On Lessons from Water Recharge Projects in Mexico: Science-Policy Collaboration and Stakeholder Participation

Water, Год журнала: 2022, Номер 15(1), С. 106 - 106

Опубликована: Дек. 28, 2022

Analyzing collaborative practices among water governance institutions is key to generating timely information for stakeholders, policymakers, and researchers -as these are rethinking their goals network structures find the most productive avenues collective work. This study draws on existing collaboration theories characterize analyze science-policy interactions between researchers, managers, non-governmental organizations, consultants who have participated or currently participate in management recharge projects Mexico. We sampled 70 people that had worked working eight Mexican states three broad regions: Baja California, California Sur, Chihuahua, Sonora (northern); Estado de Mexico, San Luis Potosí, Mexico City (central); Oaxaca (southern). Participants represented research institutions, universities, federal, state, municipal governments, consultants. The data were collected using a mixed-methods approach (i.e., semi-structured interviews; online surveys). identified organizations critical effectively developing implementing projects. Our results trust stakeholder participation elements building relationships. Finding ways supersede structural challenges promote sectors interagency with responsibilities will help achieve environmental policy increase development across

Язык: Английский

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Improving Detection of Changepoints in Short and Noisy Time Series with Local Correlations: Connecting the Events in Pixel Neighbourhoods

Journal of Agricultural Biological and Environmental Statistics, Год журнала: 2023, Номер 28(3), С. 564 - 590

Опубликована: Май 16, 2023

Abstract Detecting changepoints in time series becomes difficult when the are short and observation variance is high. In context of environmental resource maps, it often safe to assume that abrupt events spatially continuous, so changepoints. We propose utilise this assumption by means hierarchical models where modelled using a spatial model. demonstrate utility approach constructing Bayesian model based on Potts model, with additional assumptions relevant changepoint detection national multi-source forest inventory maps. discuss implementation issues idea’s performance simulation study. then apply maps order detect felling events.

Язык: Английский

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“More than Policy Neutral”: Justifying the Power of Science-Policy Interfaces Through Legitimacy

Опубликована: Янв. 1, 2023

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Язык: Английский

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Tropical deforestation: Does researchers' direct engagement with decision makers yield more policy impact and what are trade-offs with scientific independence?

Forest Policy and Economics, Год журнала: 2022, Номер 141, С. 102759 - 102759

Опубликована: Июнь 7, 2022

Язык: Английский

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