Testing a climato-topographic index for predicting wetlands distribution along an European climate gradient

Mérot, Philippe; Squividant, Hervé; Aurousseau, Pierre; Hefting, Mariet M.; Burt, T. P.; Maître, V.; Kruk, Marek; Butturini, Andrea; Thenail, Claudine; Viaud, Valérie

doi:10.1016/s0304-3800(02)00387-3

Cited by 97 publications

(74 citation statements)

References 26 publications

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“…At such scales the contour interval is 5 m, and riparian areas with less than 5 m difference in elevation between the upland and riparian area cannot be delineated. Indices that combine surface topographical information with local climatic data, soil maps or groundwater table maps are often used to delineate riparian zones and wetlands (Beven and Kirkby, 1979;Merot et al, 2003;Rodhe and Seibert, 1999;Andersson and Nyberg, 2009). While these indices are generally suitable for areas with hilly topography and shallow soils overlying confined layers, they have shortcomings in more gently sloping terrain (Buttle et al, 2004;Buttle et al, 2001).…”

Section: Biogeochemistry In Riparian Zones and Delivery To Streamsmentioning

confidence: 99%

Nutrient dynamics, transfer and retention along the aquatic continuum from land to ocean: towards integration of ecological and biogeochemical models

et al. 2013

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Abstract. In river basins, soils, groundwater, riparian zones and floodplains, streams, rivers, lakes and reservoirs act as successive filters in which the hydrology, ecology and biogeochemical processing are strongly coupled and together act to retain a significant fraction of the nutrients transported. This paper compares existing river ecology concepts with current approaches to describe river biogeochemistry, and assesses the value of these concepts and approaches for understanding the impacts of interacting global change disturbances on river biogeochemistry. Through merging perspectives, concepts, and modeling techniques, we propose integrated model approaches that encompass both aquatic and terrestrial components in heterogeneous landscapes. In this model framework, existing ecological and biogeochemical concepts are extended with a balanced approach for assessing nutrient and sediment delivery, on the one hand, and nutrient in-stream retention on the other hand.

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Section: Biogeochemistry In Riparian Zones and Delivery To Streamsmentioning

confidence: 99%

Nutrient dynamics, transfer and retention along the aquatic continuum from land to ocean: towards integration of ecological and biogeochemical models

et al. 2013

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“…As a matter of fact, the local slope substitution with the downhill element led us to take into account both down-slope and up-slope. Moreover, it has been shown that CTI has the higher potential for determining the position and the general extent of wetlands in a reliable manner, even if it decreases when the soil has a highly heterogeneous permeability (Merot et al, 2003). In addition, maximum TI values extend over larger areas than the CTI, while the minimum values almost coincide.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, the TI was introduced (Beven et al, 1979;Beven, 1986) where Vr is the volume of effective annual rainfall, which is calculated by multiplying drainage area with the mean annual effective rainfall depth. Merot et al (2003) determinated the mean annual effective rainfall as:…”

Section: Suitable Indices To Predict Wetlands Distributionmentioning

confidence: 99%

“…It has been shown that this index is capable of predicting wetlands in a reliable manner without calibration in most cases (Merot et al, 2003) except for highly heterogeneous permeability soils that did not characterize the study area.…”

Section: Suitable Indices To Predict Wetlands Distributionmentioning

confidence: 99%

“…The CTI is more robust and realistic than TI according to Merot et al (2003), but to evaluate it for the study area, it was necessary to know both the effective and mean annual rainfall, temperature and evapotranspiration data over the area basin and slope. Therefore, the precipitation records from neighbouring meteorological stations were analysed and used to compute the effective annual rainfall, the mean annual rainfall and evapotranspiration.…”

Section: Suitable Indices To Predict Wetlands Distributionmentioning

confidence: 99%

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Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models

et al. 2014

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Abstract. The accumulation of heavy metals in agricultural soils is a serious environmental problem. The Campania region in southern Italy has higher levels of cancer risk, presumably due to the accumulation of geogenic and anthropogenic soil pollutants, some of which have been incorporated into organic matter. The aim of this study was to introduce and test an innovative, field-applicable methodology to detect heavy metal accumulation using drone-based photogrammetry and microrill network modelling, specifically to generate wetlands wetlands prediction indices normally applied at large catchment scales, such as a large geographic basin. The processing of aerial photos taken using a hexacopter equipped with fifth-generation software for photogrammetry allowed the generation of a digital elevation model (DEM) with a resolution as high as 30 mm. Not only this provided a high potential for the study of micro-rill processes, but it was also useful for testing and comparing the capability of the topographic index (TI) and the clima-topographic index (CTI) to predict heavy metal sedimentation points at scales from 0.1 to 10 ha. Our results indicate that the TI and CTI indices can be used to predict points of heavy metal accumulation for small field catchments.

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Flow network derivation from a high resolution DEM in a low relief, agrarian landscape

Schwanghart

Groom

Kuhn

et al. 2013

Earth Surf Processes Landf

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Digital flow networks derived from digital elevation models (DEMs) sensitively react to errors due to measurement, data processing and data representation. Since high‐resolution DEMs are increasingly used in geomorphological and hydrological research, automated and semi‐automated procedures to reduce the impact of such errors on flow networks are required. One such technique is stream‐carving, a hydrological conditioning technique to ensure drainage connectivity in DEMs towards the DEM edges. Here we test and modify a state‐of‐the‐art carving algorithm for flow network derivation in a low‐relief, agricultural landscape characterized by a large number of spurious, topographic depressions. Our results show that the investigated algorithm reconstructs a benchmark network insufficiently in terms of carving energy, distance and a topological network measure. The modification to the algorithm that performed best, combines the least‐cost auxiliary topography (LCAT) carving with a constrained breaching algorithm that explicitly takes automatically identified channel locations into account. We applied our methods to a low relief landscape, but the results can be transferred to flow network derivation of DEMs in moderate to mountainous relief in situations where the valley bottom is broad and flat and precise derivations of the flow networks are needed. Copyright © 2013 John Wiley & Sons, Ltd.

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Testing a climato-topographic index for predicting wetlands distribution along an European climate gradient

Cited by 97 publications

References 26 publications

Nutrient dynamics, transfer and retention along the aquatic continuum from land to ocean: towards integration of ecological and biogeochemical models

Nutrient dynamics, transfer and retention along the aquatic continuum from land to ocean: towards integration of ecological and biogeochemical models

Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models

Flow network derivation from a high resolution DEM in a low relief, agrarian landscape

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