Diffusive methane emissions from temperate semi-intensive carp ponds

Rutegwa, Marcellin; Gebauer, Radek; Veselý, Lukáš; Regenda, Ján; Strunecký, Otakar; Hejzlar, Josef; Drozd, Bořek

doi:10.3354/aei00296

Cited by 19 publications

(13 citation statements)

References 73 publications

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“…A part of these inputs and GPP were respired while another part was retained in the sediment or metabolised anaerobically by methanogenesis and released into the atmosphere as carbon dioxide (CO 2 ) or methane (CH 4 ) (Oliveira Junior et al, 2019). Based on the findings of Rutegwa et al (2019), Dehtář pond may have released 2 tons of diffusive CH 4 -C corresponding to 0.2% of total OC inputs to the pond over six months of this study in 2015. Total CH 4 emission can be even higher if bubble flux of CH 4 -C is accounted for.…”

Section: Organic Carbon and Nutrient Balancementioning

confidence: 87%

Carbon metabolism and nutrient balance in a hypereutrophic semi-intensive fishpond

Rutegwa

Potužák

Hejzlar

et al. 2019

Knowl. Manag. Aquat. Ecosyst.

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Eutrophication and nutrient pollution is a serious problem in many fish aquaculture ponds, whose causes are often not well documented. The efficiency of using inputs for fish production in a hypereutrophic fishpond (Dehtář), was evaluated using organic carbon (OC), nitrogen (N) and phosphorus (P) balances and measurement of ecosystem metabolism rates in 2015. Primary production and feeds were the main inputs of OC and contributed 82% and 13% to the total OC input, respectively. Feeds and manure were the major inputs of nutrients and contributed 73% and 86% of the total inputs of N and P, respectively. Ecosystem respiration, accumulation in water and accumulation in sediment were the main fates of OC, N and P, respectively. They accounted for 79%, 52% and 61% of OC, N and P inputs. The efficiency of using OC, N and P inputs to produce fish biomass was very low and represented 0.9%, 25% and 23% of total OC, N, and P inputs, indicating an excessive phytoplankton production and overdosing of fish feeds and manure. Dehtář pond was slightly autotrophic and phosphorus availability did not limit the phytoplankton growth. The low efficiency of using inputs was attributed to the low digestibility of raw cereals grain used as feed and the inability of planktonic food webs to transfer the primary production to fish due to high predatory pressure of fish stock on zooplankton. The primary production is an important input of OC in semi-intensive fishponds and should be considered in evaluations of fish production efficiency.

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Section: Organic Carbon and Nutrient Balancementioning

confidence: 87%

Carbon metabolism and nutrient balance in a hypereutrophic semi-intensive fishpond

Rutegwa

Potužák

Hejzlar

et al. 2019

Knowl. Manag. Aquat. Ecosyst.

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“…However, from the perspective of emission rates, areal CH 4 emission rates from aquaculture ponds are 6.68 ± 2.00 mg CH 4 m –2 h –1 across China, larger than those from reservoirs (0.57 mg CH 4 m –2 h –1 ) and lakes (1.36 mg CH 4 m –2 h –1 ) in China . Compared with other countries, areal CH 4 emission rates from aquaculture ponds in China are larger than those in India (6.05 mg CH 4 m –2 h –1 ) and the Czech Republic (0.38 mg CH 4 m –2 h –1 ). , This may suggest that China’s aquaculture ponds are hotspots of CH 4 emissions, which should not be ignored in the regional CH 4 budget.…”

Section: Discussionmentioning

confidence: 93%

“…18 Compared with other countries, areal CH 4 emission rates from aquaculture ponds in China are larger than those in India (6.05 mg CH 4 m −2 h −1 ) and the Czech Republic (0.38 mg CH 4 m −2 h −1 ). 6,20 This may suggest that China's aquaculture ponds are hotspots of CH 4 emissions, which should not be ignored in the regional CH 4 budget.…”

Section: Aquaculture Ponds As Ch 4 Emissionmentioning

confidence: 99%

“…Despite accounting for only 8.6% of the total area of global lakes and ponds, ponds smaller than 0.001 km 2 are found to contribute 41% of diffusive CH 4 emissions from global lakes and ponds . Among global small ponds, aquaculture ponds are hotspots of CH 4 emissions due to substantial carbon input by regular addition of feed or manure. , For example, higher CH 4 emission rates were observed in aquaculture ponds than natural wetlands and in aquaculture ponds with feed supply than those without feed supply. , To date, there have been some efforts to investigate the large-scale CH 4 emissions from aquaculture ponds by extrapolating short-term field measurements, large uncertainties, however, still exist due to limited data availability and inadequate understanding of CH 4 emissions under different human management regimes. , Due to the limitation, CH 4 emissions from aquaculture ponds are not well assessed and represented in current global methane budget, urging more investigation on aquaculture emissions.…”

Section: Introductionmentioning

confidence: 99%

“…4 Among global small ponds, aquaculture ponds are hotspots of CH 4 emissions due to substantial carbon input by regular addition of feed or manure. 5,6 For example, higher CH 4 emission rates were observed in aquaculture ponds than natural wetlands and in aquaculture ponds with feed supply than those without feed supply. 7,8 To date, there have been some efforts to investigate the large-scale CH 4 emissions from aquaculture ponds by extrapolating short-term field measurements, large uncertainties, however, still exist due to limited data availability and inadequate understanding of CH 4 emissions under different human management regimes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantifying Methane Emissions from Aquaculture Ponds in China

Dong

Cui

et al. 2022

Environ. Sci. Technol.

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Small ponds are important methane (CH 4 ) sources. However, current estimates of CH 4 emissions from aquaculture ponds are largely uncertain due to data paucity, especially in China�the largest aquaculture producer in the world. Here, we present a nationwide metadata analysis with a database of 55 field observations to examine total CH 4 emissions from aquaculture ponds in China. We found that the annual CH 4 fluxes from aquaculture ponds are much larger than those from reservoirs and lakes. The total CH 4 emission from aquaculture ponds is 1.60 ± 0.62 Tg CH 4 yr −1 , with an average growth rate of ∼0.03 Tg CH 4 yr −2 during the period 2008−2019. Compared with global major protein-producing livestocks, aquaculture species have a lower (63%) emission intensity, defined by the amount of CH 4 emitted per unit of animal proteins. Our study highlights the essential contribution of China's aquaculture ponds to national CH 4 emissions and the lower environmental cost of the aquaculture sector for future animal protein production. More field measurements with multi-scale observations are urgently needed to reduce the uncertainty of CH 4 emissions from aquaculture ponds.

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Top-down and bottom-up control of plankton structure and dynamics in hypertrophic fishponds

et al. 2023

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We investigated the effects of strong top-down control by high fish stock on structure and seasonal dynamics of plankton in nine fishponds under conventional fishery management based on auxiliary feeding during two vegetation seasons. Mean concentrations of total nitrogen, phosphorus, and high densities of phytoplankton, bacteria, heterotrophic nanoflagellates, and ciliates indicated hypertrophic state of the fishponds, as well as a markedly reduced control of these microbial food web components by crustacean zooplankton. Mean seasonal densities of zooplankton varied within one order of magnitude for cladocerans, copepods, nauplii, and rotifers. Daphnia were found in most fishponds in densities up to 630 ind. l−1 (median: 53 ind. l−1). While TN and TP concentrations were high, dissolved inorganic N (median: 29 µg l−1) and reactive P (median: 11 µg l−1) indicated possible nutrient deficiency. The fish stock index (defined as the product of biomass and square root of densities) was used as a proxy for fish predation pressure. Multivariate analysis revealed that nutrients and high fish stocks (market carp, carp fry, and/or undesirable small planktivorous fishes) were the main driving forces shaping the fishpond plankton. The resulting trophic structure thus severely reduced the herbivorous zooplankton–fish link during a vegetation season.

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Diffusive methane emissions from temperate semi-intensive carp ponds

Cited by 19 publications

References 73 publications

Carbon metabolism and nutrient balance in a hypereutrophic semi-intensive fishpond

Carbon metabolism and nutrient balance in a hypereutrophic semi-intensive fishpond

Quantifying Methane Emissions from Aquaculture Ponds in China

Top-down and bottom-up control of plankton structure and dynamics in hypertrophic fishponds

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