Linking fisheries to land use: How anthropogenic inputs from the watershed shape fish habitat quality

Giacomazzo, Matteo; Bertolo, Andrea; Brodeur, Philippe; Massicotte, Philippe; Goyette, Jean-Olivier; Magnan, Pierre

doi:10.1016/j.scitotenv.2019.135377

Cited by 35 publications

(20 citation statements)

References 64 publications

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“…The poor water quality outcomes result in inferior quality products, health risks for humans, and low profit. Water contaminants harm the growth, development, reproduction, and mortality of the fishes cultured on a farm, which vastly reduces farm production [3]. Some pollutants may remain in small quantities but may threaten human health [4].…”

Section: Introductionmentioning

confidence: 99%

Recent Advancement of the Sensors for Monitoring the Water Quality Parameters in Smart Fisheries Farming

et al. 2021

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Water quality is the most critical factor affecting fish health and performance in aquaculture production systems. Fish life is mostly dependent on the water fishes live in for all their needs. Therefore, it is essential to have a clear understanding of the water quality requirements of the fish. This research discusses the critical water parameters (temperature, pH, nitrate, phosphate, calcium, magnesium, and dissolved oxygen (DO)) for fisheries and reviews the existing sensors to detect those parameters. Moreover, this paper proposes a prospective solution for smart fisheries that will help to monitor water quality factors, make decisions based on the collected data, and adapt more quickly to changing conditions.

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Section: Introductionmentioning

confidence: 99%

Recent Advancement of the Sensors for Monitoring the Water Quality Parameters in Smart Fisheries Farming

et al. 2021

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“…Meanwhile, a variety of quantitative techniques have evaluated migratory bird habitats, such as the vulnerability index [43], habitat efficiency index [44], Geographic Information System (GIS) and remote sensing (RS) technologies [45,46], and fuzzy comprehensive evaluation [47]. More recent studies have focused on the impact assessment of human activities on migratory bird habitats, such as fisheries [48][49][50], dredging [51], and water conservation projects [52][53][54].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation of Siberian Crane Habitats and the Response to Water Level in Poyang Lake Wetland, China

Zou

et al. 2021

Remote Sensing

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The Poyang Lake wetland in China is the largest wintering destination for Siberian cranes worldwide. Understanding the spatiotemporal characteristics of crane habitats is of great importance for ecological environment governance and biodiversity protection. The shallow water, grassland, and soft mudflat regions of the Poyang Lake wetland are ideal habitats for wintering Siberian cranes. Based on Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI) remote sensing images, habitat areas were extracted and associated with various water levels taken on multiple dates. Landscape metrics were applied to describe the spatial structural characteristics of the crane habitats, and spatial statistics are used to explore the cold and hot spots of their distribution. Moreover, three indicators including sustainability, stability, and variety were applied to evaluate the vulnerability of the crane habitats under different hydrological conditions. Our findings indicate: (a) The main crane habitats exhibit a gradual decreasing degree of fragmentation in time, an obvious uncertainty of shape complexity and a relatively stable connectivity. (b) The crane habitats have a consistent spatial pattern of highly aggregated distributions associated with various water levels. (c) The hot spots of the habitats formed multiple “sheet” belts centered on the “Lake Enclosed in Autumn” regions, while the cold spots indicate a spatial pattern of axial distributions. (d) The majority of the hot spots of the habitats were distributed in sub-lakes found in the southeast part of the Poyang Lake watershed and the Nanjishan and Wucheng nature reserves, while the cold spots were mainly distributed in the main channels of the basins of Poyang Lake. (e) The sustainable habitats were mainly distributed in the “Lake Enclosed in Autumn” regions and intensively aggregated in two national nature reserves. (f) Under conditions of extremely low to average water levels (5.3–11.46 m), an increase of water level causes a decrease of the stability and variety of the crane habitats and weakens the aggregation structure.

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“…In recent years, habitat research has focused on two perspectives. One is to evaluate the impact of the external environment or human activity on the habitat quality of individual species [ 26 , 27 , 28 , 29 ]. These studies first clarify the distribution range and characteristics of the target species and then analyze the threat factors that affect the habitat quality of the target species [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

“…For example, Giacomazzo et al studied changes in the quality of fish habitats in the Lake Saint-Pierre basin and showed that runoff from intensively cultivated land leads to deterioration of water quality and changes in aquatic vegetation abundance. Restoring aquatic vegetation and improving water quality are the fundamental ways to promote fish stock recovery [ 26 ]. Second, these studies conducted regional habitat quality assessment and its influencing factors, such as the impact of urban expansion on habitat quality and the impact of human activities [ 30 , 31 ], or land-use changes on habitats in nature reserves [ 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

How Human Activity Has Changed the Regional Habitat Quality in an Eco-Economic Zone: Evidence from Poyang Lake Eco-Economic Zone, China

Zhang

Xie

et al. 2020

IJERPH

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Human activities such as deforestation and urbanization have affected the regional habitat quality of the Poyang Lake area. To evaluate the evolution of habitat quality and its influencing factors in the area, we used Classification and Regression Trees (CART) to interpret the land-use status and used the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model to analyze the characteristics of changes in habitat quality in the Poyang Lake Eco-Economic Zone (PLEEZ) from 1988 to 2018. The results show that, from 1988 to 2018, land use in the PLEEZ underwent significant changes. The changes in land use led to a gradual increase in habitat degradation and a gradual decrease in habitat quality in the study area. Rapid urbanization notably decreased the habitat quality in the study area. However, at the same time, the ecological protection projects such as returning farmland to forests slowed the decline in habitat quality. Driven by these two factors, habitat quality in the PLEEZ gradually declined but the rate of its decline was suppressed. The findings of this study are of great significance for the coordinated development of social, economic, and ecological development in the PLEEZ and similar areas.

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Linking fisheries to land use: How anthropogenic inputs from the watershed shape fish habitat quality

Cited by 35 publications

References 64 publications

Recent Advancement of the Sensors for Monitoring the Water Quality Parameters in Smart Fisheries Farming

Recent Advancement of the Sensors for Monitoring the Water Quality Parameters in Smart Fisheries Farming

Spatiotemporal Variation of Siberian Crane Habitats and the Response to Water Level in Poyang Lake Wetland, China

How Human Activity Has Changed the Regional Habitat Quality in an Eco-Economic Zone: Evidence from Poyang Lake Eco-Economic Zone, China

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