Grazing animals explore different forage resources to satisfy their daily nutrient needs, following specific spatial and temporal patterns throughout the year. In this study four different flocks of ...sheep and goats (two of each species) were selected to record their spatial location with a handheld GPS during spring, summer and winter. At the same time, three animals in each flock were followed to study their grazing activities by direct observation. These data with the time information and a detailed land use map were manipulated in a GIS to assign animal activities to different forage resources. Sheep and goats were travelling long distances (7.5 km and 9.0 km, respectively) to satisfy their nutritional needs throughout the year. They were found to graze in two main forage resources, rangelands (grasslands, shrublands and forest ranges) and agricultural land (fallow land, stubble fields and temporary pastures). Both grazer species spent significantly less time (P≤ 0.05) feeding in rangelands (38.9% & 18.1%) than in agricultural land (63.6% & 53.4%) during spring and summer. It appears that a heterogeneous landscape is necessary for supporting extensive farming systems of small ruminants since rangelands and agricultural land complement each other in providing forage throughout the year.
Pašne živali se hranijo z različnimi krmnimi rastlinami, da zadostijo svojim dnevnim potrebam po hrani, pri tem sledijo različnim prostorskim in časovnim vzorcem skozi leto. V raziskavi smo izbrali štiri različne črede ovac in koz (dve za vsako vrsto) in opazovali njihovo prostorsko razporeditev z ročnim GPS spomladi, poleti in jeseni. Istočasno smo tri živali v vsaki čredi neposredno opazovali pri paši. Podatke o času in natančno karto rabe tal smo obdelali v GIS-u, da smo dobili povezavo med aktivnostmi živali in različnimi krmnimi rastlinami. Ovce in koze so prehodile dolge razdalje (od 7,5 km do 9,0 km), da so v celotnem letu zadovoljile potrebe po hrani. Pasle so se na dveh glavnih tipih krme: pašnikih (travišča, grmišča in gozdni robovi) in kmetijskih površinah (prahe, strnišča in začasni pašniki). Obe vrsti sta se statistično značilno (P≤ 0.05) pasli krajši čas na pašnikih (38,9% in 18,1%) kot na kmetijskih površinah (63,6% in 53,4%) v spomladanskem in poletnem času. Očitno je, da je pestrost krajine nujna za ekstenzivne kmetijske sisteme z drobnico, saj se pašniki in kmetijske površine dopolnjujejo pri celoletni oskrbi s krmo.
Land degradation is caused by and has impacts on both the social and natural components of coupled human–environment systems. However, few studies integrate both aspects simultaneously. The main ...objective of this study is to test a method to evaluate land degradation based on the integration of aggregate metrics of biophysical and socio-economic “degradation”. We applied a framework that integrates the biophysical and socio-economic dimensions of land degradation to test the hypothesis that macro-economic policies, and in particular agricultural subsidies, are an important driving force of land degradation in marginal regions of the Mediterranean Europe. We analysed the influence of subsidies on the profitability of each crop and livestock type found in a sample of farms in a region of northern Greece. Spatial and socio-economic data on agricultural households were collected to link remote sensing data and land degradation maps to socio-economic conditions of these households, as measured by the standard gross margin. The results demonstrate that subsidies provide a crucial socio-economic support to maintain the profitability of agricultural activities but may also promote land-use practices with damaging ecological impacts. Different levels of biophysical and socio-economic “degradation” were associated with different land use practices. The integration of the socio-economic and biophysical dimensions of land degradation reveals associations that would not be detectable if indicators along one dimension alone would be used.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
This paper introduces an innovative and eco-friendly computational methodology to assess the wind potential of a location with the aid of high-resolution simulations with a mesoscale numerical ...weather prediction model (WRF), coupled with the statistical “10% sampling condition”. The proposed methodology is tested for a location with complex terrain on the Greek island of Crete, where moderate to strong winds prevail for most of the year. The results are promising, indicating that this method has great potential for studying and assessing areas of interest. Adverse effects and challenges associated with wind energy production may be mitigated with methods such as the proposed one. Mitigating such effects should constitute the main focus and priority in research concerning wind energy production.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
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