An indicator approach for describing the spatial variability of artificial stream networks with regard to herbicide pollution in cultivated watersheds

Lagacherie, Philippe; Diot, O.; Domange, Nicolas; Gouy, Véronique; Floure, C.; Kao, C.; Moussa, Roger; Robbez-Masson, Jean-Marc; Szleper, V.

doi:10.1016/j.ecolind.2005.02.003

Cited by 35 publications

(22 citation statements)

References 10 publications

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“…Indeed, several components of ditches, including soil, sediments, vegetation, and litter, can provide efficient sorption sites for pesticides (Lagacherie et al 2006;Margoum et al 2006;Vallée et al 2014;Wan et al 2006). The relative efficiency of these sorption substrates, which is represented by the sorption coefficient (K f ), varies among pesticides.…”

Section: Pesticide Retention In Ditchesmentioning

confidence: 99%

“…Nevertheless, it has been demonstrated that after wildfire or field burning practices, the soil wettability (Bento-Gonçalves et al 2012;DeBano 2000) and available organic matter content (González-Pérez et al 2004;Yang and Sheng 2003a, b) are altered. If the mowed vegetation is not removed from ditches, it can considerably increase the litter layer and the available organic matter content of the ditch bed material (Lagacherie et al 2006;Margoum et al 2003Margoum et al , 2001. In a Mediterranean catchment, Levavasseur et al (2014) observed an earlier and greater increase of litter in mowed ditches relative to the litter accumulation due to natural plant senescence during autumn and winter.…”

Section: Impact Of Maintenance Operations On Ditch Characteristicsmentioning

confidence: 99%

“…The ditch characteristics of interest are either structural as shape parameters (length, slope, and cross section); connectivity between fields and ditches; ditch network topologies; bed and sidewall properties (soil texture and structure); or functional characteristics such as litter, vegetation nature, and covering (Herzon and Helenius 2008;Lagacherie et al 2006). Ditch maintenance is a combination in time of dredging, mowing, chemical weeding, and burning ( Fig.…”

Section: Introductionmentioning

confidence: 99%

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Managing ditches for agroecological engineering of landscape. A review

Dollinger¹,

Dagès²,

Bailly

et al. 2015

Agron. Sustain. Dev.

119

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Agriculture must now feed the planet with the lowest environmental impact. Landscape management is a means to protect natural resources from the adverse impacts. In particular, the adequate management of ditches could improve crop quality. Here, we review ditch design and maintenance. We found the following major points: (1) ditch networks have been primarily designed for waterlogging control and erosion prevention. Nonetheless, when properly managed, farm ditches provide other important ecosystem services, namely groundwater recharge, flood attenuation, water purification, or biodiversity conservation. (2) All ditch ecosystem services depend on many geochemical, geophysical, and biological processes, whose occurrence and intensity vary largely with ditch characteristics. (3) The major ruling characteristics are vegetative cover; ditch morphology; slope orientation; reach connections such as piped sections and weirs, soil, sediment and litter properties, biota, and biofilms; and network topology. (4) Ditch maintenance is an efficient engineering tool to optimize ecosystem services because several ditch characteristics change widely with ditch maintenance. For instance, maintenance operations, dredging, chemical weeding, and burning improve waterlogging and soil erosion control, but they are negative for biodiversity conservation. Mowing has low adverse effects on biodiversity conservation and water purification when mowing is performed at an adequate season. The effects of burning have been poorly investigated.

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Section: Pesticide Retention In Ditchesmentioning

confidence: 99%

Section: Impact Of Maintenance Operations On Ditch Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Managing ditches for agroecological engineering of landscape. A review

Dollinger¹,

Dagès²,

Bailly

et al. 2015

Agron. Sustain. Dev.

119

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“…Therefore, most environmental diagnoses and impact assessments at the catchment scale in agrarian areas now take these networks and their spatial variabilities into account through physical modelling (Lagacherie et al, 2010;Moussa et al, 2002;Varado, 2004). However, to date, these approaches have only been used for small areas where major investments were made in terrain surveys to map drainage networks (Lagacherie et al, 2006), which limits the 2 generalisation of these studies. Consequently, the extension of environmental agrarian landscape diagnoses to wider areas with a reasonable cost is largely dependent on our ability to map such linear elements.…”

Section: Introductionmentioning

confidence: 99%

“…When scaling up from an agricultural plot scale, the structure of drainage networks appears to be highly variable in space (Lagacherie et al, 2006). Therefore, most environmental diagnoses and impact assessments at the catchment scale in agrarian areas now take these networks and their spatial variabilities into account through physical modelling (Lagacherie et al, 2010;Moussa et al, 2002;Varado, 2004).…”

Section: Introductionmentioning

confidence: 99%

A spatial stochastic algorithm to reconstruct artificial drainage networks from incomplete network delineations

Bailly

Levavasseur²,

Lagacherie³

2011

International Journal of Applied Earth Observation and Geoinfor

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A spatial stochastic algorithm that aims to reconstruct an entire artificial drainage network of a cultivated landscape from disconnected reaches of the network is proposed here. This algorithm uses random network initialisation and a simulated annealing algorithm, both of which are based on random pruning or branching processes, to converge the multi-objective properties of the networks; the reconstructed networks are directed tree graphs, conform to a given cumulative length and maximise the proportion of reconnected reaches. This algorithm runs within a directed plot boundaries lattice, with the direction governed by elevation. The proposed algorithm was applied to a 2.6-km 2 catchment of a Languedocian vineyard in the south of France.The 24-km-long reconstructed networks maximised the reconnection of the reaches obtained either from a hydrographic database or remote sensing data processing. The distribution of the reconstructed networks compared to the actual networks was determined using specific topographical and topological metrics on the networks. The results show that adding data on disconnected * Corresponding author Email addresses: bailly@teledetection.fr (J.S. Bailly), levavasseur@supagro.inra.fr (F. Levavasseur), lagacherie@supagro.inra.fr (P. Lagacherie) Preprint submitted to International Journal of Applied Earth Observation and GeoinformationJune 7, 2011Author-produced version of the article published in International Journal of Applied Earth Observation and Geoinformation, 2011, 13(6) Doi : 10.1016Doi : 10. /j.jag.2011 reaches to constrain reconstruction, while increasing the accuracy of the reconstructed network topology, also adds biases to the geometry and topography of the reconstructed network. This network reconstruction method allows the mapping of uncertainties in the representation while integrating most of the available knowledge about the networks, including local data and global characteristics. It also permits the assessment of the benefits of the remote sensing partial detection process in drainage network mapping., 853-862. The original publication is available at http://www.sciencedirect.com/

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Drainage network detection and assessment of network storage capacity in agrarian landscape

Cazorzi

Fontana

Luca

et al. 2012

Hydrological Processes

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Drainage networks in agrarian landscape withinfloodplains constitute surface’s discontinuities that are expected to affect hydrological response during floods. Drainage network recognition and quanti fi cation of water storage capacity within channels are, therefore, crucial for watershed planning and management. These evaluations require accurate spatial information for the area of interest and in most cases, when studying large catchments, broad datasets of ditches locations and descriptions are not available. In order to characterize drainage networks for large areas, the availability of high resolution topography derived by airborne laser scanner (LiDAR) represents a new and effective tool. Nowadays LiDAR DTMs covering large areas are readily available for public authorities, and there is a greater and more widespread interest in the application of such information for the development of automated methods aimed at solving geomorphological and hydrological problems. While LiDAR DTMs reliability in steep landscape has been proven by several recent studies, only few researches have been conducted to take into account the effectiveness of these data in agrarian low relief landscapes. The goal of this research is to propose a semi-automatic approach based on a LiDAR DTM to (1) detect drainage networks in agrarian/ fl oodplain contexts, and (2) to estimate some of the network summary statistics (network length, width, drainage density and storage capacity). The procedure is applied in two typical alluvial-plain areas in the North East of Italy, and tested comparing automatically derived network with surveyed ones. The results underline the capability of high resolution DTMs for drainage network detection and characterization in the context of agrarian landscapes within floodplains, opening at the same time new challenges to evaluate some hydrological processes in these areas

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An indicator approach for describing the spatial variability of artificial stream networks with regard to herbicide pollution in cultivated watersheds

Cited by 35 publications

References 10 publications

Managing ditches for agroecological engineering of landscape. A review

Managing ditches for agroecological engineering of landscape. A review

A spatial stochastic algorithm to reconstruct artificial drainage networks from incomplete network delineations

Drainage network detection and assessment of network storage capacity in agrarian landscape

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