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259 results for “landscape scale”
Simulated Neutral Landscape Models and Scaling Results for Testing of Multi-Dimensional Grid-Point Scaling Algorithm
<p>The data package contains (1) simulations of neutral landscape models of categorical data for benchmark testing of scaling algorithms, and (2) scaling results for testing consistency and sensitivity of the newly developed Multi-Dimensional Grid-Point (MDGP) scaling algorithm.</p> <p>Neutral landscapes were generated using the "nlmpy" python module. The MDGP scaling algorithm and the test framework were implemented in R (https://github.com/gannd/landscapeScaling). </p>
FIGURE 4 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 4 | Venn's diagram showing the exclusive and shared explanation of environmental variables (local, land use, and macroscale) and space in structuring fish assemblages in four catchments of the Eastern Amazon. Local = variation explained by the local matrix (variables of instream habitat); land use = variation explained by the land-use matrix (agriculture, pasture, and urbanization of drainagenetwork buffers and catchment); space = variation explained by the space matrix (environmental filters); macroscale = variation explained by the matrix of macroscale variables (soil characteristics and geographic factor); and residue = variation not explained. * p <0.05.
FIGURE 3 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 3 | Graphic model showing the environmental and spatial variables that composed the four matrices used in the RDAp.
FIGURE 5 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 5 | The dbRDA graph displays the distribution of fish data according to the most explanatory (local, macroscale, and land use) variables selected in the distLM model. Environmental variables were chosen by Forward and best model by AIC. Species code: Brachyhypopomus brevirostris (Pbre), Pyrrhulina capim (Pcap), Nannostomus trifasciatus (Ntri), Gymnorhamphichthys rondoni (Gron), Iguanodectes rachovii (Irac), Denticetopsis epa (Dent). Abbreviations: Local variables: EM: Average distance from excavated margins, MA: Average margin angle, SIN: Stretch sinuosity, SF: Smooth flow, LB: Substrate leaf bank, OM: Substrate organic matter, pH, RF: Rapids flow; TD: Average of thalweg depth; SSA: Stream sand. Macroscale variables: CLY: Catchment clay average, CSL: Catchment slope average, SDY: Catchment soil density, CSA: Catchment substrate sand; Land use: UR_S: Urbanization in 30m buffer, PAS_L: Pasture in 60m buffer, AGR_T: agriculture on catchment, PAS_S: Pasture in 30m buffer.
FIGURE 2 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 2 | Scheme showing different spatial scales from which land use types were quantified in four catchments of the Eastern Amazon.
FIGURE 1 in The influence of landscape at multiple spatial scales of the river basins at the Eastern Amazon fish assemblage
FIGURE 1 | Study area containing 76 streams distributed in four Eastern Amazon basins and land use distribution. Land use: represents all uses (e.g., pasture, agriculture, and urbanization).
Data for: Widespread forest-savanna coexistence but limited bistability at a landscape scale in Central Africa
<p>This directory contains the data used in the article **Zwaan et al. (2024) Widespread forest-savanna coexistence but limited bistability at a landscape scale in Central Africa** (DOI: <span><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1088%2F1748-9326%2Fad8cef&data=05%7C02%7Ca.zwaan%40uu.nl%7C66d868876ad44e69715608dcf9c1c197%7Cd72758a0a4464e0fa0aa4bf95a4a10e7%7C0%7C0%7C638659857776731023%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=3Bk8nBksr5ZBWJF4nfBvx3yp1tbyZiy%2FLlnfwDCZwfE%3D&reserved=0">https://doi.org/10.1088/1748-9326/ad8cef</a></span>).</p> <p>This repository provides the datasets used for the figures and statistics in our research article. We hope that this data can be useful for other researchers. Feel free to explore and analyze the data as needed. If you use this data in your own research, please cite our article.</p> <p><br>**Contact**: For any questions or further information, please contact:<br>* Aart Zwaan<br>* Email: a.zwaan@uu.nl</p>
Fig. 1 in Co-occurrence of two sympatric galliform species on a landscape-scale
Fig. 1. Map of Cat Tien NP with five survey transects each in bamboo, mixed deciduous, and mosaic forests, and seven transects in evergreen forest.
Unravelling arthropod movement in natural landscapes: small-scale effects of body size and weather conditions
<p>This dataset was used to run the analyses for Logghe et al. (2024). Unravelling arthropod movement in natural landscapes: small-scale effects of body size and weather conditions. Journal of Animal Ecology, 93(9), 1365-1379. <a href="https://doi.org/10.1111/1365-2656.14161">https://doi.org/10.1111/1365-2656.14161</a></p> <p>"Arthropod_movement.csv" contains the results of experimental fieldwork, where movement speed and direction were recorded for individuals belonging to multiple arthropod species. Each row contains data on taxonomy, weather conditions, movement speed and movement direction of an individual measurement. Metadata is provided for the different columns.</p> <p>"Summary_observations.csv" gives an overview of the amount of individuals that were tested for each species. This dataset separates flying and cursorial movement, since several species were able to switch between these two modes.</p> <p><strong>Abstract</strong></p> <p><strong>Background: </strong>Movement is a crucial life history component and holds direct significance to population dynamics, thereby influencing population viability. For arthropods in general, larger species achieve greater dispersal distances and large scale movements are influenced by weather conditions. However, many aspects of arthropod movement behaviour remain relatively unexplored, especially on small spatial scales. Studies on this topic are scarce and often limited to a few specific species or laboratory conditions. Consequently, it remains uncertain whether the effects of body size and weather conditions can be generalized across a wide range of arthropod species in natural environments.</p> <p><strong>Methods: </strong>To help address this knowledge gap, we conducted a field study in two nature reserves in Belgium, focusing on both flying and cursorial arthropods. Over 200 different arthropod species were captured and released within a circular setup, allowing quantification of movement speed and direction. By analysing the relationship between these movement variables and morphological (body size) as well as environmental factors (temperature and wind), we aimed to gain insights into the mechanisms driving small-scale arthropod movement under natural conditions.</p> <p><strong>Results: </strong>For flying species, movement speed is positively correlated with both body size and (tail)wind speed. In contrast, movement speed of cursorial individuals was solely positively related with temperature. Notably, movement direction was biased towards the vegetated areas where the arthropods were originally caught, suggesting an internal drive to move towards suitable habitat. This tendency was particularly strong in larger flying individuals, in smaller cursorial species and under tailwind conditions. Furthermore, both flying and cursorial taxa were hindered from moving towards the habitat by strong upwind.</p> <p><strong>Conclusions: </strong>Body size can be used as a useful proxy for not only movement speed, but orientation capacity as well. This movement-size correlation is, at least at small temporal scales, conditional to the prevailing wind conditions.</p>
Simulated treatment effects on bird communities inform landscape‐scale dry conifer forest management
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Data from: Individual energetics scale up to community coexistence: Movement, metabolism and biodiversity dynamics in fragmented landscapes
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Data from: Fecal biomarkers in soils record landscape-scale wild herbivore abundance
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Data from: Mean landscape-scale incidence of species in discrete habitats is patch size dependent
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Scale insects support natural enemies in both landscape trees and shrubs below them
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Wild pollinators and honeybees respond differently to landscape-scale organic farming and increase sunflower yields
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Data from: Functional connectivity and home range inferred at a microgeographic landscape genetics scale in a desert-dwelling rodent
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Integrating presence-only and detection/non-detection data to estimate distributions and expected abundance of difficult-to-monitor species on a landscape-scale
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Data from: Seasonal bee communities vary in their responses to resources at local and landscape scales: Implication for land managers
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The genomic landscapes of desert birds form over multiple time scales
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Data and R code from: Spatiotemporal risk factors predict landscape-scale survivorship for a northern ungulate
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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
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.