The spatial distribution of individuals is a fundamental property of most species and constitutes essential information for the development of restoration and conservation strategies, especially for endangered plant species. In this paper we describe the spatial distribution of different size classes of the endangered tropical tree Guaiacum sanctum and the effect of canopy cover on spatial aggr...

We tested the hypothesis of a negative relationship between vegetation characteristics and ant species richness in a Brazilian open vegetation habitat, called candeial. We set up arboreal pitfalls to sample arboreal ants and measured the following environmental variables, which were used as surrogate of environmental heterogeneity: tree richness, tree density, tree height, circumference at the ...

Rapid leaf area development may be attractive under a number of cropping conditions to enhance the vigor of crop establishment and allow rapid canopy closure for maximizing light interception and shading of weed competitors. This study was undertaken to determine (1) if parameters describing leaf area development varied among ten peanut (Arachis hypogeae L.) genotypes grown in field and pot exp...

To understand the biomass condition in the forestry areas, the detection for individual trees becomes an important topic. For forestry management, the canopy may be described with several parameters, e.g., number of stems, stand position, tree height, timber volume, canopy cover, etc. Traditional methods rely on field measurements, imagery, and radar data to derive the canopy information. Follo...

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The management, development and conservation of a protected area require vast knowledge of forest resources, its distribution and utilization pattern by its flora and fauna. Application of remote sensing and GIS as a tool, has assumed immense significance in assessment of these information. These applications are now widely used in conservation and management of protected areas across the globe...

Spatially distributed information on canopy parameters is an important input to precision agriculture. Remote sensing data, and especially high-resolution hyperspectral data of sensors such as the multi-directional satellite-sensor CHRIS or the airborne spectrometer AVIS provide such information. In order to derive the canopy parameters leaf area index and fraction of mature material as well as...

This study presents a method for quantitatively estimating leaf area index (LAI) in winter wheat by exploring bi-directional reflectance distribution function (BRDF) data. In BRDF data, near-infrared reflectance (NIR) which is sensitive to crown component, canopy cover and crown shape, is affected by illuminated crown component, while red reflectance is sensitive to canopy gaps and controlled b...