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51 results for “environmental economics”
Socio-economic and environmental impacts of ants: data to support global assessments
<p>Risk assessments are fundamental to invasive species management and are underpinned by comprehensive characterization of invasive species impacts. Our understanding of the impacts of invasive species is growing constantly, and several recently developed frameworks offer the opportunity to systematically categorize environmental and socio-economic impacts of invasive species. Invasive ants are among the most widespread and damaging invaders. We provide a global, comprehensive assessment on the impacts of ants and propose a priority list of risk species. We used the Socio-Economic Impact Classification for Alien Taxa (SEICAT), Environmental Impact Classification for Alien Taxa (EICAT) and Generic Impact Scoring System (GISS) to analyse 642 unique sources for 100 named species. This dataset includes the raw recrods on which our assessments were based, and some summary data. Other data can be found in the publication.</p>
Global Socio-Economic and Environmental data for PyPSA-Earth: An Open Optimisation Model of the Earth Energy System.
<p><strong>PyPSA-Earth </strong>is an open model dataset of the global power system at different network levels that cover our Earth. The African model can be built using the code provided at <a href="https://github.com/pypsa-meets-africa/pypsa-africa">https://github.com/pypsa-meets-africa/pypsa-africa</a>. Other regions follow soon under the same code base.</p> <p>Since the GitHub codebase is not suited for handling large changing files, we provide here separate <strong>data bundles and cutouts</strong> to be downloaded and extracted as noted in the <a href="https://pypsa-meets-africa.readthedocs.io/en/latest/index.html">documentation</a></p> <p>The below-provided<strong> data files </strong>contain various open data for improving energy system modelling decisions. A thorough description with license restrictions will follow soon.</p>
Data to estimate energy efficiency and environmental friendliness of Ukrainian GDP from indicators of structural, economic, and social development in Ukraine
<p><span>Data to estimate regression dependences of energy efficiency and environmental friendliness of GDP from indicators of structural, economic, and social development in Ukraine </span></p>
Coordination of economics spectra in leaf, stem and root within the genus Artemisia along a large environmental gradient in China
<p>Aim: The plant economics spectrum provides a fundamental framework for understanding functional trait variation along environmental gradients. However, it is unclear whether there is a general whole-plant economics spectrum across organs at the finer taxonomic scale (e.g. within genera), and if there is, which factors affect the trait coordination of the different organs. Here, we examined whether resource economics spectra of different organs (i.e. leaf, stem and root) can be integrated at the whole-plant level within a single genus, and how environment, intraspecific variation and taxonomic scale shape the whole-plant spectrum.</p> <p>Location: China.</p> <p>Time period: 2018.</p> <p>Major taxa studied: Artemisia.</p> <p>Results: Pairwise trait correlations and the trade-off patterns along the resource economic axis were consistent at both organ and whole-plant levels. Environmental gradients did not strongly affect the correlations among leaf, stem and root economics spectra, i.e. the intraspecific variation weakened but did not mask this coordination. Taxonomic scale did not affect the degree of trait coordination as the genus-wide whole-plant economics spectrum also emerged within each of the three subgenera.</p> <p>Main conclusions: Our results support the hypothesis that the coordination of economics spectra across organs forms a whole-plant economics spectrum representing "fast-slow" resource management strategy, which is robust to recent evolution (genotypic variation, even for species within a single genus) and present-day environmental variation. Further studies should elucidate in which circumstances or phylogenetic branches the coordinated pattern found for Artemisia is representative of other widely distributed genera.</p>
Comparison of Different Ventilator and Vaporizer Technologies to Study Economic and Environmental Implications
ClinicalTrials.gov study NCT04851314. IPD Sharing: NO. Countries: 1. Publications: 2.
Data for: Socio-economic and environmental life cycle assessment of complete streets
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Socio-economic and environmental impacts of ants: data to support global assessments
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Coordination of economics spectra in leaf, stem and root within the genus Artemisia along a large environmental gradient in China
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Economic, institutional and environmental drivers of SME development for 21 EU states
<p><span>SMEs are seen as important actors of national and regional development in many countries. This is a panel<span> </span>data set on economic, institutional and environmental drivers of SME development for 21 EU states (Austria, Republic of Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia and Spain) during 2011-2020 . </span></p>
Research data for journal article: Balancing Environmental and Economic Impacts in the rapidly evolving European EV Battery Value Chain
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Data for: Modular environmental and economic assessment applied to the production of Hermetia illucens
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Supplementary material 2 from: Nkuna KV, Visser V, Wilson JRU, Kumschick S (2018) Global environmental and socio-economic impacts of selected alien grasses as a basis for ranking threats to South Africa. NeoBiota 41: 19-65. https://doi.org/10.3897/neobiota.41.26599
Figure S2 : Explanation note: The impact magnitude of the 48 studied alien grasses across different habitats. The impact magnitudes on the x-axis are the least-square means of the impact scores as derived from a cumulative link mixed effects model. On the y-axis are the habitat types impacted by alien grasses and in brackets is the number of species with records in that habitat. The points represent the impact magnitudes and the error bars represent 95 % confidence intervals. Letters on the right side of the confidence intervals are level groupings indicating no significant differences among the habits. Comparisons are Tukey adjusted.
Supplementary material 1 from: Nkuna KV, Visser V, Wilson JRU, Kumschick S (2018) Global environmental and socio-economic impacts of selected alien grasses as a basis for ranking threats to South Africa. NeoBiota 41: 19-65. https://doi.org/10.3897/neobiota.41.26599
Supplementary material 1 from: Nkuna KV, Visser V, Wilson JRU, Kumschick S (2018) Global environmental and socio-economic impacts of selected alien grasses as a basis for ranking threats to South Africa. NeoBiota 41: 19-65. https://doi.org/10.3897/neobiota.41.26599
China's Greener Production Reduces East-to-West Pollution Transfers and Alleviates Environmental-Economic Inequalities
<p>The data contains 1. Pro-andCon-base_APE_Value added (the production- and consumption-based APE and value added in 2007, 2012, 2017, and the change); 2. f_d (the production- and consumption-based emission intensity (<em>f</em>) and value added intensity (<em>d</em>) in 2007, 2012, 2017); 3. REI_REIC (the REI index in 2007 and 2017, and REIC index); 4. ape_flow2007 (the APE flows in 2007); 5. ape_flow2012 (the APE flows in 2012); 6. ape_flow2017 (the APE flows in 2017); 7. ape_flowchange (the change of the APE flows from 2007 to 2017); 8. va_flow2007 (the value added flows in 2007); 9. va_flow2012 (the value added flows in 2012); 10. va_flow2017 (the value added flows in 2017); 11. va_flowchange (the change of the value added flows from 2007 to 2017);</p>
Socio-economic, Meteorological and Environmental Factors Associated With the Incidence of COVID-19
ClinicalTrials.gov study NCT05379621. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Evolution of the leaf economics spectrum in herbs: evidence from environmental divergences in leaf physiology across Helianthus (Asteraceae)
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The Economic and Environmental Benefits of Partial Leasing of Agricultural Water Rights
<p>Code and data used for partial leasing study</p>
Data from: The interrelationship among economic activities, environmental degradation, material consumption, and population health in low-income countries: a longitudinal ecological study
Objectives: The theory of ecological unequal exchange explains how trade and various forms of economic activity create the problem of environmental degradation, and lead to the deterioration of population health. Based on this theory, our study examined the inter-relationship among economic characteristics, ecological footprints, CO2 emissions, infant mortality rates and under-5 mortality rates in low-income countries. Design: A longitudinal ecological study design. Setting: Sixty-six low-income countries from 1980 to 2010 were included in the analyses. Data for each country represented an average of 23 years (N=1497). Data sources: Data were from the World Development Indicators, UN Commodity Trade Statistics Database, Global Footprint Network and Polity IV Project. Analyses: Linear mixed models with a spatial power covariance structure and a correlation that decreased over time were constructed to accommodate the repeated measures. Statistical analyses were conducted separately by sub-Saharan Africa, Latin America and other regions. Results: After controlling for country-level sociodemographic characteristics, debt and manufacturing, economic activities were positively associated with infant mortality rates and under-5 mortality rates in sub-Saharan Africa. By contrast, export intensity and foreign investment were beneficial for reducing infant and under-5 mortality rates in Latin America and other regions. Although the ecological footprints and CO2 emissions did not mediate the relationship between economic characteristics and health outcomes, export intensity increased CO2 emissions, but reduced the ecological footprints in sub-Saharan Africa. By contrast, in Asia, the Middle East and North Africa, although export intensity was positively associated with the ecological footprints and also CO2 emissions, the percentage of exports to high-income countries was negatively associated with the ecological footprints. Conclusions: This study suggested that environmental protection and economic development are important for reducing infant and under-5 mortality rates in low-income countries.
Stability in subtropical forests: the role of tree-species diversity, stand structure, environmental and socio-economic conditions
<p><strong>Aim: </strong>Tree species diversity can increase the stability of ecosystem productivity by increasing mean productivity and/or reducing the standard deviation in productivity. However, stand structure, environmental and socio-economic conditions influence plant diversity and may strongly influence the relationships between diversity and stability in natural forest communities. The relative importance of these factors on community stability remains poorly understood in complex (species-rich) subtropical forests.</p> <p><strong>Location: </strong>Subtropical area of southern China.</p> <p><strong>Time period: </strong>1999-2014.</p> <p><strong>Major taxa studied:</strong> Forest trees.</p> <p><strong>Methods: </strong>We conducted bivariate analyses to examine the mechanisms (overyielding and species asynchrony) underlying the effects of diversity on stability. Multiple regression models were then used to determine the relative importance of tree species diversity, stand structure, socio-economic factors and environmental conditions on stability. Structural equation modeling was used to disentangle how these variables directly and/or indirectly affect forest stability.</p> <p><strong>Results: </strong>Tree species richness exerted a positive effect on stability through overyielding and species asynchrony and this effect was stronger in mountainous forests than that in hilly forests. Species richness positively affected the mean productivity whereas species asynchrony negatively affected the variability in productivity, and hence increased forest stability. Structural diversity also had a positive effect while population density had a negative effect on stability. Precipitation variability and slope mainly indirectly influenced stability through their effects on tree species richness.</p> <p><strong>Main conclusions: </strong>Overall, tree species diversity governed stability; however stand structure, socio-economic and environmental conditions also played an important role in shaping stability in these forests. Our work highlights the importance of regulating stand structure and socio-economic factors in forest management and biodiversity conservation, to maintain and enhance their stability of providing the ecosystem services in the face of unprecedented anthropogenic activities and global climate change.</p>
Supplementary material 1 from: Strokov AS, Potashnikov VY (2022) Environmental tradeoffs of agricultural growth in Russian regions and possible sustainable pathways for 2030. Russian Journal of Economics 8(1): 60-80. https://doi.org/10.32609/j.ruje.8.78331
Maps of main environmental indicators of Russian regional agricultural development
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.