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221 results for “landscape use”
Land use change converts temperate dryland landscape into a net methane source
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Tree mortality in an agricultural landscape of Southwestern Panama assessed using remote sensing and field data
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Data for: Inferring population connectivity in Eastern Massasauga Rattlesnakes (Sistrurus catenatus) using landscape genetics
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Influence of land use changes on landscape connectivity for North China leopard (Panthera pardus japonensis)
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Landscape composition and life‐history traits influence bat movement and space use: Analysis of 30 years of published telemetry data
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Concordant and opposing effects of climate and land-use change on avian assemblages in California’s most transformed landscapes
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Not only hedgerows, but also flower fields can enhance bat activity in intensively used agricultural landscapes
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Reptile diversity patterns under climate and land use change scenarios in a subtropical montane landscape in Mexico
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The effects of land-use history and the contemporary landscape on non-native plant invasion at local and regional scales in the French Broad Watersheds, 2007
Determining what factors explain the distribution of non-native invasive plants that can spread in forest-dominated landscapes could advance understanding of the invasion process and identify forest areas most susceptible to invasion. The researchers conducted roadside surveys to determine the presence and abundance of 15 non-native plant species known to invade forests in western North Carolina, USA. Prior to sampling, the researchers identified 15 non-native invasive plant species that were of concern in the study region. Generalized linear models were used to examine how contemporary and historic land use, landscape context, and topography influenced presence and abundance of the species at local and regional scales.
Data from: Current and historical land use influence soil-based ecosystem services in an urban landscape
Urban landscapes are increasingly recognized as providing important ecosystem services (ES) to their occupants. Yet, urban ES assessments often ignore the complex spatial heterogeneity and land-use history of cities. Soil-based services may be particularly susceptible to land-use legacy effects. We studied indicators of three soil-based ES – carbon storage, water quality regulation, and runoff regulation – in a historically agricultural urban landscape and asked: (1) How do ES indicators vary with contemporary land cover and time since development? (2) Do ES indicators vary primarily among land-cover classes, within land-cover classes, or within sites? (3) What is the relative contribution of urban land-cover classes to potential citywide ES provision? We measured biophysical indicators (soil carbon (C), available phosphorus (P), and saturated hydraulic conductivity (Ks)) in 100 sites across 5 land-cover classes, spanning an ~125 year gradient of time since development within each land-cover class. Potential for ES provision was substantial in urban green spaces, including developed land. Runoff regulation services (high Ks) were highest in forests; water quality regulation (low P) was highest in open spaces and grasslands; and open spaces and developed land (e.g., residential yards) had the highest C storage. In developed land covers, both C and P increased with time since development, indicating effects of historical land-use on contemporary ES and tradeoffs between two important ES. Among-site differences accounted for a high proportion of variance in soil properties in forests, grasslands, and open space, while residential areas had high within-site variability – underscoring the leverage city residents have to improve urban ES provision. Developed land covers contributed most ES supply at the citywide scale, even after accounting for potential impacts of impervious surfaces. Considering the full mosaic of urban green space and its history is needed to estimate the kinds and magnitude of ES provided in cities, and to augment regional ES assessments that often ignore or underestimate urban ES supply.
Data used to produce figures in "Monotonicity of Fitness Landscapes and Mutation Rate Control"
<p>Data used in Figures 2, 3, 4, 6, 7, 8, 9 and 10 of the manuscript "Monotonicity of Fitness Landscapes and Mutation Rate Control"</p>
Extracting positive descriptions and exploring landscape value using text analysis in the Cairngorms National Park
<p>The dataset was retrieved August 31, 2023, from <a href="http://data.geograph.org.uk/dumps/">http://data.geograph.org.uk/dumps/</a></p><p>Geograph project require all submitters to adopt a Creative Commons Attribution-ShareAlike licence on their photographic submissions.<br><a href="http://creativecommons.org/licenses/by-sa/2.0/">http://creativecommons.org/licenses/by-sa/2.0/</a></p>
Factors influencing space-use and kill distribution of sympatric lion prides in a semi-arid savanna landscape
<p>In this study, Global Positioning System collar data and logistic regression were used to investigate space-use and kill distribution among three lion prides at Malilangwe Wildlife Reserve, Zimbabwe. The R statistical platform was used to perform logistic regression analysis to determine the effects of the environmental variables on the outcome of each pride's ranging behaviour. <i>Presence/Kill probability </i>(presence or absence) was used as a response variable while<i> distance to water, shrub canopy volume</i>, <i>soil depth</i> and <i>clay content</i> were treated as fixed effects.</p>
Coexistence from a lion's perspective: Movements and habitat selection by African lions (Panthera leo) across a multi-use landscape
<p>Diminishing wild space and population fragmentation are key drivers of large carnivore declines worldwide. Persistence of large carnivores in fragmented landscapes often depends on the ability of individuals to move between separated subpopulations for genetic exchange and recovery from stochastic events. Where separated by anthropogenic landscapes, subpopulations' connectivity hinges on the area's socio-ecological conditions for coexistence and dispersing individuals' behavioral choices. Using GPS-collars and resource- and step-selection functions, we explored African lion (<em>Panthera leo</em>) habitat selection and movement patterns to better understand lions' behavioral adaptations in a landscape shared with pastoralists. We conducted our study in the Ngorongoro Conservation Area, Tanzania, a multiuse rangeland, that connects the small, high density lion subpopulation of the Ngorongoro Crater with the extensive Serengeti lion population. Landscape use by pastoralists and their livestock varies seasonally, driven by the availability of pasture, water, and disease avoidance. The most important factor for lion habitat selection was the amount of vegetation cover, followed by the distance to human settlements and the interaction between those two variables, with selectivity strengths varying with season and time of day. All lions were more willing to approach human settlements at night and during the dry season, selecting strongly for cover when moving closer to humans during the day. Resident females most consistently used areas close to humans, but also relied more consistently on cover than males. Connectivity of lion subpopulations, facilitated by nomadic males, does not appear to be blocked by sparse pastoralist settlements and nomadic males avoided humans on the landscape more strongly than did resident lions. These results are consistent with lions balancing risk from humans with exploitation of livestock by altering their behaviors to reduce potential conflict. Our study lends some optimism for the adaptive capacity of lions to promote coexistence with humans in shared landscapes.</p>
Exemplary landscape planning results using different qualities of LU/LC data to derive implications for practical planning.
<p>This Dataset consist of two GIS Shape files showing examples of common landscape planning activities, namely the an assessment of the climate protection function and planning towards locating environmental protection measures using different data basis. Using overlay operation it is possible to use descriptive statistics to assess uncertainties and inconsistencies between different land use / land cover data sets and highlight their implications for practical planning.</p> <p>Once published, the results of such analysis can be seen in the related publication "Uncertainties in land use data may have substantial effects on environmental planning recommendations: a plea for careful consideration. Submitted to PLOS ONE."</p>
Data from: Extrapolating potential crop damage by insect pests based on land use data: examining inter-regional generality in agricultural landscapes_210907
<p>DamagePrediction_data_2021_210907 Data from: Extrapolating potential crop damage by insect pests based on land use data: examining inter-regional generality in agricultural landscapes</p>
Data from: From microbes to mammals: pond biodiversity homogenization across different land-use types in an agricultural landscape
<p>Local biodiversity patterns are expected to strongly reflect variation in topography, land use, dispersal boundaries, nutrient supplies, contaminant spread, management practices and other anthropogenic influences. In contrast, studies focusing on specific taxa revealed a biodiversity homogenization effect in areas subjected to long-term intensive industrial agriculture. We investigated whether land use affects biodiversity levels and community composition (α & β diversity) in 67 kettle holes (KH) representing small aquatic islands embedded in the patchwork matrix of a largely agricultural landscape comprising grassland, forest, and arable fields. These KH, similar to millions of standing water bodies of glacial origin, spread across northern Europe, Asia, and North America, are physico-chemically diverse, differ in the degree of coupling with their surroundings. We assessed biodiversity patterns of eukaryotes, <i>Bacteria</i> and <i>Archaea</i> in relation to environmental features of the KH, using deep-amplicon-sequencing of environmental DNA (eDNA). First, we asked whether deep sequencing of eDNA provides a representative picture of KH biodiversity across the <i>Bacteria</i>, <i>Archaea</i>, and Eukaryotes. Second, we investigated if and to what extent KH biodiversity is influenced by the surrounding land-use. Our data shows that deep eDNA amplicon sequencing is useful for in-depth assessments of cross-domain biodiversity comprising both micro- and macro-organisms, but, has limitations with respect to single-taxa conservation studies. Using this broad method, we show that sediment eDNA, integrating several years to decades, depicts the history of agricultural land-use intensification. The latter, coupled with landscape wide nutrient enrichment (including by atmospheric deposition), groundwater connectivity between KH and organismal (active and passive) dispersal in the tight network of ponds, resulted in a biodiversity homogenization in the KH water, levelling off today's detectable differences in KH biodiversity between land-use types.</p>
Data from: Landscape composition and life-history traits influence bat movement and space use: analysis of 30 years of published telemetry data
<p><span><b>Aim: </b>Animal movement determines home range patterns, which in turn affect individual fitness, population dynamics and ecosystem functioning. Using temperate bats, a group of particular conservation concern, we investigated how morphological traits, habitat specialization and environmental variables affect home range sizes and daily foraging movements, using a compilation of 30 years of published bat telemetry data.</span></p> <p><span><b>Location</b>: Northern America and Europe.</span></p> <p><span><b>Time period</b>: 1988 – 2016.</span></p> <p><span><b>Major taxa studied</b>: Bats.</span></p> <p><span><b>Methods</b>: We compiled data on home range size and mean daily distance between roosts and foraging areas at both colony and individual levels from 166 studies of 3,129 radiotracked individuals of 49 bat species. We calculated multi-scale habitat composition and configuration in the surrounding landscapes of the 165 studied roosts. Using mixed models, we examined the effects of habitat availability and spatial arrangement on bat movements, while accounting for body mass, aspect ratio, wing loading and habitat specialization.</span></p> <p><span><b>Results:</b><i> </i>We found a significant effect of landscape composition on home range size and mean daily distance at both colony and individual levels. On average, home ranges were up to 42% smaller in the most habitat-diversified landscapes while mean daily distances were up to 30% shorter in the most forested landscapes. Bat home range size significantly increased with body mass, wing aspect ratio and wing loading, and decreased with habitat specialization.</span></p> <p><span><b>Main conclusions: </b>Promoting bat movements through the landscape surrounding roosts at large spatial scales is crucial for bat conservation. Forest loss and overall landscape homogenization lead temperate bats to fly farther to meet their ecological requirements, by increasing home range sizes and daily foraging distances. Both processes might be more detrimental for smaller, habitat-specialized bats, less able to travel increasingly longer distances to meet their diverse needs.</span></p>
Data sets used to demonstrate the software MadHitter in the manuscript "The Landscape of Receptor-Mediated Precision Cancer Combination Therapy Via a Single-Cell Perspective"
<p>This is a zip archive of nine single-cell RNASeq data sets used in the manuscript entitled:</p> <p>"The Landscape of Receptor-Mediated Precision Cancer Combination Therapy Via A Single-Cell Perspective" by Saba Ahmadi, Pattara Sukprasert, Rahulsimham Vegesna, Sanju Sinha, Fiorella Schischlik, Natalie Artzi, Samir Khuller, Alejandro A. Schaffer, Eytan Ruppin,</p> <p>The README.txt describes the data sets in detail.</p> <p>The associated software can be found at https://github.com/ruppinlab/madhitter</p>
Convolutional neural network and data used for applied soundscape classification with Soundscapes 2 Landscapes (S2L)
<p>This repository documents the ABGQI-CNN manuscript (DOI: <a href="https://doi.org/10.1016/j.ecolind.2022.108831">https://doi.org/10.1016/j.ecolind.2022.108831</a>). It contains supplementary materials, data used to train a soundscape classification convolutional neural network (CNN), and data to generate manuscript results. The accompanying code can be found at <a href="https://doi.org/10.5281/zenodo.6038460">https://doi.org/10.5281/zenodo.6038459</a>. Files include:</p> <ul> <li><strong>ABGQI-CNN.tar: </strong>saved CNN model weights for the 5-class soundscape classifier using a MobileNetV2 architecture pre-trained with bird vocalization data.</li> <li><strong>ABGQI_mel_spectrograms.tar</strong>: spectrograms used for fine-tuning the pre-trained CNN, above, with training, validation, and testing data splits.</li> <li><strong>freesound_licensing.csv</strong>: file names and license information related to Freesound auxiliary files.</li> <li><strong>RavenLite_Training_Data_Collection.pdf</strong>: a manual for RavenLite ROI annotation.</li> <li><strong>S2L_site_geog-env_data.csv</strong>: environmental and geographic data (sans GPS) related to site locations in S2L project 2017-2020.</li> <li><strong>site_avg_ABGQIU_fscore_075_daytime.csv</strong>: the average site rate of soundscape components for 5 a.m. to 8 p.m.</li> <li><strong>site_by_hour_ABGQIU_fscore_075.csv</strong>: the average hourly site rate of soundscape components</li> <li><strong>site_classifications_beta075.tar</strong>: a directory containing a CSV for every site with threshold optimized classifications for each 2-s Mel spectrogram</li> <li><strong>site_prediction_probabilies.tar</strong>: a directory containing a CSV for every site with ABGQI-CNN probabilities for each 2-s Mel spectrogram</li> <li><strong>Supplementary_Materials.pdf</strong>: includes additional material and analyses related to the accompanying manuscript. </li> </ul> <p>Contact Colin Quinn at cq73@nau.edu for questions related to this repository or if you have an interest in the original wav recordings. Please be aware that underlying software, specifically for the CNN implementation, may not continue stability as python libraries are updated.</p>
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.