Coastal shorelines are naturally dynamic, shifting in response to coastal geomorphological processes. Globally, land use change associated with coastal urban development and growing human population pressures is accelerating coastal shoreline change. In southern Vietnam, coastal erosion currently is posing considerable risks to shoreline land use and coastal inhabitants.

Historic land‐cover/use change is important for studies on climate change, soil carbon, and biodiversity assessments. Available reconstructions focus on the net area difference between two time steps (net changes) instead of accounting for all area gains and losses (gross changes). This leads to a serious underestimation of land‐cover/use dynamics with impacts on the biogeochemical and environmental assessments based on these reconstructions.

Maps of continental‐scale land cover are utilized by a range of diverse users but whilst a range of products exist that describe present and recent land cover in Europe, there are currently no datasets that describe past variations over long time‐scales. User groups with an interest in past land cover include the climate modelling community, socio‐ecological historians and earth system scientists. Europe is one of the continents with the longest histories of land conversion from forest to farmland, thus understanding land cover change in this area is globally significant.

AIM: Deterministic niche theory predicts that increasing environmental heterogeneity increases species richness. In contrast, a recent stochastic model suggests that heterogeneity has a unimodal effect on species richness since high levels of heterogeneity reduce the effective area available per species, thereby increasing the likelihood of stochastic extinction (the ‘area–heterogeneity trade‐off’). We tested these contrasting predictions using data on bird distributions in North America. LOCATION: North America.

CONTEXT: Understanding the causes and consequences of land use and land cover change in drylands is crucial for global sustainability. Inner Mongolia consists of arid and semiarid ecosystems of global importance. OBJECTIVES: Our main goal was twofold: to review the patterns and drivers of land use and land cover change in Inner Mongolia, and to discuss ecological impacts and strategies for promoting landscape and regional sustainability. METHODS: We took an interdisciplinary and retrospective approach, based on historical records and remote sensing data.

EU conservation policy is primarily based on the Natura 2000 network of protected areas (PAs). We analyzed the land-cover changes between 2000 and 2006 inside 25,703 Natura 2000 sites in 24 EU Member States, and compared them with those observed outside the PAs. At the EU level, ‘Artificial surfaces’ and ‘Agricultural areas’ exhibit lower rates of transformation within PAs than outside. ‘Forests and semi-natural areas’ marginally increased inside PAs, while they marginally decreased outside.

The semiarid Chinese Loess Plateau is notorious for severe drought, water erosion, and environmental degradation. Changes in landscape patterns and rainfall are key drivers that determine the dynamics of runoff loss and sediment yield from catchments. These factors have crucial implications for management of other fragile ecosystems around the globe. In this study, responses of surface runoff and sediment yield to land use and rainfall in a typical loess hilly catchment in 1997, 2005, and 2010 were analyzed. Several major findings are highlighted.

QUESTION: Increasing population pressure, socio‐economic development and associated natural resource use in savannas are resulting in large‐scale land cover changes, which can be mapped using remote sensing. Is a three‐dimensional (3D) woody vegetation structural classification applied to LiDAR (Light Detection and Ranging) data better than a 2D analysis to investigate change in fine‐scale woody vegetation structure over 2 yrs in a protected area (PA) and a communal rangeland (CR)? LOCATION: Bushbuckridge Municipality and Sabi Sand Wildtuin, NE South Africa.

Whether grazed semi-arid grassland can be regarded as a net-sink or net-source of aeolian dust is difficult to detect since deposition and emission processes are in gradual transition. In grassland, dust arrives from sources far away or is directly emitted and immediately part of the suspension load. The processes of dust emission or deposition can be mainly identified by vertical concentration measurements close to the ground and close to the sources.

Farming practices are rarely considered in the description of agricultural landscapes. However, the variety of cropping systems creates a particular kind of heterogeneity which can strongly affect the diversity of species living in agro-ecosystems, and consequently the ecosystem services they provide. In this study, we investigate the effects of landscape composition and configuration of organic and conventional farming practices on three groups of aphids’ natural enemies, compared to field habitat quality and land cover heterogeneity.

The black-and-white snub-nosed monkey Rhinopithecus bieti is endemic to China, where its population is fragmented into 15 isolated groups and threatened despite efforts to protect the species. Here we analyse possible habitat connectivity between the groups reported in Yunnan, using genetic, least-cost path and Euclidean distances. We detect genetic isolation between the northern and southern groups but not among the northern groups. We show that genetic distance is better explained by human disturbance and land-cover least-cost paths than by Euclidian distance.

Fragmentation of forest landscapes and structural degradation of woodlands have a holistic negative effect on biodiversity. Bats are considered as indicators of woodland’s structural quality. However, as bats commute long distances on a nightly basis, their diversity should also be limited by large-scale drivers such as landscape and species availability in the region. Therefore we examined roles of the local species pool, landscape structure and habitat properties on species richness of bats through three spatial scales with emphasis on top–down relationships.