• 제목/요약/키워드: Surplus production model

검색결과 36건 처리시간 0.027초

잉여생산량을 추정하는 모델과 파라미터 추정방법의 비교 (Comparison of models for estimating surplus productions and methods for estimating their parameters)

  • 권유정;장창익;표희동;서영일
    • 수산해양기술연구
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    • 제49권1호
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    • pp.18-28
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    • 2013
  • It was compared the estimated parameters by the surplus production from three different models, i.e., three types (Schaefer, Gulland, and Schnute) of the traditional surplus production models, a stock production model incorporating covariates (ASPIC) model and a maximum entropy (ME) model. We also evaluated the performance of models in the estimation of their parameters. The maximum sustainable yield (MSY) of small yellow croaker (Pseudosciaena polyactis) in Korean waters ranged from 35,061 metric tons (mt) by Gulland model to 44,844mt by ME model, and fishing effort at MSY ($f_{MSY}$) ranged from 262,188hauls by Schnute model to 355,200hauls by ME model. The lowest root mean square error (RMSE) for small yellow croaker was obtained from the Gulland surplus production model, while the highest RMSE was from Schnute model. However, the highest coefficient of determination ($R^2$) was from the ME model, but the ASPIC model yielded the lowest coefficient. On the other hand, the MSY of Kapenta (Limnothrissa miodon) ranged from 16,880 mt by ASPIC model to 25,373mt by ME model, and $f_{MSY}$, from 94,580hauls by ASPIC model to 225,490hauls by Schnute model. In this case, both the lowest root mean square error (RMSE) and the highest coefficient of determination ($R^2$) were obtained from the ME model, which showed relatively better fits of data to the model, indicating that the ME model is statistically more stable and robust than other models. Moreover, the ME model could provide additional ecologically useful parameters such as, biomass at MSY ($B_{MSY}$), carrying capacity of the population (K), catchability coefficient (q) and the intrinsic rate of population growth (r).

우리나라 멸치자원량추정을 위한 잉여생산모델과 최대엔트로피모델의 비교분석 (A Comparative Analysis of Surplus Production Models and a Maximum Entropy Model for Estimating the Anchovy's Stock in Korea)

  • 표희동
    • 수산해양교육연구
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    • 제18권1호
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    • pp.19-30
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    • 2006
  • For fishery stock assessment and optimum sustainable yield of anchovy in Korea, surplus production(SP) models and a maximum entropy(ME) model are employed in this paper. For determining appropriate models, five traditional SP models-Schaefer model, Schnute model, Walters and Hilborn model, Fox model, and Clarke, Yoshimoto and Pooley (CYP) model- are tested for effort and catch data of anchovy that occupies 7% in the total fisheries landings of Korea. Only CYP model of five SP models fits statistically significant at the 10% level. Estimated intrinsic growth rates are similar in both CYP and ME models, while environmental carrying capacity of the ME model is quite greater than that of the CYP model. In addition, the estimated maximum sustainable yield(MSY), 213,287 tons in the ME model is slightly higher than that of CYP model (198,364 tons). Biomass for MSY in the ME model, however, is calculated 651,000 tons which is considerably greater than that of the CYP model (322,881 tons). It is meaningful in that two models are compared for noting some implications about any significant difference of stock assessment and their potential strength and weakness.

A Bayesian state-space production model for Korean chub mackerel (Scomber japonicus) stock

  • Jung, Yuri;Seo, Young Il;Hyun, Saang-Yoon
    • Fisheries and Aquatic Sciences
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    • 제24권4호
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    • pp.139-152
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    • 2021
  • The main purpose of this study is to fit catch-per-unit-effort (CPUE) data about Korea chub mackerel (Scomber japonicus) stock with a state-space production (SSP) model, and to provide stock assessment results. We chose a surplus production model for the chub mackerel data, namely annual yield and CPUE. Then we employed a state-space layer for a production model to consider two sources of variability arising from unmodelled factors (process error) and noise in the data (observation error). We implemented the model via script software ADMB-RE because it reduces the computational cost of high-dimensional integration and provides Markov Chain Monte Carlo sampling, which is required for Bayesian approaches. To stabilize the numerical optimization, we considered prior distributions for model parameters. Applying the SSP model to data collected from commercial fisheries from 1999 to 2017, we estimated model parameters and management references, as well as uncertainties for the estimates. We also applied various production models and showed parameter estimates and goodness of fit statistics to compare the model performance. This study presents two significant findings. First, we concluded that the stock has been overexploited in terms of harvest rate from 1999 to 2017. Second, we suggest a SSP model for the smallest goodness of fit statistics among several production models, especially for fitting CPUE data with fluctuations.

Application of a Simulation Model for Dairy Cattle Production Systems Integrated with Forage Crop Production: the Effects of Whole Crop Rice Silage Utilization on Nutrient Balances and Profitability

  • Kikuhara, K.;Hirooka, H.
    • Asian-Australasian Journal of Animal Sciences
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    • 제22권2호
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    • pp.216-224
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    • 2009
  • In Japan, since rice consumption has been decreasing with the westernization of Japanese eating habits, surplus paddy fields have been increasing. If these surplus paddy fields can be utilized for forage rice production as feed for animal production and excretions (feces and urine) from animal production can be applied to the paddy fields as manure, then the problems of surplus paddy fields and excretions from animal production may be solved, and the environment kept sustainable. The objectives of the present study were to apply a bio-economic model to dairy and forage rice integration systems in Japan and to examine the merit of introducing whole crop rice silage (WCRS), as well as economic and environmental effects of various economic and management options in the systems. Five simulations were conducted using this model. The use of WCRS as a home-grown feed increased environmental loads and decreased economic benefit because of the higher amount of purchased feed, when compared to the use of typical crops such as maize, alfalfa and timothy silage (simulation 1). Higher economic benefits from higher forage rice yields and higher milk production of a dairy cow were obtained (simulations 2, 3). There were no economic and environmental incentives for utilizing crude protein (CP) rich WCRS, because an increase in the CP content in WCRS led to the use of more chemical fertilizers, resulting in high production costs and nitrogen outputs (simulation 4). When evaluated under the situation of a fixed herd size, increasing forage rice yields decreased the total benefit of the production, in spite of the fact that the amount of subsidies per unit of land increased (simulation 5). It was indicated that excess subsidy support may not promote yield of forage rice. It was, however, observed in most cases that dairy and forage rice integration systems could not be economically established without subsidies.

통합생산량분석법에 의한 한국 서해 어획대상 잠재생산량 추정 연구 (A study on the estimation of potential yield for Korean west coast fisheries using the holistic production method (HPM))

  • 김현아;서영일;차형기;강희중;장창익
    • 수산해양기술연구
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    • 제54권1호
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    • pp.38-53
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    • 2018
  • The purpose of this study is to estimate potential yield (PY) for Korean west coast fisheries using the holistic production method (HPM). HPM involves the use of surplus production models to apply input data of catch and standardized fishing efforts. HPM compared the estimated parameters of the surplus production from four different models: the Fox model, CYP model, ASPIC model, and maximum entropy model. The PY estimates ranged from 174,232 metric tons (mt) using the CYP model to 238,088 mt using the maximum entropy model. The highest coefficient of determination ($R^2$), the lowest root mean square error (RMSE), and the lowest Theil's U statistic (U) for Korean west coast fisheries were obtained from the maximum entropy model. The maximum entropy model showed relatively better fits of data, indicating that the maximum entropy model is statistically more stable and accurate than other models. The estimate from the maximum entropy model is regarded as a more reasonable estimate of PY. The quality of input data should be improved for the future study of PY to obtain more reliable estimates.

효과적인 자원평가모델 선정을 위한 잉여생산량모델의 비교 분석: 동해 생태계의 잠재생산량 분석을 대상으로 (Comparing Surplus Production Models for Selecting Effective Stock Assessment Model: Analyzing Potential Yield of East Sea, Republic of Korea)

  • 최민제;김도훈
    • Ocean and Polar Research
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    • 제41권3호
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    • pp.183-191
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    • 2019
  • This study sought to find which model is most appropriate for estimating potential yield in the East Sea, Republic of Korea. For comparison purposes, the Process-error model, ASPIC model, Maximum entropy model, Observation-error model, and Bayesian state-space model were applied using data from catch amounts and total efforts of the whole catchable fishes in the East Sea. Results showed that the Bayesian state-space model was estimated to be the most reliable among the models. Potential yield of catchable species was estimated to be 227,858 tons per year. In addition, it was analyzed that the amount of fishery resources in 2016 was about 63% of the biomass that enables a fish stock to deliver the maximum sustainable yield.

자원복원력 개념을 적용한 사전확률분포 및 상태공간 잉여생산 평가모델: 살오징어(Todarodes pacificus) 개체군 자원평가 (A State-space Production Assessment Model with a Joint Prior Based on Population Resilience: Illustration with the Common Squid Todarodes pacificus Stock)

  • 김진우;현상윤;윤상철
    • 한국수산과학회지
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    • 제55권2호
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    • pp.183-188
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    • 2022
  • It is a difficult task to estimate parameters in even a simple stock assessment model such as a surplus production model, using only data about temporal catch-per-unit-effort (CPUE) (or survey index) and fishery yields. Such difficulty is exacerbated when time-varying parameters are treated as random effects (aka state variables). To overcome the difficulty, previous studies incorporated somewhat subjective assumptions (e.g., B1=K) or informative priors of parameters. A key is how to build an objective joint prior of parameters, reducing subjectivity. Given the limited data on temporal CPUEs and fishery yields from 1999-2020 for common squid Todarodes pacificus, we built a joint prior of only two parameters, intrinsic growth rate (r) and carrying capacity (K), based on the resilience level of the population (Froese et al., 2017), and used a Bayesian state-space production assessment model. We used template model builder (TMB), a R package for implementing the assessment model, and estimating all parameters in the model. The predicted annual biomass was in the range of 0.76×106 to 4.06×106 MT, the estimated MSY was 0.13×106 MT, the estimated r was 0.24, and the estimated K was 2.10×106 MT.

키조개 TAC 제도의 효과 분석 (Effectiveness Analysis on Comb Pen Shell Based on TAC System)

  • 정민주;남종오
    • 수산경영론집
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    • 제47권3호
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    • pp.15-33
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    • 2016
  • This study aims to analyze effectiveness of the resource use under the total allowable catch system (TACs) of Comb pen shell, a species among TAC targeting ones through its stock assessment based on the surplus production model such as the Clark Yoshimoto Pooley (CYP) model. Particularly, this study is separated into five analysis periods in order to understand changes in Comb pen shell resource and its efficient use after TAC system implemented in 2001. The results of this study are as follows. First, five sustainable yield curves (SYCs) and exponential growth functions (EGFs) produced by the surplus production model based on Gompertz growth function to compare before and after implementation of the Korean TAC system show that the TAC system has generated a positive stock rebuilding effect for Comb pen shell caught by the diver fishery since 2001. Secondly, five profits based on differences between the sustainable total revenue (STR) and the total cost (TC) with respect to fishing efforts present that the TAC system has increased efficiency of resource use of Comb pen shell caught by the diver fishery after implementation of the Korean TAC system. In conclusion, the Korean TAC system has increased efficiency of resource use as well as has led a positive stock rebuilding effect for Comb pen shell.

축산물 군납사업의 사회적 후생효과 분석 (The Welfare Effects of the Military Purveyance Program of Livestock Products)

  • 장재봉;김윤형
    • 농촌계획
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    • 제28권4호
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    • pp.31-39
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    • 2022
  • This study empirically analyzed the welfare effect of the military purveyance program, which plays an important role in maintaining the sales channel and demand base in Korea's agricultural and livestock industry, as well as the stable supply of safe ingredients for military meals essential for the morale and combat power of soldiers. The military purveyance program causes additional demand for domestic livestock products, affecting the trading volumes and price levels in the market. This will change the welfare of producers and consumers, and affect the welfare of soldiers who are subject to military meals. The analysis results obtained through a simulation method based on the equilibrium displacement model are as follows. In the case of pork delivered for military service, producer surplus increased by KRW 55.3-62.2 billion and consumer surplus decreased by KRW 55.1~62.0 billion based on pork production in 2021. It wad analyzed that the consumer surplus in the military supply market, rather than the conventional market, increased by KRW 96.9 billion won, resulting in a total welfare gain of KRW 97.1 billion.

삼치어종의 동태적 최적어업관리 (The Dynamic Optimal Fisheries Management for Spanish Mackerel)

  • 조훈석;남종오
    • 자원ㆍ환경경제연구
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    • 제29권3호
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    • pp.363-388
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    • 2020
  • 본 연구의 목적은 다수어업에 의해 어획되는 삼치어종에 대해 잉여생산모형을 이용하여 최대지속적어획량(YMSY) 및 최대지속적어획노력량(FMSY)을 추정한 후 현재 가치 해밀토니안 기법을 적용하여 삼치어종을 어획하는 다수어업의 이윤 극대화를 위한 최적어업관리 수준과 민감도 분석을 통한 삼치어종의 제도적 접근 방안을 제공함에 있다. 분석 내용으로, 우선, 다수어업의 어획노력량을 Gavaris의 일반선형모형을 적용하여 하나의 단위로 표준화한 후, 다양한 잉여생산모형 중 CYP 모형을 채택하여 정태적 자원평가를 시도하였다. 다음으로, 생물·기술적 계수와 경제적 매개변수를 가지고 현재가치 해밀토니안 기법을 이용하여 어업 이윤을 극대화하는 동태적 최적 수준을 추정하였다. 분석 결과, 우선, MSY 수준과 이윤이 극대화되는 수준에서 우리나라 삼치자원은 남획되고 있는 것으로 분석되었다. 다음으로, 경제적 주요 변수인 생산가격과 단위당 어업비용 변화에 따른 민감도 분석을 시도해본 결과, 생산가격 및 어업비용이 변화할 때 삼치어종의 자원량이 민감하게 반응하는 것으로 나타났다. 특히, 실제 삼치어종에 대한 어획노력량이 과도하게 투입되고 있어, 동 자원의 남획으로 인해 삼치어종을 어획하는 쌍끌이대형저인망어업, 대형선망어업, 대형트롤어업의 경영에도 비효율성을 야기하고 있는 것으로 분석되었다. 결론적으로, 본 연구에서는 우리나라 연근해 수산자원의 회복과 TAC 총량규제의 정부 정책의 확대에 맞추어 삼치어종도 TAC 대상 품종에 포함하여 체계적으로 자원을 관리해 나가길 제안하였다.