Large Ecosystem Service Benefits of Assisted Natural Regeneration

China manages the largest monoculture plantations in the world, with 24% being Chinese fir plantations. Maximizing the ecosystem services of Chinese fir plantations has important implications in global carbon cycle and biodiversity protection. Assisted natural regeneration (ANR) is a practice to convert degraded lands into more productive forests with great ecosystems services. However, the quantitative understanding of ANR ecosystem service benefits is very limited. We conducted a comprehensive field manipulation experiment to evaluate the ANR potentials. We quantified and compared key ecosystem services including surface runoff, sediment yield, dissolved organic carbon export, plant diversity, and aboveground carbon accumulation of ANR of secondary forests dominated by Castanopsis carlesii to that of Chinese fir and C. carlesii plantations. Our results showed that ANR of C. carlesii forest reduced surface runoff and sediment yield up to 50% compared with other young plantations in the first 3 years and substantially increased plant diversity. ANR also reduced the export of dissolved organic carbon by 60–90% in the first 2 years. Aboveground biomass of the young ANR forest was approximately 3–4 times of that of other young plantations, while aboveground biomass of mature ANR forests was approximately 1.4 times of that of mature Chinese fir plantations of the same age. If all Chinese fir plantations in China were replaced by ANR forests, potentially 0.7 Pg more carbon will be stored in aboveground in one rotation (25 years). The results indicate that ANR triggers positive feedbacks among soil and water conservation, biodiversity protection, and biomass accumulation and thereby enhances ecosystem services

Corporate social responsibility disclosures in international construction business: trends and prospects

There is increasing sophistication in corporate social responsibility (CSR) disclosures by international construction companies (ICCs). Nevertheless, a systematic analysis of the trends and prospects is yet to appear. This study fills that knowledge gap by providing an understanding of the idiosyncrasies of CSR disclosure and by offering suggestions for future reporting exercises. By examining the top fifty ICCs’ CSR/sustainability reports using content analysis, it found that the more negative impacts a company may have, the more remedial strategies it will disclose in a CSR report. ICCs from economically more developed countries maintain a high level of CSR disclosure, while their counterparts from developing countries have caught up in this CSR cause. As a way to improve the consistency and integrity of disclosed information, ICCs are increasingly adopting CSR reporting guidance frameworks and using third-party assurances. CSR disclosures present a high degree of uniformity while they also show nuanced and intriguing diversity. This research helps understand comprehensively the trends of CSR disclosure in international construction. It will help ICCs extrapolate their future CSR reporting exercises.postprin

Bifactor analysis of motivation for charity sport event participation

The purpose of this study was to examine the utility of the existing subscales of charity sport events (CSEs) participation motivation by adopting both a second-order modeling and a bifactor modeling approaches. The results with 488 college students revealed that the bifactor model provided a better interpretation of the data compared to second-order model. The five-factor CSE motivation significantly predict the intention to participate in CSEs along with two domain-specific motivations, namely ‘sport and event’ and ‘cause’ while other three domain-specific motivations including ‘philanthropic’, ‘social interaction’, and ‘reference group’ are not statistically significant predictors. The results suggest that the bifactor model is more useful in predicting this group’s participation in charity sport events. © 2015, Springer-Verlag Berlin Heidelberg

Effects of physical education, extracurricular sports activities, and leisure satisfaction on adolescent aggressive behavior: A latent growth modeling approach

The present study aimed to investigate the longitudinal influence of physical education classes, extracurricular sports activities, and leisure satisfaction on aggressive behavior among South Korean adolescents. Data were drawn from the Korea Youth Panel Survey. We used latent growth curve modeling to explain the growth trajectory of adolescent aggressive behaviors and a multi-group analysis to investigate gender differences in aggressive behavior. The results indicated that adolescents' aggressive behavior significantly changed with age. There were significant gender-based differences in the level of and changes in aggressive behavior over time. Both extracurricular sports activities and leisure satisfaction had significant influences on the changes in adolescents' aggressive behavior with age, whereas physical education classes did not

The voice from users of running applications: An analysis of online reviews using Leximancer

This study aimed to examine users’ experiences of using running applications. A total of 20,243 online reviews posted by running-application users were collected from the Google Play Store. The data were analyzed using Leximancer to conduct the qualitative content analysis. The software identified six themes of running-app users’ experiences: “app”, “use”, “track”, “free”, “ads”, and “support”. Moreover, the results showed that users were generally positive toward the usefulness of running applications’ functions. The findings of this study help designers better understand running application users’ experience and improve running applications’ features in order to optimize users’ exercise experience.This work was supported by the National Research Foundation of Korea (NRF-2021S1A5C2A02089245)

Exercise Participation during the COVID-19 Pandemic: Anxiety, Stress, and Precautionary Behavior

Understanding emotion is critical, as it influences behavioral responses. In particular, anxiety is one of the most significant factors affecting individuals’ behavior during a pandemic situation. However, the effect of coronavirus anxiety on exercise behaviors has not been extensively explored in the extant literature. Therefore, this study examined the relationships among coronavirus anxiety, stress, precautionary behavior, and exercise participation. A total of 307 responses were collected from individuals who experienced the full length of the circuit breaker in Singapore. Data were analyzed using partial least squares structural equation modeling (PLS-SEM). Results showed that coronavirus anxiety had positive effects on stress and precautionary behavior. In addition, precautionary behavior played a mediating role in the relationships among coronavirus anxiety, stress, and exercise participation. The findings of this study identify how COVID-19 affected exercise participation during that period and suggest strategies to promote exercise participation, which would benefit individuals and governments

Demographic variables.

<p>Demographic variables.</p