Employment discrimination against transgender people and self-esteem.

The evocation of gender identity in company anti-discrimination policies is still very rare. This observation is also true forscientific studies. Very few researches have focused exclusively on transgender employees. Transgender are neither sick nor lesscompetent, and yet, the feeling of being strongly discriminated is shared by many transgender people. Such discrimination and thetype of causal attribution do not remain without any effect on the well-being of the concerned individuals. According to Crocker &Quinn (1998), the attribution of the discrimination to the existing prejudices may be a way to protect one-self from the negativeimpact on self-esteem. In this theoretical scope, the "rejection-identification" model (Branscombe, Schmitt & Harvey, 1999) has beenhighly mobilized. It emphasizes the importance of ingroup identification in the causal relationship between perceived discriminationsituation and well-being. Previous studies which did test this model show that the identification to a certain group can counteract thenegative effects on well-being. Following this theoretical frame, the presented study examines the impact of different types of causalattributions on self-esteem: internal causes (e.g. lack of skills), external causes (e.g. economic crisis), and gender identity relatedissues. For that purpose, an online survey has been created and fulfilled by 110 transgender people. Different scales were used to testthe model: the Rosenberg self-esteem scale, a causal attribution scale, the perceived discrimination of the transgender population inthe workplace scale and a group identification scale. The results show that transgender people feel still highly stigmatized today andattribute, significantly, the causes of their situation to the prejudices they are victim of. Also, in accordance with the “rejectionidentification”model, three links are observed: (1) a negative link between perceived discrimination and self-esteem; (2) a positivelink between perceived discrimination and ingroup identification; and (3) a positive link between ingroup identification and selfesteem.This situation reflects a lack in diversity considerations. Nevertheless, the attribution made to group stigmatization seems toplay a protective role towards transgender people self-esteem.

Self-organized vegetation patterning as a fingerprint of climate and human impact on semi-arid ecosystems

Spatially periodic vegetation patterns are well known in arid and semi-arid regions around the world. Mathematical models have been developed that attribute this phenomenon to a symmetry-breaking instability. Such models are based on the interplay between competitive and facilitative influences that the vegetation exerts on its own dynamics when it is constrained by arid conditions, but evidence for these predictions is still lacking. Moreover, not all models can account for the development of regularly spaced spots of bare ground in the absence of a soil prepattern. We applied Fourier analysis to high-resolution, remotely sensed data taken at either end of a 40-year interval in southern Niger. Statistical comparisons based on this textural characterization gave us broad-scale evidence that the decrease in rainfall over recent decades in the sub-Saharan Sahel has been accompanied by a detectable shift from homogeneous vegetation cover to spotted patterns marked by a spatial frequency of about 20 cycles km-1. Wood cutting and grazing by domestic animals have led to a much more marked transition in unprotected areas than in a protected reserve. Field measurements demonstrated that the dominant spatial frequency was endogenous rather than reflecting the spatial variation of any pre-existing heterogeneity in soil properties. All these results support the use of models that can account for periodic vegetation patterns without invoking substrate heterogeneity or anisotropy, and provide new elements for further developments, refinements and tests. This study underlines the potential of studying vegetation pattern properties for monitoring climatic and human impacts on the extensive fragile areas bordering hot deserts. Explicit consideration of vegetation self-patterning may also improve our understanding of vegetation and climate interactions in arid areas. © 2006 The Authors.