Marisia - Maros Megyei Múzeum Évkönyve 29-30/2. (2010)
Botany
THE WETLAND SOIL CONSERVATION STATUS ASSESSMENT USING PLANT INDICATORS AND REMOTE SENSING TECHNIQUES ON CARAORMAN AREA Valentin PANAIT Institutul de Cercetäri Eco-Muzeale Tulcea, str. 14 Noiembrie nr. 1, RO-820009 Tulcea, Romania, e-mail: panvali@yahoo.com Abstract: Within this paper there are exposed a new approach of a few aspects regarding the determination and analyzing, the status of soil conservation, in the condition of the current climate change, based on variations that occur in the natural state of the indicator plants. Compared with similar studies currently available, within this project we intend to offer a conceptual model, of the correlation between the soils status and indicator plants were using the spatial database and remote sensing techniques. In this purpose, the few elements were used, as follows: the free Landsat 1990/2000 coverage maps of the Danube Delta Biosphere Reserve (https://zulu.ssc.nasa.gov/mrsid/ ), the data about soils and vegetation evolution, land observation (in the different point of the Danube Delta area) and a Quantum CIS version 1.5.0 and version 1.4.0 for map’s visualization and editing, but for querying and processing data was used PostgreSQL. All of them can be used, in order to understand the relation between soil and vegetation of the wetland areas. Within Geographical Information System, the information about wetlands can be manage very easy, in order to provides an explicit representation of the soil-vegetations relations conceptual model and a good support for model building on the information systems. The conservation status of the soils was represented on a matrix and that could be used to obtain forecasts. Keywords: soil component, plant association, plant indicator, Caraorman sand bank Introduction Based on variations that occur in the natural state of the indicator plants, this paper aims to offer an efficient tool for identifying, analysing and forecast the evolution of soil characteristics, in the condition of the current climate change, using the spatial database and remote sensing techniques. So, in order to get an action plan for habitat conservation we studied the space and time evolution of the relation between the indicator species and soil characteristics both on the G.I.S. environment and through field observations. In this purpose, we chose the soil’s cover and the spontaneous vegetation of the Caraorman sand bank as a reference model. Within this area, we followed the link between some aspect of the soils and vegetation evolution, in order to achieve a conceptual and mathematical model, of the correlation between the evolution of the soil characteristics and indicator plants using CIS software. M A R I S I A, XXIX-XXX, p. 43-49
