Land as a resource of agricultural production is not fully exploited in Latvia, as approximately 400 thousand ha, according to the data in the identification system of agricultural parcels, were undeclared for the Single Area Payment Scheme in 2012 and, of the agricultural area, 10 % was uncultivated and 2% was overgrown. It creates unique opportunities and a potential for enhancing the management and use of land in the future to increase the output of agricultural products.

Bumble bee (Bombus) species are ecologically and economically important pollinators, and many species are in decline. In this article, we develop a mechanistic model to analyse growth trajectories of Bombus vosnesenskii colonies in relation to floral resources and land use. Queen production increased with floral resources and was higher in semi‐natural areas than on conventional farms. However, the most important parameter for queen production was the colony growth rate per flower, as opposed to the average number of available flowers.

In agricultural industry of the Republic of Belarus the problem of increasing the effectiveness of utilization of land resources appears one of the most actual. Annual alienation of agricultural lands and arable fields under housing construction and industrial buildings, roads and other economic object leads to implacable decline of agricultural areas. Absence of new lands, suitable for agricultural use, promotes increase of agricultural productivity by means of intensification of producing process.

In northern New Mexico, complex interactions among climate, land use, and the associated reduction of surface fire in forest and savanna communities facilitated the expansion of piñon-juniper woodlands. Because increasing tree cover can outcompete herbaceous vegetation (e.g., forbs and grasses), woodland expansion resulted in reduced herbaceous cover and increased soil exposure, leading to increased runoff and erosion.

Traditional methods in agricultural economics and agricultural engineering have yielded mixed results when specifying the costs of an unfavourable parcel structure. Concepts related to travel costs and the production function are frequently applied when the costs of farming distant parcels are examined. However, farmers’ perspective regarding preferences for land use is ignored or partly overlapped by predictions made by researchers.

In course of the research there was studied the problem of efficiency of land usage in the conditions of the Republic of Belarus. The question of an estimation of land management efficiency was widely concerned in the special literature. However, the common opinion in the decision of the given question was absent. Besides, authors did not consider influence of the radio ecological factor on conditions of a life of the population, production and land usage caused by radioactive pollution of extensive agricultural territories of the Republic of Belarus.

In order to understand the genetic diversity of wild Ussurian pears in China, chloroplast DNA (cpDNA) of 186 wild accessions from 12 populations in Inner Mongolia, Heilongjiang and Jilin Provinces and 51 Chinese and European pear cultivars including Pyrus ussuriensis, Pyrus pyrifolia, Pyrus bretschneideri, Pyrus sinkiangensis and Pyrus communis were investigated. Each accession was classified into one of three types (types A, B and C) based on two large deletions in the hypervariable regions between the accD–psaI and rps16–trnQ genes.

Faecal Coliform (FC) bacteria were used as Faecal Indicator Organisms (FIOs) for assessment of microbiological pollution risk in two large, mixed land use catchments in Scotland. FC counts varied spatially in relation to land use and human population and resulting trophic status. These were highest in catchments with a high cover of improved pasture (which was assumed to be a proxy for cattle and sheep grazing densities) and significant human populations. FC counts were lowest in oligotrophic upland areas, where domesticated animal populations were low.

Most of the current global land cover datasets and global scale land-use models use a classification of land cover based on the dominant land cover type within a distinct region or pixel. Such a classification disregards the diversity and intensity of human influence on land systems. In this paper we propose a novel way of classification and modeling land-use using a classification based on land-use systems (LUSs) that represent specific combinations of human-environment interactions. A cluster analysis was used to identify and map these LUSs.