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9 results for “environmental justice”
An Innovative Scheme to Confront the Trade‐Off Between Water Conservation and Heat Alleviation With Environmental Justice for Urban Sustainability: The Case of Phoenix, Arizona
<p><em><strong>The manuscript for this dataset is accepted by AGU Advances and can be accessed here: <a href="https://doi.org/10.1029/2022AV000816">link</a>. Please cite the literature when using the datasets.</strong></em></p> <p><strong>How to cite this article: Yuanhui Zhu, Soe Myint, Xin Feng, Yubin Li. An Innovative Scheme to Confront the Trade‐Off Between Water Conservation and Heat Alleviation With Environmental Justice for Urban Sustainability: The Case of Phoenix, Arizona. AGU Advances, 4, e2022AV000816. <a href="https://doi.org/10.1029/2022AV000816">https://doi.org/10.1029/2022AV000816</a></strong></p> <p>This study aims to develop a practical and integrated framework to tackle the tradeoff between land surface temperature (LST) reduction and water conservation for heat mitigation and resilience planning in Phoenix, Arizona. We developed a multi-objective framework of spatial optimization for priority areas that considers environmental justice. We employed the priority areas (i.e., residential districts, socio-economically disadvantaged neighborhoods, hotspot regions, and opportunity areas), ECOSTRESS-based LST, actual evapotranspiration (ETa, as a proxy to water use), Landsat-based LST and ETa changes (2000–2020), and the evaporative stress index (ESI). These datasets are used to identify the priority areas in which environmental conditions need to be improved seriously and (2) spatially optimize the placement of new green space (tree %, grass %) in the priority areas to realize the most significant LST reduction and minimum OWU. We provide the results of the new green space configurations with the scenarios for the percentage of new vegetation coverage (including trees and grass) overall increased to 25%, 35%, and 45% within the entire study areas, residential districts, socio-economically disadvantaged neighborhoods, and hotspot regions.</p> <table> <caption>The dataset summarization</caption> <tbody> <tr> <td>Category</td> <td>Dataset</td> <td>Resolution</td> <td>Source/method</td> <td>Time</td> </tr> <tr> <td>Environmental database</td> <td>Summer daytime LST</td> <td>70m</td> <td>ECOSTRESS</td> <td>2019</td> </tr> <tr> <td>Environmental database</td> <td>Summer nighttime LST</td> <td>70m</td> <td>ECOSTRESS</td> <td>2019</td> </tr> <tr> <td>Environmental database</td> <td>Summer ETa</td> <td>70m</td> <td>ECOSTRESS</td> <td>2019</td> </tr> <tr> <td>Environmental database</td> <td>Summer ESI</td> <td>70m</td> <td>ECOSTRESS</td> <td>2019</td> </tr> <tr> <td>Environmental change database</td> <td>Trends of summer LST changes</td> <td>30m</td> <td>Landsat-based Statistical Mono-Window algorithm</td> <td>2000-2020</td> </tr> <tr> <td>Environmental change database</td> <td>Trends of summer ETa changes</td> <td>30m</td> <td>Landsat-based Simplified Surface Energy Balance</td> <td>2000-2020</td> </tr> <tr> <td>The results of new green space configurations</td> <td>The spatial distributions of new green space</td> <td>--</td> <td>Spatial optimization</td> <td>--</td> </tr> </tbody> </table> <p>note: LULC: Land use and land cover; LST: Land Surface Temperature; ETa: Actual Evapotranspiration; ESI: Evaporative Stress Index</p> <p>We provide the different scenarios in shapefile format for spatial distributions of new space configurations. The naming convention for attribute tables in shapefile is :</p> <p>VV_new_perNN_LSTWW</p> <p>where:</p> <ul> <li>VV = New vegetation for tree or grass</li> <li>NN = The scenarios with new vegetation increased to 25%, 35%, or 45% (unit: %)</li> <li>WW = The weight values of land surface temperature range from 0 to 1 (unit: %) when executing spatial optimization for the tradeoff between land surface temperature reduction and outdoor water use conservation with vegetation coverage. The weight of 0 represents that our spatial optimization models only focus on outdoor water use conservation, and the weight of 1 denotes that we only consider land surface temperature reduction. </li> </ul> <p>Example: grass_new_per25_LST65 means -- new vegetation for grass; the scenario is set up by new vegetation increased to 25%; the weight of land surface temperature is 0.65. </p> <p> </p>
Data From: Emissions redistribution and environmental justice implications of California's Clean Vehicle Rebate Project
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Supplementary material: for Using anticipation to unveil drivers of local livelihoods in Transfrontier Conservation Areas: a call for more environmental justice
<ol> <li> <span>Calling on the concept of environmental justice in its </span><span>distributive, procedural, and recognition</span><span> dimensions, </span><span>w</span><span>e implemented a collaborative scenario-building approach to explore sustainable livelihood pathways in four sites belonging to two Transfrontier Conservation Areas (TFCAs) in southern Africa. </span> </li> <li><span>Grounded on participation and transdisciplinarity, as a foundation for decolonised anticipatory action research, we aimed at stimulating knowledge exchange and providing insights on the future of local livelihoods by engaging experts living within these TFCAs. </span></li> <li><span>Our results show that wildlife and wildlife-related activities are not seen as the primary drivers of local livelihoods, despite the focus and investments of dominant stakeholders in these sectors. Instead, local governance and land use regulations emerged as key drivers in the four study sites. The state of natural resources, including water, and appropriate farming systems also appeared critical to sustain future livelihoods in TFCAs, together with the recognition of indigenous culture, knowledge, and value systems.</span></li> <li><span>Nature conservation, especially in Africa, is rooted in its colonial past and struggles to free or decolonise itself from the habits of this past despite decades of reconsideration. To date, the enduring coloniality of conservation prevents local citizens from truly participating in the planning and designing of the TFCAs they live in, leaving room for limited benefits to local citizens and often limiting indigenous people's capacity to conserve. </span></li> <li> <span>A practical way forward is to consider environmental justice as a cement between the two pillars of the TFCA concept, i.e.</span><span>nature conservation and socioeconomic development of local or neighbouring communities,</span><span> as part of a more broad and urgent need to rethink the relationships between people in, and with, the rest of nature.</span> </li> </ol>
Supplementary material: for Using anticipation to unveil drivers of local livelihoods in Transfrontier Conservation Areas: a call for more environmental justice
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Water, Dust, and Environmental Justice: The Case of Agricultural Water Diversions - Data
<p>Replication files and code for paper "Water, Dust, and Environmental Justice: The Case of Agricultural Water Diversions". </p>
Environmental Justice, Marine Protected Areas, & Ocean Access in California -- Ocean_Justice
<p>Coastal California is home to a network of Marine Protected Areas (MPAs) that aim to safeguard the state's marine resources and ecosystems. Little is known about who is served and not served by California's MPAs, with large gaps in environmental justice implications. Our study aimed to investigate access to MPAs across communities in California using multiple lines of evidence, with a focus on subsistence fishers (pier fishers and others who do not sell their catch) who are often indirectly marginalized by MPAs. To address this, we 1) conducted a literature review on equity and environmental justice (EEJ) in California's ocean management policies, 2) compared time traveled to MPAs for zip codes of different demographics, 3) conducted a literature review on subsistence fishing in California, and 4) compared demographics of subsistence fishers with intensity of ocean-based pollution linked to fished species. Our EEJ literature review highlighted a gap in policies addressing equitable ocean access. Our spatial analysis revealed disparities in coastal access by age, race, and income. Our subsistence fishing literature review highlighted that little is known about California's current subsistence fishing, though biophysical aspects are better studied than socioeconomic aspects. Our analysis of pollution and subsistence fishing suggested that many subsistence fishers from disadvantaged communities are fishing in areas with high pollution. State and federal agencies can utilize our results to develop effective future management strategies for equitable access to California's MPAs that take disadvantaged communities into account, especially subsistence fishers, to increase their representation in the decision-making process.</p>
Data and code of co-created rooftop harvested rainwater study in AZ environmental justice communities
<p>See README</p>
Environmental Justice, Marine Protected Areas, & Ocean Access in California -- Ocean_Justice
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Planetary Health and Environmental Justice in Construction Career Education
ClinicalTrials.gov study NCT07315919. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.