Raising surface water levels in peat areas with dairy farming

Vos, Jeroen; Bakel, P.J.T. van; Hoving, I.E.; Smidt, R.A.

doi:10.1016/j.agwat.2010.06.017

Cited by 10 publications

(6 citation statements)

References 10 publications

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“…The idea is to provide a buffer for the decrease in water levels in spring and early summer. Yet from the farmers' point of view, this measure increases the risk of yield losses and low forage quality of the growing grass due to increasing periods with excessive soil moisture (de Vos, van Bakel, Hoving, & Conijn, 2006;de Vos et al, 2010). Further, it has been claimed that water consumption might rise.…”

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confidence: 99%

Impact of groundwater regimes on water balance components of a site with a shallow water table

Dietrich

Kaiser

2017

Ecohydrology

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The management of shallow water table sites is often the subject of discussion between different interest groups, the most controversial topic being the different target groundwater levels. A good level of knowledge about the effects of the different water levels on the water budget components is a precondition for the development of compromises in well‐balanced water resource management. We used groundwater lysimeters to investigate the impact of different water level regimes on the water balance. The lysimeters were installed directly within a typical shallow water table site and had a specially designed system to control the lower boundary condition. This enabled us to simulate different management options in a realistic way. Our results show increasing evapotranspiration with higher water levels but only if the vegetation is adapted to these conditions. Adaptation may take place within a few years of higher water levels. High water levels in spring are linked to increased water storage. This can help to compensate for the higher evapotranspiration for some weeks but not for the entire season. The meteorological conditions have a large short‐term impact on the water budget, which is difficult to compensate for using long‐term water management strategies or slow‐responding vegetation development. Our results underline the complex ecohydrological dependencies in such site conditions and could be an important basis for the development or improvement of ecohydrological models.

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confidence: 99%

Impact of groundwater regimes on water balance components of a site with a shallow water table

Dietrich

Kaiser

2017

Ecohydrology

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“…Each tile was stored in raster format, had an area of 100 × 100 km 2 , and was acquired in spatial resolutions of 10 m, 20 m and 60 m, with 13 spectral bands in total ranging from RGB (visual color bands) to short wave infrared (SWIR) [37]. The second data source was the Basisregistratie Gewaspercelen (BRP), a database that contains all attributes including polygon geometry of all agricultural parcels across the Netherlands [38]. The BRP is provided by Dutch geodata-portal Publieke dienstverlening op de kaart (PDOK), and is updated on a yearly basis [39].…”

Section: Development Of the Sen2grass Processing Chainmentioning

confidence: 99%

Sen2Grass: A Cloud-Based Solution to Generate Field-Specific Grassland Information Derived from Sentinel-2 Imagery

et al. 2021

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Grasslands are important for their ecological values and for agricultural activities such as livestock production worldwide. Efficient grassland management is vital to these values and activities, and remote sensing technologies are increasingly being used to characterize the spatiotemporal variation of grasslands to support those management practices. For this study, Sentinel-2 satellite imagery was used as an input to develop an open-source and automated monitoring system (Sen2Grass) to gain field-specific grassland information on the national and regional level for any given time range as of January 2016. This system was implemented in a cloud-computing platform (StellaSpark Nexus) designed to process large geospatial data streams from a variety of sources and was tested for a number of parcels from the Haus Riswick experimental farm in Germany. Despite outliers due to fluctuating weather conditions, vegetation index time series suggested four distinct growing cycles per growing season. Established relationships between vegetation indices and grassland yield showed poor to moderate positive trends, implying that vegetation indices could be a potential predictor for grassland biomass and chlorophyll content. However, the inclusion of larger and additional datasets such as Sentinel-1 imagery could be beneficial to developing more robust prediction models and for automatic detection of mowing events for grasslands.

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“…Because we cannot measure water table depths everywhere and all the time we use temporal and spatial interpolation and aggregation methods to characterize the fluctuating water table depths (e.g. Van Heesen 1970; Finke et al 2004;De Vos et al 2010;). All these methods have their pros and cons, which one is best depends very much on the objective(s) of the research and the availability of data.…”

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confidence: 99%

Review of the methodologies used to derive groundwater characteristics for a specific area in The Netherlands

et al. 2018

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In this paper, we analyze the methods that are used in The Netherlands to upscale in-situ groundwater measurements in time and in space, and how the selected combinations of upscaling methods affect the resulting groundwater characteristic. In The Netherlands, a three-step approach is used to obtain groundwater characteristics for a specific area: (1) in-situ monitoring of the water table depth; (2) temporal upscaling; and (3) spatial interpolation and aggregation. The three-step approach is, however, not standardized, but a combination of the following methods is used: (i) four methods to measure/monitor the phreatic water table; (ii) four methods for temporal aggregation; and (iii) four methods for spatial interpolation and/or aggregation. Over the past sixty years, several combinations of these methods have been used. Our review shows that the use of these different combinations in the approach to measure and interpret water table depths has resulted in significant systematic differences in the corresponding groundwater characteristics and that there are many sources of potential error. Error in the in-situ measurement of the water table depth can be as high as 1 meter. Errors in the temporal aggregation are in the range of 10 to 20 cm and for the spatial interpolation between 20 to 50 cm. We show that there has been no systematic assessment of how these errors influence the resulting groundwater characterization. Thus, we cannot answer the question of whether drought stress in The Netherlands is under-or overestimated. Based on these findings we give recommendations for a systematic approach to groundwater characterizations studies that can minimize the impact of errors.

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Raising surface water levels in peat areas with dairy farming

Cited by 10 publications

References 10 publications

Impact of groundwater regimes on water balance components of a site with a shallow water table

Impact of groundwater regimes on water balance components of a site with a shallow water table

Sen2Grass: A Cloud-Based Solution to Generate Field-Specific Grassland Information Derived from Sentinel-2 Imagery

Review of the methodologies used to derive groundwater characteristics for a specific area in The Netherlands

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