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Enhancing ecological-economic efficiency of intensive shrimp farm through in-out nutrient budget and feed conversion ratio


In aquaculture systems, insufficient nutrients impede shrimp growth while excessive amounts of nutrient inputs lead to environmental degradation and unnecessary high investment. A study of in-out nutrient budgets in an intensive Litopenaeus vannamei farm was conducted in this work to measure the amount of nitrogen (N) and phosphorus (P) input and output from the system. The feed conversion ratio (FCR) was obtained to determine the level of nutrient input performance. Between September and December 2017, monthly water and sediment samples were taken within one crop cycle. Nutrient concentrations in sediment and water increased over 90 days. The total nitrogen concentration in the pond water and effluents were in accordance with wastewater quality control for aquaculture; however, the total phosphorus concentration failed to meet the water quality control from the water input through the end of the crop cycle. The nutrient budget model showed that the input/output contained 107.8 kg N and 178.4 kg P. Most of the N input came from shrimp diets (80%) while most of the P came from fertilizer (57%). Both N (46%) and P (54%) mainly deposited in the sediment as an output process. The FCR of this farm is 2.0. Based on the 1.8 FCR scenario, this farm could reduce 147 kg of feed in total, which accounts for 9.04 kg N and 2.21 kg P reduction. The farmer could save $1027 USD crop− 1 ($1 USD = 32.7 baht), as well as reducing uneaten food at the bottom of the pond. This study offers a simple and straightforward model that can practically reduce environmental impacts and increase the profitability of farms.


Shrimp farming accounts for one of the fastest growing aquacultures in many countries. Of the global production of farmed shrimp, up to 80% originates from the Asia-Pacific region [1]. Whiteleg shrimp (Litopenaeus vannamei) have been farmed in this region, with a rapid expansion of shrimp aquaculture occurring mainly due to high profits and high demand for fresh and frozen seafood in domestic and international markets. In response to growing demand, intensive shrimp farms have been implemented to increase mass productivity. Intensive shrimp production has produced significant short-term profits for small-scale entrepreneurs; however, many shrimp farming practices have driven towards substantial financial and environmental risks and long-term sustainability [2]. Inadequate farming management and improper feeding strategies can lead to adverse impacts on aquatic ecosystems and the farmed shrimp’s health. Since natural food production is limited in intensive farming, farmers depend on commercial feeds [3]. Shrimp farmers are usually forced to feed their shrimp on a targeted growth response in a preset culture period [4]. This practice consequently results in over-feeding and causes water pollution. The high nutrient concentration of effluents from shrimp farms has raised environmental pollution concerns in many countries and has caused considerable financial losses to entrepreneurs.

The major ingredients of feeds for optimal shrimp growth are nitrogen (N) and phosphorus (P). Nitrogen is mixed in shrimp feeds in various protein levels whilst P is involved in energy producing cellular reactions. Despite the nutrition necessity, uneaten food, excrement and organic matter can be released as the sources of excess nutrients during water exchanges. Only 21–24% of N and 10–13% of P from the feed input were incorporated into shrimp bodies, while the remaining contents were retained in the sediments and then discharged to the nearby area [5, 6]. The direct impacts of overused feeds result in high feed conversion ratios (FCRs) – the simplest form of conversion feed used for animal meat. In many cases, FCRs have been applied as a proxy indicator to measure aquaculture production efficiency and to indicate economic and environmental performance [7, 8]. The result can provide a good indication of how efficient an existing feeding strategy is and how much the management can be improved.

To counter nutrient surpluses or deficits, an understanding of the nutrient inputs and outputs from the shrimp culture system is crucial. A nutrient budget model is the key to track which nutrients are in which part of the system and the environment under time and space constraints. This study is organized with three main objectives: 1) determine the nutrient balance in a small-scale intensive shrimp pond; 2) perform explicitly spatio-temporal aspects of nutrient concentrations across the shrimp pond; and 3) explore the current potential for improving economic efficiency. Such analysis can provide directions to farmers with similar framing practices, as well as supporting policy formulation on shrimp production efficiency management.

Materials and methods

Study area

The study area is located in Nakhon Pathom Province, in the central region of Thailand, coordinates 13°47′28.5″ N, 100°7′21.9″ E. This region is classified as tropical and has an annual rainfall of 1000–1500 mm. The pond is approximately 130 × 90 m in size and has a volume of 21,880 m3. The shrimp farm lies on flat terrain. The surrounding areas are rural fragmentations that are primarily agricultural and aquaculture lands.

The systematic grid sampling design was employed to ensure that sediment and water samples adequately represented the population. Distributive locations of five water samples and nine sediment samples are shown in Fig. 1.

Fig. 1
figure 1

Map of shrimp farm study area with water and sediment sampling locations

Shrimp farming characterization and management

Common practices to culture white shrimp for this farm are based on farmer knowledge and observation. The pond was equipped with four 27 kW electric motors and 60 paddle wheel aerators to avoid a low dissolved oxygen (DO) concentration. These aerators were operated two times a day from 12 am to 9 am and from 4 pm to 6 pm. During pond preparation, the pond bottom was allowed to dry for a period of three weeks between crop cycles. The bottom drying process enhanced the microbial decomposition of organic matter [9]. After that, water from the nearby canal was pumped into the shrimp pond (~18,234 m3) for the culturing process mixed with 500 L of saline water. The pond water level was maintained at ~1.5 m throughout the culture period, but no water exchange occurred during farming. After harvesting, water from the pond was pumped and drained to the adjacent canal flowed into the Tha Chin River and merged with other major rivers to the Gulf of Thailand.

The pond was stocked with 150,000 post-larval shrimp (PL15). The feeding frequency was twice a day for small post larvae (1–15 d), which slowly increased to three times a day when they grew larger. Whiteleg shrimp, L. vannamei, were cultured for 90 d between September and December 2017.

Water samples and preparation

Water samples were taken on four time scales throughout the production cycle: once during the pond preparation (input) in September; twice during the shrimp growing stage in October and November; and once before harvesting (output) in December. Four water samples were collected at 50 cm below the water surface using a bottle sampler. The measured water quality parameters were salinity, DO, electrical conductivity (EC), total dissolved solids (TDS) (Hach, sensION™ + MM156, USA), pH and temperature. The preservation of water was achieved by adding sulfuric acid to lower the pH to < 2. The samples were filled in polyethylene bottles and placed in a cooler below 4 °C. The samples were transported to the Department of Environmental Science Laboratory, Chulalongkorn University, immediately after sampling.

Due to the limitation of rain gauge data, rainfall was collected by farm staff in the area nearby the shrimp pond using a clean water bottle, then brought to the laboratory. The amount of rainfall data was collected through the nearest meteorological station in the same district. The aggregated precipitation data for four months were used to calculate the N content in rainfall.

Sediment samples and preparation

Nine surface sediment samples were taken across the pond on four timescales: once during the pond preparation using the soil core, twice during shrimp culturing using an Ekman grab sampler and once again before harvesting using the Ekman grab sampler. The salinity, EC, pH and temperature were determined on site. The samples were kept in polyethylene bags and placed in a cooling box kept at below 4 °C. Freeze-drying of the sediment was performed prior to further analysis of total phosphorus (TP). The sediment was grounded and mixed homogeneously, then sieved through a 0.5 mm mesh.

Sediment, water and shrimp laboratory analyses

Three forms of N components from pond water, rainfall and sediment were analyzed. For sediment samples, the solution was separated from sediment particle through a filter paper (Whatman No. 2). Water sample analyses were performed using the following methods: total Kheldahl nitrogen (TKN), EPA Method 351.1; nitrate (NO3+), nitrite (NO2), EPA Method 352.2 (United States Environmental Protection Agency [10]); TP, Standard Method 5310B (American Public Health Association [11]).

The total organic matter (OM) was analyzed by a Walkley Black modified acid-dichromate digestion, FeSO4 titration method [12].

Shrimp were randomly captured using a net one day before harvesting. The fresh shrimp samples were kept in zipped lock bags inside a cooler filled with ice. Fifteen shrimp were weighed on a scale and grinded to a single composition. The methods used for the determination of N and P contents in shrimp were as same as for the sediment analysis procedure.

In-out nutrient budget calculation

The N and P budgets were calculated by subtracting nutrient outputs from inputs. A simple model for nutrient input and output analysis is shown in Fig. 2.

Fig. 2
figure 2

Model for nutrient input and output analysis in an intensive shrimp farm

Statistical analysis

Descriptive statistics, including maximum, minimum, mean, and standard deviation, were employed to explain the characteristics of physical and chemical properties of water and sediment. A paired-t test was applied to compare the mean concentrations of nutrients before operation and after harvest in water and sediment samples. Three replicate measurements were determined for each water and sediment sample. Statistical analyses and graphics were generated using R 3.5.2 computing environment. Spatial distributions of were generated using ArcMap 10.6 software.

Environmental-economy efficiency

FCR values vary with the production system and the type of feed used. According to the Food and Agriculture Organization of the United Nations, FCRs of 1.4–1.8 are generally obtained from intensive whiteleg shrimp farming [13]. FCRs as low as 1.2 can be achieved when applying a superior quality of feed, yet many shrimp farmers experience FCRs of higher than 2.2 [14].

This study evaluated environmental-economic efficiency using the FCR concept. The FCR was calculated by the ratio between the input of the feed applied and the weight gain of the shrimp population. We used the upper FCR of 1.8 suggested by FAO to compare with the existing efficient management.

Results and discussion

Pond water and sediment quality parameters

The descriptive statistics of temperature, pH, DO, salinity, TDS, EC and OM are presented in Table 1. The water was suitable for shrimp farming, as recommended by the Department of Fisheries. The pH of the water was moderately alkaline, resulting from lime additions during pond preparation. The values of the water salinity ranged from 0.5–0.6 ppt, considering as fresh water (0–0.5 ppt) or slightly brackish water (0.5–30 ppt) [15]. The farm owner added 500 L of saline water, which contributed a minimal amount of salt compared to the water volume in the pond. The L. vannamei can be found in a wide range of salinities, from as low as 0.5 ppt to ocean-like water at 45 ppt, but they grow well at the range of 10–15 ppt [16]. The salinity, EC and TDS were related. The TDS range was 528–656 mg L− 1 and the EC range was 1057–1312 μS cm− 1. Salinity and TDS were estimates of the level of salt in water and were derived from the EC reading using a conversion factor of 0.5. This water condition measured in this study was similar to the whiteleg shrimp culture in Mexico where they used groundwater as a main source. The major chemical properties included a pH of 7.69, TDS of 650 mg L− 1 and EC of 1074 μS cm− 1 [17]. Overall, despite the relatively low salinity, the water quality in this study was in a range for growing L. vannamei.

Table 1 Basic characteristics of pond water and sediment quality during an intensive whiteleg shrimp culture cycle

The average values of OM and pH in the sediment increased with time. The input of OM came from the food and fertilizer applied to the pond. The pond was in closed condition with no water exchange, and hence OM kept accumulating within the pond over time. However, sediments in this study contained a much lower OM content (12.7 ± 0.9 g kg− 1) than OM found in small-scale white shrimp farms (75.2 ± 38.7 g kg− 1) in southern Thailand [18]. In addition to the low OM content, the pH in sediments showed lower values when compared to the measured pH in water throughout the culture period. This can be explained by the experimental procedure using a 1:1 sediment to solution ratio in deionized water that formed a weak basic solution.

The TN and TP in the sediment increased overtime (Fig. 3). The average TN input in sediment significantly (p = 0.01) rose from 0.75 ± 0.04 mg g− 1 in September to 1.21 ± 0.00 g kg− 1 in December. Similar to TN, TP also exhibited the same trend. The average TP increased from 0.99 ± 0.88 mg g− 1 in September to 2.31 ± 0.98 mg g− 1 in December (p < 0.0001).

Fig. 3
figure 3

Spatio-temporal variations of (a) total nitrogen and (b) total phosphorus in the sediment during a 90-d crop cycle. Graphical distribution maps present average nutrient values on each sampling location based on four times experiment. Boxplots demonstrates data distribution based on monthly experiment

Overall, the TN concentration throughout the shrimp cycle was under the quality control regulation. Although there was a statistically significant increase in the average TN input in water from 1.08 ± 0.24 mg L− 1 in September to 2.10 ± 0.24 mg L− 1 in December (p = 0.0003) (Fig. 4), the average water outlet concentration did not exceed the Thai Freshwater and Brackish Water Quality Control Standards for Aquaculture (≤ 4.0 mg L− 1) [19]; however, significant N loading can be experienced during harvesting when the pond is emptied, and the nutrient concentrations are likely to be at their highest [20].

Fig. 4
figure 4

Spatio-temporal variations of (a) total nitrogen and (b) total phosphorus in the water during a 90-d crop cycle. Graphical distribution maps present average nutrient values on each sampling location based on four-time sampling in the experiment. Boxplots demonstrates data distribution based on monthly experiment

In contrast, ≤ 0.5 and ≤ 0.4 mg L− 1 are the maximum TP limits for freshwater aquaculture and brackish aquaculture wastewater [19]. Our results indicated that the phosphorus content was already high from the received water with mean values of 3.01 ± 0.46 mg L− 1 and increased to 4.21 ± 0.21 mg L− 1 (p = 0.001) (Fig. 4). This system is clearly in a ‘phosphorus enrichment’ condition. In addition to the high P input, abundant fertilizer was added during shrimp molting to accelerate the increment of TP in the pond. Seasonal synchrony with shrimp molting stage was one of the reasons the farmer added extra P fertilizer. Crustacean molts are often coupled with seasonal synchrony, such as the lunar, semi-lunar and tidal cycles. The synchrony has been reported in several studies [21, 22]. In this molting stage, shrimp need to leave the old exoskeleton and build a larger one, therefore it is important to ensure that sufficient calcium and phosphorus are provided to support the new shell form. For this intensive shrimp farming pond, the feeding activity increased according to the lunar phase. The farm owner added supplementary superphosphate (20% P) fertilizer into the pond bimonthly. This can be beneficial because increased primary production can lead to increased shrimp biomass. The downside was that over nutrient enrichment drives excessive primary productivity in natural waterways. Fertilizer application was thus the major concern for this particular farming.

Feed utilization

Feed was one of the important inputs in shrimp production and played a significant role in the costs of this shrimp farm. Four different types of artificial feed pellets varying in size were used for the different age classes (Table 2). On a regular basis, feeds were applied twice a day in the first 30 days and increased to three times a day from 31 to 90 d.

Table 2 Feed and feeding schedule during shrimp culture period of 90 days

Protein is the most important nutrient that contributes a large percentage in shrimp feed. There was a limitation of nutrient component information from diets, the calculation of TP and TN was thus a proxy estimation based on the nutrient mixture and the amount of feed application. The TN is ~0.16 g or 0.16% of protein [23]. Commercial feeds for aquatic animals contained ~1.5–2.5% P [24] and the optimum TP content in shrimp diets was 1–15% P. This TP amount is sufficient for shrimp to gain more weight and have more ability to convert the eaten feed into flesh [25]. This study adopted the P composition in shrimp feed at 1.5% P. The labeled percentage of protein on the feed bag with the amount of feed was converted to the amount of TN and TP use in the system (Table 3). The amount of superphosphate use was accounted for as 102.34–204.68 kg P.

Table 3 Amount of TN and TP in the feeds

Nutrient budget and FCR

The TN input represented the sum of N in inlet water (NinputW), in rainfall (NinputR) and in feed (NinputF). All these accounted for 107.8 kg, divided into 19.6% for NinputW, 0.1% for NinputR and 80.3% for NinputF. In contrast, the TP in the systems was 178.4 kg. Fertilizer (PinputFR) was the major path of P input, contributing 57.4% of TP inputs. Inlet water (PinputW) brought on 30.8%, while feeds (PinputF) showed the least contribution among P inputs, 11.9% (Fig. 5).

Fig. 5
figure 5

Nutrient budget in an intensive whiteleg shrimp farm

The sum of N output was estimated at ~107.8 kg, representing 35.5% effluents (NoutputW), 17.0% shrimp harvest (NoutputH) and 46.4% accumulation in sediment (NoutputS). The remaining portion of 1.2% was unaccounted and assumed to be loss to the atmosphere by bacterial denitrification. The TP output was 178.4 kg. This amount was broken down to 53.5% sediment accumulation (PoutputS), 43.1% effluents (PoutputW), 0.7% in shrimp stocks (PoutputH) and 2.8% unaccounted P (Fig. 5).

Most of the nutrient input came from feed and fertilizer as shrimp require protein for growth. When these inputs were high and nutrients were only partly consumed by shrimp, the remainder accumulated in sediment at the bottom of the pond or was suspended in the water. In addition, multiple crops around the year can also raise high nutrient pile-up through the sediment aggregation.

In comparison to the L. vannamei small-scale farms in the southern region of Thailand, coastal shrimp farms used refilled water in culturing and produced 22.0 kg TKN t− 1 production [18], while sediment accumulation in this study generated ~71.4 kg TKN t− 1 production or increased three-fold compared to their study. Our study showed that for the TN input, 17.0% was recovered in the 700 kg of shrimp biomass harvested from the pond. This number possessed comparatively low N utilization when compared to intensive shrimp farms in the Gulf of California Ecoregion, where 52% was recovered in 2000 kg of shrimp biomass [26]. Similar to this study, the Penaeus monodon pond in India operated with no water exchange. The harvest of shrimp accounted for recovery of 10.1–12.9% P, with feed alone accounting for 91.2–95.4% P. Phosphorus accumulation in sediment was 64.1%, effluents contributed 2.9% and uncounted P shared 21.8% [27]. Clearly, pond bottom conditions are critical for shrimp compared to other aquaculture species and they need to be seriously managed because shrimp spend most of their lifetimes at the bottom of ponds.

The FCR was estimated to determine the performance of feed and production from stocking to harvest. It was calculated by total weight of total feed consumed (kg) divided by the total yield. FCR was 1410 kg feed per 700 kg production = 2.0. It implied that 2.0 kg of feed is needed to produce 1 kg of shrimp body live weight. The feeding frequency can have effects on the FCR, as reported in Aalimahmoudi et al. [28]. The FCR values for L. vannamei were 2.6 ± 0.1 and 2.6 ± 0.1 when the feeding frequencies were two and four times a day, respectively. However, the FCR declined to 1.8 ± 0.0 when diets were given six times a day. In addition, the relatively high FCR may be due to a temperature drop to below 25 °C that could decrease the feed consumption and growth rate [29]. The low temperature in the pond at the end of the cycle in our study (21 °C) was possibly responsible for a slow growth rate of shrimp as they reduced consumption. In a well-managed system, FCR can be reduced to 1.3 to 1.5; however, in poorly managed condition, FCR can be as high as 2.5 [30]. On the average shrimp farm, the FCR ratios of 1.6–1.8 were reported across 174 black tiger shrimp farms in Thailand [31].

Feed is one of the highest variable costs of shrimp farming [32]. In addition to lowering feeding costs and maintaining shrimp growth, diminishing the FCR lessens the nutrient load per unit of production and reduces the oxygen demand, as well as cutting down the potential for eutrophication and acidification [7]. To estimate the optimum feed strategy, daily feed inputs were calculated upon an expected FCR of 1.8. The expected total amount of feed should be ~1263 kg so that the farm owner can save up to $11.4 USD d− 1 of feed cost or $1027 USD crop− 1. In the case where three crops are operated per year, the owner can save $3081 USD yr− 1 for the feed. The amount of nutrients is anticipated to reduce from 86.5 to 77.5 kg for N and from 21.2 to 19.0 kg for P use in the pond system. Due to the limitation of fertilizer data, fertilizer was not taken into this calculation. Phosphorus is expected to decline with more economical efficiency when well-planned fertilizer management is cooperated in real practices. Table 4 illustrates feed inputs and cost calculation based on an expected FCRs of 2.0 and 1.8.

Table 4 Feed inputs and cost calculation based on FCRs of 2.01 and 1.80

According to nine different studies, including this one, despite a variety of species, location, and intensity, the majority of N input came from feed with a value of more than 80% [6, 26, 27, 33, 34]. This is while water influent was the main N input budget investigated in Teichert-Coddington et al. (62.9%) and Miranda et al. (62.7%) [35, 36] where semi-intensive farming system was operated. This high N inlet may be due to the water exchange between pond system and natural water. In an extensive farming scheme, fertilizer was the highest N contributor, with a value of 63.4% [37]. The results reflected farm management that depended on natural food and were enhanced with chemical fertilizer. The authors additionally claimed that semi-intensive and intensive culture systems caused excessive nutrient discharge when compared to extensive shrimp culture. Among all studies in Table 5, Paez-Osuna and Ruiz-Fernandez [26], Teichert-Coddington et al. [35], and Miranda et al. [36] missed revealing N accumulation in the sediment but showed that N output was discharged to the environment about 80%. The other six studies agreed that sediment accumulation is the main N output in the pond system, from 34% in a closed system [33] to as high as 50.3% [27] in semi-intensive scheme. Interestingly, while all studies found that only < 35% of consumed N is retained in shrimp, Paez-Osuna and Ruiz-Fernandez reported that 52% N was recovered in shrimp body. There were two potential losses of N via denitrification and ammonia volatilization classified into the other category and often not measured directly.

Table 5 Nutrient budget approach and FCR analysis of shrimp farming from a range of settings and scales expressed by radar chart. A scale in percentage displays N mass (in red) and P mass (in blue) generated by different channels

Similar to N input, added feeds were the main P contributor in the grow-out shrimp pond, as shown in five studies [6, 26, 27, 33, 34]. Water intake was leading among P inputs in the Teichert-Coddington et al. and Miranda et al. studies on semi-intensive culture pond [35, 36]. The contrary tendency was observed between extensive system [37] and intensive system from this study. The major P inputs originated from fertilizer, with high percentage P loads of 87.7 and 57.4%, respectively. Excessive use of fertilizers is a caution of this study as compared to other intensive farming conditions. Water effluents released P to the surrounding water 60.2% and up to 71.5% in Teichert-Coddington et al. and Miranda et al. [35, 36] while the other studies [6, 26, 27, 33, 34] including this study reported that more than 50% of P was trapped in the sediment and can be as high as 92% in the extensive cultured pond. P was removed as harvested shrimp lower than N in all comparative studies. The highest P removal of shrimp harvest was 25% [26], and the lowest level was 0.7%, as shown in this study.

It is observed that nutrient use, N and P loads, and FCR varied among farms across location, management technique, and species. In extensive and semi-intensive aquacultural farming, a greater contribution of N and P inputs was from non-feed sources, either from water inlets or added fertilizers. In terms of FCR, low FCR values found in previous studies can be ascribed by various reasons, such as the strict control of feeding in closed system [33], seasonal variation [35], and shorter period for reaching harvest size [34]. On the contrary, Limsuwan [38] listed five common mistakes that lead to the high FCR: usual high water temperature, overfeeding, over frequent feeding, fast water current from aerators, and insufficient aeration. Many studies have calculated FCR to perform feed utilization efficiency, but most failed to recalculate the magnitude in the sense of how much farm owners could save from adjusting to lower FCR. This study, though on small scale farming, demonstrated that setting a FCR goal with monetary projection could motivate positive practices to a sustainable way.


At a small-scale farm level, the quality parameters of both water and sediment were within optimum ranges for shrimp culture. Although nutrient concentrations in water were under water quality standard from aquaculture, at this concentrated level, it could accelerate plant growth and create water pollution in nearby areas. The findings from this study increase awareness of nutrient application in an intensive L. vannamei farming pond. The four-fifths N input found in the pond mainly came from shrimp feeds, while the largest amount of N output was accumulation in the sediment. Of the P inputs, fertilizer was the lead contributor with 57.4% in the pond, followed by inlet water and feed. From the output path, the shrimp product recovered the smallest part of P, whereas the bottom pond was the largest sink for P accumulation. The effluents contained more nutrients than inlet water, indicating that there were abundant nutrients that had not been used. A high FCR of 2.0 indicates that this farm requires better feed management strategy. The expected FCR of 1.8 could cut down 9.04 kg N and 2.21 kg P in the aquaculture system in one crop. With this feasible FCR, the farm owner can save investment costs on feed up to $1027 USD crop− 1 due to 147 kg feed reduction. There is considerable potential to improve the economic and environmental performance of intensive L. vannamei farming. The development of such a system will contribute to reducing the environmental impacts from shrimp, improving the profitability of the farm and allowing it to become part of a sustainable shrimp industry.

Availability of data and materials

We declare that all datasets supporting the findings of this study are available within the manuscript, under Additional file 1.


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We thank Mr. Somchai Jiamjiroch, the farm owner, for offering his farm as a study area. This research received funding from the National Science and Technology Development Agency (NSTDA), grant number FDA-00-2561-6271-TH. The laboratory activities were supported by the Department of Environmental Science, Faculty of Science, Chulalongkorn University.


The only source of funding is from the National Science and Technology Development Agency (NSTDA), grant number FDA-00-2561-6271-TH. This grant supports data collection, laboratory analysis, data analysis and interpretation, and manuscript submission.

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We wish to confirm that the manuscript has been read and approved by all named authors and that there are no other persons who satisfied the criteria for authorship but are not listed. Four authors have made contributions to the paper as follows: Author 1: PC. Devised the project and the main conceptual ideas; collected sample; analyzed the data; wrote the manuscript with input from all authors; designed the figures. Author 2: NR. Nitrogen section – Collected samples; performed the laboratory experiments; analyzed the data; verified the numerical results; drafted the output results. Author 3: VP. Phosphorus section – Collected samples; performed the laboratory experiments; analyzed the data; verified the numerical results; drafted the output results. Author 4: VK. Designed and directed the project; developed the theoretical framework; aided in interpreting the results.

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Correspondence to Pasicha Chaikaew.

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Additional file 1.

Measurement of nitrogen and phosphorus in water and sediment obtained from four time scales throughout the production cycle.

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Chaikaew, P., Rugkarn, N., Pongpipatwattana, V. et al. Enhancing ecological-economic efficiency of intensive shrimp farm through in-out nutrient budget and feed conversion ratio. Sustain Environ Res 29, 28 (2019).

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