Vegetation response to a topographical-soil gradient

Solon, Jerzy; Degórski, Marek; Roo-Zielińska, Ewa

doi:10.1016/j.catena.2007.01.006

Cited by 52 publications

(43 citation statements)

References 16 publications

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“…The different land use land cover classes with their area covered in the district is given in The spatial distribution of vegetation cover is mainly depends on topographic and environmental factors (Wang et al, 2012). The factors such as aspect, soil and climate are most important which are deciding the vegetation composition (Solon et al, 2007). Aspect significantly influences richness and pattern of plants community (Jafari et al, 2004).…”

Section: Resultsmentioning

confidence: 99%

Vegetation Analysis and Land Use Land Cover Classification of Forest in Uttara Kannada District India Using Remote Sensign and Gis Techniques

Koppad¹,

Janagoudar

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The study was conducted in Uttara Kannada districts during the year 2012-2014. The study area lies between 13.92 o N to 15.52 o N latitude and 74.08 o E to 75.09 o E longitude with an area of 10,215 km2. The Indian satellite IRS P6 LISS-III imageries were used to classify the land use land cover classes with ground truth data collected with GPS through supervised classification in ERDAS software. The land use and land cover classes identified were dense forest, horticulture plantation, sparse forest, forest plantation, open land and agriculture land. The dense forest covered an area of 63.32 % (6468.70 sq km) followed by agriculture 12.88 % (1315.31 sq. km), sparse forest 10.59 % (1081.37 sq. km), open land 6.09 % (622.37 sq. km), horticulture plantation and least was forest plantation (1.07 %). Settlement, stony land and water body together cover about 4.26 percent of the area. The study indicated that the aspect and altitude influenced the forest types and vegetation pattern. The NDVI map was prepared which indicated that healthy vegetation is represented by high NDVI values between 0.1 and 1. The non-vegetated features such as water bodies, settlement, and stony land indicated less than 0.1 values. The decrease in forest area in some places was due to anthropogenic activities. The thematic map of land use land cover classes was prepared using Arc GIS Software.

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Section: Resultsmentioning

confidence: 99%

Vegetation Analysis and Land Use Land Cover Classification of Forest in Uttara Kannada District India Using Remote Sensign and Gis Techniques

Koppad¹,

Janagoudar

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Em muitos estudos busca-se identificar correlações entre os padrões espaciais dos geocomponentes através de métodos estatísticos (KHOROSHEV & MEREKALOVA, 2006;PUEYO, et.al., 2007;SOLON, DEGÓRSKI & ROO-ZIELIŃSKA, 2007;XU et.al., 2008).…”

Section: Hierarquia De Unidades Ambientais E Sua Classificaçãounclassified

Problemas de hierarquização espacial e funcional na ecologia da paisagem: uma avaliação a partir da abordagem geossistêmica.

Cavalcanti¹,

Corrêa²

2013

Geosul

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“…Th e extrapolation is based on the distribution of the vegetation cover. Vegetation is a readily determinable and easily detectable important factor infl uencing the infi ltration process (Solon et al 2007;Zhang et al 2011). Soil properties and bedrock are other important factors that are in close relation with the vegetation cover.…”

Section: An Original Methods For Estimating Infi Ltration For the Entimentioning

confidence: 99%

“…Th e relation between soil conditions and plants is mutual and dynamic. Th e root system of plants infl uences the soil properties (structure, porosity, hydraulic conductivity, soil water content), and the soil properties infl uence the occurrence of certain plant species (Stothoff et al 1999;Solon et al 2007;Li et al 2008). Forest vegetation creates root macropores in the zone near to the soil surface.…”

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confidence: 99%

Steady infiltration rates estimated for a mountain forest catchment based on the distribution of plant species

Jačka¹,

Pavlásek²,

Jindrová³

et al. 2012

J. For. Sci.

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Among other important factors, vegetation cover strongly affects the hydrological processes in mountain catchments. In this paper, we present the results of field infiltration measurements at the location of various vegetation covers, together with an estimation of the infiltration characteristics of a small mountain forest catchment. Measured steady infiltration rate values were extrapolated on the basis of the dominant plant species distribution in the catchment. We determined which plant species are dominant, and infiltration tests were carried out where these species were located in selected sites in the catchment. The characteristic steady infiltration rates were averaged for each dominant vegetation species. The percentages of dominant plant species were determined for established points placed in a regular network throughout the basin. An extrapolation of the directly measured infiltration values to these established points was calculated using (1) percentages of the dominant plant species determined at these points, and (2) characteristic infiltration rates averaged for these species. An infiltration map was created from the infiltration values calculated for the established points.

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Vegetation response to a topographical-soil gradient

Cited by 52 publications

References 16 publications

Vegetation Analysis and Land Use Land Cover Classification of Forest in Uttara Kannada District India Using Remote Sensign and Gis Techniques

Vegetation Analysis and Land Use Land Cover Classification of Forest in Uttara Kannada District India Using Remote Sensign and Gis Techniques

Problemas de hierarquização espacial e funcional na ecologia da paisagem: uma avaliação a partir da abordagem geossistêmica.

Steady infiltration rates estimated for a mountain forest catchment based on the distribution of plant species

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