"In place of a distributive justice perspective which focuses simply on equal access to universities, this book presents a broader understanding of the relationship between Chinese higher education and economic and social change. The necessity for research on the place of universities in contemporary Chinese society may be seen from current debates about and policy towards issues of educational inequality at Chinese universities. Many questions arise as a consequence: What are the limitations of neo-liberalism in higher education policy and what are the alternatives? How has the Chinese government met the challenges of educational inequality, and what lessons may be learned from its recent initiatives? How may higher education enhance social justice in Chinese society given economic, social, and cultural inequality? What may be learned from the experience of Macau, Hong Kong, and of Taiwan in terms of achieving social justice in Chinese universities? These questions are considered by a group of leading scholars from both inside and outside China"--
Context In south-eastern Australia, the abundance and distribution of non-native sambar deer (Cervus unicolor) has increased dramatically in alpine environments. As a result, significant concern surrounds the potential for the species to impact rare plant species and vegetation communities through browsing. Aims We aimed to determine the diversity of the plant species eaten by sambar deer in the Alpine National Park and to understand any spatial and temporal variation in deer diets. Methods We collected 90 sambar deer faecal pellet samples over a 3-month flowering period across two contrasting study sites with differing elevation, vegetation and underlying geology. We performed DNA sequencing using the ITS2 gene region and assigned dietary items to the lowest taxonomic level possible. The frequency of occurrence and sequencing read depth of each dietary item was calculated to investigate the diet of sambar deer at spatial and temporal scales, and dietary preferencing was assessed by comparing the frequency of occurrence of dietary items to the observation records for each dietary item in the study area. Key results We detected a total of 369 unique plant Operational Taxonomic Units (OTUs) from sambar deer faecal samples, representing 35 families and 80 genera. Considerable variation in the diet was observed over small spatial scales, and evidence of temporal diet variation was noted in one of the study sites. We detected Silky Snow-daisy (Celmisia sericophylla), which is currently listed as critically endangered under the Victorian Flora and Fauna Guarantee Act 1988, and Hawkweed (Pilosella spp.), a highly invasive, non-native taxon that is sparingly established in Alpine ecosystems. Conclusions Sambar deer displayed an intermediate feeder behaviour in alpine environments, foraging on a variety of forbs and shrubs, but forbs were the dominant dietary items. The spatial variation observed in the diet of sambar deer suggests that individual deer are unlikely to be dispersing widely while foraging. Implications Our results emphasise the need for careful evaluation of sambar deer impacts within individual sites and at small spatial scales. The detection of species of conservation significance in the diet indicates that the presence of sambar deer should be considered a significant risk to biodiversity in areas of high conservation value.
We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge. ; Funding Agencies|Australian Research CouncilAustralian Research Council [FT160100113, DE170100208, FT100100910]; National Collaborative Research Infrastructure Strategy (NCRIS)Australian GovernmentDepartment of Industry, Innovation and Science
