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192 results for “environmental modelling”
Geographic range estimates and environmental requirements for the harpy eagle derived from spatial models of current and past distribution
<p>Understanding species-environment relationships is key to defining the spatial structure of species distributions and develop effective conservation plans. However, for many species this baseline information does not exist. With reliable presence data, spatial models that predict geographical ranges and identify environmental processes regulating distribution are a cost-effective and rapid method to achieve this. Yet these spatial models are lacking for many rare and threatened species, particularly in tropical regions. The harpy eagle (<i>Harpia harpyja</i>) is a Neotropical forest raptor of conservation concern with a continental distribution across lowland tropical forests in Central and South America.Currently the harpy eagle faces threats from habitat loss and persecution and is categorised as Near-Threatened by the International Union for the Conservation of Nature (IUCN). Within a point process modelling (PPM) framework, we use presence-only occurrences with climatic and topographical predictors to estimate current and past distributions and define environmental requirements using Ecological Niche Factor Analysis. The current PPM prediction had high calibration accuracy (Continuous Boyce Index = 0.838) and was robust to null expectations (pROC ratio = 1.407). Three predictors contributed 96 % to the PPM prediction, with Climatic Moisture Index the most important (72.1 %), followed by minimum temperature of the warmest month (15.6 %) and Terrain Roughness Index (8.3 %). Assessing distribution in environmental space confirmed the same predictors explaining distribution, along with precipitation in the wettest month. Our reclassified binary model estimated a current range size 11 % smaller than the current IUCN range polygon. Paleoclimatic projections combined with the current model predicted stable climatic refugia in the central Amazon, Guyana, eastern Colombia, and Panama. We propose a data-driven geographical range to complement the current IUCN range estimate, and that despite its continental distribution this tropical forest raptor is highly specialized to specific environmental requirements.</p> <p> </p>
Performance and environmental accounting of nutrient cycling models to estimate nitrogen emissions in agriculture and their sensitivity in life cycle assessment
<p>Abstract</p> <p>Purpose</p> <p>Several models are available in the literature to estimate agricultural emissions. From life cycle assessment (LCA) perspective, there is no standardized procedure for estimating emissions of nitrogen or other nutrients. This article aims to compare four agricultural models (PEF, SALCA, Daisy and Animo) with different complexity levels and test their suitability and sensitivity in LCA.</p> <p>Methods</p> <p>Required input data, obtained outputs, and main characteristics of the models are presented. Then, the performance of the models was evaluated according to their potential feasibility to be used in estimating nitrogen emissions in LCA using an adapted version of the criteria proposed by the United Nations Framework Convention on Climate Change (UNFCCC), and other relevant studies, to judge their suitability in LCA. Finally, nitrogen emissions from a case study of irrigated maize in Spain were estimated using the selected models and were tested in a full LCA to characterize the impacts.</p> <p>Results and discussion</p> <p>According to the set of criteria, the models scored, from best to worst: Daisy (77%), SALCA (74%), Animo (72%) and PEF (70%), being Daisy the most suitable model to LCA framework. Regarding the case study, the estimated emissions agreed to literature data for the irrigated corn crop in Spain and the Mediterranean, except N<sub>2</sub>O emissions. The impact characterization showed differences of up to 56% for the most relevant impact categories when considering nitrogen emissions. Additionally, an overview of the models used to estimate nitrogen emissions in LCA studies showed that many models have been used, but not always in a suitable or justified manner.</p> <p>Conclusions</p> <p>Although mechanistic models are more laborious, mainly due to the amount of input data required, this study shows that Daisy could be a suitable model to estimate emissions when fertilizer application is relevant for the environmental study. In addition, and due to LCA urgently needing a solid methodology to estimate nitrogen emissions, mechanistic models such as Daisy could be used to estimate default values for different archetype scenarios.</p>
Environmental (hydrodynamic) conditions on the NW African coast from 3D reanalysis models
<p>This dataset contain hydrodynamic and biogeochemical variables extracted from the CMEMS service (<a href="https://marine.copernicus.eu/">https://marine.copernicus.eu/</a>) covering the NW region of the African coast and the period 1993 to 2019. The environmental dataset include: water temperature, water salinity, u-velocity and v-velocity.</p>
Figure 2 from: Guillaumot C, Martin A, Fabri-Ruiz S, Eléaume M, Saucède T (2016) Echinoids of the Kerguelen Plateau – occurrence data and environmental setting for past, present, and future species distribution modelling. ZooKeys 630: 1-17. https://doi.org/10.3897/zookeys.630.9856
Figure 2 - Distribution of the 12 echinoid species based on the specimens collected since 1872 on the Kerguelen Plateau.
Figure 1 from: Guillaumot C, Martin A, Fabri-Ruiz S, Eléaume M, Saucède T (2016) Echinoids of the Kerguelen Plateau – occurrence data and environmental setting for past, present, and future species distribution modelling. ZooKeys 630: 1-17. https://doi.org/10.3897/zookeys.630.9856
Figure 1 - Sampling effort. Red dots depict echinoid occurrences. Black squares correspond to visited sites at which no echinoid was sampled.
Figure 2 in Environmental niche modelling of the Chinese pond mussel invasion in Europe under climate change scenarios
Figure 2. Response curves of the environmental variables selected for prediction of S. woodiana distribution under the recent climate scenario. Each curve (green line) shows how the logistic prediction changes as each environmental variable is varied. The orange dashed line crosses the maximum value of the variable.
Supplementary material 1 from: Whelan NV, Strong EE, Gladstone NS, Mays JW (2023) Using genomics, morphometrics, and environmental niche modeling to test the validity of a narrow-range endemic snail, Patera nantahala (Gastropoda, Polygyridae). ZooKeys 1158: 91-120. https://doi.org/10.3897/zookeys.1158.94152
Species information
Supplementary material 2 from: Whelan NV, Strong EE, Gladstone NS, Mays JW (2023) Using genomics, morphometrics, and environmental niche modeling to test the validity of a narrow-range endemic snail, Patera nantahala (Gastropoda, Polygyridae). ZooKeys 1158: 91-120. https://doi.org/10.3897/zookeys.1158.94152
Additional images
Modeling hydraulic heads with impulse response functions in different environmental settings (dataset and code supplement)
<p>These folders contain the input data, the scripts, and the output to reproduce the results and figures of Jemeljanova et al. "Modeling hydraulic heads with impulse response functions in different environmental settings".<br> </p> <p>This research is funded by the Latvian Council of Science, project “Spatial and temporal prediction of groundwater drought with mixed models for multilayer sedimentary basin under climate change”, project No. lzp-2019/1-0165 and PostDoc research project agreement No. 1.1.1.2/VIAA/3/19/524.</p>
Analytical Modeling Framework to Assess the Economic and Environmental Impacts of Residential Deliveries, and Evaluate Sustainable City Logistics Strategies
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Data from: A dynamic model of facilitation on environmental stress gradients
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Data from: Design- and model-based strategies for detecting and quantifying an amphibian pathogen in environmental samples
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Data from: Modeling adaptive and nonadaptive responses of populations to environmental change
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Geographic range estimates and environmental requirements for the harpy eagle derived from spatial models of current and past distribution
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Data from: Correlative changes in life history variables in response to environmental change in a model organism
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Data from: Control of entropy in neural models of environmental state
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Data from: Simple versus complex models of trait evolution and stasis as a response to environmental change
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Data from: Modeling the effect of environmental temperatures, microhabitat, and behavioral thermoregulation on predicted activity patterns in a desert lizard across its thermally diverse distribution
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Data from: Improving estimates of environmental change using multilevel regression models of Ellenberg indicator values
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Kauai and Maui Lidar derived environmental layers for bird habitat modelling
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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.