Academic literature on the topic 'Distance sampling'

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Journal articles on the topic "Distance sampling"

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Kulkarni, Mandar M. "Mahalanobis Distance-based Over-Sampling Technique." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (2020): 874–82. http://dx.doi.org/10.5373/jardcs/v12sp8/20202591.

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Richardson, Alice M. "Advanced Distance Sampling." Ecology 89, no. 12 (2008): 3550–51. http://dx.doi.org/10.1890/0012-9658-89.12.3550.

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Barry, Simon C., and A. H. Welsh. "Distance sampling methodology." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 63, no. 1 (2001): 23–31. http://dx.doi.org/10.1111/1467-9868.00274.

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Buckland, S. T., C. S. Oedekoven, and D. L. Borchers. "Model-Based Distance Sampling." Journal of Agricultural, Biological, and Environmental Statistics 21, no. 1 (2015): 58–75. http://dx.doi.org/10.1007/s13253-015-0220-7.

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Marques, Tiago. "Distance sampling: estimating animal density." Significance 6, no. 3 (2009): 136–37. http://dx.doi.org/10.1111/j.1740-9713.2009.00380.x.

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Howe, Eric J., Stephen T. Buckland, Marie‐Lyne Després‐Einspenner, and Hjalmar S. Kühl. "Distance sampling with camera traps." Methods in Ecology and Evolution 8, no. 11 (2017): 1558–65. http://dx.doi.org/10.1111/2041-210x.12790.

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Clark, Robert Graham. "Statistical Efficiency in Distance Sampling." PLOS ONE 11, no. 3 (2016): e0149298. http://dx.doi.org/10.1371/journal.pone.0149298.

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Miller, Mark W. "Distance Sampling: Methods and Applications." Bird Study 63, no. 1 (2016): 152–53. http://dx.doi.org/10.1080/00063657.2016.1148352.

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Nielson, Ryan M., Robert T. Sugihara, Thomas J. Boardman, and Richard M. Engeman. "Optimization of ordered distance sampling." Environmetrics 15, no. 2 (2004): 119–28. http://dx.doi.org/10.1002/env.627.

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Borchers, David, Tiago Marques, Thorvaldur Gunnlaugsson, and Peter Jupp. "Estimating Distance Sampling Detection Functions When Distances Are Measured With Errors." Journal of Agricultural, Biological, and Environmental Statistics 15, no. 3 (2010): 346–61. http://dx.doi.org/10.1007/s13253-010-0021-y.

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Dissertations / Theses on the topic "Distance sampling"

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Pollard, John. "Adaptive distance sampling." Thesis, University of St Andrews, 2002. http://hdl.handle.net/10023/15176.

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We investigate mechanisms to improve efficiency for line and point transect surveys of clustered populations by combining the distance methods with adaptive sampling. In adaptive sampling, survey effort is increased when areas of high animal density are located, thereby increasing the number of observations. We begin by building on existing adaptive sampling techniques, to create both point and line transect adaptive estimators, these are then extended to allow the inclusion of covariates in the detection function estimator. However, the methods are limited, as the total effort required cannot
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Oedekoven, Cornelia Sabrina. "Mixed effect models in distance sampling." Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/3618.

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Recently, much effort has been expended for improving conventional distance sampling methods, e.g. by replacing the design-based approach with a model-based approach where observed counts are related to environmental covariates (Hedley and Buckland, 2004) or by incorporating covariates in the detection function model (Marques and Buckland, 2003). While these models have generally been limited to include fixed effects, we propose four different methods for analysing distance sampling data using mixed effects models. These include an extension of the two-stage approach (Buckland et al., 2009), w
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Marques, Tiago André. "Incorporating measurement error and density gradients in distance sampling surveys /." St Andrews, 2007. http://hdl.handle.net/10023/391.

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Marques, Tiago Andre Lamas Oliveira. "Incorporating measurement error and density gradients in distance sampling surveys." Thesis, University of St Andrews, 2007. http://hdl.handle.net/10023/391.

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Distance sampling is one of the most commonly used methods for estimating density and abundance. Conventional methods are based on the distances of detected animals from the center of point transects or the center line of line transects. These distances are used to model a detection function: the probability of detecting an animal, given its distance from the line or point. The probability of detecting an animal in the covered area is given by the mean value of the detection function with respect to the available distances to be detected. Given this probability, a Horvitz-Thompson- like estima
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Glennie, Richard. "Incorporating animal movement with distance sampling and spatial capture-recapture." Thesis, University of St Andrews, 2018. http://hdl.handle.net/10023/16467.

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Distance sampling and spatial capture-recapture are statistical methods to estimate the number of animals in a wild population based on encounters between these animals and scientific detectors. Both methods estimate the probability an animal is detected during a survey, but do not explicitly model animal movement. The primary challenge is that animal movement in these surveys is unobserved; one must average over all possible paths each animal could have travelled during the survey. In this thesis, a general statistical model, with distance sampling and spatial capture-recapture as special cas
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Alexandridis, Roxana Antoanela. "Minimum disparity inference for discrete ranked set sampling data." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1126033164.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xi, 124 p.; also includes graphics. Includes bibliographical references (p. 121-124). Available online via OhioLINK's ETD Center
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Zerbini, Alexandre N. "Improving precision in multiple covariate distance sampling : a case study with whales in Alaska /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/5391.

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Miller, David. "On smooth models for complex domains and distances." Thesis, University of Bath, 2012. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557819.

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Spline smoothing is a popular technique for creating maps of a spatial phenomenon. Most smoothers use the Euclidean metric to measure the distance between data. This approach is flawed since the distances between points in the domain as experienced by the objects within the domain are rarely Euclidean. For example, the movements of animals and people are subject to both physical and political boundaries (respectively) which must be navigated. Measuring distances between the objects using the incorrect (Euclidean) metric leads to incorrect inference. The first part of this thesis develops a fin
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Schold, Linnér Elisabeth. "Image processing on optimal volume sampling lattices : Thinking outside the box." Doctoral thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-265340.

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This thesis summarizes a series of studies of how image quality is affected by the choice of sampling pattern in 3D. Our comparison includes the Cartesian cubic (CC) lattice, the body-centered cubic (BCC) lattice, and the face-centered cubic (FCC) lattice. Our studies of the lattice Brillouin zones of lattices of equal density show that, while the CC lattice is suitable for functions with elongated spectra, the FCC lattice offers the least variation in resolution with respect to direction. The BCC lattice, however, offers the highest global cutoff frequency. The difference in behavior between
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Barrett, Michelle L. "Comparison of estimated white-tailed deer (Odocoileus virginianus) population densities during two different seasons in the Miami University Natural Areas." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1417016979.

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Books on the topic "Distance sampling"

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1574-2.

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T, Buckland S., ed. Advanced distance sampling. Oxford University Press, 2004.

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Buckland, S. T., E. A. Rexstad, T. A. Marques, and C. S. Oedekoven. Distance Sampling: Methods and Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19219-2.

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T, Buckland S., ed. Distance sampling: Estimating abundance of biological populations. Chapman & Hall, 1993.

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T, Buckland S., ed. Introduction to distance sampling: Estimating abundance of biological populations. Oxford University Press, 2001.

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Wesselman, A. M. The population-sample decomposition method: A distribution-free estimation technique for minimum distance parameters. M. Nijhoff, 1987.

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Franzetti, Barbara. La stima di popolazione degli ungulati mediante distance sampling e termocamera a infrarossi. Ministero dell'ambiente e della tutela del territorio, Direzione conservazione della natura, 2006.

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Marcy, Larry E. Distance sampling techniques: Section 6.2.2, US Army Corps of Engineers wildlife resources management manual. U.S. Army Engineer Waterways Experiment Station, 1988.

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Böhning, Dankmar. On minimizing chi-square distances under the hypothesis of homogeneity of independence for a two-way contingency table. Fachbereich Psychologie, Universität Osnabrück, 1985.

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Book chapters on the topic "Distance sampling"

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Introductory concepts." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_1.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Assumptions and modelling philosophy." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_2.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Statistical theory." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_3.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Line transects." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_4.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Point transects." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_5.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Extensions and related work." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_6.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Study design and field methods." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_7.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Illustrative examples." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_8.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Introductory concepts." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1574-2_1.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Assumptions and modelling philosophy." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1574-2_2.

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Conference papers on the topic "Distance sampling"

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Kundu, Chandra, Abiy Tasissa, and HanQin Cai. "Structured Sampling for Robust Euclidean Distance Geometry." In 2025 59th Annual Conference on Information Sciences and Systems (CISS). IEEE, 2025. https://doi.org/10.1109/ciss64860.2025.10944739.

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Lugo-del-Real, Eloina, Jorge A. Soto-Cajiga, Edmundo Guerra Paradas, and Antoni Grau. "Data Acquisition Architecture for a Navigation System of a PIG Based on Distance Sampling." In 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2024. http://dx.doi.org/10.1109/etfa61755.2024.10710669.

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Luo, Linbin, Sihan Lu, Yifeng Wang, Shengtong Wang, Feifan Cao, and Guochao Wang. "Phase measurement method based on sub-sampling solution for high-precision high-speed distance measurement." In Optical Metrology and Inspection for Industrial Applications XI, edited by Gerd Ehret, Benyong Chen, and Sen Han. SPIE, 2024. http://dx.doi.org/10.1117/12.3036415.

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Farah, Mogahid, and Abdulaziz Alruwaili. "Optimizing Ground Sampling Distance for Drone-Based GIS Mapping: A Case Study in Riyadh, Saudi Arabia." In 2024 9th International Conference on Robotics and Automation Engineering (ICRAE). IEEE, 2024. https://doi.org/10.1109/icrae64368.2024.10851681.

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Lewis, David. "Evaluation of Transmission Line Sag for Magnetically Induced Voltage on Pipelines in Shared Corridors." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19508.

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Abstract Transmission line phase conductors and overhead wires are affected by sag that vary the distance of these conductors to the earth. This corresponds to a varying separation distance of current carrying phase conductors producing the magnetic fields to parallel pipelines in shared corridors. This paper explores the effects of phase conductors and shield wires’ sag to evaluate the induced voltages on parallel pipelines. Methodologies to consider the sag of the conductors include catenary curves, straight sloped conductors mimicking the maximum and minimum conductor elevations, and unifor
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Pilu, M., and RB Fisher. "Equal-Distance Sampling of Supercllipse Models." In British Machine Vision Conference 1995. British Machine Vision Association, 1995. http://dx.doi.org/10.5244/c.9.26.

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Chen, Haoyu, Anna Little, and Akil Narayan. "Largest Angle Path Distance for Multi-Manifold Clustering." In 2023 International Conference on Sampling Theory and Applications (SampTA). IEEE, 2023. http://dx.doi.org/10.1109/sampta59647.2023.10301401.

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Zhou, Xiaofei, and Yong Shi. "Subspace Distance-Based Sampling Method for SVM." In 2010 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2010. http://dx.doi.org/10.1109/icdmw.2010.84.

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Kaltenecker, Christian, Alexander Grebhahn, Norbert Siegmund, Jianmei Guo, and Sven Apel. "Distance-Based Sampling of Software Configuration Spaces." In 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE). IEEE, 2019. http://dx.doi.org/10.1109/icse.2019.00112.

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Keil, U. D., and D. R. Dykaar. "Electro-optic sampling at zero propagation distance." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.tutt5.

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Fast electrical pulses can be routinely generated with short pulse lasers and electro-optic sampling. We extend these techniques to allow measurement of an electrical pulse before any dispersion mechanisms can affect the pulse. We show that pulses ~250 fs FWHM (full width at half maximum) can be generated in semi-insulating GaAs and that 200 fs FWHM can be generated in low temperature grown GaAs.1 Previous results for undamaged silicon on sapphire were limited by transmission line dispersion to a rise time of 260 fs.2 System limited electrical rise times (10–90%) of ~145 fs and optical cross c
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Reports on the topic "Distance sampling"

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Caers, Jef, Kwangwon PARK, and Celine SCHEIDT. Distance-Based Sampling of Posterior Distributions in Spatial Inverse Problems. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0099.

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Mitchell, Corey, Linda Allison, Corey Mitchell, and Linda Allison. Desert tortoise inventory at Lake Mead National Recreation Area: 2022 line distance sampling surveys. National Park Service, 2024. http://dx.doi.org/10.36967/2304840.

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The Mojave desert tortoise (Gopherus agassizii) inhabits the Mojave and Colorado Deserts in the southwestern United States. The Lake Mead National Recreation Area (NRA) spans the Colorado River corridor in Arizona and Nevada and sits at an ecologically important intersection of the listed and unlisted Mojave tortoise populations. A large portion of the Lake Mead NRA contains suitable desert tortoise habitat, but no contemporary estimates of population densities exist for different areas of the recreation area. Three of the long-term range-wide monitoring strata overlap the Lake Mead NRA: Eldor
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Green, Nicholas, Mark Wildhaber, and Janice Albers. Effectiveness of a distance sampling from roads program for white-tailed deer in the National Capital Region parks. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2284469.

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Saltus, Christina, Richard Johansen, Molly Reif, Weston Nowlin, Benjamin Schwartz, and Joshuah Perkins. Next Generation Ecological Models - Central Texas Watersheds: Geospatial Layers and Related Tables. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47608.

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Relevant geospatial data layers are required for developing next generation ecological response models for specific reaches of 5 rivers in Central Texas: Colorado, Concho, San Saba, Llano, and Pedernales Rivers. Therefore, a collaborative effort between Engineer Research and Development Center (ERDC), Texas State University, and Texas A&amp;M University was undertaken to acquire and curate a collection of biological and physical datasets to be utilized as inputs for next generation ecological response models at various spatial scales (watershed, river buffer, and point). The objective was to a
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Gardner, Coral, Matt Goode, Tom Philippi, and Don Swann. Using transect sampling and road cruising surveys to estimate abundance and distribution of sidewinders (Crotalus cerastes) in Saguaro National Park, Tucson Mountain District: Final report. National Park Service, 2024. http://dx.doi.org/10.36967/2302204.

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Saguaro National Park, Tucson Mountain District (TMD) includes a portion of the Tucson Mountains and adjacent lower bajada landscapes along the western boundary in Avra Valley. Threats to TMD include urban encroachment, busy commuter roads running through the interior and along the boundaries, agricultural development, and the Arizona Canal and water recharge basin. Plans to route Interstate 11 within 400 m of the western boundary have led to concerns over projected negative impacts on wildlife. Among the species of concern is the Sidewinder (Crotalus cerastes), primarily because the populatio
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Underwood, H., Madison Hand, Donald Leopold, Madison Hand, Donald Leopold, and H. Underwood. Abundance and distribution of white-tailed deer on First State National Historical Park and surrounding lands. National Park Service, 2024. http://dx.doi.org/10.36967/2305428.

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We estimated both abundance and distribution of white-tailed deer (Odocoileus virginianus) on the Brandywine Valley unit of First State National Historical Park (FRST) and the Brandywine Creek State Park (BCSP) during 2020 and 2021 with two widely used field methods ? a road-based count and a network of camera traps. We conducted 24 road-based counts, covering 260 km of roadway, and deployed up to 16 camera traps, processing over 82,000 images representing over 5,000 independent observations. In both years, we identified bucks based on their body and antler characteristics, tracking their move
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Henk, Jordan. Applications of GIS, Advanced Sensors and Habitat Modeling in Support of Desert Tortoise Line Distance, Sampling and Translocation Studies Related to the Proposed Expansion of the Ft. Irwin NTC. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada498532.

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Bigl, Matthew, Samuel Beal, and Charles Ramsey. Determination of residual low-order detonation particle characteristics from IMX-104 mortar rounds. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42163.

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The environmental fate and transport of energetic compounds on military training ranges are largely controlled by the particle characteristics of low-order detonations. This study demonstrated a method of command detonation, field sampling, laboratory processing, and analysis techniques for characterizing low-order detonation particles from 60 mm and 81 mm mortar rounds containing the insensitive munition formulation IMX-104. Particles deposited from three rounds of each caliber were comprehensively sampled and characterized for particle size, energetic purity, and morphology. The 60 mm rounds
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Wang, Guiming, Bronson Strickland, and Xueyan Shan. Vicksburg National Military Park white‐tailed deer survey. National Park Service, 2025. https://doi.org/10.36967/2307610.

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White-tailed deer (WTD) can exert substantial impacts on the ecosystems in the Southeastern United States, particularly by overabundant WTD populations that are sheltered from recreational hunting pressure such as those in the National Parks. Information on WTD abundance and density is indispensable for science-based WTD population management. WTD populations in Vicksburg National Military Park (VICK) have not been surveyed since 2010. Management of WTD populations has been challenged by the lack of reliable, cost-effective methods, such as a deer visual count-density calibration coefficient,
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Shriver, Greg, and Leah Rudge. Grassland bird and raptor inventory of Harpers Ferry National Historical Park, 2022. National Park Service, 2024. http://dx.doi.org/10.36967/2304340.

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Harpers Ferry National Historical Park (NHP) includes grassland habitats that are maintained for the interpretation of historic Civil War battles. In 2022, as part of the National Park Service Inventory and Monitoring program, the University of Delaware conducted a grassland bird and raptor inventory in the park. The goals of this inventory were to determine the grassland bird use of Harpers Ferry grasslands during Spring and Fall migration, estimate the abundance and daily nest survival for focal breeding species, and determine the raptor use during migration. We established and used multiple
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