The ICA Environmental Communication Interest Group aims to advance research on the interplay of the environment with any level of communication and in any setting. Research on health, risk, and science communication issues related to the environment are especially germane. The group welcomes work from any perspective (including critical, cultural, ethnic/minority, feminist) employing any research method motivated by sound research questions about environmental communication.
The group seeks to foster a relationship with other scholarly environmental communication associations to forge global ties among academics and practitioners of environmental communication to increase research, education, funding, and publication opportunities.
The Environmental Communication Interest Group is also a vehicle for advancing the Greening of ICA in the areas of scholarship and education. It will help communication scholars improve the environmental performance of their universities, the media industries, and environmental organizations. The group will support members to integrate sustainability issues into their teaching and promote research in this area.
The interest group began with it's initial meeting at ICA 2011 in Boston, Massachusetts with nearly 40 attendees. In 2012 we established bylaws and a full set of officers. By 2013 we have more than 180 members. We maintain a a group web site (see link above) and discussion forums for group members in the MyICA/Organization Tools area of the ICA web site.
Please see the August 2013 ICA newsletter for important information to help the ECIG achieve it's goals.
International Journal of Ecosystem: Preliminary Assessment of the Effects of Anthropogenic Activities on Vegetation Cover and Natural Regeneration in a Moist Semi-Deciduous Forest of Ghana Tropical forests are being threatened daily by varied levels of anthropogenic activities which have resulted in the loss of biodiversity globally. The study was conducted to answer questions about the effects of human interferences on vegetation cover and natural regeneration. Two Landsat images of the study area were obtained for 1986 and 2003. Ground-truth data was recorded from the field for accurate classifications which was subsequently used to generate a change map. Six quadrats were then laid in primary (PF) and secondary (SF) forests based on the map. Diversity indices were estimated while differences in regeneration (seedlings and saplings) densities between PF and SF was analyzed using ANOVA. Estimated forest cover removed was 10.8 ha (1986) and 1,698.21 ha (2003). There was a significant difference in recruitment densities between the two forest types (p<0.001). Shannons?? index revealed that PF was less diverse (0.867) and had a higher Jaccard similarity index (0.222) among seedlings and saplings compared to SF (0.842 and 0.077). It is concluded that, the high level of forest cover loss and poor recruitment of seedlings into saplings for SF indicates a threatened state of the reserve. This information may be useful in identifying opportunities for restoration efforts to ameliorate present conditions in the reserve. Click Here to View Full Article
World Environment: An Adaptive Monitoring System for Identify the Spots of Pollutants on the Water Surface The problem of detection and identification of the pollution spots on the water surface, especially of oil spills, is being solved by many scientists. The recently developed technology of an adaptive identification of the environmental elements from measurements in the visible spectral region permits to synthesize an expert system for an adaptive identification of the environmental parameters (ESAIEP). The system??s structure includes a compact multi-channel spectropolarimeter (MSP), information interface with computer (IIC), computer software (STW), and extending database (EDB). The STW realizes a number of algorithms to process the data fluxes from MSP and provides service functions of visualization and control of the regime of measurements. The EDB consists of the sets of standard spectral images of the spots of pollutants represented by points in the multi-dimensional vector space of indicators, pre-calculated on the basis of learning samples. The principle of the ESAIEP functioning is based on fixation of changes of the light flux at the MSP output and their transformation into a digital code. Further processing of these data with respect to their efficiency is determined by the STW composition containing various algorithms of recognition of 2D objects. The adaptability of the recognition procedure is determined by the level of accumulated knowledge about special features of intensity fluctuations and polarizing properties of the light reflected from the water surface. The STW includes the means that make it possible, in case of uncertain identification of the pollution spot, to make an expert decision based on the visual analysis of its spectral image. This procedure is realized in the mode of dialogue with ESAIEP, and if decision is made, the operator can fix it in the database in the form of a standard for subsequent situations of an appearance of similar spots. Click Here to View Full Article