An effective response to future risk within socio-ecosystems will require the retention of local diversity, not just in more vulnerable communities on the margins but also in regions vital to industrialised countries. A case study is presented that examines agroecosystem vulnerability to climate change within an Australian multifunctional rural landscape adjacent to the city of Adelaide.

The landscape of many historic cities and the character of their shallow subsurface environments are defined by a legacy of interaction between anthropogenic and geological processes. Anthropogenic deposits and excavations result from processes ranging from archaeological activities to modern urban development. Hence, in heritage cities, any geological investigation should acknowledge the role of past and ongoing human activities, while any archaeological investigation should be conducted with geological processes in mind.

We address the possible outcomes of combining environmental taxes and environmental planning in managing non-renewable resources such as aggregates. We empirically investigate resource taxation issues by focusing on aggregate extraction policy in two large northern Italian regions, Lombardy and Emilia-Romagna. The evidence shows that environmental planning, in addition to economic instruments, is needed to shape and monitor environmental policies. We highlight that the complementarity of land use planning and economic instruments can be a key driver of sustainability performances.

In South Patagonia, Argentina, sweet cherry is the main fruit-tree crop grown for export, resulting in a highly seasonal labour demand. Managers of deciduous perennial fruit orchards must consider both biological and economic relationships in selecting crop species and orchard design. This makes decisions at the farm-level extremely complex, as especially in such perennial crops, strategic ('what to plant', 'with which technology' and 'how much area of each activity', i.e.

This study combines statistical methods and a Markov model to analyze interregional differences in land use in Beijing since 2003 and to predict land use changes for 2015 and 2019. First, the paper proposes a new concept, land use flow, which counts the change in area from the beginning to the end of the period of interest, to analyze changing land use patterns using statistical records from 2003 to 2011. Second, based on land use data between 2003, 2007 and 2011, this paper applied a Markov model to the prediction of Beijing land use in 2015 and 2019.

Climate variability, changing land use and management, and dynamic policy environments are the main reasons why long-term research is needed to understand and predict possible water quality outcomes to alternative future scenarios. Long-term water quality data sets are needed to address these water issues. Such data sets were acquired by the USDA–ARS in three watersheds in Oklahoma: the Southern Great Plains Research Watershed (SGPRW), the Little Washita River Experimental Watershed (LWREW), and the Fort Cobb Reservoir Experimental Watershed (FCREW).

In order to identify the areas in the Xilingele grassland which are sensitive to wind erosion, a computational fluid dynamics model (CFD-WEM) was used to simulate the wind fields over a region of 37km2 which contains different topography and land use types. Previous studies revealed the important influences of topography and land use on wind erosion in the Xilingele grassland. Topography influences wind fields at large scale, and land use influences wind fields near the ground.

To improve communication between reindeer-herders and other land users, we developed and implemented a system to produce reindeer husbandry plans together with Sami reindeer-herding communities. A central component of our communications strategy was the introduction and use of a participatory GIS (pGIS). We evaluated the potential and limitations of pGIS as a tool for collaborative learning.

The methods and approaches selected in a restoration project depend on the degree of ecosystem degradation and on future land use plans. Programs of monitoring and evaluation must therefore compare restoration progress and effectiveness relative to untreated conditions and to target conditions, particularly with respect to the attributes and functions essential to land use objectives. It is usually not feasible to directly monitor all important forest attributes and functions, so a few indicators must be selected.

Understanding changes in soil quality resulting from land use and land management changes is important to design sustainable land management plans or interventions. This study evaluated the influence of land use and land cover (LULC) on key soil quality indicators (SQIs) within a small watershed (Jedeb) in the Blue Nile Basin of Ethiopia. Factor analysis based on principal component analysis (PCA) was used to determine different SQIs.

This paper presents an interactive web‐based rapid assessment tool that generates key water related indicators to support decision making by stakeholders in land use planning. The tool is built on a consistent science based method that combines remote sensing with hydrological and socioeconomic analyses. It generates transparent, impartial, and verifiable information regarding the impact of land use changes on water productivity, water consumption, water availability, and employment.