Browsing by Author "Zhang, Quan"

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    The mental health of transgender and gender non-conforming people in China: a systematic review
    Lin, Yezhe; Xie, Hui; Huang, Zimo; Zhang, Quan; Wilson, Amanda; Hou, Jiaojiao; Zhao, Xudong; Wang, Yuanyuan; Pan, Bailin; Liu, Ye; Han, Meng; Chen, Runsen (Elsevier, 2021-12)
    Transgender and gender non-conforming (TGNC) individuals are at a high risk of adverse mental health outcomes due to minority stress-the stress faced by individuals categorised as stigmatised social minority groups. This systematic review sought to summarise the key mental health findings of the research on TGNC individuals in mainland China. We also aimed to consolidate research on the topic, identify specific mental health disparities, and offer new perspectives for future research to inform both policy and dinical practice. An extensive search of the literature, published in English and Chinese, was done between jan 1, 1990, and Aug 1, 2021, using PubMed, PsycINFO, Scopus, Wanfang (in Chinese), and CNKI (in Chinese). Overall, two qualitative and 28 quantitative articles were identified. The quantitative findings showed a high prevalence of mental health problems, such as depression, anxiety, substance use disorders, and stress-related issues, and greater disparities in psychological wellbeing. High prevalence is also reported in suicidality and self-harm behaviours in this group. Across the two qualitative studies, attributable factors included gender-related discrimination, barriers to accessing health services, low social support, decreased knowledge and awareness of HIV prevention, and demographic characteristics-such as marital status, educational level, and gender identity. This Review also found little evidence of gender-affirming care and mental health interventions in mainland China. Following from these results, the next step is to integrate multi-level, social-psychological interventions with education to reduce cultural stereotypes and transphobia in mainland China. Political and social implications are also discussed to inform a standard set of guidelines for transgender-indusive health-care services, including advocating for funding to create these special care programmes and services.
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    Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks
    Chu, Housen; Baldocchi, Dennis D.; Poindexter, Cristina; Abraha, Michael; Desai, Ankur R.; Bohrer, Gil; Arain, M. Altaf; Griffis, Timothy; Blanken, Peter D.; O'Halloran, Thomas L.; Thomas, R. Quinn; Zhang, Quan; Burns, Sean P.; Frank, John M.; Christian, Dold; Brown, Shannon; Black, T. Andrew; Gough, Christopher M.; Law, Beverly E.; Lee, Xuhui; Chen, Jiquan; Reed, David E.; Massman, William J.; Clark, Kenneth; Hatfield, Jerry; Prueger, John; Bracho, Rosvel; Baker, John M.; Martin, Timothy A. (2018-09-16)
    Aerodynamic canopy height (h(a)) is the effective height of vegetation canopy for its influence on atmospheric fluxes and is a key parameter of surface-atmosphere coupling. However, methods to estimate h(a) from data are limited. This synthesis evaluates the applicability and robustness of the calculation of h(a) from eddy covariance momentum-flux data. At 69 forest sites, annual h(a) robustly predicted site-to-site and year-to-year differences in canopy heights (R-2=0.88, 111site-years). At 23 cropland/grassland sites, weekly h(a) successfully captured the dynamics of vegetation canopies over growing seasons (R-2>0.70 in 74site-years). Our results demonstrate the potential of flux-derived h(a) determination for tracking the seasonal, interannual, and/or decadal dynamics of vegetation canopies including growth, harvest, land use change, and disturbance. The large-scale and time-varying h(a) derived from flux networks worldwide provides a new benchmark for regional and global Earth system models and satellite remote sensing of canopy structure. Plain Language Summary Vegetation canopy height is a key descriptor of the Earth surface and is in use by many modeling and conservation applications. However, large-scale and time-varying data of canopy heights are often unavailable. This synthesis evaluates the applicability and robustness of the calculation of canopy heights from the momentum flux data measured at eddy covariance flux tower sites (i.e., meteorological observation towers with high frequency measurements of wind speed and surface fluxes). We show that the aerodynamic estimation of annual canopy heights robustly predicts the site-to-site and year-to-year differences in canopy heights across a wide variety of forests. The weekly aerodynamic canopy heights successfully capture the dynamics of vegetation canopies over growing seasons at cropland and grassland sites. Our results demonstrate the potential of aerodynamic canopy heights for tracking the seasonal, interannual, and/or decadal dynamics of vegetation canopies including growth, harvest, land use change, and disturbance. Given the amount of data collected and the diversity of vegetation covered by the global networks of eddy covariance flux tower sites, the flux-derived canopy height has great potential for providing a new benchmark for regional and global Earth system models and satellite remote sensing of canopy structure.