Land use and land cover change (LUCC) can modify the physical and thermodynamic characteristics of the land surface, including surface roughness, albedo, and vegetation fraction, among others. These direct changes can result in a series of impacts on regional climate. In this paper, the simulated results over China under the scenario of LUCC using weather research and forecasting model are presented. The period for the simulation is from December 2006 to December 2011. Two experiments are initialized by the LUCC datasets derived from the MODIS data of 2001 and 2008, respectively.

Landscape changes identified from multitemporal land cover databases allow the detection of the changes of individual landscape elements with high spatio-temporal precision. The similarity of the causal relations as well the characteristic states of landscape before and after change allowed us to group individual land cover changes into the landscape change types representing more complex processes in the landscape. In the paper, 13 landscape change types were proposed for the analysis of major developmental trends in the study area during the last 50 years.

Full and effective participation of indigenous peoples and local communities, and high accuracy estimates are two current requirements for the purposes of monitoring forests at international level. We produced two land cover maps, both of which were based on digital image processing (decision trees) using Rapideye imagery, and a land cover participatory map, for indigenous territories of eastern Panama. Accuracy of the three maps was evaluated using field data.

The valuation of ecosystem services can play an important role in conservation planning and ecosystem‐based management. Unfortunately, gathering primary, site‐specific data is costly. As a result, a popular alternate method is to conduct a “benefit transfer” (applying economic value estimates from one location to a similar site in another location). Among the potential pitfalls of such an approach, the correspondence (or lack thereof) between the locations is probably the most important for evaluating the probable validity of the benefit transfer.

Information on the effect of direct drivers such as hurricanes on ecosystem services is relevant to landowners and policy makers due to predicted effects from climate change. We identified forest damage risk zones due to hurricanes and estimated the potential loss of 2 key ecosystem services: aboveground carbon storage and timber volume.

Investigations of grasslands in Latvia started at the beginning of the 20ty century. One of the main goals was investigation of vegetation classification. In Latvia typology of natural grasslands in several investigation periods is based on different criterions: (1) economic typology, (2) grasslands vegetation physionomic classification according to dominant method, (3) classification of flora according to Braun-Blanquet method.

Depending on the researches done on urban landscapes, it is found that the heat island intensity caused by the activities in any city has some impact on the ecosystem of the region and on the regional climate. Urban areas located in arid and semiarid lands somehow represent heat increase when it is compared with the heat in the surrounding rural areas. Thus, cities located amid forested and temperate climate regions show moderate temperatures. The impervious surfaces let the rainfall leave the city lands faster than undeveloped areas.

The endozoochorous dispersal of weed seeds, mediated by birds and without any adaptation to frugivory, has been studied very rarely. We studied the endozoochorous dispersal of viable seeds by the grey partridge Perdix perdix in agricultural landscape. We assessed the content of intact seeds in 609 grey partridge droppings coming from 21 sampling sites in Poland that included three land-cover types (winter cereals, winter oil-seed rape and stubble fields). We found 159 intact seeds of 13 plant species. Most of them are classified as plants without any evolved adaptations to dispersal.

Lyme disease is the United States’ most significant vector-borne illness. Virginia, on the southern edge of the disease’s currently expanding range, has experienced an increase in Lyme disease both spatially and temporally, with steadily increasing rates over the past decade and disease spread from the northern to the southwestern part of the state. This study used a Geographic Information System and a spatial Poisson regression model to examine correlations between demographic and land cover variables, and human Lyme disease from 2006 to 2010 in Virginia.

For the first time in more than a century, people across the planet are migrating en mass from cities to rural areas. In this process of ‘exurbanisation’ humans are rapidly converting natural and agricultural regions into low‐density housing. Despite the scale of this exurban development and its potential negative impact on biodiversity, little is known about how this specific type of land conversion impacts wild pollinators.

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.