Ecological correlates of the threat of extinction in neotropical bird species

Predicting the threat of extinction aids efficient distribution of conservation resources. This paper utilises a comparative macroecological approach to investigate the threat of extinction in Neotropical birds. Data on ecological variables for 1708 species are analysed using stepwise regression to produce minimum adequate models, first using raw species values and then using independent contrasts (to control for phylogenetic effects). The models differ, suggesting phylogeny has significant effects. The raw species analysis reveals that number of zoogeographical regions occupied, elevational range and utilisation of specialised microhabitats were negatively associated with threat, while minimum elevation and body mass were positively associated, whereas the independent contrasts analysis only identifies zoogeographical regions as important. Confining the analysis to the 582 species restricted to a single zoogeographical region reveals elevational range and number of habitats occupied to be negatively correlated with threat whether the analysis is based on the raw data or on independent contrasts. Analysis of four contrasting zoogeographical regions highlights regional variation in the models. In two Andean regions the threat of extinction declines as the elevation range across which the species occurs increases. In the presence of substantial human populations on high Andean plateaus, a species with a greater elevational range may be more likely to persist at some (relatively) unsettled altitudes. In Central South America, the strongest predictor of threat is minimum elevation of occurrence: species with a lower minimum are less threatened. The minimum elevation result suggests that lowland species experiencing an ecological limit to their minimum elevation (min. elevation >0 m) may be more at risk than those not experiencing such a limit (min. elevation = 0 m). Finally, in southern Amazonia, where there is little altitudinal variation, the only weak predictors of threat are body size, larger species being more threatened, and number of habitats, species occupying more habitats being less threatened. These contrasting results emphasise the importance of undertaking extinction risk analyses at an appropriate geographical scale. Since the models explained only a low percentage of total variance in the data, the effects of human-mediated habitat disturbance across a wide range of habitats may be important.

Spatial ecology of sooty owls in south-eastern Australian coastal forests : implications for forest management and reserve design

We investigated the home-range size and habitat use of eight Sooty Owls (Tyto tenebricosa tenebricosa) in coastal forests in East Gippsland, Victoria, Australia, between November 2006 and January 2008. The size of home-ranges varied widely; based on 95% adaptive kernel estimates, the average size of home-ranges of males was 3025ha (±1194s.d., n=3), whereas that of females was 994ha (±654s.d., n=5). Sooty Owls utilised a broad range of ecological vegetation classes and topographical features for roosting and foraging at a greater scale than previously assumed. There was minimal selection for habitat types based on floristic composition, primarily only avoiding heathlands (for foraging and roosting) and selecting particular dense foliage (rainforest and riparian scrub) for foliage roosting. Two Owls maintained home-ranges close to logged areas, with logging regrowth (<45 years old) being strongly avoided by both individuals. We recommend that the size of individual reserves for Sooty Owls in commercial forests should be increased to more closely resemble the core spatial resource requirements needed by a pair. Reserves should be largest where they feed predominantly on hollow-dependent prey. Most importantly, rather than conservation measures just focussing on the spatial requirements of Sooty Owls, efforts should be directed towards retaining high densities of crucial resources, such as hollow-bearing trees and mammalian prey species throughout the landscape.

Traditional environmental knowledge and community perceptions in sustaining the forest environment : case study of Minahasa ethnic community in the surrounding of Lake Tondano, North Sulawesi - Indonesia

The idea of sustainable development is distinct from the idea of restoring or conserving nature. This concept is embedded in the Rio Declaration on Environment and Development (1992) which Indonesia and several countries around the world have signed. Sustainable development seeks to interlace humans and nature, while restoration (especially at the large scale) often allows nature to be addressed separately, sometimes out of remorse for the damage caused by humans. In terms of attaining sustainable natural resource development, the opportunities offered by traditional ecological knowledge documentation are considered essential in enabling the achievement of sustainability because most of these Indigenous and/or local communities are situated in areas where many species have been historically cultivated and used in a sustainable way for thousands of years. The skill and techniques of these local communities can provide valuable information for the global community to evaluate current environmental policies. Such research and evaluation is often robustly and best undertaken through ethnoecological methodological paradigms. This paper examines the traditional environment knowledge of the Minahasan ethnic community, who live in the surrounds of Lake Tondano in the North Sulawesi, together with the Minahasan conscious and unconscious actions in conserving their forest ecology in addition to their knowledge of culture about forest protection in the region. In particular, contemporary use of traditional environmental knowledge is examined in terms of its relevance to in traditional resource management and land use planning, as avenues to better curate and manage natural resources through informed regional planning strategies and mechanisms.

Deeper than the forest AMBIENT

A short instrumental featuring percussion, bells, synths, mandolin, and sound design.

Deeper than the forest AMBIENT with VOCAL

A short instrumental featuring ethereal female vocals, percussion, bells, synths, mandolin, and sound design.

Ambient forest 30 sec

An ambient, new age style short composition featuring; African percussion and synths; 30 seconds in length.

Encouraging play in the natural environment : a child-focused case study of Forest School

There is concern that children are becoming disengaged from the natural environment and are not being afforded the opportunities to play in such environments. To examine children's perceptions, knowledge and experiences of play in the natural environment, 17 children from one school participated in small focus groups before and after a 12-week Forest School that took place within a school woodland area. Using two qualitative approaches, we found that Forest School had a positive influence on children's natural play and their knowledge of the natural world around them.

Improving classifications for cardiac autonomic neuropathy using multi-level ensemble classifiers and feature selection based on random forest

This paper is devoted to empirical investigation of novel multi-level ensemble meta classifiers for the detection and monitoring of progression of cardiac autonomic neuropathy, CAN, in diabetes patients. Our experiments relied on an extensive database and concentrated on ensembles of ensembles, or multi-level meta classifiers, for the classification of cardiac autonomic neuropathy progression. First, we carried out a thorough investigation comparing the performance of various base classifiers for several known sets of the most essential features in this database and determined that Random Forest significantly and consistently outperforms all other base classifiers in this new application. Second, we used feature selection and ranking implemented in Random Forest. It was able to identify a new set of features, which has turned out better than all other sets considered for this large and well-known database previously. Random Forest remained the very best classier for the new set of features too. Third, we investigated meta classifiers and new multi-level meta classifiers based on Random Forest, which have improved its performance. The results obtained show that novel multi-level meta classifiers achieved further improvement and obtained new outcomes that are significantly better compared with the outcomes published in the literature previously for cardiac autonomic neuropathy.

All the forest's a bug's stage

Review: Cirque du Soleil's OVO