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26 results for “movement ecology”
The R package enerscape: A general energy landscape framework for terrestrial movement ecology
<ol> <li> <p class="western"><span>Ecological processes and biodiversity patterns are strongly affected by how animals move through the landscape. However, it remains challenging to predict animal movement and space use. Here we present our new R package <i>enerscape</i> to quantify and predict animal movement in real landscapes based on energy expenditure. </span></p> </li> <li> <p class="western"><span><i>Enerscape</i> integrates a general locomotory model for terrestrial animals with GIS tools in order to map energy costs of movement in a given environment, resulting in energy landscapes that reflect how energy expenditures may shape habitat use. <i>Enerscape</i> only requires topographic data (elevation) and the body mass of the studied animal. To illustrate the potential of <i>enerscape</i>, we analyze the energy landscape for the Marsican bear (<i>Ursus arctos marsicanus</i>) in a protected area in central Italy in order to identify least-cost paths and high-connectivity areas with low energy costs of travel.</span></p> </li> <li> <p class="western"><span><i>Enerscape</i> allowed us to identify travel routes for the bear that minimize energy costs of movement and regions that have high landscape connectivity based on movement efficiency, highlighting potential corridors. It also identifies areas where high energy costs may prevent movement and dispersal, potentially exacerbating human-wildlife conflicts in the park. A major strength of <i>enerscape</i> is that it requires only widely available topographic and body size data. As such, <i>enerscape</i> permits a first cost-effective way to estimate landscape use and movement corridors even when telemetry data is not readily available, such as for the example with the bear. </span></p> </li> <li> <p class="western"><span><i>Enerscape</i> is built in a modular way and other movement modes and ecosystem types can be implemented when appropriate locomotory models are available. In summary, <i>enerscape</i> is a new general tool that quantifies, using minimal and widely available data, the energy costs of moving through a landscape. This can clarify how and why animals move in real landscapes and inform practical conservation and restoration decisions.</span></p> </li> </ol>
GPS collar data and social-ecological feature data for examining the movement of coyotes in Los Angeles, California (2019-2021)
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The R package enerscape: A general energy landscape framework for terrestrial movement ecology
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Diving into the vertical dimension of elasmobranch movement ecology
<p>Knowledge of the three-dimensional movement patterns of elasmobranchs is vital to understanding their ecological roles and exposure to anthropogenic pressures. To date, comparative studies among species at global scales have mostly focused on horizontal movements. Our study addresses the knowledge gap of vertical movements by compiling the first global synthesis of vertical habitat use by elasmobranchs from data obtained by deployment of 989 biotelemetry tags on 38 elasmobranch species. Elasmobranchs displayed high intra- and interspecific variability in vertical movement patterns. Significant vertical overlap was observed for many epipelagic elasmobranchs, indicating an increased likelihood to display spatial overlap, biologically interact, and share similar risk to anthropogenic threats that vary on a vertical gradient. We highlight the critical next steps towards incorporating vertical movement into global management and monitoring strategies for elasmobranchs, emphasising the need to address geographic and taxonomic biases in deployments and to concurrently consider both horizontal and vertical movements.</p>
Experimental light at night of different spectra alters movement patterns of bats along ecological corridors
<p>Data used for the study. </p> <p>Meaning of codes for "spectra" and "lamppost_side" variables:</p> <p>- C = control</p> <p>- G = green</p> <p>- R = red</p> <p>- W = white</p> <p>- L = left</p> <p>- R = right</p>
Data from: Theory of infectious disease spillover at an ecological boundary: Impacts of seasonality and cross-boundary movement
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Data from: Lessons from movement ecology for the return to work: modeling contacts and the spread of COVID-19
<p>Human behavior (movement, social contacts) plays a central role in the spread of pathogens like SARS-CoV-2. The rapid spread of SARS-CoV-2 was driven by global human movement, and initial lockdown measures aimed to localize movement and contact in order to slow spread. Thus, movement and contact patterns need to be explicitly considered when making reopening decisions, especially regarding return to work. Here, as a case study, we consider the initial stages of resuming research at a large research university, using approaches from movement ecology and contact network epidemiology. First, we develop a dynamical pathogen model describing movement between home and work; we show that limiting social contact, via reduced people or reduced time in the workplace are fairly equivalent strategies to slow pathogen spread. Second, we develop a model based on spatial contact patterns within a specific office and lab building on campus; we show that restricting on-campus activities to labs (rather than labs and offices) could dramatically alter (modularize) contact network structure and thus, potentially reduce pathogen spread by providing a workplace mechanism to reduce contact. Here we argue that explicitly accounting for human movement and contact behavior in the workplace can provide additional strategies to slow pathogen spread that can be used in conjunction with ongoing public health efforts.</p>
Data from - Ecological insights from three decades of animal movement tracking across a changing Arctic
<p>We provide here the data used in analysis of 3 test cases, presented in the manuscript "Ecological insights from three decades of animal movement tracking across a changing Arctic". We utilized the new Arctic Animal Movement Archive (AAMA), a growing collection of 201 standardized terrestrial and marine animal tracking studies from 1991–present. The AAMA supports public data discovery, preserves fundamental baseline data for the future, and facilitates efficient, collaborative data analysis. With three AAMA-based case studies, we document climatic influences on the migration phenology of eagles, geographic differences in adaptive response of caribou reproductive phenology to climate change, and species-specific changes in terrestrial mammal movement rates in response to increasing temperature. </p>
Data from: Movement ecology of brown bears (Ursus arctos) in the Romanian Eastern Carpathians
Brown bear movement patterns are driven by their opportunistic feeding behaviour, with their complex life history and seasonality playing an important role in habitat selection. Within a large unfragmented forest habitats persisting over decades in the Romanian Carpathians and a prohibitive hunting management during 40 years of communist centralised game management, information about brown bear movements and spatial ecology is lacking. Using data obtained from 13 brown bears fitted with GPS telemetry collars, we estimated home ranges and core activity areas and we investigated the daily, seasonal and altitudinal movements of brown bears in the Eastern Romanian Carpathians and surrounding high hills. The median MCP95% home ranges of brown bears was 629.92 km2 and the median size of core activity areas (estimated as 50% kernel density) was 36.37 km2, with no significant differences between males and females. The mean daily distance travelled, measured as daily displacement length, was 1818 m and an analysis of seasonal movements indicated significant differences between seasons (greatest movements during the Hyperphagia season). The GPS-collared brown bears travelled between a minimum altitude measured at ~234 m and a maximum at ~1634 m. Analysing the spatial overlap between the estimated home range and the game management units (GMU) limits, we obtained a median number of 8 GMUs overlapping totally or partially with estimated home range polygons. Our study, using GPS telemetry, highlights the complex spatial ecology of the brown bear in the Romanian Carpathians, with larger home range size than those estimated in other European brown bear populations and with daily movements that vary by season and within a large altitude range. Our study supports the implementation of brown bear monitoring at a regional scale, rather than focusing on county level GMUs as the monitoring unit.
Micro-personality traits and their implications for behavioural and movement ecology research
<ol> <li>Many animal personality traits have implicit movement‐based definitions, and can directly or indirectly influence ecological and evolutionary processes. It has therefore been proposed that animal movement studies could benefit from acknowledging and studying consistent inter-individual differences (personality), and, conversely, animal personality studies could adopt a more quantitative representation of movement patterns.</li> <li>Using high-resolution tracking data of three-spined stickleback fish (<i>Gasterosteus</i> <i>aculeatus</i>)<i>, </i>we examined the repeatability of four movement parameters commonly used in the analysis of discrete time-series movement data (time stationary, step-length, turning angle, burst frequency), and four behavioural parameters commonly used in animal personality studies (distance travelled, space use, time in free water, time near objects).</li> <li>Fish showed repeatable inter-individual differences in both movement and behavioural parameters when observed in a simple environment with two, three, or five shelters present. Moreover, individuals that spend less time stationary, take more direct paths and less commonly burst travel (movement parameters), were found to travel farther, explored more of the tank, and spent more time in open water (behavioural parameters).</li> <li>Our case-study indicates that the two approaches – quantifying movement and behavioural parameters – are broadly equivalent, and we suggest that movement parameters can be viewed as "micro-personality" traits that give rise to broad-scale consistent inter-individual differences in behaviour. This finding has implications for both personality and movement ecology research areas. For example, the study of movement parameters may <span>provide a robust way to analyse</span><span> individual </span><span>personalities in species that are difficult or impossible to study using standardised behavioural assays.</span> </li> </ol>
Supplementary material 1 from: Fernandes N, Ferreira EM, Pita R, Mira A, Santos SM (2022) The effect of habitat reduction by roads on space use and movement patterns of an endangered species, the Cabrera vole Microtus cabrerae. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 177-196. https://doi.org/10.3897/natureconservation.47.71864
The effect of habitat encroachment by roads on space use and movement patterns of an endangered vole
Climate alters the movement ecology of a non-migratory bird - dataset
<p>Global climate change is causing increased climate extremes threatening biodiversity and altering ecosystems. Climate is comprised of many variables including air temperature, barometric pressure, solar radiation, wind, relative humidity, and precipitation that interact with each other. As movement connects various aspects of an animal's life, understanding how climate influences movement at a fine-temporal scale will be critical to the long-term conservation of species impacted by climate change. The sedentary nature of non-migratory species could increase some species risk of extirpation caused by climate change. We used Northern Bobwhite (<em>Colinus virginianus</em>; hereafter bobwhite) as a model to better understand the relationship between climate and the movement ecology of a non-migratory species at a fine-temporal scale. We collected movement data on bobwhite from across western Oklahoma during 2019–2020 and paired these data with meteorological data. We analyzed movement three different ways (probability of movement, hourly distance moved, and sinuosity) using two calculated movement metrics: hourly movement (displacement between two consecutive fixes an hour apart) and sinuosity (a form of tortuosity that determines the amount of curvature of a random search path). We used generalized linear-mixed models to analyze probability of movement and hourly distance moved, and used linear-mixed models o analyze sinuosity. The interaction between air temperature and solar radiation affected probability of movement and hourly distance moved. Bobwhite movement increased as air temperature increased beyond 10oC during low solar radiation. During medium and high solar radiation, bobwhite moved farther as air temperature increased until 25–30oC when hourly distance moved plateaued. Bobwhite sinuosity increased as solar radiation increased. Our results show that specific climate variables alter the fine-scale movement of a non-migratory species. Understanding the link between climate and movement is important to determining how climate change may impact a species' space use and fitness now and in the future. </p>
Data from: Movement ecology of Afrotropical birds: Functional traits provide complementary insights to species identity
Effects of anthropogenic activities on habitats and species communities and populations are complex and vary across species depending on their ecological traits. Movement ecology may provide important insights into species´ responses to habitat structures and quality. We investigated how movement behavior across a human-modified landscape depends on species identity and species traits, with particular focus on habitat specialization, feeding guilds and dispersal behavior. We tracked 34 individuals of nine Afrotropical bird species during three years in an anthropogenic riparian landscape of East Africa. We investigated whether species' functional traits predicted their habitat use and movement behavior better than species´ identities. Our results indicate that habitat specialists mainly occur in dense riparian thickets, while habitat generalists do occur in agricultural land. Home-ranges of omnivorous habitat generalists are larger than of frugivorous and insectivorous generalists and omnivorous and insectivorous specialists. Movement speed was highest in settlement areas for all species, with activity peaks during morning and afternoon for habitat specialists. Our results reveal that functional traits and species identity provide complementary insights into responses of organisms to habitat structures and habitat quality.
Personality, spatiotemporal ecological variation, and resident/explorer movement syndromes in the sleepy lizard
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Data from: Movement ecology of Afrotropical birds: Functional traits provide complementary insights to species identity
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Data from: Spatial mismatch between management units and movement ecology of a partially migratory ungulate
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Data from: Movement ecology of brown bears (Ursus arctos) in the Romanian Eastern Carpathians
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Data from: Movement propensity and ability correlate with ecological specialisation in European land snails: comparative analysis of a dispersal syndrome
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Data from - Ecological insights from three decades of animal movement tracking across a changing Arctic
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Climate alters the movement ecology of a non-migratory bird - dataset
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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.