High resolution land cover data improve understanding of mechanistic linkages with stream integrity

Tormos, T.; Looy, Kris Van; Villeneuve, Bertrand; Kosuth, Pascal; Souchon, Yves

doi:10.1111/fwb.12377

Cited by 7 publications

(2 citation statements)

References 71 publications

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“…Furthermore, vegetation heights can also be obtained at the catchment scale by photogrammetric techniques (eg. Michez et al, 2017), while satellite and airborne high resolution imagery can provide accurate location of riparian vegetation (Tormos et al, 2014). These new techniques could potentially be valuable for improving future river temperature modelling efforts.…”

Section: Implications Shading Methods Limitations and Perspectivesmentioning

confidence: 99%

Improving representation of riparian vegetation shading in a regional stream temperature model using LiDAR data

Loicq

Moatar

Jullian

et al. 2018

Science of The Total Environment

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Modelling river temperature at the catchment scale is needed to understand how aquatic communities may adapt to current and projected climate change. In small and medium rivers, riparian vegetation can greatly reduce maximum water temperature by providing shade. It is thus important that river temperature models are able to correctly characterise the impact of this riparian shading. In this study, we describe the use of a spatially-explicit method using LiDAR-derived data for computing the riparian shading on direct and diffuse solar radiation. The resulting data are used in the T-NET one-dimensional stream temperature model to simulate water temperature from August 2007 to July 2014 for 270km of the Loir River, an indirect tributary of the Loire River (France). Validation is achieved with 4 temperature monitoring stations spread along the Loir River. The vegetation characterised with the LiDAR approach provides a cooling effect on maximum daily temperature (T) ranging from 3.0°C (upstream) to 1.3°C (downstream) in late August 2009. Compared to two other riparian shading routines that are less computationally-intensive, the use of our LiDAR-based methodology improves the bias of T simulated by the T-NET model by 0.62°C on average between April and September. However, difference between the shading routines reaches up to 2°C (monthly average) at the upstream-most station. Standard deviation of errors on T is not improved. Computing the impact of riparian vegetation at the hourly timescale using reach-averaged parameters provides results close to the LiDAR-based approach, as long as it is supplied with accurate vegetation cover data. Improving the quality of riparian vegetation data should therefore be a priority to increase the accuracy of stream temperature modelling at the regional scale.

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Section: Implications Shading Methods Limitations and Perspectivesmentioning

confidence: 99%

Improving representation of riparian vegetation shading in a regional stream temperature model using LiDAR data

Loicq

Moatar

Jullian

et al. 2018

Science of The Total Environment

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“…More specifically, we compare two processes: in-stream and riparian retention processes of nutrient control by river management. To answer the hypotheses cited above, a scale-sensitive finegrained analysis to the continuity of riparian (forest) cover is needed to identify and to infer physical and biotic responses (Tormos et al 2014a) and associated ecosystem functions (Tormos et al 2014b). For this purpose, geospatial data within a GIS are analysed to characterize the physical nature of the riparian zones with a focus on riparian forests.…”

Section: Introductionmentioning

confidence: 99%

Analyzing riparian zone ecosystem services bundles to instruct river management

Looy

Tormos

Souchon

et al. 2017

International Journal of Biodiversity Science, Ecosystem Servic

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The ecosystem service framework is now well accepted for focussing management strategies to preserve and restore ecosystems. Its implementation remains challenging, however, due to the environment's complexity and dynamics that interfere with ecosystems' ability to provide the services. Here, we question whether we can show where and how to intervene in riparian corridors to restore specific ecosystem services without endangering others. Specific hypotheses in this context are for the spatial aggregation of ecosystem services delivered by riparian corridors with respect to naturalness (1), to the existence of bundles of ecosystem services (2), and finally for the scale sensitivity of this congruence (3). Within a Geographical Information System framework, we analyse the capacity of riparian corridors to provide ecosystem services over three river basins in the Bresse region (France) based on high-resolution data of the riparian corridor hydromorphology and land use. Specifically, we compare the capacity to provide two services: in-stream water purification and riparian retention of nutrients that are critical goals for river management and rehabilitation strategies. We observe little spatial association and high spatial variability for the two emphasized ecosystem services. Surprisingly, no congruence of ecosystem services with riparian corridor naturalness is present. The absence of associations between ecosystem services and their spatial variability will oblige environmental managers to identify underpinning environmental processes and patterns at local scales. In conclusion, we plead for fine-grained multifunctional assessment of ecosystems' capacity to deliver services, especially in environments such as river corridors that exhibit high environmental heterogeneity.

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Effects of Best Management Practice on Ecological Condition: Does Location Matter?

Holmes

Armanini

Yates

2016

Environmental Management

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Best management practices (BMPs) are increasingly being promoted as a solution to the potentially adverse effects agriculture can have on aquatic systems. However, the ability of BMPs to improve riverine systems continues to be questioned due to equivocal empirical evidence linking BMP use with improved stream conditions, particularly in regard to ecological conditions. Explicitly viewing BMP location in relation to hydrological pathways may, however, assist in establishing stronger ecological linkages. The goal of this study was to assess the association between water chemistry, benthic macroinvertebrate community structure, and the number and location of agricultural BMPs in a catchment. Macroinvertebrate and water samples were collected in 30 small (<12 km(2)) catchments exhibiting gradients of BMP use and location in the Grand River Watershed, Southern Ontario, Canada. Stepwise regression analysis revealed that concentrations of most stream nutrients declined in association with greater numbers of BMPs and particularly when BMPs were located in hydrologically connected areas. However, BMPs were significantly associated with only one metric (%EPT) describing macroinvertebrate community structure. Furthermore, variance partitioning analysis indicated that less than 5% of the among site variation in the macroinvertebrate community could be attributed to BMPs. Overall, the implemented BMPs appear to be achieving water quality improvement goals but spatial targeting of specific BMP types may allow management agencies to attain further water quality improvements more efficiently. Mitigation and rehabilitation measures beyond the BMPs assessed in this study may be required to meet goals of enhanced ecological condition.

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High resolution land cover data improve understanding of mechanistic linkages with stream integrity

Cited by 7 publications

References 71 publications

Improving representation of riparian vegetation shading in a regional stream temperature model using LiDAR data

Improving representation of riparian vegetation shading in a regional stream temperature model using LiDAR data

Analyzing riparian zone ecosystem services bundles to instruct river management

Effects of Best Management Practice on Ecological Condition: Does Location Matter?

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