Suchergebnisse

This exploratory study examined 51 participants convicted of an Internet-initiated sex offense in which they attempted to entice an adolescent into a sexual relationship using an Internet chat room. All participants were convicted of a sex offense and subject to an evaluation as a part of sentencing requirements in Colorado. Clinical and behavioral data were obtained from each subject's offense-specific evaluation and chat room transcripts. The results of the study found that 90% of the participants were apprehended as a result of an Internet sex sting. The authors conclude that Internet chat room sex offenders constitute a separate group characterized by less severe criminogenic factors than other sex offenders (rapists, child molesters). It can be hypothesized that chat room sex offenders avoid relationships and spend a significant amount of time in online chat rooms as a primary social and sexual outlet, and engage in other sexually compulsive behaviors. Within this offender group, it was discovered that two subgroups exist: a contact-driven group motivated to engage in offline sexual behavior with an adolescent and a fantasy-driven group motivated to engage an adolescent in online cybersex without an express intent to meet offline. The chat room sex offender presents a significant clinical issue to treatment providers as a live victim does not exist. Thus, it is unclear if Internet sex stings prevent incidents of child sexual exploitation and may result in convictions of individuals who may never have abused a child. The data suggest a tentative sex offender typology, including subtypes, which need to be replicated in future studies.

This paper reviews information about field observations of vegetation productivity in Australia's rangeland systems and identifies the need to establish a national initiative to collect net primary productivity (NPP) and biomass data for rangeland pastures. Productivity data are needed for vegetation and carbon model parameterisation, calibration and validation. Several methods can be used to estimate pasture productivity at various spatial and temporal scales, ranging from in situ measurements to satellite-based approaches and biogeochemical modelling. However, there is a barrier to implementing national vegetation and carbon modelling schemes because of the lack of digitised and readily available data derived from field observations, not because of the lack of modelling expertise. Our main goal in this paper is to explore the potential for consolida-tion of existing NPP and biomass databases for Australian rangelands. A protocol structure was proposed to establish a productivity database for Australia. The TERN (Terrestrial Ecosystems Research Network) national field data network for rangeland pasture productivity monitoring and modelling team could potentially coordinate the database. Government agencies and national and international research institutions could use the outputs from productivity models to inform greenhouse gas emissions and in measuring mitigation activities relevant for reporting against the United Nations' Sustainable Development Goals and other international obligations. Other applications include monitoring fire danger, tracking ecological restoration and protec-tion, and estimating fodder availability. Australian researchers have the tools needed to succeed in creating such a national database and a robust community of practice to curate it, enhance it and benefit from its availability.