Deriving a Bayesian Network to Assess the Retention Efficacy of Riparian Buffer Zones

Gericke, Andreas; Nguyen, Hong Hanh; Fischer, Peter; Kail, Jochem; Venohr, Markus

doi:10.3390/w12030617

Cited by 17 publications

(10 citation statements)

References 88 publications

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“…These results indicate that buffer width is less important compared to length, and woody buffers should be as long as possible to prevent the continuous heating in unshaded reaches, similar to the conclusions drawn by Stanford et al (2020). However, wider buffers up to 30 m are known to increase other functions like nutrient retention (Gericke et al, 2020; Sweeney & Newbold, 2014).…”

Section: Resultsmentioning

confidence: 99%

Woody buffer effects on water temperature: The role of spatial configuration and daily temperature fluctuations

Kail

Palt

Lorenz

et al. 2020

Hydrological Processes

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Water temperature is a key driver for riverine biota and strongly depends on shading by woody riparian vegetation in summer. While the general effects of shading on daily maximum water temperature T max are well understood, knowledge gaps on the role of the spatial configuration still exist. In this study, the effect of riparian buffer length, width, and canopy cover (percentage of buffer area covered by woody vegetation) on T max was investigated during summer baseflow using data measured in seven small lowland streams in western Germany (wetted width 0.8-3.7 m). The effect of buffer length on T max differed between downstream cooling and heating: T max approached cooler equilibrium conditions after a distance of 0.4 km (45 min travel-time) downstream of a sharp increase in canopy cover. In contrast, T max continued to rise downstream of a sharp decrease in canopy cover along the whole 1.6 km stream length investigated. The effect of woody vegetation on T max depended on buffer width, with changes in canopy cover in a 10 m wide buffer being a better predictor for changes in T max compared to a 30 m buffer. The effect of woody vegetation on T max was linearly related to canopy cover but also depended on daily temperature range T range , which itself was governed by cloudiness, upstream canopy cover, and season. The derived empirical relationship indicated that T max was reduced by −4.6 C and increased by +2.7 C downstream of a change from unshaded to fully shaded conditions and vice versa. This maximum effect was predicted for a 10 m wide buffer at sunny days in early summer, in streams with large diel fluctuations (large T range). Therefore, even narrow woody riparian buffers may substantially reduce the increase in T max due to climate change, especially in small shallow headwater streams with low baseflow discharge and large daily temperature fluctuations.

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Section: Resultsmentioning

confidence: 99%

Woody buffer effects on water temperature: The role of spatial configuration and daily temperature fluctuations

Kail

Palt

Lorenz

et al. 2020

Hydrological Processes

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“…However, the properties of riparian buffers that optimize ecological benefits and ecosystem services remain unresolved. For instance, the efficiency of a riparian buffer in intercepting pollutants may depend on several factors, such as the width, the vegetation type, soil texture and slope [38]. The diversity and densities of insects within the buffer strips may also depend on the vegetation type and width of buffers [25,35,39].…”

Section: Introductionmentioning

confidence: 99%

Small Patches of Riparian Woody Vegetation Enhance Biodiversity of Invertebrates

Forio

Troyer

Lock

et al. 2020

Water

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Patches of riparian woody vegetation potentially help mitigate environmental impacts of agriculture and safeguard biodiversity. We investigated the effects of riparian forest on invertebrate diversity in coupled stream-riparian networks using a case study in the Zwalm river basin (Flanders, Belgium). Agriculture is one of the main pressures in the basin and riparian forest is limited to a number of isolated patches. Our 32 study sites comprised nine unshaded “unbuffered” sites which were paired with nine shaded “buffered” sites on the same stream reach, along with five ‘least-disturbed’ sites and nine downstream sites. We sampled water chemistry, habitat characteristics and stream and riparian invertebrates (carabid beetles and spiders) at each site. Three methods were used to quantify riparian attributes at different spatial scales: a visually-assessed qualitative index, quantitative estimates of habitat categories in six rectangular plots (10 × 5 m) and geographic information system (GIS)-derived land cover data. We investigated relationships between invertebrates and riparian attributes at different scales with linear regression and redundancy analyses. Spiders and carabids were most associated with local riparian attributes. In contrast, aquatic macroinvertebrates were strongly influenced by the extent of riparian vegetation in a riparian band upstream (100–300 m). These findings demonstrate the value of quantifying GIS-based metrics of riparian cover over larger spatial scales into assessments of the efficacy of riparian management as a complement to more detailed local scale riparian assessments in situ. Our findings highlight the value of even small patches of riparian vegetation in an otherwise extensively disturbed landscape in supporting biodiversity of both terrestrial and freshwater invertebrates and emphasize the need to consider multiple spatial scales in riparian management strategies which aim to mitigate human impacts on biodiversity in stream-riparian networks.

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“…Bayesian networks (BN) have increasingly been applied in water management but not to estimate the efficacy of riparian buffer zones (RBZ). The methodical study of Gericke et al [18] aims at evaluating the first BN for predicting RBZ efficacy in retaining sediment and nutrients (dissolved, total, and particulate nitrogen and phosphorus) from widely available variables (width, vegetation, slope, soil texture, flow pathway, nutrient form). To evaluate the influence of the parent nodes and how the number of states affected the prediction errors, they used a predefined general BN structure, collected 580 published datasets from North America and Europe, and performed classification tree analyses and multiple 10-fold cross-validations of different BNs.…”

Section: Monitoring and Modelingmentioning

confidence: 99%

“…While the derived BNs could support or replace simple design guidelines, they are limited for more detailed predictions. More representative data on vegetation or additional nodes, such as preferential flow, would probably improve the predictive power [18].…”

Section: Monitoring and Modelingmentioning

confidence: 99%

Monitoring, Modeling and Management of Water Quality

Zessner

2021

Water

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In this special issue, we are able to present a selection of high-level contributions showing the manifold aspects of the monitoring, modeling, and management of water quality. Monitoring aspects range from cyanobacteria in water using spectrophotometry via wide-area water quality monitoring and exploiting unmanned surface vehicles, to using sentinel-2 satellites for the near-real-time evaluation of catastrophic floods. Modeling ranges from small scale approaches by deriving a Bayesian network for assessing the retention efficacy of riparian buffer zones, to national scales with a modification of the MONERIS (Modeling Nutrient Emissions in River Systems) nutrient emission model for a lowland country. Management is specifically addressed by lessons learned from the long-term management of a large (re)constructed wetland and the support of river basin management planning in the Danube River Basin.

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Deriving a Bayesian Network to Assess the Retention Efficacy of Riparian Buffer Zones

Cited by 17 publications

References 88 publications

Woody buffer effects on water temperature: The role of spatial configuration and daily temperature fluctuations

Woody buffer effects on water temperature: The role of spatial configuration and daily temperature fluctuations

Small Patches of Riparian Woody Vegetation Enhance Biodiversity of Invertebrates

Monitoring, Modeling and Management of Water Quality

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