Performance comparison of biotic indices measuring the ecological status base on soft-bottom macroinvertebrates: a study along the shallow Gomishan lagoon (Southeast Caspian Sea)

Basatnia, Nabee; Hosseini, Seyed Abbas; Ghorbani, Rasoul; Muñiz, Pablo

doi:10.1590/s1679-87592015074606304

Cited by 5 publications

(2 citation statements)

References 54 publications

(50 reference statements)

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“…Nevertheless, BENTIX now showed better performance than the other two indices (for the reasons mentioned above), which had been found elsewhere (e.g., Kalkan et al, 2007;Pranovi et al, 2007;Simboura and Argyrou, 2010;Spagnolo et al, 2014;Basatnia et al, 2015).…”

Section: Within the Disturbance Gradientssupporting

confidence: 66%

Ability of invertebrate indices to assess ecological condition on intertidal rocky shores

Vinagre

Pais-Costa

Hawkins

et al. 2016

Ecological Indicators

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Section: Within the Disturbance Gradientssupporting

confidence: 66%

Ability of invertebrate indices to assess ecological condition on intertidal rocky shores

Vinagre

Pais-Costa

Hawkins

et al. 2016

Ecological Indicators

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“…Each of these coastal regions is a special, delicate environment that is very important as a natural habitat for many different living types. In terms of prospects for agriculture, aquaculture, tourism, and leisure activities, lagoons are also crucial to the socioeconomic framework [4]. However, if the aforementioned socioeconomic benefits are not carefully regulated and supervised, they could become harmful to the ecological environment.…”

Section: Introductionmentioning

confidence: 99%

Water quality assessment in coastal lagoons using improved back propagation deep neural network with PH level compensation sensors in smart environment

2023

Global NEST: The International Journal

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<p>In coastal lagoons, eutrophication is a significant ecological and environmental problem. The majority of the pollution and deterioration problems that coastal zones and their ecosystems face are due to human influence through urbanization and industrialization. In this research, evaluations of water quality were made throughout a few lagoons in India during both the wet and dry seasons to establish their suitability for harboring aquatic life and the impact of seasonality on their quality. In order to reduce the effect of environmental influences on sensor based on nanoparticle sensitive film, an enhanced deep Back Propagation (BP) neural system was developed. The incompatibility between high performance and low calculation time was typically found in today’s modern sensor compensation techniques. Moreover, higher recognition errors were always the outcome of weak self-learning abilities. To solve these problems, a 16-layer deep BP neural network model was developed after hyper parameter searching. In Addition, the stochastic gradient descent (SGD) method and the mini-batch method were employed to achieve a proper balance between model performance and training time difficulties. The enhanced deep BP neural network was a great compensation solution for the sensor used in complicated environments due to its self-learning and self-adaptability. The proposed method is named as Imp_BPNN_SGD is analyzed in terms of various parameters and found that it achieves 35.6% of RMSE, 21.6% of MAE, 19.6% of RAE and 97.2% of D2</p>

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The application of two benthic indices to investigate the effects of land-based fish farms in coastal transitional ecosystems: two case studies in Tuscany region (Italy)

Forchino

Brambilla²,

Rimoldi

et al. 2018

Aquacult Int

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The effects on the benthic ecosystem deriving from the activities of two land-based fish farms located in Italian coastal transitional ecosystems (CTEs) were investigated. Together with chemical and physical analysis, some biological analysis was performed. For each fish farm, three stations were sampled: two stations located inside the farm (ponds exit and farm exit) and one station located outside the fish farm, considered as reference site. The AZTI’s Marine Biotic Index (AMBI) and the BENTIX index were calculated, which are being used in assessing the ecological status of benthic communities within the European Water Framework Directive (WFD). Results were compared in order to evaluate the more suitable index for this study area. Both the indices gave similar results but AMBI resulted more sensitive than BENTIX, probably due to the small size of the collected samples. This study seems to suggest that AMBI, being not dependent from sample size, could be preferred as descriptor of benthic health status in CTEs

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Performance comparison of biotic indices measuring the ecological status base on soft-bottom macroinvertebrates: a study along the shallow Gomishan lagoon (Southeast Caspian Sea)

Cited by 5 publications

References 54 publications

Ability of invertebrate indices to assess ecological condition on intertidal rocky shores

Ability of invertebrate indices to assess ecological condition on intertidal rocky shores

Water quality assessment in coastal lagoons using improved back propagation deep neural network with PH level compensation sensors in smart environment

The application of two benthic indices to investigate the effects of land-based fish farms in coastal transitional ecosystems: two case studies in Tuscany region (Italy)

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