Maytenus senegalensis subsp. europaea communities are unique vegetal formations in Europe. In fact, they are considered Priority Habitat by Directive 92/43/EEC. These are ecologically valuable plant communities found in the southeast of Spain. By combining modeling methods of environmental variables, historical photo-interpretation, and fieldwork, a chronosequence of the evolution of their extent of occurrence (EOO) has been reconstructed in 1957 and 2011. Results showed a strong regression range of M. senegalensis subsp. europaea populations.

Context Primates are one of the most charismatic and widely studied vertebrate groups. However, the study of new world primates in green patches within urban areas has been neglected. Such primates have been viewed as a source of human–animal conflict; however, their ecological importance to urban ecosystems and their role in human well being is poorly understood. Aims To increase understanding of both ecological and socioeconomical factors affecting the distribution, density and group sizes of urban marmosets in a large Brazilian city (Belo Horizonte).

Context Reptiles, especially snakes, can cause a fear reaction in the public and are, therefore, a good model to examine human–wildlife conflicts. Human city dwellers often respond to the presence of snakes or other reptiles by calling out the responsible agency for animal control, which has to mediate the situation. Aims To determine how the temporal and spatial occurrence of human–reptile conflicts were associated with environmental conditions and socio-economic factors in a large Brazilian city (Belo Horizonte).

Human‐induced land cover change threatens species diversity and ecosystem services. The rapid pace of current change makes predicting species’ declines imperative, but leaves little time for thorough study of all species. One solution is to make generalizations about species’ vulnerability to urbanization based on traits common among studied species in decline. To date, most generalizations about traits associated with species’ declines in response to urbanization are based on presence or abundance, or detailed studies of a few species.

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.

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.

Land use change can alter the ecological mechanisms that influence infectious disease exposure in animal populations. However, few studies have empirically integrated the environmental, spatial, and dietary patterns of wildlife epidemiology. We investigate how urbanization, habitat type, and dietary behavior are associated with coyote (Canis latrans) parasitism structure along a gradient of rural to urban land cover using multivariate redundancy analyses. Coyote fecal samples were collected in eight urban and six rural sites in Calgary, Alberta, Canada.

Conflicts over land-grabs for industry, infrastructure and urbanization are on the rise in emerging economies. A slew of policy measures undergird such land deals in India but have encountered successful resistance from peasants and citizens groups. In Goa, resistance led to the revocation of the state's special economic zone (SEZ) policy and cancellation of all approved SEZs, many developed by prominent realty firms. As battle over three SEZs continues in the Supreme Court of India, there is hope that commons will be returned to local communities.

Meat production in South Africa is on an increasing trend. In South Africa rising wealth, urbanisation and a growing middle class means South Africans are eating more processed and high-protein foods, especially meat and dairy products. These foods are more land- and water-intensive than fruit, vegetable and grain crops, and further stress existing resources. Traditional agricultural farms cannot keep up with the increasing demand for animal products and these farms are being replaced with concentrated animal feeding operations.

The rapid urbanization of the world has significant ecological consequences that shape global biodiversity patterns. The plant communities now common in urban centers may represent new habitats with unique dynamics and the potential for highly modified ecological services. This study, joining extensive spatial and floristic data sets, examined current distribution patterns of non-native and native woody plant species in the New York metropolitan region, USA.

The effects of urban sprawl, at the expense of green natural areas, and the increasing anthropogenic pressure on these areas, lead to significant changes in land cover composition and structure. One of the threats and hazardous aspects of the urban sprawl is the disposal of construction site waste (CW) at the cities’ fringes and by the roadsides. The analysis of vegetation community structure over space and time in such areas may contribute to the understanding of community dynamics at the urban fringe following modern human intervention.

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.