Integrating river hydromorphology and water quality into ecological status modelling by artificial neural networks

Gebler, Daniel; Wiegleb, Gerhard; Szoszkiewicz, Krzysztof

doi:10.1016/j.watres.2018.04.016

Cited by 72 publications

(34 citation statements)

References 51 publications

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“…The MIR index was better suited for the evaluation of ecological status in Poland than foreign indicators; thus it was better adjusted to the local conditions. A stronger correlation between the MIR index and environment gradients in Polish rivers had already been indicated by other authors [51,52] but the current research makes it possible to evaluate the sources of the differences. Moreover, the importance of the selection of the species set and the estimation of indicator values was proven.…”

Section: Discussionsupporting

confidence: 55%

The Macrophyte Index for Rivers (MIR) as an Advantageous Approach to Running Water Assessment in Local Geographical Conditions

Szoszkiewicz

Jusik

Pietruczuk

et al. 2019

Water

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The Macrophyte Index for Rivers (MIR) was developed in 2007, and it was one of the first biological methods developed in Poland under the requirements of the Water Framework Directive to assess the ecological status of running waters. It is based on the quantitative and qualitative evaluation of 153 indicator taxa. The aim of this study was to evaluate the ability of the MIR method to detect trophic degradation in rivers and to compare its efficiency with other macrophyte metrics. Our investigation was based on 100 sites, representing a very clear gradient from near oligotrophic to eutrophic conditions. The results showed that macrophytes can be distinguished in terms of their ecological requirements for nutrient concentration in water, and this can be used to develop an effective system of freshwater assessment. The MIR was shown to be the indicator most strongly correlated with various forms of nutrients, and it was demonstrated that calibration of the macrophyte method to local biogeographical conditions resulted in greater effectiveness of the assessment method.

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Section: Discussionsupporting

confidence: 55%

The Macrophyte Index for Rivers (MIR) as an Advantageous Approach to Running Water Assessment in Local Geographical Conditions

Szoszkiewicz

Jusik

Pietruczuk

et al. 2019

Water

Self Cite

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“…To date, press-state-response (PSR) theory and circuit theory are the two conceptual frameworks most applied in extant literature [ 2 , 3 , 4 , 5 , 8 , 12 , 18 , 19 ]. Grounded in RSP theory, researchers first identify the pressure indicators allied with pressure-bearing indicators, then apply mathematical modeling and landscape ecology methods such as the artificial neural network model, entropy matter–element model, and grey model to calculate the weight of each indicator’s influence and integrate the weighted indicators to identify the ESP [ 8 , 18 , 20 , 21 , 22 ]. With respect to the studies based on circuit theory, researchers mainly follow the “ecological sources–ecological corridors–ecological nodes–ecological security pattern” paradigm, in which a series of ecological and spatial analytical approaches such as resistance surface construction, overlay analysis, and network analysis could be applied to achieve the construction of ESP [ 1 , 2 , 3 , 4 , 5 , 10 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Simulating Urban Growth Scenarios Based on Ecological Security Pattern: A Case Study in Quanzhou, China

Liu

Wei

Jia

2020

IJERPH

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In recent decades, the ecological security pattern (ESP) has drawn increasing scientific attention against the backdrop of rapid urbanization and worsening ecological environment. Despite numerous achievements in identifying and constructing the ecological security pattern, limited attention has been paid on applying ESP to predict urban growth. To bridge the research gap, this paper took Quanzhou, China as a study case and incorporated the identified ESP into an urban growth simulation with three distinct scenarios. Following the “ecological source–ecological corridor–ecological security pattern” paradigm, the ESP identification was carried out from four single aspects (i.e., water, geology, biodiversity, and recreation) into three levels (i.e., basic ESP, intermediate ESP, and optimal ESP). Grounded in an equally weighted superposition algorithm, the four single ESPs were combined as an integrated ESP (IESP) with three levels. Taking IESP as an exclusion element, urban growth simulation in 2030 was completed with thee SLEUTH model. Drawing on the three levels of IESP, our urban growth simulation contained three scenarios. In terms of urban sprawl distribution coupled with urban growth rate, an optimal urban growth scenario is recommended in this paper to balance both urban development and eco-environment protection. We argue that our ESP-based urban growth simulation results shed new light on predicting urban sprawl and have the potential to inform planners and policymakers to contribute to more environmentally-friendly urban development.

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“…Many mathematical models were applied to quantitative evaluation of sustainability, such as the matter-element model [18], the artificial neural network model [19], and the gray correlation model [20]. Agricultural sustainability as the evaluation object can be regarded as a composite whole with different aspects.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Agricultural Sustainability Based on the Water–Energy–Food Nexus in the Chenmengquan Irrigation District of China

et al. 2019

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Agriculture is one of the largest consumers of water and energy. This paper evaluated the agricultural sustainability of the Chenmengquan irrigation district of China based on the water–energy–food nexus. One objective weighting method and one subjective weighting method were integrated, based on game theory, and a matter–element model was constructed to evaluate agricultural sustainability for the research region. The sensitivity of each index to the evaluation class was also analyzed. The results showed that agricultural sustainability was moderate in 2006–2012 and high in 2012–2015. The indexes, which represent water-use efficiency and yield per unit area of crops, had higher sensitivities in the context of the present case study. The results also indicated that agricultural sustainability had a comparatively positive trend between 2012 and 2015, and that pesticide utilization was the most important issue for agricultural sustainability. The approach of using the combination of a weighting method, based upon game theory, and the use of the matter–element model provides a guide for the evaluation of agricultural sustainability.

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Integrating river hydromorphology and water quality into ecological status modelling by artificial neural networks

Cited by 72 publications

References 51 publications

The Macrophyte Index for Rivers (MIR) as an Advantageous Approach to Running Water Assessment in Local Geographical Conditions

The Macrophyte Index for Rivers (MIR) as an Advantageous Approach to Running Water Assessment in Local Geographical Conditions

Simulating Urban Growth Scenarios Based on Ecological Security Pattern: A Case Study in Quanzhou, China

Evaluating Agricultural Sustainability Based on the Water–Energy–Food Nexus in the Chenmengquan Irrigation District of China

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