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3 results for “Land-use management”
BBN designed to develop future land-use scenarios for the Sierra Nevada under different environmental and management conditions
<p>Land-use change (deforestation for crops and pastures, reforestation, firewood removal, etc.) constitutes one of the primary drivers of global change, since human activity is to a greater or lesser degree altering the vegetation cover of the planet. The combined effects of climate change and shifts in land use determine the distribution and structure of the vegetation of the Sierra Nevada, and the associated ecosystem services. The surface cover of tree formations in Sierra Nevada has expanded from 15% to 51.23% over the last 60 years. Similarly, a densification of the scattered tree cover and the natural forests and a decline in the surface area occupied by cultivated fields (from 17.8% to 4.72%) has occurred in the last six decades (Zamora, et al, 2016). Therefore, it is important to ascertain future land use change and its effects on the vegetation cover. </p><p>The main purpose of this model is to facilitate the land-use management of Protected Areas (PAs) based on ecosystem services (ES). A BBN is being designed to develop future land-use scenarios for the Sierra Nevada under different environmental and management conditions. Afterwards, we will implement these scenarios in other ES assessment models. The analysis of ES trade-offs in several scenarios will help managers to predict the state of ES and their relations in the future.</p>
Species functional data and species distribution model projections for future land-use and fire management scenarios in the Transboundary Biosphere Reserve Gerês-Xurés
<p>The data includes nine functional traits and species distribution model projections for 102 species of vertebrates (amphibians, birds, and reptiles) in the Transboundary Biosphere Reserve Gerês-Xurés. The model projections are available for 2050 under six different land-use and fire management scenarios, namely two land-use scenarios of “business-as-usual” (BAU; ongoing trends of land abandonment) and “High Nature Value farmlands” (HNV), each under three fire management scenarios (low suppression - LS, current fire suppression - CS, and high fire suppression - HS). The species distribution projections for each scenario are presented as matrices of species presences/absences, obtained after reclassifying consensus predictions of species distribution models.</p>
Effectiveness of agri-environmental management on pollinators is moderated more by ecological contrast than by landscape structure or land-use intensity
<p>Study dataset</p>
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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.