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10 results for “bioeconomic”
0-D BiOeconomic mArine Trophic Size-spectrum (BOATS) model (review version)
<p>This is version 1.0 of the BiOeconomic mArine Trophic Size-spectrum (BOATS) model, a bioenergetically-constrained coupled fisheries-economics model for global studies of harvesting and climate change. The code is written in MATLAB version R2012a. This release contains the zero-dimensional version of the code that models a single oceanic grid cell. This release is part of the peer review for the journal Geoscientific Model Development, which was published as Carozza et al. (2016) [Carozza, D. A., Bianchi, D., and Galbraith, E. D.: The ecological module of BOATS-1.0: a bioenergetically constrained model of marine upper trophic levels suitable for studies of fisheries and ocean biogeochemistry, Geosci. Model Dev., 9, 1545-1565, doi:10.5194/gmd-9-1545-2016, 2016.].</p>
CS3 Land-based abalone IMTA - bioeconomic model South Africa 2022
<p>Data set containing bio-economic modelling results from the estimated growth of land-based abalone fed with IMTA produced macroalgae in South Africa. The dataset contains calculations and modelling of a baseline scenario and four alternative scenarios according to the geographical location of the abalone farm and the feed strategy with or without IMTA macroalgae. Sensitivity analysis for productivity and feed price/FCR is provided.</p>
Data from: Paying for conservation: a bioeconomic analysis of the effects of land management options on the viability of an endangered species, Eryngium alpinum
1. Land management is critical for biodiversity conservation in mountain grasslands. It should be both ecologically effective and economically efficient. We provide an economic analysis of different options (spring and autumn grazing, mowing and abandonment) and their effects on population viability of a rare plant species, Eryngium alpinum (Apiaceae), in two French mountain grassland sites (Fournel and Pralognan). 2. Using data collected in a ten-year, individual-based demographic study, we estimated the effects of land management options on the population growth rate and simulated the effect of combinations of options. Income earned through each option was estimated using data on associated costs (price of consumables, working time, wages) and benefits (forage production, quality and price), and we assessed the economic effects of agri-enviro nment subsidies (AESs). We also simulated the effects of increased frequencies of extreme climatic events (such as the 2003 heatwave). 3. Spring grazing was the worst option for E. alpinum demography but the best in economic terms, as it provided net positive incomes. Autumn grazing was the best option, resulting in positive growth rates and incomes, even if the latter were lower than for spring grazing. Mowing was the second best option for demography but resulted in economic losses for farmers. Abandonment provided zero income and was not favourable to population growth. 4. In Fournel, AESs allowed for economically and ecologically near-optimal combinations of management options. In Pralognan, alternating years of grazing with mowing resulted in an acceptable compromise, with positive growth rates and incomes, but AESs were not sufficient to cover the opportunity cost of spring and autumn grazing. Mowing was also unattractive because of the inaccessibility of the site and impossibility to recover the hay to make forage. 5. Simulations with increased frequency of extreme climatic events resulted in negative growth rates in Pralognan, questioning the continuation of AESs in extinction-prone populations. 6. Synthesis and applications. The conservation effectiveness and economic efficiency of grassland management could be improved by alternating practices over several years. However, existing agri-environment subsidies would barely be sufficient to increase uptake of the most favourable land management options for biodiversity.
Excel code for: Trading off nature for nature-based solutions: The bioeconomics of forest management for wildlife, timber and carbon
<p>This dataset contains MS Excel spreadsheet code used to analyze an integrative model that illustrates the inherent trade-offs that will arise among the competing values for landscape space in a boreal forest ecosystem involving interactions among the main trophic compartments of an intact boreal ecosystem, aka "nature". The model accounts for carbon accumulation via biomass growth of forest trees (timber), carbon loss due to controls from moose herbivory that varies with moose population density (hunting), and soil carbon inputs and release, which together determine net ecosystem productivity (NEP), a measure of carbon sink strength of the ecosystem. We examine how controls on carbon dynamics are altered by forest management for timber harvest, and by moose hunting. We link the ecological dynamics with an economic analysis by assigning a price to carbon stored within the intact boreal forest ecosystem. We then weigh these carbon impacts against the economic benefits of timber production and hunting across a range of moose population densities. Combined, this carbon-bioeconomic program calculates the total ecosystem benefit of a modelled boreal forest system, providing a framework for examining how different forest harvest and moose densities influence the achievement of carbon storage targets, under different levels of carbon pricing.</p>
Multiple co-occurring bioeconomic drivers of overexploitation can accelerate rare species extinction risk
<p>1. The unsustainable harvest of species for the global wildlife trade is a major cause of vertebrate extinction. Through the Anthropogenic Allee Effect, overexploitation to extinction can occur when a species' rarity drives up its market price, enabling profitable harvest of all remaining individuals. Even in the absence of rarity value, however, the harvest of other species can subsidize the overexploitation of a rare species to the point of extinction, a phenomenon termed opportunistic exploitation. These two pathways to extinction have only been considered independently, but many traded species experience them simultaneously.</p> <p>2. In this study, we develop a simple model that incorporates these mechanisms simultaneously and demonstrate that including multiple harvest strategies with market-based feedbacks fundamentally alters rare species extinction risk and the rate at which overexploitation occurs. As a pertinent case study, we consider the harvest of ground pangolins (<em>Smutsia</em> <em>temminckii</em>).</p> <p>3. Our results show that pangolin extinction was generally associated with high rarity value, the use of multiple harvest strategies, and the simultaneous harvest of a common species that has a fast life-history. Pangolin population depletion and short-term extinction risk were greatest when harvesters used a combination of pursuit and opportunistic (i.e. multi-species) harvest strategies.</p> <p>4. Policy implications. Our results suggest that feedbacks between multiple financial incentives to overharvest can exacerbate the risk of extinction of rare species. As a result, continuing to address AAE and opportunistic exploitation as separate extinction pathways may insufficiently capture extinction risk for many exploited species. Criteria for assessing extinction risk or harvest sustainability of exploited species should incorporate multiple drivers of harvest pressure, with an expanded focus on including species with high rarity value that are exploited in multi-species harvest regimes.</p>
Multiple co-occurring bioeconomic drivers of overexploitation can accelerate rare species extinction risk
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Data from: Paying for conservation: a bioeconomic analysis of the effects of land management options on the viability of an endangered species, Eryngium alpinum
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Excel code for: Trading off nature for nature-based solutions: The bioeconomics of forest management for wildlife, timber and carbon
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Database for Bioeconomic models for terrestrial social ecological systems : a review
<p>Data for the replication of our analysis and for anyone who would want to dig into it!</p> <p> </p>
Bioeconomic origin
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.