Two decades of ecohydraulics: trends of an emerging interdiscipline

Casas‐Mulet, Roser; King, Elise; Hoogeveen, Doris; Duong, Long; Lakhanpal, Garima; Baldwin, Timothy; Stewardson, Michael J.; Webb, J. Angus

doi:10.1080/24705357.2016.1251296

Cited by 12 publications

(14 citation statements)

References 34 publications

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“…Here we define transdisciplinary research as that which crosses the discipline boundaries to develop new holistic conceptual, theoretical, methodological and translational advances that integrate and move beyond discipline-specific approaches. This differs from the meaning described by Casas-Mulet et al (2016) in this issue, which links transdisciplinarity with end-user engagement. We expect, therefore, that the journal will be read and contributed to by aquatic biologists and ecologists, civil and environmental engineers, natural resources managers, environmental scientists, and regulators and policy-makers.…”

Section: Editorialcontrasting

confidence: 63%

“…It is envisaged that this will include works that integrate the disciplines of ecology and biology with engineering hydraulics and fluid mechanics, fluvial geomorphology and hydrology, water resource management, and environmental and social sciences. Key topics will include, but not be limited to the ecohydraulic trilogy of environmental flows (including aquatic habitat modelling), habitat restoration, and fish migration and passage (note that the analysis conducted by Casas-Mulet et al 2016, published in this issue, has helped identify several sub-topic areas traditionally considered at the International Symposia on Ecohydraulics). The articles published in this first issue provide examples of several of the key topic areas described.…”

Section: Editorialmentioning

confidence: 99%

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Introducing the Journal of Ecohydraulics: fundamental and applied research on the road to transdisciplinarity

Kemp

Katopodis²

2016

Journal of Ecohydraulics

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Section: Editorialcontrasting

confidence: 63%

Section: Editorialmentioning

confidence: 99%

Introducing the Journal of Ecohydraulics: fundamental and applied research on the road to transdisciplinarity

Kemp

Katopodis²

2016

Journal of Ecohydraulics

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“…Since the industrial revolution, worldwide human impacts on landscapes and river systems have intensified significantly (Habersack et al, 2014). Therefore, one area of research that has grown steadily in the last few decades is that of ecohydraulics (Casas-Mulet et al, 2016). Ecohydraulics is principally addressed to study the relationship between hydraulics (e.g., water depth or flow velocity) and biota to perform environmental flow assessments.…”

mentioning

confidence: 99%

Revisiting probabilistic neural networks: a comparative study with support vector machines and the microhabitat suitability for the Eastern Iberian chub (Squalius valentinus)

Muñoz‐Mas

Fukuda

Pórtoles³

et al. 2018

Ecological Informatics

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Probabilistic Neural Networks (PNNs) and Support Vector Machines (SVMs) are flexible classification techniques suited to render trustworthy species distribution and habitat suitability models. Although several alternatives to improve PNNs' reliability and performance and/or to reduce computational costs exist, PNNs are currently not well recognised as SVMs because the SVMs were compared with standard PNNs. To rule out this idea, the microhabitat suitability for the Eastern Iberian chub (Squalius valentinus Doadrio & Carmona, 2006) was modelled with SVMs and four types of PNNs (homoscedastic, heteroscedastic, cluster and enhanced PNNs); all of them optimised with differential evolution. The fitness function and several performance criteria (correctly classified instances, true skill statistic, specificity and sensitivity) and partial dependence plots were used to assess respectively the performance and reliability of each habitat suitability model. Heteroscedastic and enhanced PNNs achieved the highest performance in every index but specificity. However, these two PNNs rendered ecologically unreliable partial dependence plots. Conversely, homoscedastic and cluster PNNs rendered ecologically reliable partial dependence plots. Thus, Eastern Iberian chub proved to be a eurytopic species, presenting the highest suitability in microhabitats with cover present, low flow velocity (approx. 0.3 m/s), intermediate depth (approx. 0.6 m) and fine gravel (64-256 mm). PNNs outperformed SVMs; thus, based on the results of the cluster PNN, which also showed high values of the performance criteria, we would advocate a combination of approaches (e.g., cluster & heteroscedastic or cluster & enhanced PNNs) to balance the trade-off between accuracy and reliability of habitat suitability models. 1 Introduction Humans have facilitated species extinctions, invasions, increased soil erosion, altered fire frequency and hydrology, and incited profound changes in primary productivity and other key biogeochemical and ecosystems processes (Ellis et al., 2010). Therefore, in the face of this global change, forecasting future ecosystem states, such as future species geographic distributions or land-use patterns, is currently a central priority in biogeographical and ecological sciences (Eberenz et al., 2016; Evans et al., 2016). As a consequence of this priority, scientists, conservationists and managers are repeatedly compelled to confront new problems requiring data analysis (LaDeau et al., 2016). Data analysis is largely classified into two broad categories: unsupervised and supervised (Olden et al., 2008). The former focus on revealing patterns and structures in data (e.g., finding groups of co-occurring species), such as the renowned Self-Organising Maps (SOM) (Kohonen, 1982) or the laureate t-Distributed Stochastic Neighbour Embedding (t-SNE) (Van Der Maaten and Hinton, 2008). Conversely, supervised approaches, such as decision trees (e.g., CART; Breiman et al., 1984) or the Generalised Additive Models (GAMs) (Hastie and Tibshirani, 1990),...

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“…Ecohydraulics combines core disciplines of hydrology, fluvial geomorphology, engineering, and ecology (Maddock et al, 2013a) to understand physical and ecological processes in rivers at a range of scales (Gosselin et al, 2019;Pasternack, 2019). While disciplines within Ecohydraulics interact at different multi-, inter-and transdisciplinary levels (see Casas-Mulet et al, 2016), here we adopt the more inclusive definition of interdisciplinarity by Hicks et al (2010): 'the production of research which crosses disciplinary boundaries', and is considered to cover all three levels of disciplinary interaction. As such, interdisciplinarity in Ecohydraulics is what gives it the potential to play a crucial role in the future management of freshwater ecosystems (Maddock et al, 2013c(Maddock et al, , 2013bNestler et al, 2016;Rice et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

How to strengthen interdisciplinarity in ecohydraulics? Outcomes from ISE 2018

Casas‐Mulet

Vanzo

Adeva‐Bustos

et al. 2020

Journal of Ecohydraulics

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Interdisciplinary approaches are needed to tackle complex environmental issues as freshwater ecosystems face unprecedented pressures globally. The emerging Ecohydraulics field of research should take steps towards developing true interdisciplinarity and embrace the transformation required as the world keeps changing in front of our eyes. This paper aims to contribute to the discussion on interdisciplinarity in Ecohydraulics and to shape its growth. This contribution builds upon previous research that identified the challenges and opportunities for early career researchers (ECRs) in Ecohydraulics and takes a step further on identifying key actions, actors, and implementation strategies that can strengthen interdisciplinarity. Based on an online questionnaire and a workshop involving over 150 early and established careers, we present a list of 20 prioritised actions that will help engage the research community towards specific goals and will result in increased interdisciplinary outcomes. While ECRs have taken the lead on creating this roadmap, its implementation should be a joint responsibility of both ECRs, established career scientists, groups, and institutions within Ecohydraulics. The list of identified actions and assigned responsibility should, therefore, be considered a conversation starter among the Ecohydraulics community on how to strengthen interdisciplinarity. This means that a continued revision of the here stated approaches will be required to in the future, as the field of research and its community progresses. With this contribution, we resume a critical reflection on where the Ecohydraulics field of research and community stands today and where efforts need to be invested in the long-term to consolidate its inherent interdisciplinarity.

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Two decades of ecohydraulics: trends of an emerging interdiscipline

Cited by 12 publications

References 34 publications

Introducing the Journal of Ecohydraulics: fundamental and applied research on the road to transdisciplinarity

Introducing the Journal of Ecohydraulics: fundamental and applied research on the road to transdisciplinarity

Revisiting probabilistic neural networks: a comparative study with support vector machines and the microhabitat suitability for the Eastern Iberian chub (Squalius valentinus)

How to strengthen interdisciplinarity in ecohydraulics? Outcomes from ISE 2018

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