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Sunt prezentate suprafetele cu stufarisuri recoltabile ca material de constructie pentru acoperisuri.

Harta stufarisurilor prezinta zonele recoltabile pentru furaj

Harta prezinta zonele de stufarisuri in care se poate pasuna

International audience; Wetlands are among the most productive natural environments on Earth, as they harbor exceptional biological diversity. For this paper, our study site was the Danube Delta. The biodiversity of the Danube Delta is extraordinary and it possesses one of the largest reed beds in the world. The main goal of our paper was to recognize, characterize and map the main vegetation units of the Danube Delta. The paper emphasizes the importance of the joint use of LiDAR measurements (acquired in May 2011), RADARSAT-2 radar data (acquired on 4 June 2011) and SPOT-5 optical data (acquired on 25 May 2011). LiDAR data allow for the characterization of vegetation height within centimeter accuracy (10 cm). The radar measurements are based on C-band, providing additional information about the structure of the vegetation cover. The simultaneous acquisition of HH, HV, VV and VH polarizations enabled us to discriminate between the targets, depending on their responses to the various polarizations, by calculating their polarimetric signatures. By linking multispectral LiDAR and radar data, information can be obtained about vegetation reflectance and height as well as the backscattering mechanism, allowing for improved mapping and characterization accuracy (90.60% mean accuracy). An accuracy assessment of the classification results was evaluated against the vegetation data recorded in the field.

Shifts in the ecosystems distribution as the result of climate change are of interest for decision-makers in biodiversity conservation at local and European level. This paper presents the use of modeling technique, Maxent (Maximum entropy modeling) and BIOCLIM (environmental envelope model), to estimate the impact of climate change on the Alpine bioregion of Continental Europe for improving the management policy in support of stopping biodiversity loss. The European Union priority habitat 6230 occurring in mountain areas and sub-mountain areas of the Carpathians was selected for modeling being of high priority conservation status in the Natura 2000 network of protected area. Maxent and BIOCLIM were used to create spatial distribution models for Mesophilous oligotrophic mountain pasture and Subalpine oligotrophic pastures. Models were run with 1950–2000 averaged bioclimatic data and double atmospheric CO2 concentration scenario in perspective of the year 2050. In our analyses we have included once all 6320 mapped habitat with Nardus grasslands. Under 1950–2000 climate scenario, both models exhibited high AUC values (> 0.9). The predicted geographical distribution of Mesophilous oligotrophic mountain pasture and Subalpine oligotrophic pastures coded as VNG and PON habitat modeled by Maxent and BIOCLIM shows differences between the modeling approaches, with Maxent predicting smaller areas (12% less) of suitable habitat than BIOCLIM. For the future climate scenario (double CO2) the surface with PON+VNG decreases by 31% for Maxent and 26% for BIOCLIM. However both models show significant shifts of the Nardus habitat due to climate change. The distribution maps obtained indicate vulnerability areas to biodiversity loss and of interest to be monitored. The output of models will contribute to the Black Sea Catchment Observation Systems to be further accessible to scientists, decision-makers and the general public.

This report presents the analyses of the land use scenarios, a review of the combined method used to quantify the enviroGRIDS land use demand and the disaggregation of the global scenarios at a regional scale.

The reed beds are widely considered in Europe as ecologically and economically beneficial areas. I n The Danube Delta Biosphere Reserve (D.D.B.R.), reed is by far the dominant species and reed marshes cover more than 220,000 ha (Hanganu et al 2002). Presently, certain areas of reed beds are selected for burning or harvesting during the winter by private companies. Other surfaces are harvested in green, mown by the inhabitants as cattle food. Comparing the present period with the harvest campaigns from the ‘60 th until the ‘80 , we can say that the actual pressure on reed’s biodiversity is reduced. All above aspects of management practices and their influence on reed beds succession and th conservation of biodiversity are discussed. Beside the current reed type description and comparison with biometrical data from Chifu et al (1993), we present their distribution, in relation with type of substrate and hydrology, by reed complexes.

This document reports on data availability and quality for hydrological modeling and water quality modeling in the Black Sea Catchments. The report gives an overview of different hydrological models such as Soil Water Assessment Tool (SWAT) that is our selected tool for hydrological modeling and water quality modeling in the Black Sea Catchments, followed by Delft3D a 2D/3D modeling program, SOBEK, MONERIS, and Qualitative Reasoning (QR) models. The main hydrological projects developed in the regions are also described in order to benefit from existing modeling data suitable also for SWAT model. In the partners' contribution chapter, each partner gives an overview of meteorological, hydrological and other SWAT data it can contribute or may be collected from the official owners. It is concluded that Ukraine, Romania and Hungary territory is well covered with SWAT needed data from enviroGRIDS partners, other data for the rest of the area as upstream of Danube Catchments are mostly available through ICPDR or at Global, European and regional database repositories.