Estimation of fish assessment index based on ensemble artificial neural network for aquatic ecosystem in South Korea

Kang, Hyeongsik; Jeon, Dong Jin; Kim, Soo-Hong; Jung, Kwang-Mo

doi:10.1016/j.ecolind.2022.108708

Cited by 11 publications

(8 citation statements)

References 39 publications

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“…A total of 75% of the data were randomly selected from the samples as the training set for modeling, and the remaining 25% of the data were verified. Fivefold cross-validation was used to evaluate the prediction performance and accuracy of the model [27], and the calculation was repeated 100 times. According to the results of crossvalidation, the number of decision trees (n tree ) was set to 1000, and the number of features (mtry) was 2.…”

Section: Construction and Analysis Of The Random Forest Modelmentioning

confidence: 99%

Distribution Characteristics and Driving Factors of Collichthys lucidus Species in Offshore Waters of Zhejiang Province, China

Xuan,

Zhang,

Zhang

et al. 2024

Fishes

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Collichthys lucidus is a small fish found in offshore waters that is economically important for China. It is imperative to understand its distribution characteristics and driving factors. Based on survey data of trawl fishery resources offshore of Zhejiang province, China, in spring (April) and autumn (November) from 2018 to 2022, the spatial and temporal distributions of C. lucidus in this area were analyzed. The random forest (RF) model was used to determine the important marine factors affecting the distribution of C. lucidus. The relationship between the distributions of the important variables was analyzed. The results showed that C. lucidus was mainly distributed in coastal waters. The tail density of the species exhibited obvious seasonal variation and was significantly greater in autumn than in spring. The most important factor affecting the distribution of this species in spring and autumn was water depth. The bottom temperature, bottom salinity and dissolved oxygen concentration were also important influencing factors. The importance of these factors differed among the different seasons, while the chlorophyll a concentration and pH had no significant effect on the species distribution. This study revealed the distribution pattern of C. lucidus in offshore waters of Zhejiang Province and the influence of important marine factors on its distribution. This study can enrich the survey data on C. lucidus and provide basic data for its scientific management and protection.

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Section: Construction and Analysis Of The Random Forest Modelmentioning

confidence: 99%

Distribution Characteristics and Driving Factors of Collichthys lucidus Species in Offshore Waters of Zhejiang Province, China

Xuan,

Zhang,

Zhang

et al. 2024

Fishes

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“…The index refers to a biota in which aquatic insects account for most species appearing in the ecosystem. 3 Fish Assessment Index: Organisms at the apex of the food chain in the water columns representing omnivores, herbivores, insectivores, and carnivores at various trophic levels. 4 The RVI is a multimetric index based on compositional metrics (e.g., the cover and number of alien and endemic species) and functional metrics associated with life cycle and reproduction (e.g., numbers of perennial species), and with trophic status (e.g., proportion of nitrophyllous species).…”

Section: Aquatic Ecologymentioning

confidence: 99%

“…The plan includes the following components: characterize watershed conditions, identify and prioritize problems, define the goal for watershed management, and implement restoration and enhancement strategies. Because an understanding the state of watershed conditions is the basis for implementing the above components, many researchers and nations have suggested various approaching methods for assessing watershed conditions [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…The ambient water quality standard and the goal for the grade of water quality is announced in Article 10-2 of the Water Environment Conservation Act [17] 2. The administration procedures guide of determination for the water cycle management indicator to control non-point source pollution announced in Article 53-5 of the Water Environment Conservation Act [17] 3. Article 9-3 of the Water Environment Conservation Act[17]…”

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confidence: 99%

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Framework for Healthiness Assessment of Water Cycle to Decide the Priority of Enhancement and Restoration Plans

Jin

Lee

Kang

et al. 2022

Water

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The water cycle in watersheds is vulnerable due to climate change; hence, the need for sustainable watershed management is increasing. This paper suggests a framework for a healthiness assessment of the water cycle to provide a guideline for systematic watershed management considering the previous and current states. The suggested framework aims to prioritize restoration and enhancement plans based on the graded healthiness of the water cycle elements by the watersheds. The framework is composed of two assessment procedures: a problem-focused assessment to identify problems such as flood, drought, and river depletion in the watershed and the highest priority assessment to select the watershed for enhancement and restoration plans. The healthiness assessment method for each metric is suggested based on the Korean Framework Act on Water Management. The framework was applied to four different watersheds in South Korea. The framework is proven to be an effective method to identify practical emerging problems for the water cycle in each watershed. The framework can contribute to providing technical information to detect the water problem of the watershed by objectively diagnosing the watersheds with various potential water problems via the healthiness assessment.

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“…However, in addition to these linear-based models, artificial neural networks are also considered as important tools for clustering, dimensionality reduction and visualizing complex data. Following the development of artificial intelligence technology, Kohonen self-organizing map (SOM), one of the most widely-used unsupervised artificial neural networks, has been increasingly applied in ecological research and environmental monitoring, as they can help to identify nonlinear patterns and relationships in complex datasets that would otherwise be difficult to discern [26][27][28][29]. SOMs have previously been used to characterize distributions and habitats of aquatic organisms [30,31], vocalization in some cetaceans [32,33], and habitat utilization of coastal dolphins [29], but so far have not been applied to prenatal investment in mammals.…”

Section: Introductionmentioning

confidence: 99%

Life History Parameters to Inform Pattern of Prenatal Investment in Marine Mammals

Huang,

Liu,

Turvey

et al. 2023

JMSE

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Marine mammals are a diverse group of aquatic animals that exhibit wide variation in body size, living conditions, breeding habitat, social behaviour and phylogeny. Although case studies about prenatal investment in cetaceans and pinnipeds have been investigated, comparative studies across different marine mammal taxonomic groups have not yet been conducted systematically. Here, six life history parameters from 75 marine mammal species were collected based on a meta-analysis of the existing literature, and prenatal investment patterns for different taxonomic groups were explored using an unsupervised artificial neural network of a self-organizing map (SOM). Most marine mammal species can be clearly divided into two clusters of small-bodied taxa (small-bodied toothed whales, pinnipeds) and large-bodied taxa (baleen whales, sperm whales and beaked whales, large-bodied toothed whales) based on their distribution within SOM feature maps. Gestation periods and breeding intervals are significantly shorter in pinnipeds than in small-bodied toothed dolphins despite being similar in body size, indicating their adaption to birthing and nursing on land or ice floes. Specific deep-dive feeding behaviour seems to have no impact on the prenatal investment of beaked whales and sperm whales, as these species exhibit a similar capital breeding strategy to baleen whales. Medium-bodied sirenians adopt an intermediate strategy between small-bodied and large-bodied toothed whales, suggesting their prenatal investment strategy is not affected by herbivorous habits. Overall, our results support the body-size hypothesis and breeding-substrate hypothesis and indicate that prenatal investment strategies of marine mammals are possibly not influenced by feeding habits or social behaviour. We suggest that effective conservation measures for small-bodied toothed whales and pinnipeds should prioritize the protection of habitats and minimize human disturbance, whereas conservation measures for large-bodied whales and beaked whales should focus on strategies to prevent substantial declines in population size.

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Estimation of fish assessment index based on ensemble artificial neural network for aquatic ecosystem in South Korea

Cited by 11 publications

References 39 publications

Distribution Characteristics and Driving Factors of Collichthys lucidus Species in Offshore Waters of Zhejiang Province, China

Distribution Characteristics and Driving Factors of Collichthys lucidus Species in Offshore Waters of Zhejiang Province, China

Framework for Healthiness Assessment of Water Cycle to Decide the Priority of Enhancement and Restoration Plans

Life History Parameters to Inform Pattern of Prenatal Investment in Marine Mammals

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