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10 results for “corridor conservation”
A framework to identify priority wetland habitats and movement corridors for urban amphibian conservation
<p>Core corridors: derived from Circuitscape modeling results -top 50% of wood frog, boreal chorus frog and tiger salamander results converted to binary value and summed to produce core corridors (probable movement for 2-3 amphibian species). <br> <br> To derive core corridors, we summed connectivity models for three amphibian species. For each species we derived focal nodes from high habitat value (based on HSI modelling), used three resistance scenarios and summed the three scenarios for each species to represent probable movement pathways between focal nodes. Species connectivity models were then classified to top 50% of the model, and converted to a binary value of 0 to 1. The three species were summed where by values 0-3 represent number of amphibian species the corridor probably supports movement. </p>
A framework to identify priority wetland habitats and movement corridors for urban amphibian conservation - Raw Data
<p>Call of the Wetland Program observation data reported by citizen scientists at wetlands in the City of Calgary during three amphibian seasons from 2017 to 2019. Wetlands were surveyed up to 11 times per season and participants reported observations to a smartphone application – where they documented species, and type of observation (eggs, adult, juvenile, tadpole or call). Participants also recorded when they participated in a survey and there were no observations. Observations associated without a site ID represent opportunistic observations at non-survey wetlands. This data was used to validate habitat suitability models derived from the occupancy modeling results. <br> <br> Survey wetland location shapefile (centroid point of wetland) also included. </p>
Identifying the environmental drivers of corridors and predicting connectivity between seasonal ranges in multiple populations of Alpine ibex (Capra ibex) as tools for conserving migration
<p># GPS locations of Alpine ibex</p> <p>This dataset contains migratory tracks of Alpine ibex identified using the application Migration Mapper (https://migrationinitiative.org/content/migration-mapper) and used in the work <strong>Identifying the environmental drivers of corridors and predicting connectivity between seasonal ranges in multiple populations of Alpine ibex (<em>Capra ibex</em>) as tools for conserving migration</strong></p> <p># Dataset structure</p> <p>Each row of the dataset represents a GPS location with its coordinates contained in the x (longitude) and y(latitude) columns. Coordinates are given in wgs84 (epsg 4326).<br> The column t1_ informs on the date and time the location was recorded.<br> The id and pop columns provide information about the identity of the animal and the population to which it belongs.</p> <p> </p>
Data from: Conserving habitat for migratory ungulates: how wide is a migration corridor?
<ol> <li>Conserving migratory ungulates relies on the analysis of GPS collar data and associated maps of migration corridors to inform management and policy actions. Current methods for identifying migratory corridors use complex statistical models designed to account for movement uncertainty rather than estimating the amount of space required by animals to migrate. Further, such methods can complicate conservation efforts by producing highly variable corridor widths and non-contiguous corridors that do not fully connect seasonal ranges.</li> <li>To remedy this, we propose an intuitive line buffer approach for delineating individual migration corridors that is simple to implement and focuses on the functional corridor widths needed by migratory ungulates. </li> <li>By buffering a line that connects successive GPS locations, we can delineate individual migration corridors with consistent widths that are robust to variable parameters (GPS fix-rate, travel speed, tortuosity) and provide contiguous connection between seasonal ranges. Using a combination of expert knowledge, simulation, and 10-min GPS collar data collected from mule deer (<em>Odocoileus</em> <em>hemionus</em>) and pronghorn (<em>Antilocapra</em> <em>americana</em>), we suggest 400 to 600 m are reasonable estimates of functional migration corridor widths for individuals of those species.</li> <li>Our line buffer approach is intended to simplify migration corridor delineation, improve transparency, and encourage a broader discussion of functional corridor widths. These considerations help advance efforts to conserve habitat within migration corridors and prioritize conservation efforts within a single corridor or across multiple corridors.</li> </ol>
Data from: Conserving habitat for migratory ungulates: how wide is a migration corridor?
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Data from: Challenges of NGS in conservation management: insights from long-term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
Long-term genetic monitoring of populations is essential for efforts aimed at preserving genetic diversity of endangered species. Here, we employ a framework of long-term genetic monitoring to evaluate the effects of fragmentation and the effectiveness of the establishment of corridors in restoring population connectivity and genetic diversity of mouse lemurs Micocebus ganzhorni. To this end, we supplement estimates of neutral genetic diversity with the assessment of adaptive genetic variability of the MHC. In addition, we address the challenges of long-term genetic monitoring of functional diversity by comparing the genotyping performance and estimates of MHC variability generated by SSCP/Sanger-sequencing with those obtained by high throughput sequencing (NGS, Illumina), an issue that is particularly relevant when previous work serves as a baseline for planning management strategies that aim to ensure the viability of a population. We report that SSCP greatly underestimates individual diversity and that discrepancies in estimates of MHC diversity attributable to the comparisons of traditional and NGS genotyping techniques can influence the conclusions drawn from conservation management scenarios. Evidence of migration among fragments in Mandena suggests that mouse lemurs are robust to the process of fragmentation and that the effect of corridors is masked by ongoing gene flow. Nonetheless, results based on a larger number of shared private alleles at neutral loci between fragment pairs found after the establishment of corridors in Mandena suggest that gene flow is augmented as a result of enhanced connectivity. Our data points out that despite low effective population size, M. ganzhorni maintains high individual heterozygosity at neutral loci and at MHC II DRB gene and that selection plays a predominant role in maintaining MHC diversity. These findings highlight the importance of long-term genetic monitoring in order to disentangle between the processes of drift and selection maintaining adaptive genetic diversity in small populations.
Data from: Does wildlife resource selection accurately inform corridor conservation?
Evaluating landscape connectivity and identifying and protecting corridors for animal movement have become central challenges in applied ecology and conservation. Currently, resource selection analyses are widely used to focus corridor planning where animal movement is predicted to occur. An animal's behavioural state (e.g. foraging, dispersing) is a significant determinant of resource selection patterns, yet has largely been ignored in connectivity assessments. We review 16 years of connectivity studies employing resource selection analysis to evaluate how researchers have incorporated animal behaviour into corridor planning, and highlight promising new approaches for identifying wildlife corridors. To illustrate the importance of behavioural information in such analyses, we present an empirical case study to test behaviour-specific predictions of connectivity with long-distance dispersal movements of African wild dogs Lycaon pictus. We conclude by recommending strategies for developing more realistic connectivity models for future conservation efforts. Our review indicates that most connectivity studies conflate resource selection with connectivity requirements, which may result in misleading estimates of landscape resistance, and lack validation of proposed connectivity models with movement data. Our case study shows that including only directed movement behaviour when measuring resource selection reveals markedly different, and more accurate, connectivity estimates than a model measuring resource selection independent of behavioural state. Synthesis and applications. Our results, using African wild dogs as a case study, suggest that resource selection analyses that fail to consider an animal's behavioural state may be insufficient in targeting movement pathways and corridors for protection. This failure may result in misidentification of wildlife corridors and misallocation of limited conservation resources. Our findings underscore the need for considering patterns of animal movement in appropriate behavioural contexts to ensure the effective application of resource selection analyses for corridor planning.
Data from: Integrative approaches to guide conservation decisions: using genomics to define conservation units and functional corridors
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Data from: Challenges of NGS in conservation management: insights from long-term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
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Data from: Does wildlife resource selection accurately inform corridor conservation?
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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.
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International Brain Laboratory public data
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OpenNeuro
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