Geographic distribution and associated environments characterization of trichilia catigua A. Juss - Meliaceae in Santa Catarina State - Brazil

A survey was conducted aiming to recognize and characterize the environments of occurrence of Trichilia species and their geographic distribuition, particulary T. catigua A. Juss, in Santa Catarina State. These informations will support a domestication strategy for agricultural production of this spcies. This species is widely used by traditional communities as dye and tonic beverage, as well as digestive and purgative. Some pharmaceutical and beverage industries in Brasil use bark of this species to prepare a tonic drink. There are several common names reffering the species and this situation can promove mistakes in collecting and selling processes. Termperature, soil, vegetational types and edaphoclimatic aspects have great influence on the occurrence of this species. Plant collection strategu was based on herbaria data and field verification. The vouchers were deposited at the Federal University of Parana herbarium (UPCB). The collection sites were geographically located, by latitude and longitude and these data were crossed with climate, soil, temperature, rainfall, altitude and vegetation maps. Catuaba occurs predominantly on a stational semidecidual forest and also on transitional forest with Araucaria and part of Atlantic forest. It is found growing in lower canopy, with fertile soils, and high content of organic matter. The main geomorphological formation are basaltic and the soil types vary from dark red latossol to yellow red latossol, including structured red latossl and cambissol from basaltic and granitic origin.

Assessing land use by cattle in heterogeneous environments

The aim of this note is to describe preliminary results on assessment of land use by cattle, obtained in a pilot study using Geographic Information System (GIS). The research was carried out on a semi-natural pasture in Sweden, where the geographic positions of one cow were recorded during 25 consecutive days during summer. The cow, wearing a GPS collar, was integrated in a herd of 53 Hereford cattle. Each location point registered for the animal was considered as a sampling unit (N=3,097). The spatial distribution of ground declivity, water sources, cattle tracks, and classes of woody vegetation cover (forest, grassland with trees and open grassland) were recorded. The storage, processing and data analysis were carried out using the Idrisi and GS+ softwares. Three occupation zones were identified in function of the variation in the space used by the animal, which were occupied in a cyclical pattern; with the animal moving from one zone to another in cycles of five days. It was also clear that the cattle distribution in the area was neither random nor uniform, and it was affected by environmental characteristics that act as conditioners on its distribution. These preliminary results suggest that definition of zones of occupation and the environmental conditioners are promising tools to understand the land use by cattle

Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model

The south of Minas Gerais, Brazil stands out among various regions through its capacity for production of specialty coffees. Its potential, manifested through being one of the most award-winning Brazilian regions in recent years, has been recognized by the Cup of Excellence (COE). With the evident relationship between product quality and the environment in mind, the need arises for scientific studies to provide a foundation for discrimination of product origin, creating new methods for combating possible fraud. The aim of this study was to evaluate the use of carbon and nitrogen isotopes in discrimination of production environments of specialty coffees from the Serra da Mantiqueira of Minas Gerais by means of the discriminant model. Coffee samples were composed of ripe yellow and red fruits collected manually at altitudes below 1,000 m, from 1,000 to 1,200 m and above 1,200 m. The yellow and red fruits were subjected to dry processing and wet processing, with five replications. A total of 119 samples were used for discrimination of specialty coffee production environments by means of stable isotopes and statistical modeling. The model generated had an accuracy rate of 89% in discrimination of environments and was composed of the isotope variables of δ15N, δ13C, %C, %N, δD, δ18O (meteoric water) and sensory analysis scores. In addition, for the first time, discrimination of environments on a local geographic scale, within a single municipality, was proposed and successfully concluded. This shows that isotope analysis is an effective method in verifying geographic origin for specialty coffees.