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93 results for “ecological dynamics”
Social-Ecological Dynamics of Recreational Fishery Landscapes: Recreational angler catch and satisfaction in the Midwest, 2018 to 2024
The goal of this dataset is to understand angler information gathering and sharing, technology use, expectation-setting, site choice, and the factors influencing angler satisfaction in rural and urban environments. These data were collected through on-site creel surveys and instantaneous counts of fishing effort and associated angler vehicles. Traditional creel surveys are completed only at the end of an angler's fishing trip. These dual-intercept creel survey data are novel because anglers were intercepted both before and after their fishing trip. This survey design allowed us to collect unbiased estimates of anglers' expected catch. These data can be used to understand the role of angler expectations in angler satisfaction and behavior. Data collection were conducted in two counties in Wisconsin, USA. Vilas County is a primarily rural, forested, and glaciated region with many relatively small lakes. Dane County has a larger urban center (Madison, WI) that is surrounded by agricultural areas. Most of the Dane County lakes surveyed were part of the Yahara chain of lakes: Lakes Mendota, Monona, Wingra, Waubesa, and Kegonsa. Dane county has fewer, larger lakes with greater connectivity to each other. Vilas County was sampled in the summer of 2018, the summer of 2019, and the summer and winter of 2022. Dane County was sampled in the winter and summer of 2022.
Data for: Seasonal dynamics of faunal diversity and population ecology in an estuarine seagrass bed
<p>These are the data used in the analyses described in the paper titled "Seasonal dynamics of faunal diversity and population ecology in an estuarine seagrass bed", accepted at Estuaries and Coasts. We acknowledge the tangata whenua for the rohe in which these data were collected, Ngāi Tārewa and Ngāti Īrakehu. We thank the Akaroa Taiāpure for their support of this research.</p> <p>The data included are:</p> <p>Raw count data of taxa for each tow, associated with additional metadata including the date of collection, tow coordinates, and estimated seagrass cover (MonthlyRawSampling_Duvauchelle_2020.csv). This data was put through cleaning steps outlined in the file docs/dataCleaning.Rmd prior to being used in any analyses.</p> <p>The cleaned community composition data (cleanedCommunity.csv), output from <a href="https://github.com/spflanagan/ecology-duvauchelle/blob/main/docs/dataCleaning.Rmd">docs/dataCleaning.Rmd</a> and used in the downstream community and population analyses.</p> <p>The GPS coordinates for the tows (gpsdat.csv). These were extracted from the raw data in the data cleaning process.</p> <p>NZsyngnathids_measurements.csv contains the measurements of the pipefish from images. These data also underwent a cleaning process documented in <a href="https://github.com/spflanagan/ecology-duvauchelle/blob/main/docs/dataCleaning.Rmd">docs/dataCleaning.Rmd</a>.</p> <p>The cleaned pipefish trait data (pipefishTraits.csv), output from docs/dataCleaning.Rmd and used in the downstream population analysis documented in <a href="https://github.com/spflanagan/ecology-duvauchelle/blob/main/docs/populationAnalyses.Rmd">docs/populationAnalyses.Rmd</a>.<br> </p>
Results and code associated with «Predictability of ecological and evolutionary dynamics in a changing world»
<p>Below you'll find results and code associated with the following article (*):</p> <p>Bozzuto, C, Ives, AR (2024): Predictability of ecological and evolutionary dynamics in a changing world. <em>Proceedings of the Royal Society B</em>, <strong>291</strong>: 20240980. https://doi.org/10.1098/rspb.2024.0980</p> <p>ABSTRACT: Ecological and evolutionary predictions are being increasingly employed to inform decision-makers confronted with intensifying pressures on biodiversity. For these efforts to effectively guide conservation actions, knowing the limit of predictability is pivotal. In this study, we provide realistic expectations for the enterprise of predicting changes in ecological and evolutionary observations through time. We begin with an intuitive explanation of predictability (the extent to which predictions are possible) employing an easy-to-use metric, predictive power <em>PP</em>(<em>t</em>). To illustrate the challenge of forecasting, we then show that among insects, birds, fishes and mammals, (i) 50% of the populations are predictable at most 1 year in advance and (ii) the median 1-year-ahead predictive power corresponds to a prediction <em>R</em><sup>2</sup> of only 20%. Predictability is not an immutable property of ecological systems. For example, different harvesting strategies can impact the predictability of exploited populations to varying degrees. Moreover, incorporating explanatory variables, accounting for time trends and considering multivariate time series can enhance predictability. To effectively address the challenge of biodiversity loss, researchers and practitioners must be aware of the information within the available data that can be used for prediction and explore efficient ways to leverage this knowledge for environmental stewardship.</p> <p>(*) previously a preprint on <em>bioRxiv</em>: https://doi.org/10.1101/2023.11.01.565089</p>
Ecological Dynamics and Coexistence Patterns of Wild and Domestic Mammals in an Abandoned Landscape
<p>This repository contains all scripts and data used for analysis and figures for the paper <strong>Zuleger, Annika M., Perino, Andrea, Pereira, Henrique M. (2024): <em>Ecological Dynamics and Coexistence Patterns of Wild and Domestic Mammals in an Abandoned Landscape</em>. Wildlife Biology. DOI: 10.1002/wlb3.01319</strong></p> <p><strong>Full Changelog</strong>: https://github.com/AMZuleger/Dynamics_Coexistence_Peneda/commits/v1.0.0</p> <h2><strong>Abstract</strong></h2> <p>The issue of agricultural land abandonment in Southern Europe has raised concerns about its impact on biodiversity. While abandoned areas can lead to positive developments like creating new habitats and restoring native vegetation, they can also result in human-wildlife conflicts, particularly in areas with extensive farming and free-ranging livestock. To understand habitat selection and use of livestock and wild ungulates, it is essential to study their spatial and temporal distribution patterns. In this context, we conducted a long-term large mammal monitoring project using camera traps in the Peneda-Gerês National Park in Northern Portugal. Our primary focus was on exploring habitat preferences, occupancy dynamics, and potential spatial use correlations between domestic and wild species, utilizing dynamic occupancy models. Most wild species exhibited stable area use patterns, while domestic species experienced marginal declines, and the Iberian ibex displayed signs of repopulation. We observed distinct effects of habitat variables on occupancy, colonization, and extinction, revealing species-specific patterns of habitat utilization. Human disturbance had a notable impact on domestic species but did not affect wild ones. Camera sensitivity emerged as a critical factor, enhancing detection probability for all species. Additionally, habitat and weather variables exerted varying effects on detection probabilities, underscoring the necessity of accounting for these factors in modeling the detection process. We found shared habitat preferences between cattle and horses, both positively correlated with wolves, suggesting potential human-wildlife conflicts. Despite extensive spatial overlap, domestic and wild species seem to exhibit ecological independence due to distinct strategies and low predation pressure. Overall, the study emphasizes the multifaceted factors influencing habitat use. The observed species associations contribute to understanding ecological relationships and potential resource competition, emphasizing the importance of considering environmental variables for effective wildlife conservation and management.</p> <div> <h2><strong>Structure</strong></h2> </div> <ul> <li>R_Ecological_Dynamics_and_Coexistence_Patterns_rv.R --> R Script to perform all analysis from the publication <ul> <li>This is the only file needed to perform the entire analysis. Code will automaticall download data from GitHub and produce all Results and Figures.</li> </ul> </li> </ul> <div> <h3><strong>Data</strong></h3> </div> <ul> <li>Presence-absence tables for each species (per grid cell and week) from 2015 to 2022 (e.g. Domestic cattle.csv)</li> <li>SiteCovs_2015_grid.csv --> intial site covariates for the first primary sampling period</li> <li>yearlySiteCovs_grid.rds --> yearly site covariates for each primary sampling period</li> <li>ObsCovs.rds --> observation covariates for each secondary sampling period</li> </ul> <h2><strong>Authors</strong></h2> <p>Annika M. Zuleger*, Andrea Perino and Henrique M. Pereira</p> <p>*Corresponding author: Annika Mikaela Zuleger, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany Email: <a href="mailto:annika_mikaela.zuleger@idiv.de">annika_mikaela.zuleger@idiv.de</a></p>
Social-ecological dynamics of quarry restoration: a Flickr data analysis
<div> <div> <div> <p><span>With increasing urbanization and demand for construction materials, quarries have become central to the recovery of degraded landscapes into spaces that offer ecological, but also social benefits. While ecological restoration has long been investigated, integrated social-ecological restoration of post-mining landscapes remains underexplored. The overall aim of this study is to assess the perceptions of cultural ecosystem services and landscape features expressed in social media posts about quarries in Germany, Denmark, and the Czech Republic. We focus on concepts of cultural ecosystem services and landscape features to investigate the interactions between humans and restored ecosystems. Using a mixed-methods approach, we analyzed 1,660 geotagged photographs from 50 quarries across three regions: Berlin, Roskilde, and the Czech Karst. Flickr social media images were analyzed to elicit the richness of cultural ecosystem services (CES) and landscape features (LF), highlighting popular quarries and their social-ecological significance. Our results indicate that rehabilitated quarries exhibit higher CES richness than abandoned or operational ones, and that accessibility significantly influences public engagement. Our study demonstrates that once primarily industrial sites, quarries can evolve into vibrant social-ecological systems that provide diverse landscape features and cultural ecosystem services. It also points to the potential of social media data for designing restoration efforts from a social-ecological perspective. Such an approach provides insights into public perceptions of restored landscapes and may inform future restoration strategies. </span></p> <p> This dataset includes: (1) the review protocol, (2) a list of place names used for data collection on Flickr when posts were not geolocated, (3) data on landscape features and cultural ecosystem services identified in Flickr posts from 50 study quarries, (4) characteristics of the quarries, and (5) a shapefile of the quarry polygons.</p> <p> </p> <p> </p> </div> </div> </div>
Ecological interactions driving population dynamics of two tick-borne pathogens, Borrelia burgdorferi and Babesia microti
<p><em>Borrelia</em> <em>burgdorferi</em> (<em>Bb</em>) and <em>Babesia</em> <em>microti</em> (<em>Bm</em>) are vector-borne zoonotic pathogens commonly found co-circulating in <em>Ixodes</em> <em>scapularis</em> and <em>Peromyscus</em> <em>leucopus</em> populations. The restricted distribution and lower prevalence of <em>Bm</em> has been historically attributed to lower host-to-tick transmission efficiency and limited host ranges. We hypothesized that prevalence patterns are driven by coinfection dynamics and vertical transmission. We use a multi-year, multiple-location, longitudinal dataset with mathematical modelling to elucidate coinfection dynamics between <em>Bb</em> and <em>Bm</em> in natural populations of <em>P. leucopus</em>, the most competent reservoir host for both pathogens in the eastern USA. Our analysis indicates that, in the absence of vertical transmission, <em>Bb</em> is viable at lower tick numbers than <em>Bm</em>. However, with vertical transmission, Bm is viable at lower tick numbers than <em>Bb</em>. Vertical transmission has a particularly strong effect on <em>Bm</em> prevalence early in the active season while coinfection has an increasing role during the nymphal peak. Our analyses indicate that coinfection processes, such as facilitation of <em>Bm</em> infection by <em>Bb</em>, have relatively little influence on the persistence of either parasite. We suggest future work examines the sensitivity of <em>Bm</em> vertical transmission and other key processes to local environmental conditions to inform surveillance and control of tick-borne pathogens.</p>
Data from: Dynamic balancing of risks and rewards in a large herbivore: Further extending predator-prey concepts to road ecology
<p>Animal behavior is shaped by the ability to identify risks and profitably balance the levels of risks encountered with the payoffs experienced. Anthropogenic disturbances like roads generate novel risks and opportunities that wildlife must accurately perceive and respond to. Basic concepts in predator-prey ecology are often used to understand responses of animals to roads (e.g., increased vigilance, selection for cover in their vicinity). However, prey often display complex behaviors such as modulating space use given varying risks and rewards, and it is unclear if such dynamic balancing is used by animals in the context of road crossings.</p> <p>We tested whether animals dynamically balance risks and rewards relative to roads using extensive field -based and GPS collar data from elk in Yoho National Park (British Columbia, Canada) where a major highway completely bisects their range during most of the year.</p> <p>We analyzed elk behavior by combining hidden Markov movement models with a step-selection function framework. Rewards were indexed by a dynamic map of available forage biomass and risks were indexed by road crossings and traffic volumes.</p> <p>We found that elk generally selected intermediate and high forage biomass and avoided crossing the road. Most of the time, elk modulated their behavior given varying risks and rewards. When crossing the highway compared with not crossing, elk selected for greater forage biomass and this selection was stronger as the number of highway crossings increased. However, with traffic volume, elk only balanced foraging rewards when they crossed a single time during a travel sequence.</p> <p>Using a road ecology system, we empirically tested an important component of predator-prey ecology – the ability to dynamically modulate behavior in response to varying levels of risks and rewards. Such a test articulates how decision-making processes that consider the spatiotemporal variation in risks and rewards allow animals to successfully and profitably navigate busy roads. Applying well-developed concepts in predator-prey theory helps understand how animals respond to anthropogenic disturbances and anticipate the adaptive capacity for individuals and populations to adjust to rapidly changing environments.</p>
Ecological interactions driving population dynamics of two tick-borne pathogens, Borrelia burgdorferi and Babesia microti
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Data from: Dynamic balancing of risks and rewards in a large herbivore: Further extending predator-prey concepts to road ecology
Open the record for dataset details and reuse information.
Code from: Spatial resource heterogeneity stabilizes local and regional predator-prey dynamics in ecologically-realistic networks
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Data from: Network ecology in dynamic landscapes
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Diversity of response and effect traits provides complementary information about avian community dynamics linked to ecological function
<p>Functional diversity metrics based on species traits are widely used to investigate ecosystem functioning. In theory, such metrics have different implications depending on whether they are calculated from traits mediating responses to environmental change (response traits) or those regulating function (effect traits), yet trait choice in diversity metrics is rarely scrutinized. Here, we compile effect and response traits for British bird species supplying two key ecological services – seed dispersal and insect predation – to assess the relationship between functional diversity and both mean and stability of community abundance over time. As predicted, functional diversity correlates with stability in community abundance of seed dispersers when calculated using response traits. However, we found a negative relationship between functional diversity and mean community abundance of seed dispersers when calculated using effect traits. Subsequently, when combining all traits together, we found inconsistent results with functional diversity correlating with reduced stability in insectivores, but greater stability in seed dispersers. Our findings suggest that trait choice should be considered more carefully when applying such metrics in ecosystem management.</p>
Data from: forest stand dynamics of a short-stature tree species: ecological knowledge for sustainable forest management
<p>This data set is a forest inventory of <em>Nothofagus antarctica</em> in southern Chile. More than 20 sites were selected. In each site, parallel transects were set and every 30 m a sampling point was set where the distance to the nearest four trees (in accordance with the cardinal points) were measured.</p>
Ecological determinants of rabies virus dynamics in vampire bats and spillover to livestock
<p>Data and scripts for the publication</p>
Population dynamics and socio-ecological trajectories explain the emergence of farming in Late Neolithic South-eastern Norway
<p>The repository contains radiocarbon data and code for the paper "Population dynamics and socio-ecological trajectories explain the emergence of farming in Late Neolithic South-eastern Norway", published in the Journal of Neolithic Archaeology.</p> <p><a href="https://www.jna.uni-kiel.de/index.php/jna/article/view/1562">Population Dynamics and Socio-ecological Trajectories Explain the Emergence of Farming in Late Neolithic Southeast Norway | Journal of Neolithic Archaeology</a>.</p> <p><strong>Abstract</strong></p> <p>This paper examines the emergence of farming in Late Neolithic Southeast Norway. A summed probability distribution of radiocarbon dates is used to infer population dynamics and together with a chronological model using dated samples from post-built houses, cultivation layers and cereal grains, it is argued that the introduction of farming was swift and caused by incoming farmers. It is further explored how a low population during the Middle Neolithic period, cause by shifting environmental conditions, was central to the rapid population shift and economic change seen in the Late Neolithic, from ca. 2200 cal BC. </p>
Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a nonlinear forecasting method characterization (DataSet)
<p>Data from the article: <br>"Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a nonlinear forecasting method characterization", L. Reyes, K. Campos, G. D. Avendaño, L. González-Paz, A. Vivas, Y. J. Alvarado, and S. Flores.</p> <p>Data to be used with some implementation of the forecasting method of reference:<br>Sugihara G. and May R. M., Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series, <em>Nature</em> <strong>344</strong>, 734–741 (1990).</p>
Code and data from: Towards a more dynamic metabolic theory of ecology to predict climate change effects on biological systems
<p>This repository contains data and code used to produce Figures 1, 2, and S1 in <em>Towards a more dynamic metabolic theory of ecology to predict climate change effects on biological systems.</em></p> <p>The file "empirical_mte_database.csv" contains a database of peer-reviewed articles pulled from a Web of Science search of papers that empirically tested the temperature dependence predictions of the metabolic theory of ecology (Brown et al. 2004) between 2004 and 2024. </p> <p>The .zip file contains a jupyter notebook, julia project toml file and a README in order to reproduce the simulations illustrating how different temperature dynamics can lead to different inferred thermal performance curves in populations.</p> <p> </p>
Code for Manuscript - Near-term lake water temperature forecasts can be used to anticipate the ecological dynamics of freshwater species -
<p>Code for Manuscript - Near-term lake water temperature forecasts can be used to anticipate the ecological dynamics of freshwater species -</p>
Coopetition as an ecological dynamic: interactions between dense seasonal macroalgal mats and oysters on temperate shellfish reefs
<p>We document the proliferation of dense algal mats on intertidal oyster reefs in the Southeastern USA. We also use data from a small field experiment to understand the effects that oysters have on macroalgae. The data and code included here can be used to replicate all analyses and figures in the manuscript.</p>
Raw data for: Stable Isotope Trajectory Analysis (SITA): A new approach to quantify and visualize dynamics in stable isotope studies. Sturbois et al., in revision in Ecological Monographs
<p>These data sets are used as ecological applications in Sturbois et al., in revision, Stable Isotope Trajectory Analysis (SITA): A new approach to quantify and visualize dynamics in stable isotope studies. submitted in Ecological Monographs.</p> <p>- DataS1_furseals.Rdata originates from: Kernaléguen, L., Cazelles, B., Arnould, J.P.Y., Richard, P., Guinet, C., Cherel, Y., 2012. Long-Term Species, Sexual and Individual Variations in Foraging Strategies of Fur Seals Revealed by Stable Isotopes in Whiskers. PLoS ONE 7, e32916. https://doi.org/10.1371/journal.pone.0032916</p> <p>- DataS2_Pike.Rdata originates from: Cucherousset, J., Paillisson, J.-M., Roussel, J.-M., 2013. Natal departure timing from spatially varying environments is dependent of individual ontogenetic status. Naturwissenschaften 100, 761–768. https://doi.org/10.1007/s00114-013-1073-y</p> <p>- DataS4_GT1.Rdata and DataS5_GT2.Rdata originate from: Quillien, N., Nordström, M.C., Schaal, G., Bonsdorff, E., Grall, J., 2016. Opportunistic basal resource simplifies food web structure and functioning of a highly dynamic marine environment. Journal of Experimental Marine Biology and Ecology 477, 92–102.</p> <p>- DataS6_Lakes.Rdata originates from: Zhao, T., Villéger, S., Cucherousset, J., 2019. Accounting for intraspecific diversity when examining relationships between non-native species and functional diversity. Oecologia 189, 171–183. https://doi.org/10.1007/s00442-018-4311-3</p> <p>Information about respective sampling strategies and sample preparation are available in these original articles. All use of this data sets must cite original article as well as the SITA article.</p>
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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.