Using geographic information systems to make transparent and weighted decisions on pit development: incorporation of interactive economic, environmental, and social factors

A geographic information systems platform with an analytical hierarchy process was employed to rank the importance of different economic, environmental, and social factors involved in choosing the location of an open-pit operation within a small county in the province of Ontario, Canada. Weighted environmental (hydraulic conductivity, soil types, slope, and elevation) and social (distance from population zones) overlays were combined and then compared against a map of potential sources of sand and gravel deposits (economic factor) to locate the most ideal location for a pit. This resulted in the delineation of four ideal locations for the operation in the north of the county. Here, permeability values are low and there are no major population centres. The decision-making tool developed here has the ability to adapt to changing social and (or) environmental criteria and could greatly improve transparency in natural resource management decisions. The largest limitation to this decision-making tool is that it treats all water sources as equal. As research continues to identify different ecosystem services (i.e., acid neutralization, low contamination source waters, and high biological diversity) for different types of waterways, a ranking scheme could be added along the lines of high versus low conservation priorities for nonrenewable freshwater lake and river resources.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

Content analysis of Reddit posts about coadministration of selective serotonin reuptake inhibitors and psilocybin mushrooms

RationaleTreatments with the serotonergic psychedelic psilocybin are being investigated for multiple neuropsychiatric disorders. Because many patients with these disorders use selective serotonin reuptake inhibitors (SSRIs), understanding interactions between psilocybin and SSRIs is critical for evaluating the safety, efficacy, and scalability of psilocybin-based treatments. Current knowledge about these interactions is limited, as most clinical psilocybin research has prohibited concomittant SSRI use.ObjectivesWe aimed to explore potential interactions between psilocybin and SSRIs by characterizing peoples' real-world experiences using psilocybin mushrooms and SSRIs together.MethodsWe conducted a systematic search of Reddit for posts describing psilocybin mushroom and SSRI coadministration. We identified 443 eligible posts and applied qualitative content analysis to each.Results8% of posts reported negative physical or psychological effects resulting from coadministration. These included 13 reports that may reflect serotonin toxicity, and 1 concerning for a psychotic/manic episode. 54% of posts described reduced intensity of the acute psilocybin experience, but 39% reported unchanged intensity with SSRI coadministration.ConclusionsPsilocybin's interactions with SSRIs are likely complex and may depend on multiple factors. Prospective studies are needed to evaluate whether psilocybin treatments are reliably safe and effective in the setting of SSRI use

A REVIEW OF THE CURRENT STATE OF PROCESS-BASED AND DATA-DRIVEN MODELLING: GUIDELINES FOR LAKE ERIE MANAGERS AND WATERSHED MODELLERS

We present a comprehensive evaluation of eleven process-based models to characterize the water cycle, nutrient fate and transport within a watershed context, and to find a robust and replicable way to optimize the modelling strategy for the Lake Erie watershed. Our primary objective is to review the conceptual/technical strengths and weaknesses of the individual models to reproduce surface runoff, groundwater, sediment transport, nutrient cycling, channel routing and collectively guide the management in Lake Erie Basin. Our analysis suggests that the available models either opted for simpler approximations of the multifaceted, non-linear dynamics of nutrient fate and transport and instead placed more emphasis on the advanced representation of the water cycle, or introduced a greater degree of biogeochemical complexity but simplified their strategies to recreate the role of critical hydrological processes. Notwithstanding its overparameterization problem, MIKE-SHE provides the most comprehensive 3D representation of the interplay between surface and subsurface hydrological processes with a fully dynamic description, whereby we can recreate the solute transport that infiltrates from the surface to the unsaturated soil layer and subsequently percolates into the saturated layer. Likewise, the physically based submodels designed to represent the sediment detachment and erosion/removal processes (DWSM, HBV-INCA, HSPF, HYPE and MIKE-SHE), offer a distinct alternative to USLE-type empirical strategies. The ability to explicitly simulate the daily plant growth (SWAT and APEX) coupled with a dynamic representation of soil P processes can be critical when evaluating the long-term watershed responses to various agricultural management strategies. While our propositions seem to favor the consideration of complex models that may lack the commensurate knowledge to properly characterize the underlying processes, we contend this issue can be counterbalanced by the joint consideration of simpler empirical models, under an ensemble framework, that can both constrain the plausible values of individual processes and validate macroscale patterns. Finally, our study discusses critical facets of the watershed modelling work in Lake Erie, such as the role of legacy P, the challenges in reproducing spring-freshet or event-flow conditions, and the dynamic characterization of water/nutrient cycles under the non-stationarity of a changing climate.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author