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Title: 臺灣周邊海域黃鰭棘鯛之年齡與成長研究
Studies on age and growth of Acanthopagrus Latus in the waters off Taiwan
Authors: Chiu, Shao-Jhu
Contributors: NTOU:Department of Environmental Biology and Fisheries Science
Keywords: 黃鰭棘鯛;耳石;成長方程式;隨機森林分析法
Acanthopagrus latus;otolith;growth function;Random forest
Date: 2019
Issue Date: 2020-07-02T07:40:30Z
Abstract: 黃鰭棘鯛 (Acanthopagrus latus) 廣泛分布於全球海域,屬於淺海底層魚類,在台灣水產養殖與沿近海漁業中都是高經濟價值的物種。有關其成長研究過去並不多見,而在黃鰭棘鯛資源量日益衰退的情況下,建立其野外族群之成長模型以便做後續資源評估等相關管理措施,以及搭配放流及其他漁業政策來復育黃鰭棘鯛之漁業資源量是必須的。本研究以耳石作為年齡判讀形質,並自2016年9月至2018年3月期間共採集634尾樣本,其中因苗栗地區樣本佔總樣本80%以上,故將以苗栗地區之黃鰭棘鯛樣本作為本研究後續之分析對象。根據邊緣成長率的分析,判別耳石輪紋形成之週期性為一年,並且在6至7月會開始形成新的輪紋。而以耳石切片建立三個不同成長方程式VBGE、Robertson、Gompertz得知其極限體長(L∞)分別為35.68、41.19、38.85 cm,成長係數(k)為0.43、0.31、0.34 yr-1,且VBGE之AIC值最低,接著以VBGE計算黃鰭棘鯛雌雄成長方程式分別為雌性: Lt = 36.35 (1- e -0.425( t+1.56 ) ),雄性: Lt = 33.52 (1 - e -0.431( t+1.90 ) ),雌雄間成長曲線具顯著差異。另外,為了能更便利的獲取年齡資料,且節省大量時間及人力成本,本研究也將使用其他特徵變量做為年齡形質 (耳石外部形態、全長、性別),並以隨機森林分析法判別何種特徵變量為可行之定齡工具。而根據結果耳石重為最具解釋率之特徵變量,其總體正確判別率為60.08%。故後續累積更多資料,應可以此法取代耳石切片,增加效率。
Yellow seabream (Acanthopagrus latus) distributed globally, and it lived in the shallow sea. In Taiwan, it is an important species in both aquaculture and coastal fisheries, with high economic value. However, research about age and growth of yellow seabream wild population has not been established completed so far. And in the case of yellow seabream resources increasingly recession, it is necessary to establish the growth model to comtribute for the following resource assessment and other related management measures, and combine fry releasing programe and other fisheries policies to enhancing the fishery resources of yellow seabream. The purpose of this study is to estimating growth parameters for yellow seabream by otolith reading and the otolith morphological characteristics (including the length, width and weight of the otolith). Random forest analysis method was used to determine whether the otolith morphological characteristics is a feasible ageing tool. There were 643 specimens collected in this study between September 2016 and March 2018. The specimen from Miaoli accounted for more than 80% of the total specimen. Therefore, only the yellow seabream specimen in Miaoli area will be further analyzed in this study. According to the marginal increment ratio analyses, the formation periodicity of opaque zone was determined to be annual, and a new opaque zone will be formed from June to July. The growth parameters estimated by using VBGE, Robertson and Gompertz were 35.68, 41.19, and 38.85 cm for L∞, 0.43, 0.31, and 0.34 yr-1 for k respectively, and the AIC value was lowest by VBGE. The female and male VBGE growth function for yellow seabream were Lt = 36.35 (1- e -0.425( t+1.56 ) ) for female, and Lt = 33.52 (1 - e -0.431( t+1.90 ) ) for male, and was significant different between sex. According to Random forest analysis, the otolith weight has the most explained rate, and the average correction ratio was 60.08%. Therefore, after collecting more specimens, this method should be able to replace otolith section ageing method to increase efficiency.
Appears in Collections:[Department of Environmental Biology and Fisheries Science] Dissertations and Theses

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