Ground cover and leaf area index relationship in a grass, legume and crucifer crop

Ramírez-García, Javier; Almendros, Patricia; Quemada, Miguel

doi:10.17221/195/2012-pse

Cited by 56 publications

(39 citation statements)

References 16 publications

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“…In Skaryszewski Park the correlation coefficient between LAI and leaves coverage was equal to 0.94 and, between LAI and sward height it was equal to 0.95. According to Lambert et al (1999) and Ramirez-Garcia et al (2012) LAI value for vascular plant species could be affected by: number of tillers, number of leaves per tiller and average area of leaves.…”

Section: Resultsmentioning

confidence: 99%

The effect of light availability on leaf area index, biomass production and plant species composition of park grasslands in Warsaw

Dąbrowski¹,

Pawluśkiewicz²,

Kalaji³

et al. 2013

PLANT SOIL ENVIRON

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How light conditions affect development of park grasslands is a question that has not been satisfactory addressed. The aim of this study was therefore determination of the level to which unfavorable light conditions influence grassy parks area and relationships between parameters which determine state of turf grasses. Researches were conducted in two parks in Warsaw, in various light conditions and included measurement of: leaf density, sward height, leaf area index (LAI), and botanical composition of the communities. The leaf density of shaded areas did not exceed 70%. LAI value varied from 0.5 to 0.9-fold lower than in the areas in half-shade and in sun. The participation of basic lawn species at Skaryszewski Park was higher under shade, while at Łazienki Królewskie was higher in full-sunlight areas. The state of tested grassy areas in limited solar radiation does not satisfy the requirements of recreational and representational functions. The development processes of vegetation coverage were inhibited at the sites of lower solar radiation. LAI was influenced by both leaf coverage and sward height. Agrostis stolonifera and Poa trivialis may be recommended to create grass areas under limited solar radiation.

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Section: Resultsmentioning

confidence: 99%

The effect of light availability on leaf area index, biomass production and plant species composition of park grasslands in Warsaw

Dąbrowski¹,

Pawluśkiewicz²,

Kalaji³

et al. 2013

PLANT SOIL ENVIRON

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“…When the soil is covered by some dead residue, the transpiration is equal to 0 and the evaporation is calculated for the bare soil but multiplied by the fraction of soil that is not covered. The soil cover fraction was obtained from the LAI and corrected following 25 Ramirez-Garcia et al (2012).…”

Section: Wave Modelmentioning

confidence: 99%

Assessing the cover crop effect on soil hydraulic properties by inverse modelling in a 10-year field trial

Gabriel

Quemada

Martín‐Lammerding

et al. 2017

Preprint

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Abstract. Cover cropping in agriculture is expected to enhance many agricultural and ecosystems functions and services. Yet, few studies are available allowing to evaluate the impact of cover cropping on the long term change of soil hydrologic 10 functions. We assessed the long term change of the soil hydraulic properties due to cover cropping by means of a 10-year field experiment. We monitored continuously soil water content in non cover cropped and cover cropped fields by means of capacitance probes. We subsequently determined the hydraulic properties by inverting the soil hydrological model WAVE, using the time series of the 10 year monitoring data in the object function. We observed two main impacts, each having their own time dynamics. First, we observed an initial compaction as a result of the minimum tillage. This initial negative effect 15 was followed by a more positive cover crop effect. The positive cover crop effect consisted in an increase of the soil microand macro-porosity, improving the structure. This resulted in a larger soil water retention capacity. This latter improvement was mainly observed below 20 cm, and mostly in the soil layer between 40 and 80 cm depth. This study shows that the expected cover crop competition for water with the main crop can be compensated by an improvement of the water retention in the intermediate layers of the soil profile. This may enhance the hydrologic functions of agricultural soils in arid and semiarid 20 regions which often are constrained by water stress.

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“…Concerning the herbaceous vegetation, Gosa, A.G. et al (2007) reported LAI between 0.7 and 4.5, while Ramiréz- García, J. et al (2012) summarized LAI of meadows between 2 and 3. For higher vegetation, LAI between 1.5 and 5.7 is reported for shrubs and between 4.5 and 10.6 for forests (Gosa, A.G. et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Leaf area index in a forested mountain catchment

2018

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Leaf area index (LAI) belongs among the catchment characteristics widely used in hydrological models but still associated with great uncertainties. In a mountain forest catchment, the leaf area affects retention and evapotranspiration loss, and it could be significantly modified by forestry practices. In this study, LAI in mature stands of Norway spruce (Picea abies) and European beech (Fagus sylvatica) was analysed in headwater catchments of the Jizera Mountains (Czech Republic) between 2012 and 2016. A comparison evaluation of LAI in harvested site with dominant herbaceous vegetation was taken into account by applying direct ground investigation what was compared with hemispherical canopy photography (Gap light analyser GLA-V2) and satellite remote sensing (Sentinel-2 mission). While the direct ground measurement includes only the foliage (leaves or needles), the Gap light analysis is affected by trunks and branches, and the remote sensing techniques by herbaceous understory. The results of the Gap light analyser underestimated the ground based LAI values by 52-76 per cent, and satellite interpretations by 29-73 per cent. The remote sensing is capable to provide effective information on the distribution of LAI within the time and space. However, in a catchment scale, the satellite detection underestimated average LAI values approx. by 42-62 per cent. Changes in the observed rainfall interception reflected well the LAI variation.

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Ground cover and leaf area index relationship in a grass, legume and crucifer crop

Cited by 56 publications

References 16 publications

The effect of light availability on leaf area index, biomass production and plant species composition of park grasslands in Warsaw

The effect of light availability on leaf area index, biomass production and plant species composition of park grasslands in Warsaw

Assessing the cover crop effect on soil hydraulic properties by inverse modelling in a 10-year field trial

Leaf area index in a forested mountain catchment

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