Analysis of regional zoobenthos status in the Huai River Basin, China, using two new ecological niche clustering approaches

Zhao, Chang; Sun, Changlei; Liu, Changming; Xia, Jun; Ye, Gang; Liu, Xiaomang; Zhang, Dan; Dong, B.; Sobkowiak, Leszek

doi:10.1002/eco.1324

Cited by 20 publications

(2 citation statements)

References 54 publications

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“…Zoobenthos species are sensitive to environmental change and are therefore important indicator for water pollution (Zhao et al, ). These factors have led to the widespread use of invertebrate species in the evaluation of the health of water ecosystems and in having a guiding role in the protection, utilization, and management of freshwater habitats (Zhao et al, ).…”

Section: Introductionmentioning

confidence: 99%

Hydrology and water quality factors driving spatiotemporal analyses of zoobenthos in a pilot city in China

et al. 2020

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In water ecosystems, zoobenthos are one of the most important communities. Maintenance of healthy zoobenthos community is essential for water ecosystems remediation. Understanding the hydrology and water quality factors that drive the variation of zoobenthos is the priority for water ecosystems remediation. The present study used canonical correlation analysis to select the main habitat factors affecting zoobenthic communities based on field sampling of the river zoobenthos in the first pilot city for the construction of civilized water ecosystems in China—Jinan City. In addition, analysis was performed based on geoscience methods of Global Moran's I and Anselin local Moran's I spatial autocorrelation of main habitats factors. The results show that the key water quality physical factors affecting Jinan City zoobenthic communities were pH and conductivity; the key water quality chemical factors were K+, Na+, and permanganate index; and the key hydrological factor was water depth. The sodium ions and conductivity exhibited significant spatial autocorrelation in all seasons. And the regions exhibiting spatial autocorrelation were generally stable. Moreover, the characteristics of benthic animals are closely related to human activities of domestic sewage discharge in the central and agricultural activities in northern parts of the study area. All methods in this paper can be extended to the researches on other communities, for example, algae, zooplankton, and fish in water ecosystems. The methods and results in the paper can provide significant references for managers to protect and restore degraded water ecosystems in global water.

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Section: Introductionmentioning

confidence: 99%

Hydrology and water quality factors driving spatiotemporal analyses of zoobenthos in a pilot city in China

et al. 2020

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“…Thus, agricultural production in the basin is critical for the food security of China. However, myriad water problems are occurring in the basin, such as flood and drought hazards, high water pollution and aquatic ecological degradation (Zhang et al, 2010;Zhao et al, 2014). And the basin is subject to floods and droughts with a recurrence frequency of 4 years on average (Yan et al, 2013;Chen et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Entropy‐based spatiotemporal patterns of precipitation regimes in the Huai River basin, China

Qiang

Zheng

Singh

et al. 2015

Intl Journal of Climatology

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Spatiotemporal patterns of precipitation regimes in terms of precipitation amount and number of precipitation days at different time scales are investigated using the entropy-based methodologies in the Huai River basin, China. Trends of precipitation variability are quantitatively evaluated using the modified Mann-Kendall trend test method. Correlations between the largest 7-day precipitation amount (R × 7day) and precipitation variability within 1 year are also analysed. Results indicate the following: (1) there is increasing nonuniformity of annual precipitation amount and annual precipitation days from south to north in the Huai River basin, indicating larger precipitation variability in the northern parts. Transition of precipitation changes is evident in the basin which is reflected by decreasing precipitation variability in the north and increasing precipitation variability in the south. (2) The disorder indices (DIs) exhibit variations at different time scales. In general, precipitation variability is larger at shorter time scales, such as daily, and is smaller at longer time scales, such as annual. (3) Significant relations are identified between the DI and extreme precipitation events, i.e. significant relations between apportionment DI and the largest 7-day precipitation amount and it is particularly the case in the central and southwestern parts. Thus, it can be said that higher precipitation variability is due to higher frequency of extreme precipitation regimes. Results of this study are of practical significance for planning and management of water resources and agricultural irrigation and agricultural activities during climate change and particularly for enhancement of measures for mitigation of consequences of climate change.

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Determination of priority areas and principal environmental factors for water ecosystem health remediation

et al. 2019

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Globally, the deterioration of aquatic ecosystems has attracted wide concentrations of scholars and governments, and how to wisely remediate the damaged ecosystem is a hot issue. Determination of prior areas is critical for ecosystem remediation. However, there are very few systematically feasible methods available for comprehensively addressing the issue, and consequently, the benefits of water ecosystem remediation projects are reduced. Therefore, this paper proposes a framework for determining priority areas based on phytoplankton response to environmental factors. Phytoplankton constitute the main component of global aquatic biomes and water blooms. The effects of water ecosystem remediation projects are highly related to phytoplankton. First, we identified the dominant species of phytoplankton using a dominance accumulation model. Then, we determined the main environmental factors of phytoplankton using detrended correspondence analysis and canonical correspondence analysis. Afterwards, we calculated the adaptability of a single species to all principal environmental factors and the responsiveness of all dominant species to a single environmental factor using methods of integrated habitat suitability index and multispecies‐based habitat suitability index. On the basis of these results, we finally developed a new model of the suitability of aquatic biomes to habitat factors (IHSIA) whereby to determine the priority areas and the principal environmental factors by time–space coupling analysis. We applied the method to Jinan, a pilot city for the construction of a civilized ecological city in China. The results indicated that waters in urban areas are priority areas for remediation; principal environmental factors in both the whole study area and the priority areas for phytoplankton are NH3‐N, water temperature, total phosphorus, and dissolved oxygen where the NH3‐N is the most urgent environmental factor to be remediated in the study area. Reducing the concentration of NH3‐N can facilitate phytoplankton biome remediation. We found that dominant phytoplankton species can reflect the actual status of phytoplankton populations and can provide important reference data for global aquatic life research; space–time scale is an important factor in selecting principal environmental factors; limiting environmental factors that are poorly adaptable to dominant species could help provide a new path for water bloom prevention; the newly proposed model IHSIA can make the ecological environment remediation more objective. These results can help water managers reduce the scale of phytoplankton biomes by adjusting the environmental factors. The presented framework can provide new ways for water bloom prevention and can serve as the theoretical and scientific basis for the high success rate of water ecosystem restoration projects across the world.

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Analysis of regional zoobenthos status in the Huai River Basin, China, using two new ecological niche clustering approaches

Cited by 20 publications

References 54 publications

Hydrology and water quality factors driving spatiotemporal analyses of zoobenthos in a pilot city in China

Hydrology and water quality factors driving spatiotemporal analyses of zoobenthos in a pilot city in China

Entropy‐based spatiotemporal patterns of precipitation regimes in the Huai River basin, China

Determination of priority areas and principal environmental factors for water ecosystem health remediation

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