Spatiotemporal distribution and influencing factors of Chinese marine protected areas under a social-ecological system framework DOI Creative Commons
Mingbao Chen, Zhibin Xu, Yuhao Wang

и другие.

Frontiers in Marine Science, Год журнала: 2025, Номер 12

Опубликована: Май 26, 2025

Introduction Despite China’s devotion to marine biodiversity by conserving 12.98% of its seas, recent years saw the more flattened growth protected area (MPA) establishment. Understanding establishment mechanisms MPAs is crucial for protecting wildlife and achieving balanced conservation development. However, traditional linear or generalized models are insufficient capture complex nonlinear effects between ecosystems society. Methods Adapting social-ecological system (SES) framework, from perspective public goods decision-making, this paper uses overdispersion-robust Poisson pseudo-maximum likelihood (PPML) regressions with high-dimensional fixed study distribution pattern factors influencing MPA in 49 Chinese coastal cities that built during 1998-2020. It also developed a mathematically based algorithm locate thresholds where change. Results show GDP over ¥55 billion (1998-based, equal ¥106.5 2020) be conducive establishment, while built-up areas 63 km² antagonistic Illustrated an N-shaped curve, article supplements previous studies U-shaped environmental Kuznets curve providing new theoretical insights perspective. Discussion Drawing on results, practical implications were given balance development, spatial-ecological socioeconomic alignment top-down adaptive governance, list prioritized receive fund as 2030 looms. The conclusions pertain global development merit future deepen research higher-order interactions dynamics.

Язык: Английский

A Bayesian framework linking perceived social-ecological effectiveness to stakeholder acceptance in China's Sousa chinensis protected areas DOI Creative Commons
Mingbao Chen, Zhibin Xu

Journal of Environmental Management, Год журнала: 2025, Номер 387, С. 125839 - 125839

Опубликована: Май 23, 2025

Enhancing stakeholder acceptance of marine protected areas (MPAs) is key to fulfilling the 30 × Target, ocean-related Sustainable Development Goals, and UN Decade Ocean Science for (2021-2030). These require MPAs not merely as management interventions, but also social-ecological systems (SESs), where effectiveness complex coupling social ecological through interactions. However, relationships between perceived are often indirect mediated, while traditional models can yield statistical instabilities, risking false conclusions. This article tentatively proposes a partially informative Bayesian posterior framework with three steps five criteria, using theoretically based regulator formula an inverse-Wishart prior in penalized likelihood function stricter estimates. Using field surveys remote sensing data China's Sousa chinensis MPAs, study explores proposed perceptions. estimates improved model convergence, positive definiteness nonsingularity, revealing average 63 % underestimation standard errors. Monte Carlo bootstrapping suggested chain mediation layered mechanisms, whereby related stakeholder-MPA interaction. Practical implications include socially effective conservation, community-based activities, monitoring by scientific community. The more methods may offer preliminary insights broader biological conservation settings practices, subject contextual adaptations.

Язык: Английский

Процитировано

0
Spatiotemporal distribution and influencing factors of Chinese marine protected areas under a social-ecological system framework DOI Creative Commons
Mingbao Chen, Zhibin Xu, Yuhao Wang

и другие.

Frontiers in Marine Science, Год журнала: 2025, Номер 12

Опубликована: Май 26, 2025

Introduction Despite China’s devotion to marine biodiversity by conserving 12.98% of its seas, recent years saw the more flattened growth protected area (MPA) establishment. Understanding establishment mechanisms MPAs is crucial for protecting wildlife and achieving balanced conservation development. However, traditional linear or generalized models are insufficient capture complex nonlinear effects between ecosystems society. Methods Adapting social-ecological system (SES) framework, from perspective public goods decision-making, this paper uses overdispersion-robust Poisson pseudo-maximum likelihood (PPML) regressions with high-dimensional fixed study distribution pattern factors influencing MPA in 49 Chinese coastal cities that built during 1998-2020. It also developed a mathematically based algorithm locate thresholds where change. Results show GDP over ¥55 billion (1998-based, equal ¥106.5 2020) be conducive establishment, while built-up areas 63 km² antagonistic Illustrated an N-shaped curve, article supplements previous studies U-shaped environmental Kuznets curve providing new theoretical insights perspective. Discussion Drawing on results, practical implications were given balance development, spatial-ecological socioeconomic alignment top-down adaptive governance, list prioritized receive fund as 2030 looms. The conclusions pertain global development merit future deepen research higher-order interactions dynamics.

Язык: Английский

Процитировано

0