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Resources that might come handy to anyone using spatially explicit mark-capture-recapture models.

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This will hopefully grow to a comprehensive resources reference to anyone who is thinking of entering the realm of SECR. Some paper may not be explicitly mark-recapture oriented, but are closely knit with the methods.

Books

Royle, J. A., Chandler, R. B., Sollmann, R., Gardner, B. (2013). Spatial mark-recapture. Academic press (ISBN: 9780124059399) (Bookdepository)

Williams, B., Nichols, J., & Conroy, M. (2002). Analysis and management of animal populations. Modeling, estimation, and decision making. Academic press. Retrieved from http://www.elsevier.com/books/analysis-and-management-of-animal-populations/williams/978-0-12-754406-9

(R) resources

Augustine, B. and Royle, A. (2016) SPIM: Open population SCR MCMC sampler. R package available on GitHub

Cox, M. J., Borcher, D. L., Kelly, N., Borchers, D. L., & Kelly, N. (2013). nupoint: An R package for density estimation from point transects in the presence of nonuniform animal density. Methods in Ecology and Evolution, 4(6), 1–18. http://doi.org/10.1111/2041-210X.12058

Efford, M. G., Dawson, D. K., & Robbins, C. S. (2004). DENSITY: Software for analysing capture-recapture data from passive detector arrays. Animal Biodiversity and Conservation, 27(1), 217–228. http://doi.org/1

Efford, M. G. (2015). secr: Spatially explicit capture-recapture models. R package version 2.10.0. http://CRAN.R-project.org/package=secr

Efford, M. G. (2017). What could possibly go wrong? Troubleshooting spatially explicit capture–recapture models in secr 3.0. http://www.otago.ac.nz/density/pdfs/secr-troubleshooting.pdf

Efford, M. G. (2017). A tutorial on fitting spatially explicit capture–recapture models in secr. http://www.otago.ac.nz/density/pdfs/secr-tutorial.pdf

Fiske, I., Chandler, R. (2011). unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance. Journal of Statistical Software, 43(10), 1-23. URL http://www.jstatsoft.org/v43/i10/

Gopalaswamy, A. M., Royle, J. A., Hines, J. E., Singh, P., Jathanna, D., Kumar, N. S., & Karanth, K. U. (2012). Program SPACECAP: Software for estimating animal density using spatially explicit capture-recapture models. Methods in Ecology and Evolution, 3(6), 1067–1072. http://doi.org/10.1111/j.2041-210X.2012.00241.x

Ivan, J. S., & Newkirk, E. S. (2016). Cpw Photo Warehouse: A custom database to facilitate archiving, identifying, summarizing and managing photo data collected from camera traps. Methods in Ecology and Evolution, 7(4), 499–504. http://doi.org/10.1111/2041-210X.12503

Laake, J.L. (2013). RMark: An R Interface for Analysis of Capture-Recapture Data with MARK. AFSC Processed Rep 2013-01, 25p. Alaska Fish. Sci. Cent., NOAA, Natl. Mar. Fish. Serv., 7600 Sand Point Way NE, Seattle WA 98115

McClintock, B. T. (2015). Multimark: An R package for analysis of capture-recapture data consisting of multiple “noninvasive” marks. Ecology and Evolution, 5(21), 4920–4931. http://doi.org/10.1002/ece3.1676

Morin, D., Fuller, A. K., Royle, J. A., & Sutherland, C. (2017). Model-based estimators of density and connectivity to inform conservation of spatially structured populations. Ecosphere, 8(1)(January), 1–16. http://doi.org/10.1002/ecs2.1623

Moya, Ó., Mansilla, P.-L., Madrazo, S., Igual, J.-M., Rotger, A., Romano, A., & Tavecchia, G. (2015). APHIS: A new software for photo-matching in ecological studies. Ecological Informatics, 27, 64–70. http://doi.org/10.1016/j.ecoinf.2015.03.003

Muscarella, R., Galante, P. J., Soley-Guardia, M., Boria, R. A., Kass, J. M., Uriarte, M., & Anderson, R. P. (2014). ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models. Methods in Ecology and Evolution, 5(11), 1198–1205. http://doi.org/10.1111/2041-210X.12261

Nguyen, T., Sinha, A., Gholami, S., Plumptre, A. J., Joppa, L. N., Tambe, M., … Beale, C. M. (2016). CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection. Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Niedballa, J., Sollmann, R., Courtiol, A., & Wilting, A. (2016). camtrapR: an R package for efficient camera trap data management. Methods in Ecology and Evolution. http://doi.org/10.1111/2041-210X.12600

Royle, J. A., Chandler, R. B., Sollman, R., Gardner, B. (2013). scrbook R package. https://sites.google.com/site/spatialcapturerecapture/scrbook-r-package

Royle, J. A., Karanth, K. U., Gopalaswamy, A. M., Kumar, N. S. (2009). SCRbayes R package. https://sites.google.com/site/spatialcapturerecapture/scrbayes-r-package

Swinnen, K. R. R., Reijniers, J., Breno, M., & Leirs, H. (2014). A novel method to reduce time investment when processing videos from camera trap studies. PloS One, 9(2), e98881. http://doi.org/10.1371/journal.pone.0098881

Papers

Methodological

Augustine, B. C., Royle, J. A., Kelly, M. J., Satter, C. B., Alonso, R. S., & Crooks, K. R. (2016). Spatial capture-recapture with partial identity: An application to camera traps. bioRxiv. http://doi.org/10.1101/056804 (code)

Moqanaki, E. M., Jiménez, J., & López-Bao, J. V. (2018). Counting bears in the Iranian Caucasus : Remarkable mismatch between scientifically-sound population estimates and perceptions. Biological Cons

Benhamou, S. (1988). Analyzing spatial relationships from trapping data. Journal of Mammalogy, 69(4), 828–831. http://doi.org/10.2307/1381641

Boulanger, J., & McLellan, B. (2001). Corrigendum: Closure violation in DNA-based mark-recapture estimation of grizzly bear populations. Canadian Journal of Zoology, 79(8), 1532. http://doi.org/10.1139/z01-121

Borchers, D. L., & Efford, M. G. (2008). Spatially explicit maximum likelihood methods for capture-recapture studies. Biometrics, 64(2), 377–385. http://doi.org/j.1541-0420.2007.00927.x

Borchers, D. (2012). A non-technical overview of spatially explicit capture-recapture models. Journal of Ornithology. http://doi.org/10.1007/s10336-010-0583-z

Borchers, D. L., & Fewster, R. M. (2013). Spatial capture-recapture models. Statistical Science, 1–20. http://doi.org/10.1016/B978-0-12-405939-9.00020-7

Borchers, D., Distiller, G., Foster, R., Harmsen, B., & Milazzo, L. (2014). Continuous-time spatially explicit capture-recapture models, with an application to a jaguar camera-trap survey. Methods in Ecology and Evolution, 5(7), 656–665. http://doi.org/10.1111/2041-210X.12196

Borchers, D. L., Stevenson, B. C., Kidney, D., Thomas, L., & Marques, T. A. (2015). A Unifying Model for Capture–Recapture and Distance Sampling Surveys of Wildlife Populations. Journal of the American Statistical Association, 110(509), 195–204. http://doi.org/10.1080/01621459.2014.893884

Borchers, D. L., & Marques, T. A. (2017). From distance sampling to spatial capture–recapture. AStA Advances in Statistical Analysis. http://doi.org/10.1007/s10182-016-0287-7

Bozarth, C. A., Gardner, B., Rockwood, L. L., & Jesús, E. (2015). Using fecal DNA and spatial capture-recapture to characterize a recent coyote colonization. Northeastern Naturalist, 22(1), 144–162. http://doi.org/10.1656/045.022.0124

Chandler, R. B., Royle, J. A., & King, D. I. (2011). Inference about density and temporary emigration in unmarked populations. Ecology, 92(7)(7), 1429–1435. http://doi.org/10.1890/10-2433.1

Chandler, R. B., & Andrew Royle, J. (2013). Spatially explicit models for inference about density in unmarked or partially marked populations. Annals of Applied Statistics, 7(2), 936–954. http://doi.org/10.1214/12-AOAS610

Chandler, R. B., & Clark, J. D. (2014). Spatially explicit integrated population models. Methods in Ecology and Evolution, 5(12), 1351–1360. http://doi.org/10.1111/2041-210X.12153

Chandler, R. B., Hepinstall-Cymerman, J., Merker, S., Abernathy-Conners, H., & Cooper, R. J. (2018). Characterizing spatio-temporal variation in survival and recruitment with integrated population models. The Auk, 135(3), 409–426. http://doi.org/10.1642/AUK-17-181.1

Crimmins, S. M., Walleser, L. R., Hertel, D. R., McKann, P. C., Rohweder, J. J., & Thogmartin, W. E. (2015). Relating mesocarnivore relative abundance to anthropogenic land-use with a hierarchical spatial count model. Ecography, (May), n/a–n/a. http://doi.org/10.1111/ecog.01179

Davidson, G. A., Clark, D. A., Johnson, B. K., Waits, L. P., & Adams, J. R. (2014). Estimating cougar densities in northeast Oregon using conservation detection dogs. The Journal of Wildlife Management, 78(6), 1104–1114. http://doi.org/10.1002/jwmg.758

Dey, S., Delampady, M., Karanth, K. U., & Gopalaswamy, A. M. (2017). A spatially explicit capture recapture model for partially identified individuals when trap detection rate is less than one. Biometrics, 0, 1–25. Retrieved from https://arxiv.org/pdf/1712.10035.pdf

Distiller, G., & Borchers, D. L. (2015). A spatially explicit capture-recapture estimator for single-catch traps. Ecology and Evolution, 5(21), 5075–5087. http://doi.org/10.1002/ece3.1748

Drewry, J. M., Van Manen, F. T., & Ruth, D. M. (2013). Density and genetic structure of black bears in coastal South Carolina. Journal of Wildlife Management, 77(1), 153–164. http://doi.org/10.1002/jwmg.443

Dorazio, R. M. (2013). Bayes and empirical bayes estimators of abundance and density from spatial capture-recapture data. PLoS ONE, 8(12), 1–12. http://doi.org/10.1371/journal.pone.0084017

Dorazio, R. M. (2014). Accounting for imperfect detection and survey bias in statistical analysis of presence-only data. Global Ecology and Biogeography, n/a–n/a. http://doi.org/10.1111/geb.12216

Dorazio, R. M. (2016). Bayesian data analysis in population ecology: motivations, methods, and benefits. Population Ecology, 58(1), 31–44. http://doi.org/10.1007/s10144-015-0503-4

Dutta, T., Sharma, S., Maldonado, J. E., Wood, T. C., Panwar, H. S., & Seidensticker, J. (2013). Fine-scale population genetic structure in a wide-ranging carnivore, the leopard (Panthera pardus fusca) in central India. Diversity and Distributions, 19(7), 760–771. http://doi.org/10.1111/ddi.12024

Efford, M. (2004). Density estimation in live-trapping studies. Oikos, 106, 598–610. http://doi.org/10.1111/j.0030-1299.2004.13043.x

Efford, M. G., & Dawson, D. K. (2009). Effect of distance-related heterogeneity on population size estimates from point counts. The Auk, 126(1), 100–111. http://doi.org/10.1525/auk.2009.07197

Efford, M. G., Borchers, D. L., & Byron, A. E. (2009). Density estimation by spatially explicit capture-recapture: Likelihood-based methods. Environmental and Ecological Statistics. http://doi.org/10.1007/978-0-387-78151-8

Efford, M. G., Dawson, D. K., & Borchers, D. L. (2009). Population density estimated from locations of individuals on a passive detector array. Ecology, 90(10), 2676–2682. http://doi.org/10.1890/08-1735.1

Efford, M. G. (2011). Estimation of population density by spatially explicit capture-recapture analysis of data from area searches. Ecology, 92(12), 2202–2207. http://doi.org/10.1890/11-0332.1

Efford, M. G., Borchers, D. L., & Mowat, G. (2013). Varying effort in capture-recapture studies. Methods in Ecology and Evolution, 4(7), 629–636. http://doi.org/10.1111/2041-210X.12049

Efford, M. G., & Fewster, R. M. (2013). Estimating population size by spatially explicit capture-recapture. Oikos, 122(6), 918–928. http://doi.org/10.1111/j.1600-0706.2012.20440.x

Efford, M., & Mowat, G. (2013). Compensatory heterogeneity in spatially explicit capture− recapture data. Ecology, 95(5), 1341–1348. http://doi.org/10.1890/13-1497.1

Efford, M. G. (2014). Bias from heterogeneous usage of space in spatially explicit capture-recapture analyses. Methods in Ecology and Evolution, 5(7), 599–602. http://doi.org/10.1111/2041-210X.12169

Efford, M. G., Dawson, D. K., Jhala, Y. V., & Qureshi, Q. (2015). Density-dependent home-range size revealed by spatially explicit capture-recapture. Ecography, n/a–n/a. http://doi.org/10.1111/ecog.01511

Foster, R. J., & Harmsen, B. J. (2012). A critique of density estimation from camera-trap data. Journal of Wildlife Management, 76(2), 224–236. http://doi.org/10.1002/jwmg.275

Galindo-Leal, C. (1990). Live-trapping vs. snap-trapping of deer mice: a comparison of methods. Acta Theriologica, 35(3-4), 357–363.

Gardner, B., Royle, J. A., & Wegan, M. T. (2009). Hierarchical models for estimating density from DNA mark-recapture studies. Ecology, 90(4), 1106–1115. http://doi.org/10.1890/07-2112.1

Gerber, B. D., Karpanty, S. M., & Kelly, M. J. (2012). Evaluating the potential biases in carnivore capture-recapture studies associated with the use of lure and varying density estimation techniques using photographic-sampling data of the Malagasy civet. Population Ecology, 54(1), 43–54. http://doi.org/10.1007/s10144-011-0276-3

Gerber, B. D., & Parmenter, R. R. (2015). Spatial capture-recapture model performance with known small-mammal densities. Ecological Applications, 25(3), 695–705. http://doi.org/10.1890/14-0960.1.sm

Gimenez, O., Choquet, R., Lamor, L., Scofield, P., Fletcher, D., Lebreton, J.-D., & Pradel, R. (2005). Efficient profile-likelihood confidence intervals for capture-recapture models. Journal of Agricultural, Biological, and Environmental Statistics, 10(2), 184–196. http://doi.org/10.1198/108571105X46462

Hanks, E. M., Hooten, M. B., Knick, S. T., Oyler-McCance, S. J., Fike, J. A., Cross, T. B., & Schwartz, M. K. (2016). Latent spatial models and sampling design for landscape genetics. The Annals of Applied Statistics, 10(2), 1041–1062. http://doi.org/10.1214/16-AOAS929

Haynes, K. J., & Cronin, J. T. (2006). Interpatch movement and edge effects: The role of behavioral responses to the landscape matrix. Oikos, 113(1), 43–54. http://doi.org/10.1111/j.0030-1299.2006.13977.x

Ivan, J. S., White, G. C., & Shenk, T. M. (2013). Using auxiliary telemetry information to estimate animal density from capture-recapture data. Ecology, 94(4), 809–816. http://doi.org/10.1890/12-0101.1

Ivan, J. S., White, G. C., & Shenk, T. M. (2013). Using simulation to compare methods for estimating density from capture-recapture data. Ecology, 94(4), 817–826. http://doi.org/10.1890/12-0102.1

Kendall, W. L. (1999). Robustness of closed capture-recapture methods to violations of the closure assumption. Ecology, 80(8), 2517–2525. Retrieved from http://www.jstor.org/stable/177237

Kéry, M., Gardner, B., Stoeckle, T., Weber, D., & Royle, J. A. (2010). Use of spatial capture-recapture modeling and DNA data to estimate densities of elusive animals. Conservation Biology, 25(2), 356–364. http://doi.org/10.1111/j.1523-1739.2010.01616.x

Linden, D. W., Sirén, A. P. K., & Pekins, P. J. (2018). Integrating telemetry data into spatial capture-recapture modifies inferences on multi-scale resource selection. Ecosphere, 9(4), e02203. http://doi.org/10.1002/ecs2.2203

Marques, T. A., Thomas, L., & Royle, J. A. (2011). A hierarchical model for spatial capture-recapture data: comment. Ecology, 92(2), 526–528.

Manning, T., Edge, W. D., & Wolff, J. O. (1995). Evaluating population-size estimators: an empirical approach. Journal of Mammalogy, 76(4), 1149–1158.

Manning, J. a, & Goldberg, C. S. (2010). Estimating population size using capture-recapture encounter histories created from point-coordinate locations of animals. Methods in Ecology and Evolution, 1(4), 389–397. http://doi.org/10.1111/j.2041-210X.2010.00041.x

Marucco, F., Boitani, L., Pletscher, D. H., & Schwartz, M. K. (2011). Bridging the gaps between non-invasive genetic sampling and population parameter estimation. European Journal of Wildlife Research, 57, 1–13. http://doi.org/10.1007/s10344-010-0477-7

Milleret, C., Dupont, P., Brøseth, H., Kindberg, J., Andrew Royle, J., & Bischof, R. (2018). Using partial aggregation in Spatial Capture Recapture. Methods in Ecology and Evolution. http://doi.org/10.1111/2041-210X.13030

Ramsey, D. S. L., Caley, P. A., & Robley, A. (2015). Estimating population density from presence-absence data using a spatially explicit model. Journal of Wildlife Management, 79(3), 491–499. http://doi.org/10.1002/jwmg.851

Reich, B. J., & Gardner, B. (2014). A spatial capture-recapture model for territorial species. Environmetrics, 1–9. Retrieved from http://arxiv.org/abs/1405.1976

Rowcliffe, J. M., Field, J., Turvey, S. T., & Carbone, C. (2008). Estimating animal density using camera traps without the need for individual recognition. Journal of Applied Ecology, 45(4), 1228–1236. http://doi.org/10.1111/j.1365-2664.2008.01473.x

Royle, J. A. (2004). N-mixture models for estimating population size from spatially replicated counts. Biometrics, 60(March), 108–115. Retrieved from https://classes.warnercnr.colostate.edu/bayes-workshop/files/2013/04/Royle_Biometrics_2004.pdf

Royle, J. A. (2004). Generalized estimators of avian abundance from count survey data. Animal Biodiversity and Conservation, 27(1), 375–386. Retrieved from http://abc.museucienciesjournals.cat/volum-27-1-2004-abc/generalized-estimators-of-avian-abundance-from-count-survey-data/?lang=en

Royle, J. A., & Young, K. V. (2008). A hierarchical model for spatial capture recapture data. Ecology, 89(8), 2281–2289. http://doi.org/10.1890/07-0601.1

Royle, A., Nichols, J. D., Karanth, K. U., & Gapalaswamy, A. M. (2009). A hierarchical model for estimating density in camera-trap studies. Journal of Applied Ecology, 46, 118–127. http://doi.org/10.1111/j.1365-2664.2008.01578.x

Royle, J. A., Karanth, K. U., Gopalaswamy, A. M., & Kumar, N. S. (2009). Bayesian inference in camera trapping studies for a class of spatial capture-recapture models. Ecology, 90(11), 3233–3244. http://doi.org/10.1890/08-1481.1

Royle, J. A. (2009). Analysis of capture-recapture models with individual covariates using data augmentation. Biometrics, 65(1), 267–274. http://doi.org/10.1111/j.1541-0420.2008.01038.x

Royle, J. A., Kéry, M., & Guélat, J. (2011). Spatial capture-recapture models for search-encounter data. Methods in Ecology and Evolution, 2(6), 602–611. http://doi.org/10.1111/j.2041-210X.2011.00116.x

Royle, J. A., & Dorazio, R. M. (2012). Parameter-expanded data augmentation for Bayesian analysis of capture-recapture models. Journal of Ornithology, 152(SUPPL. 2), 521–537. http://doi.org/10.1007/s10336-010-0619-4

Royle, J. A., Chandler, R. B., Yackulic, C., & Nichols, J. D. (2012). Likelihood analysis of species occurrence probability from presence-only data for modelling species distributions. Methods in Ecology and Evolution, 3(3), 545–554. http://doi.org/10.1111/j.2041-210X.2011.00182.x

Royle, J. A., Chandler, R. B., Gazenski, K. D., & Graves, T. A. (2013). Spatial capture-recapture models for jointly estimating population density and landscape connectivity. Ecology, 94(2), 287–294. http://doi.org/10.1890/12-0413.1

Royle, J. A., Chandler, R. B., Sun, C. C., & Fuller, A. K. (2013). Integrating resource selection information with spatial capture-recapture. Methods in Ecology and Evolution, 4(6), 520–530. http://doi.org/10.1111/2041-210X.12039

Royle, J. A., & Converse, S. J. (2014). Hierarchical spatial capture-recapture models: Modelling population density in stratified populations. Methods in Ecology and Evolution, 5(1), 37–43. http://doi.org/10.1111/2041-210X.12135

Royle, J. A., Chandler, R. B., Sun, C. C., & Fuller, A. K. (2014). Reply to Efford on “Integrating resource selection information with spatial capture-recapture”. Methods in Ecology and Evolution, 5(7), 603–605. http://doi.org/10.1111/2041-210X.12205

Royle, J. A., Fuller, A. K., & Sutherland, C. (2016). Spatial capture–recapture models allowing Markovian transience or dispersal. Population Ecology, 58(1), 53–62. http://doi.org/10.1007/s10144-015-0524-z

Royle, J. A., Fuller, A. K., & Sutherland, C. (2017). Unifying Population and Landscape Ecology with Spatial Capture-recapture. bioRxiv, 31. http://doi.org/10.1101/103341

Sollmann, R., Tôrres, N. M., Furtado, M. M., De Almeida Jácomo, A. T., Palomares, F., Roques, S., & Silveira, L. (2013). Combining camera-trapping and noninvasive genetic data in a spatial capture-recapture framework improves density estimates for the jaguar. Biological Conservation, 167, 242–247. http://doi.org/10.1016/j.biocon.2013.08.003

Sollmann, R., Gardner, B., & Belant, J. L. (2012). How does spatial study design influence density estimates from spatial capture-recapture models? PLoS ONE, 7(4), 1–8. http://doi.org/10.1371/journal.pone.0034575

Speed, C. W., Meekan, M. G., & Bradshaw, C. J. A. (2007). Spot the match - wildlife photo-identification using information theory. Frontiers in Zoology, 4, 2. http://doi.org/10.1186/1742-9994-4-2

Spehar, S. N., Loken, B., Rayadin, Y., & Royle, J. A. (2015). Comparing spatial capture-recapture modeling and nest count methods to estimate orangutan densities in the Wehea Forest, East Kalimantan, Indonesia. Biological Conservation, 191(February 2016), 185–193. http://doi.org/10.1016/j.biocon.2015.06.013

Sun, C. C., Fuller, A. K., & Andrew Royle, J. (2014). Trap configuration and spacing influences parameter estimates in spatial capture-recapture models. PLoS ONE, 9(2), 1–9. http://doi.org/10.1371/journal.pone.0088025

Thompson, C. M., Royle, J. A., & Garner, J. D. (2012). A framework for inference about carnivore density from unstructured spatial sampling of scat using detector dogs. Journal of Wildlife Management, 76(4), 863–871. http://doi.org/10.1002/jwmg.317

Tallmon, D. A., & Mills, L. S. (2004). Edge effects and isolation: red-backed voles revisited. Conservation Biology, 18(6), 1658–1664. http://doi.org/10.1111/j.1523-1739.2004.00439.x

Wilton, C. M., Puckett, E. E., Beringer, J., Gardner, B., Eggert, L. S., & Belant, J. L. (2014). Trap Array Configuration Influences Estimates and Precision of Black Bear Density and Abundance. PLoS ONE, 9(10), e111257. http://doi.org/10.1371/journal.pone.0111257

Wilton, C. M., Beringer, J., Puckett, E. E., Eggert, L. S., & Belant, J. L. (2016). Spatiotemporal factors affecting detection of black bears during noninvasive capture-recapture surveys. Journal of Mammalogy, 97(1), 266–273. http://doi.org/10.1093/jmammal/gyv176

White, G. C. (2002). Discussion comments on: The use of auxiliary variables in capture-recapture modelling. An overview. Journal of Applied Statistics, 29(1-4), 103–106. http://doi.org/10.1080/02664760120108476

White, G. C., & Burnham, K. P. (1999). Program MARK: survival estimation from populations of marked animals. Bird Study, 46(sup001), S120–S139. http://doi.org/10.1080/00063659909477239

Whittington, J., & Sawaya, M. A. (2015). A comparison of grizzly bear demographic parameters estimated from non-spatial and spatial open population capture-recapture models. PLoS ONE, 10(7), e0134446. http://doi.org/10.1371/journal.pone.0134446

Wiegand, T., Revilla, E., & Knauer, F. (2004). Dealing with uncertainty in spatially explicit population models. Biodiversity and Conservation, 13(1), 53–78. http://doi.org/10.1023/B:BIOC.0000004313.86836.ab

Wilson, K. R., & Anderson, D. R. (1985). Evaluation of a density estimator based on a trapping web and distance sampling theory. Ecology. http://doi.org/10.2307/1939171

Wilson, K. R., & Anderson, D. R. (1985). Evaluation of two density estimators of small mammal population size. Journal of Mammalogy, 66(1), 13–21. http://doi.org/10.2307/1380951

Thompson, C. M., Royle, J. A., & Garner, J. D. (2012). A framework for inference about carnivore density from unstructured spatial sampling of scat using detector dogs. Journal of Wildlife Management, 76(4), 863–871. http://doi.org/10.1002/jwmg.317

Tioli, S., Cagnacci, F., Stradiotto, A., & Rizzoli, A. (2009). Edge effect on density estimates of a radiotracked population of yellow-necked mice. The Journal of Wildlife Management, 73(2), 184–190. http://doi.org/10.2193/2007-324

Tenan, S., Pedrini, P., Bragalanti, N., Groff, C., & Sutherland, C. (2017). Data integration for inference about spatial processes: A model-based approach to test and account for data inconsistency. PLOS ONE, 12(10), e0185588. https://doi.org/10.1371/journal.pone.0185588

Wiegand, T., Revilla, E., & Knauer, F. (2004). Dealing with uncertainty in spatially explicit population models. Biodiversity and Conservation, 13(1), 53–78. http://doi.org/10.1023/B:BIOC.0000004313.86836.ab

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Xue, Y., Fuller, A., Royle, J. A., & Gomes, C. P. (2017). Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information Auto Converge to the Minimal Resistance Path. Retrieved from http://www.cs.cornell.edu/~yexiang/publications/aaai17_scr_connectivity_xor.pdf

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Zhao, Q., Royle, J. A., & Boomer, G. S. (2017). Spatially explicit dynamic N-mixture models. Population Ecology, 1–8. http://doi.org/10.1007/s10144-017-0600-7

Zipkin, E. F., Sillett, T. S., Grant, E. H. C., Chandler, R. B., & Royle, J. A. (2013). Inferences about population dynamics from count data using multistate models: a comparison to capture-recpature approaches. Ecology and Evolution, 1–10. http://doi.org/10.1002/ece3.942

Zipkin, E. F., Thorson, J. T., See, K., Lynch, H. J., Campbell Grant, E. H., Kanno, Y., … Royle, J. A. (2013). Modeling structured population dynamics using data from unmarked individuals. Ecology, 1–10. http://doi.org/10.1890/13-1131.1

Application

Anile, S., Ragni, B., Randi, E., Mattucci, F., & Rovero, F. (2014). Wildcat population density on the Etna volcano, Italy: A comparison of density estimation methods. Journal of Zoology, 293(4), 252–261. http://doi.org/10.1111/jzo.12141

Arechavala-Lopez, P., Minguito-Frutos, M., Follana-Berná, G., & Palmer, M. (2018). Common octopus settled in human-altered Mediterranean coastal waters: from individual home-range to population dynamic. ICES Journal of Marine Science. http://doi.org/10.1093/icesjms/fsy014

Avgan, B., Zimmermann, F., Güntert, M., Arıkan, F., & Breitenmoser, U. (2014). The first density estimation of an isolated Eurasian lynx population in southwest Asia. Wildlife Biology, 20(4), 217–221. http://doi.org/10.2981/wlb.00025

Beausoleil, R. A., Clark, J. D., & Maletzke, B. T. (2016). A long-term evaluation of biopsy darts and DNA to estimate cougar density: An agency-citizen science collaboration. Wildlife Society Bulletin. http://doi.org/10.1002/wsb.675

Beaver, J. T., Harper, C. A., Muller, L., Basinger, P. S., Goode, M. J., & Van Manen, F. T. (2016). Current and Spatially Explicit Capture-recapture Analysis Methods for Infrared Triggered Camera Density Estimation of White-tailed Deer. Journal of the Southeastern Association of Fish and Wildlife Agencies, 3(March), 195–202.

Berl, J. L., Kellner, K. F., Flaherty, E. A., & Swihart, R. K. (2018). Spatial Variation in Density of White-footed Mice Along Edges in Fragmented Habitat. The American Midland Naturalist, 179(1), 38–50. http://doi.org/10.1674/0003-0031-179.1.38

Blanc, L., Marboutin, E., Gatti, S., & Gimenez, O. (2013). Abundance of rare and elusive species: Empirical investigation of closed versus spatially explicit capture-recapture models with lynx as a case study. Journal of Wildlife Management, 77(2), 372–378. http://doi.org/10.1002/jwmg.453

Broekhuis, F., & Gopalaswamy, A. M. (2016). Counting cats: spatially explicit population estimates of cheetah (Acinonyx jubatus) using unstructured sampling data. PLoS ONE, 11(5), e0153875. http://doi.org/10.1371/journal.pone.0153875

Chabanne, D. B. H., Pollock, K. H., Finn, H., & Bejder, L. (2017). Applying the Multistate Capture-recapture Robust Design to characterize metapopulation structure. Methods in Ecology and Evolution. http://doi.org/10.1111/2041-210X.12792

Christiansen, F., Bertulli, C. G., Rasmussen, M. H., & Lusseau, D. (2015). Estimating cumulative exposure of wildlife to non-lethal disturbance using spatially explicit capture-recapture models. Journal of Wildlife Management. http://doi.org/10.1002/jwmg.836

Clare, J. D. J., Anderson, E. M., & MacFarland, D. M. (2015). Predicting bobcat abundance at a landscape scale and evaluating occupancy as a density index in central Wisconsin. Journal of Wildlife Management, 79(3), 469–480. http://doi.org/10.1002/jwmg.844

Devens, C., Tshabalala, T., McManus, J., & Smuts, B. (2018). Counting the spots: The use of a spatially explicit capture-recapture technique and GPS data to estimate leopard (Panthera pardus) density in the Eastern and Western Cape, South Africa. African Journal of Ecology. http://doi.org/10.1111/aje.12512

Dou, H., Yang, H., Feng, L., Mou, P., Wang, T., & Ge, J. (2016). Estimating the Population Size and Genetic Diversity of Amur Tigers in Northeast China. PloS One, 11(4), e0154254. http://doi.org/10.1371/journal.pone.0154254

Evans, M. J., Rittenhouse, T. A. G., Hawley, J. E., & Rego, P. W. (2017). Black bear recolonization patterns in a human-dominated landscape vary based on housing: New insights from spatially explicit density models. Landscape and Urban Planning, 162, 13–24. http://doi.org/10.1016/J.LANDURBPLAN.2017.01.009

Fuller, A. K., Sutherland, C. S., Royle, J. A., & Hare, M. P. (2015). Estimating population density and connectivity of American mink using spatial capture-recapture. Ecological Applications, 26(4), 15–0315.1. http://doi.org/10.1890/15-0315.1

Goode, M. J., Beaver, J. T., Muller, L. I., Clark, J. D., Manen, F. T. van, Harper, C. A., & Basinger, P. S. (2014). Capture—recapture of white-tailed deer using DNA from fecal pellet groups. Wildlife Biology, 20(5), 270–278. http://doi.org/10.2981/wlb.00050

Granjon, A.-C., Rowney, C., Vigilant, L., & Langergraber, K. E. (2016). Evaluating genetic capture-recapture using a chimpanzee population of known size. The Journal of Wildlife Management. http://doi.org/10.1002/jwmg.21190

Gopalaswamy, A. M., Royle, J. A., Delampady, M., Nichols, J. D., Karanth, K. U., & Macdonald, D. W. (2012). Density estimation in tiger populations: combining information for strong inference. Ecology, 93(7), 1741–1751. http://doi.org/10.1890/11-2110.1

Jiménez, J., Higuero, R., Charre-Medellin, J. F., & Acevedo, P. (2017). Spatial mark-resight models to estimate feral pig population density. Hystrix, (September), 1–6. http://doi.org/10.4404/hystrix-28.2-12141

Jůnek, T., Jůnková Vymyslická, P., Hozdecká, K., & Hejcmanová, P. (2015). Application of Spatial and Closed Capture-Recapture Models on Known Population of the Western Derby Eland (Taurotragus derbianus derbianus) in Senegal. PLOS ONE, 10(9), e0136525. http://doi.org/10.1371/journal.pone.0136525

Karanth, K. U., Chundawat, R. S., Nichols, J. D., & Kumar, N. S. (2004). Estimation of tiger densities in the tropical dry forests of Panna, Central India, using photographic capture–recapture sampling. Animal Conservation, 7(3), 285–290. http://doi.org/10.1017/S1367943004001477

Kristensen, T. V., & Kovach, A. I. (2018). Spatially explicit abundance estimation of a rare habitat specialist: implications for SECR study design. Ecosphere, 9(May), e02217.10.1002. http://doi.org/10.1002/ecs2.2217

Linden, D. W., Fuller, A. K., Royle, J. A., & Hare, M. P. (2017). Examining the occupancy–density relationship for a low-density carnivore. Journal of Applied Ecology, 54(6), 2043–2052. http://doi.org/10.1111/1365-2664.12883

Linkie, M., Guillera-Arroita, G., Smith, J., & Rayan, D. M. (2010). Monitoring tigers with confidence. Integrative Zoology, 5(4), 342–350. http://doi.org/10.1111/j.1749-4877.2010.00215.x

Manning, J. A., & Goldberg, C. S. (2010). Estimating population size using capture-recapture encounter histories created from point-coordinate locations of animals. Methods in Ecology and Evolution, 1(4), 389–397. http://doi.org/10.1111/j.2041-210X.2010.00041.x

Majumder, A., Qureshi, Q., Sankar, K., & Kumar, A. (2017). Long-term monitoring of a Bengal tiger (Panthera tigris tigris) population in a human-dominated landscape of Central India. European Journal of Wildlife Research, 63(1), 17. http://doi.org/10.1007/s10344-016-1070-5

Morin, D. J., Waits, L. P., McNitt, D. C., & Kelly, M. J. (2018). Efficient single-survey estimation of carnivore density using fecal DNA and spatial capture-recapture: a bobcat case study. Population Ecology, 1–13. http://doi.org/10.1007/s10144-018-0606-9

Moqanaki, E. M., Jiménez, J., & López-Bao, J. V. (2018). Counting bears in the Iranian Caucasus : Remarkable mismatch between scientifically-sound population estimates and perceptions. Biological Conservation, 220(February), 182–191. http://doi.org/10.1016/j.biocon.2018.02.016

Muneza, A. B., Linden, D. W., Montgomery, R. A., Dickman, A. J., Roloff, G. J., Macdonald, D. W., & Fennessy, J. T. (2016). Examining disease prevalence for species of conservation concern using non-invasive spatial capture-recapture techniques. Journal of Applied Ecology. http://doi.org/10.1111/1365-2664.12796

Mollet, P., Kéry, M., Gardner, B., Pasinelli, G., & Royle, J. A. (2015). Estimating population size for capercaillie (Tetrao urogallus L.) with spatial capture-recapture models based on genotypes from one field sample. PLoS ONE, 10(6), 1–16. http://doi.org/10.1371/journal.pone.0129020

Morehouse, A. T., & Boyce, M. S. (2016). Grizzly bears without borders: Spatially explicit capture-recapture in southwestern Alberta. The Journal of Wildlife Management. http://doi.org/10.1002/jwmg.21104

Murphy, S. M., Cox, J. J., Augustine, B. C., Hast, J. T., Guthrie, J. M., Wright, J., … Plaxico, J. H. (2016). Characterizing recolonization by a reintroduced bear population using genetic spatial capture-recapture. The Journal of Wildlife Management, 1–18. http://doi.org/10.1002/jwmg.21144

O’Mahony, D. T., Powell, C., Power, J., Hanniffy, R., Marnell, F., Turner, P., & O’Reilly, C. (2017). Non-invasively determined multi-site variation in pine marten Martes martes density, a recovering carnivore in Europe. European Journal of Wildlife Research, 63(3), 48. http://doi.org/10.1007/s10344-017-1108-3

Pirotta, E., Thompson, P. M., Cheney, B., Donovan, C. R., & Lusseau, D. (2015). Estimating spatial, temporal and individual variability in dolphin cumulative exposure to boat traffic using spatially explicit capture-recapture methods. Animal Conservation, 18(1), 20–31. http://doi.org/10.1111/acv.12132

Pesenti, E., & Zimmermann, F. (2013). Density estimations of the Eurasian lynx (Lynx lynx) in the Swiss Alps. Journal of Mammalogy, 94(1), 73–81. http://doi.org/10.1644/11-MAMM-A-322.1

Potts, J. M., Buckland, S. T., Thomas, L., & Savage, A. (2016). Estimating Key Largo woodrat abundance using spatially explicit capture-recapture and trapping point transects. Wildlife Society Bulletin. http://doi.org/10.1002/wsb.651

Rich, L. N., Kelly, M. J., Sollmann, R., Noss, A. J., Maffei, L., Arispe, R. L., … Di Bitetti, M. S. (2014). Comparing capture–recapture, mark–resight, and spatial mark–resight models for estimating puma densities via camera traps. Journal of Mammalogy, 95(2), 382–391. http://doi.org/10.1644/13-MAMM-A-126

Rodgers, T. W., Giacalone, J., Heske, E. J., Janečka, J. E., Phillips, C. a, Schooley, R. L., & Rodgers, W. (2014). Comparison of noninvasive genetics and camera trapping for estimating population density of ocelots (Leopardus pardalis) on Barro Colorado Island, Panama. Tropical Conservation Science, 777(444), 690–705. Retrieved from www.tropicalconservationscience.org

Roffler, G. H., Waite, J. N., Flynn, R. W., & Larson, K. R. (2016). Estimation of wolf population density using spatial capture-recapture: refining methods for monitoring cryptic species. In Columbia Mountain Institute of Applied Ecology Predator-Prey Dynamics: From Theory to Management conference. PeerJ Inc. http://doi.org/10.1017/CBO9781107415324.004

Schmidt, B. R., Meier, A., Sutherland, C., & Royle, J. A. (2017). Spatial capture – recapture analysis of artificial cover board survey data reveals small scale spatial variation in slow-worm Anguis fragilis density. Royal Society Open Science, 4(9), 170374. https://doi.org/10.1098/rsos.170374

Seymour, A. S., Tarrant, M. R., Gerber, B. D., Sharp, A., Woollam, J., & Cox, R. (2017). Effects of El Niño on the population dynamics of the Malay civet east of the Wallace line. Journal of Zoology. http://doi.org/10.1111/jzo.12469

Sollmann, R., Gardner, B., Belant, J. L., Wilton, C. M., & Beringer, J. (2016). Habitat associations in a recolonizing , low- ­ density black bear population. Ecosphere, 7(August), 1–11. http://doi.org/10.1002/ecs2.1406

Stetz, J. B., Mitchell, M. S., & Kendall, K. C. (2018). Using Spatially-Explicit Capture-Recapture Models to Explain Variation in Seasonal Density Patterns of Sympatric Ursids. Ecography. http://doi.org/10.1111/ecog.03556

Rehnus, M., & Bollmann, K. (2016). Non-invasive genetic population density estimation of mountain hares (Lepus timidus) in the Alps: systematic or opportunistic sampling? European Journal of Wildlife Research. http://doi.org/10.1007/s10344-016-1053-6

Royle, J. A., Magoun, A. J., Gardner, B., Valkenburg, P., & Lowell, R. E. (2011). Density estimation in a wolverine population using spatial capture-recapture models. Journal of Wildlife Management, 75(3), 604–611. http://doi.org/10.1002/jwmg.79

Russell, R. E., Royle, J. A., Desimone, R., Schwartz, M. K., Edwards, V. L., Pilgrim, K. P., & McKelvey, K. S. (2012). Estimating abundance of mountain lions from unstructured spatial sampling. Journal of Wildlife Management, 76(8), 1551–1561. http://doi.org/10.1002/jwmg.412

Sarmento, P., Cruz, J., Eira, C., & Fonseca, C. (2014). A spatially explicit approach for estimating space use and density of common genets Portugal. Animal Biodiversity and Conservation, 37(1), 23–33. Retrieved from http://www.raco.cat/index.php/ABC/article/view/278388

Selvan, K. M., Lyngdoh, S., Habib, B., & Gopi, G. V. (2014). Population density and abundance of sympatric large carnivores in the lowland tropical evergreen forest of Indian Eastern Himalayas. Mammalian Biology - Zeitschrift Für Säugetierkunde, 79(4), 254–258. http://doi.org/10.1016/j.mambio.2014.03.002

Sharma, R. K., Jhala, Y., Qureshi, Q., Vattakaven, J., Gopal, R., & Nayak, K. (2010). Evaluating capture-recapture population and density estimation of tigers in a population with known parameters. Animal Conservation, 13(1), 94–103. http://doi.org/10.1111/j.1469-1795.2009.00305.x

Spehar, S. N., Loken, B., Rayadin, Y., & Royle, J. A. (2015). Comparing spatial capture-recapture modeling and nest count methods to estimate orangutan densities in the Wehea Forest, East Kalimantan, Indonesia. Biological Conservation, 191(February 2016), 185–193. http://doi.org/10.1016/j.biocon.2015.06.013

Sugimoto, T., Nagata, J., Aramilev, V. V., & McCullough, D. R. (2012). Population size estimation of Amur tigers in Russian Far East using noninvasive genetic samples. Journal of Mammalogy, 93(1), 93–101. http://doi.org/10.1644/10-MAMM-A-368.1

Tobler, M. W., & Powell, G. V. N. (2013). Estimating jaguar densities with camera traps: Problems with current designs and recommendations for future studies. Biological Conservation, 159, 109–118. http://doi.org/10.1016/j.biocon.2012.12.009

Trolle, M., & Kéry, M. (2003). Estimation of ocelot density in the Pantanal using capture-recapture analysis of camera-trapping data. Journal of Mammalogy, 84(2), 607–614. http://doi.org/10.1644/1545-1542(2003)084<0607:EOODIT>2.0.CO;2

Villela, D. A. M., Codeço, C. T., Figueiredo, F., Garcia, G. A., Maciel-de-Freitas, R., & Struchiner, C. J. (2015). A Bayesian hierarchical model for estimation of abundance and spatial density of Aedes aegypti. PLoS ONE, 10(4), e0123794. http://doi.org/10.1371/journal.pone.0123794

Villette, P., Krebs, C. J., & Jung, T. S. (2017). Evaluating camera traps as an alternative to live trapping for estimating the density of snowshoe hares (Lepus americanus) and red squirrels (Tamiasciurus hudsonicus). European Journal of Wildlife Research, 63(1), 7. http://doi.org/10.1007/s10344-016-1064-3

Waits, L. P., & Paetkau, D. (2005). Noninvasive Genetic Sampling Tools for Wildlife Biologists: a Review of Applications and Recommendations for Accurate Data Collection. Journal of Wildlife Management, 69(4), 1419–1433. http://doi.org/10.2193/0022-541X(2005)69[1419:NGSTFW]2.0.CO;2

Whittington, J., & Sawaya, M. A. (2015). A comparison of grizzly bear demographic parameters estimated from non-spatial and spatial open population capture-recapture models. PLoS ONE, 10(7), e0134446. http://doi.org/10.1371/journal.pone.0134446

Xiao, W., Feng, L., Mou, P. Miquelle, D. G., Hebblewhite, M., Goldberg, J. F., Robinson, H. S., Zhao, X., Zhou, B., Wang, T., Ge, J. (2016) Estimating abundance and density of Amur tigers along the Sino-Russian border http://dx.doi.org/10.1111/1749-4877.12210

Reports and other sources

Black Bear Population Size and Density in Apalachicola, Big Cypress, Eglin, Ocala/St. Johns, and Osceola Study Areas, Florida. link

Walker, Timothy A. (2016) Testing camera trap density estimates from the spatial capture model and calibrated capture rate indices against kangaroo rat (Dipodomys spp.) live trapping data. Master of science thesis link

[web] WILD8390 R code to simulate common data structures in R and perform MLE from simulated data

Smith, Jennifer B. 2018. Context Matters for Black Bears: Evaluating Spatially Explicit Density Estimators and Trade-Offs in Resource Selection. Michigan State University, ProQuest Dissertations Publishing. 10747191 link

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