sites.

opencc-by-4.0Aug 2024View details →

Molybdate application in the early stages of shrimp growth suppresses sulphide formation in a shrimp pond bottom model

Oxygen depletion and sulphide formation, resulting from the accumulation of organic waste, are common challenges in shrimp ponds that could result in complete harvest failure. The stage at which these circumstances occur during the shrimp growth period remains elusive, yet, knowledge of the timing of oxygen depletion and sulphide formation is essential to enable remediating actions. Here, we used an experimental shrimp pond model at different stages in the shrimp growth period to determine when oxygen depletion and sulphide production occur. Microscale depth measurements of oxygen and H2S were determined using microelectrodes to visualize their profiles at different depths of the water-sediment interface and the sediment. We evaluated the potential of different molybdate concentrations at different stages to determine the optimal conditions to suppress H2S formation. Oxygen depletion and sulphide production took place in the middle of the shrimp growth cycle. The addition of molybdate was only effective in the early stages of the onset of oxygen depletion and H2S formation, and residual molybdate was required to ensure a continues suppression of sulphate reduction to H2S. However, oxygen depletion could not be prevented and reintroduction of oxygen did not occur when molybdate was added. In conclusion, molybdate appeared to be an effective strategy to suppress H2S formation at the onset of its production in shrimp pond bottom model.

Table 4 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia

Table 4: Growth and production of IMC poly-culture & GIFT mono-sex tilapia in T1 & T2 (2018-19)<table><tbody><tr><th>Parameters</th><th>Growth-production data T1 T2</th></tr></tbody><tbody><tr><th>Initial avg. weight (g)</th><td>19</td><td>8</td></tr><tr><th>Final avg. weight (g)</th><td>816</td><td>1333</td></tr><tr><th>Survival rate (%)</th><td>91</td><td>93.75</td></tr><tr><th>Production (kg/pond/9 months)</th><td>3383</td><td>8000</td></tr><tr><th>Total production (kg/ha/9 months)</th><td>8457.5</td><td>20000</td></tr></tbody></table>

Table 2 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia

Table 2: Fish stocking & production data-IMC poly-culture & GIFT Tilapia mono-sex culture in T1 & T2 (2018-19)<table><tbody><tr><th>Tank Pond Area Stocking Date of No. (ha) (no) Stocking</th><th>Types of fish Stocking</th><th>Growth estimate during stocking (August-2018)</th><th>Growth estimate during final Total FCR harvest (May-June-2020) production (kg)</th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td>Length in (cm) Weight (g) Length in (cm)</td><td>Weight (g)</td><td>Weight in (kg)</td><td></td></tr><tr><th>T1</th><td></td><td>4000</td><td></td><td>Catla</td><td>9-12 18-23</td><td>28.3-39.6</td><td>980-1070</td><td>1682</td><td>1.7</td></tr><tr><td>0.4</td><td>05.09.2020 Rohu</td><td>10-12 18-24</td><td>28.0-41.3</td><td>700-750</td><td>880</td></tr><tr><td></td><td></td><td>Mrigala</td><td>8-11 15-19</td><td>29.4-37.6</td><td>680-720</td><td>821</td></tr><tr><th>T2</th><td>0.4</td><td>6400</td><td>GIFT tilapia 15.09.2020 (O. niloticus)</td><td>6-7 8-9</td><td>28.3-32.1</td><td>1333</td><td>8000</td><td>1.2</td></tr></tbody></table>

Table 3 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia

Table 3: Comparision of operational cost, production and economic profit of IMC polyculture & GIFT mono-sex tilapia culture during 2018-19 at Jodamu village of district Ciuttack, Odisha<table><tbody><tr><th>Parameters</th><th>T1-IMC culture (area-.4 ha)</th><th>T2-GIFT Tilapia culture (area-.4 ha)</th></tr></tbody><tbody><tr><th>Operational Cost</th><td>Expenditure Expenditure (Rs/0.4ha/yr) (Rs/ha/yr)</td><td>Expenditure (Rs/0.4ha/yr)</td><td>Expenditure (Rs/ha/yr)</td></tr><tr><th>I. Expenditure</th><td></td><td></td><td></td><td></td></tr><tr><th>Watering/de-watering charges</th><td>3,000</td><td>7,500</td><td>3,000</td><td>7,500</td></tr><tr><th>Bleaching Powder 50kg@Rs30/kg</th><td>1,500</td><td>3,750</td><td>1,500</td><td>3,750</td></tr><tr><th>Organic Manure 1000kg@Rs 0.5/kg</th><td>500</td><td>1,250</td><td>500</td><td>1,250</td></tr><tr><th>DAP fertilizer 20kg@ 20/kg</th><td>400</td><td>1,000</td><td>400</td><td>1,000</td></tr><tr><th>Lime-800kg (IMC), 1000kg (GIFT tilapia) @ Rs 10/kg</th><td>8,000</td><td>20,000</td><td>10,000</td><td>25,000</td></tr><tr><th>GNOC-25kg (IMC), 42kg (GIFT tilapia) @ Rs 22/kg</th><td>550</td><td>1325</td><td>924</td><td>2310</td></tr><tr><th>Soyabin 21kg @Rs 30/kg</th><td>630</td><td>1,575</td><td>630</td><td>1,575</td></tr><tr><th>Curd 120 kg @ 40/kg</th><td>4800</td><td>12000</td><td>4800</td><td>12000</td></tr><tr><th>Yeast 5kg @ Rs 200/kg</th><td>1000</td><td>2500</td><td>1000</td><td>2500</td></tr><tr><th>Ricebran 80kg @ Rs 15.5/kg</th><td>1,240</td><td>3,100</td><td>1,240</td><td>3,100</td></tr><tr><th>Joggery-100kg (IMC), 208kg (GIFT tilapia) @ Rs 23/kg</th><td>2,300</td><td>5,750</td><td>4,784</td><td>11,960</td></tr><tr><th>IMC seed4000pc @ Rs 5/pc and GIFT seed cost 6400pc @ Rs 2/pc</th><td>20,000</td><td>50,000</td><td>12,800</td><td>32,000</td></tr><tr><th>IMC-F. Feed 5500kg @ Rs 40/kg and GIFT tilapia F. Feed 9800kg @ Rs 40/kg</th><td>2,20,000</td><td>5.50,000</td><td>3,92,000</td><td>9,80,000</td></tr><tr><th>Transport @ Rs10000/time</th><td>20,000</td><td>50,000</td><td>30,000</td><td>75,000</td></tr><tr><th>Man power for pond preparation, bio-security installation, Management, Feeding, 10,000 netting, watch and ward, marketing etc. @ 200/man day (IMC & GIFT)</th><td>25,000</td><td>30,000</td><td>75,000</td></tr><tr><th>Miscellaneous expenditure (medicine, aeration, transaction and coordination)</th><td>5,000</td><td>12,500</td><td>10,000</td><td>25,000</td></tr><tr><th>Total expenditure</th><td>2,98,920</td><td>7,47,300</td><td>5,03,578</td><td>15,22,070</td></tr><tr><th>IMC poly-culture & GIFT mono-sex tilapia Production and economic profit (2018-19)</th></tr><tr><th>II. Gross Income from GIFT tilapia</th><td>0.4 ha/yr</td><td>ha/yr</td><td>0.4 ha/yr</td><td>ha/yr</td></tr><tr><th>Total production (kg/yr)</th><td>3383</td><td>8457.5</td><td>8000</td><td>20000</td></tr><tr><th>IMC & GIFT Cost of fish @ Rs 160 & 140/kg (Rs)</th><td>5,41,280</td><td>13,53,300</td><td>11,20,000</td><td>28,00,000</td></tr><tr><th>Net income from fish (Gross income-expenditure) (Rs)</th><td>2,42,360</td><td>6,05,900</td><td>6,31,172</td><td>15,77,930</td></tr><tr><th>Return on expenditure (%)</th><td>81.07</td><td>0.81</td><td>125.33</td><td>103.67</td></tr><tr><th>Cost benefit ratio (C:B)</th><td>0.810</td><td>0.81</td><td>1.25</td><td>1.25</td></tr></tbody></table>

Table 1 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia

Table 1: Ranges and mean values (± SD) of water parameters in T1 &T2<table><tbody><tr><th>Parameters</th><th>T1-IMC poly-culture</th><th>T2-GIFT tilapia mono-sex</th></tr></tbody><tbody><tr><th></th><td>Min</td><td>Max</td><td>Mean ± SD</td><td>Min</td><td>Max</td><td>Mean ± SD</td></tr><tr><th>Temp (°C)</th><td>21.1</td><td>33</td><td>26.3±4.56</td><td>21.2</td><td>34.1</td><td>27.7±6.5</td></tr><tr><th>Transparency (cm)</th><td>24.33</td><td>35.67</td><td>27.71± 0.86</td><td>25.00</td><td>36.00</td><td>29.29± 0.81</td></tr><tr><th>DO (ppm)</th><td>4.3</td><td>7.5</td><td>6.07±1.35</td><td>4.5-</td><td>6.0</td><td>5.3±0.51</td></tr><tr><th>pH</th><td>7.0</td><td>8.4</td><td>7.5±0.55</td><td>6.0</td><td>8.0</td><td>7.5±0.35</td></tr><tr><th>Alkalinity mg/l</th><td>86.7</td><td>114.7</td><td>100.4±12.8</td><td>80.1</td><td>114.0</td><td>98.3±14.2</td></tr><tr><th>Ammonia mg/l</th><td>0.51</td><td>0.61</td><td>0.55±0.05</td><td>0.55</td><td>0.64</td><td>0.58±0.04</td></tr></tbody></table>

opencc-by-4.0Jun 2021View details →

PASS Survey - Hett Village Pond, Durham

PASS underwater acoustic survey from the rural village of Hett, County Durham.

opencc-zeroSep 2021View details →

Data for the detection of the boreal chorus frog (Pseudacris maculata) using environmental DNA and call surveys at 180 ponds sampled in 2017-2018 in southeastern Québec, Canada

The boreal chorus frog (Pseudacris maculata) is at risk of extinction in parts of its range in Canada. Our objectives were to quantify the influence of local and landscape characteristics on the occurrence of the species in wetlands in southern Québec. We hypothesized that site occupancy depends on local characteristics and landscape characteristics contributing to site connectivity. We developed an environmental DNA (eDNA) method to detect the species and compared the detection probability of this method to traditional call surveys. We collected water samples at a total of 180 sites (90 in 2017, 110 in 2018), whereas we surveyed a subset of 63 sites using both eDNA and call surveys in 2018. Site occupancy varied across years, but was higher in sites where the species had been previously detected during the last 12 years by other studies. Site occupancy did not vary with other local and landscape characteristics, in part due to an apparent decrease in the number of sites occupied by the species since the last 12 years. Detection probability via eDNA (0.81; 95% CI: [0.31; 0.98]) did not differ from that of call surveys (0.62; 95% CI: [0.25; 0.89]). To identify the optimal sampling period for the boreal chorus frog, future studies should estimate the detection probability of eDNA during the breeding season and the larval development period of the species.

opencc-zeroJan 2023View details →

Nonnative fish facilitate nonnative snails and alter food web structure in experimental pond communities

1. Contemporary ecosystems commonly support multiple nonnative species, which can alter community structure and interact with one another directly and indirectly. Novel interactions between invasive species can result in the facilitation or suppression of one or both invaders, making it important to understand the underlying mechanisms that affect invasion outcomes. 2. Goldfish (Carassius auratus) and Chinese mystery snails (Cipangopaludina chinensis) are freshwater species that have been introduced widely through the aquarium trade and co-occur in their nonnative ranges. We used an outdoor mesocosm experiment to assess separate and combined effects of goldfish and mystery snails on pond community structure and to investigate whether goldfish and mystery snails affected one another positively, neutrally, or negatively. We predicted that the distinct trophic levels of each species and the anti-predator traits of mystery snails would lead to positive interactions between invaders and synergistic effects on the aquatic community. 3. Goldfish directly increased turbidity and decreased floating filamentous algae, zooplankton, juvenile native snails, and survival of amphibians via consumptive effects. Goldfish indirectly increased attached periphyton, phytoplankton, and body size of surviving native green frogs (Lithobates clamitans) through trophic cascades and/or release from competition. Mystery snails had more subtle effects, including reducing growth rates of native gray tree frogs (Hyla versicolor), likely through competitive interactions. 4. With goldfish present, mystery snails showed increased reproductive success (higher total biomass of juveniles), likely due to indirect competitive release from other herbivores. In contrast to their effects on native snails, goldfish did not consume juvenile mystery snails, likely due to their unique traits (e.g., large size and shell thickness). Mystery snails slightly reduced goldfish growth but did not affect their survival. 5. These results suggest unidirectional facilitation between invaders via indirect changes in the food web. Overall, our study found strong direct and indirect effects of invasive aquarium species, particularly goldfish, and provides experimental support for the invasional meltdown hypothesis within urban waterbodies, which are especially prone to invasions.

opencc-zeroApr 2023View details →

Data for: Integrated multi-trophic aquaculture with sugar kelp and oysters in a shallow coastal salt pond and open estuary site

The data set includes environmental data as well as kelp and oyster data from an integrated multi-trophic aquaculture study where sugar kelp was planted on four established oyster farms in Rhode Island, USA over 2 growing seasons (Year 1 = 2017-2018; Year 2 = 2018-2019). At each site, we planted to 60 m kelp lines (denoted as Line 1 and Line 2) approximately three weeks apart to determine optimal planting time. Kelp blade length and width was recorded at periodic intervals, and tissues were collected for carbon, nitrogen, δ15N, and δ13C analyses. Oyster growth data was collected from the same sites across the same timespans. Environmental data includes data collected on monthly farm visits with a YSI Sonde, as well as dissolved nutrients in the seawater. In addition, temperatures were logged on kelp lines every 15 minutes during each growing season.

opencc-zeroJun 2023View details →

Multi‐species occupancy modeling reveals methodological and environmental effects on eDNA detection of amphibians in temporary ponds

Aquatic environmental DNA is increasingly used for biodiversity monitoring, such as surveying threatened and invasive species. Mainstreaming these methods in practical applications, however, still requires significant standardisation and optimisation, namely regarding DNA capture methods. Here we evaluated how filter type (standard disc filters vs high-capacity capsules), number of sampling sites, volume of water filtered and environmental factors affected amphibian detection in Mediterranean temporary ponds. The study involved water filtering until clogging at one (capsules) and five (discs) sites from 16 small and shallow ponds, where three urodele and seven anuran species were recorded through sweep-netting and adult observations. Detection probabilities were estimated from site occupancy models based on replicate sampling and from an adaptation of time-to-detection models relating detection probability to volume of water filtered. Discs filtered relatively small volumes (15–1250 mL), with detection probabilities of the two abundant species (Pelobates cultripes, Hyla meridionalis) increasing rapidly with sample size and water volume, reaching almost perfect detection (0.95) at four and seven discs, and 420 mL and 1860 mL, respectively. However, reaching high detection probabilities for rare species (Pelodytes atlanticus, Pleurodeles waltl, Triturus pygmaeus) would require larger sampling effort than that used in our study. Despite filtering much larger volumes (600–5300 mL), filtering with capsules at a single site per pond provided lower detection probabilities for abundant species than filtering with discs at five sites. Rarer species showed no difference between methods, which may be due to small sample sizes and reduced statistical power for species with few detection. The effect of conductivity on species detectability was largely negative, while the influence of water clarity varied across species, and pH had no effects. Overall, our results suggest that eDNA amphibian surveys in Mediterranean temporary ponds need to consider filter clogging, heterogeneous DNA distribution, and highly conductive waters.

opencc-zeroJul 2023View details →

Data from: Carbon burial in Cornell's experimental ponds

Ponds are globally abundant and important to the global carbon cycle. While ponds have large greenhouse gas emissions, they may also sequester large amounts of carbon in their sediments. Here, we studied carbon burial rates in 22 experimental ponds without watersheds, where carbon sequestration comes solely from autochthonous primary production. The ponds were built identically in 1964 at Cornell University, and have since experienced different management strategies. This dataset includes two files: (1) spreadsheets related to carbon burial calculations (e.g., measuring sediment thickness, estimates of loss-on-ignition, and carbon burial rates), and (2) spreadsheets of historical management practices for our study ponds. These datasets accompany a manuscript accepted at Limnology and Oceanography Letters.

openother-openJun 2023View details →

Hourly methane and carbon dioxide fluxes from temperate ponds

This dataset consists of methane and carbon dioxide flux measurements from three forest and three open-land ponds in Denmark. Furthermore, oxygen, water temperature and weather data are also available. The data is part of the scientifical paper published in Springer Biogeochemistry  Hourly methane and carbon dioxide fluxes from temperate ponds