In Eastern Spain, almond trees have been cultivated in terraced orchards for centuries, forming an integral part of the Mediterranean forest scene. In the last decades, orchards have been abandoned due to changes in society. This study investigates effects of changes in land use from forest to agricultural land and the posterior land abandonment on soil microbial community, and the influence of...

Agricultural productivity is determined and limited in general by a combination of the natural environment and technical measures. If non-capital intensive management is assumed, the natural potential and constraints are of specific importance for the agricultural land use and its productivity. In this context, the Potsdam Institute for Climate Impact Research (PIK) in cooperation with the Max ...

Changing patterns and reduction in agricultural land are among the fundamental problems that impacts food security in developing regions like India. Rapid economic growth coupled with increasing populations and changes in climatic patterns are among the main factors impacting availability of agricultural land. On a macroscopic scale, due to the lack of good quality data, governments do not have...

Although increasing population in Turkey agricultural lands have not been expanded, thus, agricultural lands should be used more effectively. Therefore, Land consolidation is the most important work, which has to be done. Land consolidation takes time to execute project because of large application area and extensive. Therefore, using computer is extremely significant to conclude the land conso...

A survey of all county planning departments in Washington State indicated that protecting agricultural land is a major concern at the county level. Maintenance of the agribusiness sector is the main reason for protecting agricultural land, while the preservation of open space and rural lifestyles was of secondary importance. As a result, most Washington counties have implemented a broad range o...

An artificial neural network is a system based on the operation of biological neural networks, in other words, is an emulation of biological neural system. Artificial Neural Networks or simply Neural Networks are powerful general purpose computing tools. They have become popular in the analysis of remotely sensed data, particularly in classification or feature extraction from image data more ac...

Agricultural land management, such as fertilization, liming, and tillage affects soil properties, including pH, organic matter content, nitrification rates, and the microbial community. Three different study sites were used to identify microorganisms that correlate with agricultural land use and to determine which factors regulate the relative abundance of the microbial signatures of the agricu...

This study investigates the agricultural land abandonment and agricultural land expansion in the case of the Edmonton-Calgary Corridor, Canada. Using remote sensing data from 2000 to 2012, we include environmental and socio-economic factors to explore the drivers of land use conversions between agriculture and natural land. This research also adopts spatial techniques to allow for spatial effec...

Future land cover will have a significant impact on climate and is strongly influenced by the extent of agricultural land use. Differing assumptions of crop yield increase and carbon pricing mitigation strategies affect projected expansion of agricultural land in future scenarios. In the representative concentration pathway 4.5 (RCP4.5) from phase 5 of the Coupled Model Intercomparison Project ...

The kind of land use and intensity of its change is considered as important desertification indices in different models. Land use change is one of the main anthropogenic factors in the desertification. The current research was carried out around Imam Khomeini airport, with an area of 32000 km2, in order to evaluate mentioned area's land use changes effects during 1955-2003 on desertification. T...