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Cited by 74

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

HexSim: a modeling environment for ecology and conservation

Schumaker, Nathan H., Brookes, Allen·2018·Landscape Ecology
DOI 10.1007/s10980-017-0605-9
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  • Pathwalker and other recent agent-based approaches like HexSim and RangeShifter combine the spatially-explicit approach of resistance-based algorithms with the detail and flexibility given to simulating movement behaviour enabled by agent-based modelling.

    “Pathwalker, and other recent agent-based approaches like HexSim and RangeShifter40,41, combine the spatially-explicit approach of resistance-based algorithms with the detail and flexibility given to simulating movement behaviour enabled by agent-based modelling.”

    From Connectivity modelling in conservation science: a comparative evaluation (2022) · cites this paper as [40]

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Research works printed but not linked: 37

  1. Akcakaya HR, Root WT (2005) RAMAS GIS: linking landscape data with population viability analysis (version 5.0). Applied Biomathematics, Setaukey, NY
  2. Bancroft BA, Lawler JJ, Schumaker NH (2016) Weighing the relative potential impacts of climate change and land-use change on an endangered bird. Ecology and Evolution 6:4468–4477 · DOI
  3. Bocedi G, Palmer S, Pe’er G, Heikkinen RK, Matsinos YG, Watts K, Travis J (2014) RangeShifter: a platform for modelling spatial eco-evolutionary dynamics and species’ responses to environmental changes. Methods Ecol Evol 5:388–396 · DOI
  4. Bond ML, Bradley CM, Kiffner C, Morrison TA, Lee DE (2017) A multi-method approach to delineate and validate migratory corridors. Landscape Ecol 32:1705–1721 · DOI
  5. Briggs CJ, Vredenburg VT, Knapp RA, Rachowicz LJ (2005) Investigating the population-level effects of Chytridiomycosis: an emerging infectious disease of amphibians. Ecology 86:3149–3159 · DOI
  6. Calabrese JM, Fagan WF (2004) A comparison-shopper’s guide to connectivity metrics. Front Ecol Environ 2:529–536 · DOI · Paper page
  7. Carvalho CF (2014) Atropelamento de vertebrados, hotspots de atropelamentos e parâmetros associados, BR-050, trecho Uberlândia-Uberaba. Master thesis in Ecology and Conservation of Natural Resources—Universidade Federal de Uberlândia, Uberlândia, Minas Gerais
  8. Fordham DA, Shoemaker KT, Schumaker NH, Akçakaya HR, Clisby N, Brook BW (2014) How interactions between animal movement and landscape processes modify range dynamics and extinction risk. Biol Let 10:20140198 · DOI
  9. Fulford RS, Peterson MS, Grammer PO (2011) An ecological model of the habitat mosaic in estuarine nursery areas: part I—interaction of dispersal theory and habitat variability in describing juvenile fish distributions. Ecol Model 222:3202–3215 · DOI
  10. Heinrichs JA, Aldridge CL, O’Donnell M, Schumaker NH (2017) Using dynamic population simulations to extend resource selection analysis and prioritize habitat for conservation. Ecol Model 359:449–459 · DOI
  11. Heinrichs JA, Bender DJ, Gummer DL, Schumaker NH (2010) Assessing critical habitat: evaluating the relative contribution of habitats to population persistence. Biol Cons 143:2229–2237 · DOI
  12. Heinrichs JA, Bender DJ, Gummer DL, Schumaker NH (2015a) Effects of landscape and patch-level attributes on regional population persistence. J Nat Conserv 26:56–64 · DOI
  13. Heinrichs JA, Bender DJ, Schumaker NH (2016a) Habitat degradation and loss as key drivers of regional population extinction. Ecol Model 335:64–73 · DOI
  14. Heinrichs JA, Lawler JJ, Schumaker NH (2016b) Intrinsic and extrinsic drivers of source-sink dynamics. Ecol Evol 6:892–904 · DOI
  15. Heinrichs JA, Lawler JJ, Schumaker NH, Wilsey C, Bender DJ (2015b) Divergence in sink contributions to population persistence. Conserv Biol 29:1674–1683 · DOI
  16. Huber PR, Greco SE, Schumaker NH, Hobbs J (2014) A priori assessment of reintroduction strategies for a native ungulate: using HexSim to guide release site selection. Landscape Ecol 29:689–701 · DOI
  17. Landguth EL, Cushman SA (2009) CDPOP: a spatially explicit cost distance population genetics program. Mol Ecol Resour 10:156–161 · DOI
  18. Leslie PH (1945) On the use of matrices in certain population mathematics. Biometrika 33:183–212 · DOI
  19. Lurgi M, Brook BW, Saltré F, Fordham DA (2015) Modelling range dynamics under global change: which framework and why? Methods Ecol Evol 6:247–256 · DOI
  20. Marcot BG, Raphael MG, Schumaker NH, Galleher B (2013) How big and how close? Habitat patch size and spacing to conserve a threatened species. Nat Resour Model 26:194–214 · DOI
  21. Marcot BG, Singleton PH, Schumaker NH (2015) Analysis of sensitivity and uncertainty in an individual-based model of a threatened wildlife species. Nat Resour Model 28:37–58 · DOI
  22. Marrotte RR, Bowman J, Brown MG, Cordes C, Morris KY, Prentice MB, Wilson PJ (2017) Multi-species genetic connectivity in a terrestrial habitat network. Mov Ecol 5:21 · DOI · Paper page
  23. McClure ML, Hansen AJ, Inman RM (2016) Connecting models to movements: testing connectivity model predictions against empirical migration and dispersal data. Landscape Ecol 31:1–14 · DOI · Paper page
  24. McRae BH, Beier P (2007) Circuit theory predicts gene flow in plant and animal populations. PNAS 104:19885–19890 · DOI · Paper page
  25. Minor ES, Urban DL (2007) Graph theory as a proxy for spatially explicit population models in conservation planning. Ecol Appl 17:1771–1782 · DOI
  26. Nogeire TM, Lawler JJ, Schumaker NH, Cypher BL, Phillips SE (2015) Land use as a driver of patterns of rodenticide exposure in modeled kit fox populations. PLoS ONE 10(8):e0133351. · DOI
  27. Pacioni C, Kennedy MS, Berry O, Stephens D, Schumaker NH (2018) Spatially-explicit model for assessing wild dog control strategies in Western Australia. Ecol Model 368:246–256 · DOI
  28. Pomara LY, Ledee OE, Martin KJ, Zuckerberg B (2014) Demographic consequences of climate change and land cover help explain a history of extirpations and range contraction in a declining snake species. Glob Change Biol 20:2087–2099 · DOI
  29. Pulliam RH (1988) Sources, sinks, and population regulation. Am Nat 132(132):652–661 · DOI
  30. Schiffers KH, Travis J (2014) ALADYN—a spatially explicit, allelic model for simulating adaptive dynamics. Ecography 37:1288–1291 · DOI
  31. Schumaker NH, Brookes A, Dunk JR, Woodbridge B, Heinrichs J, Lawler JJ, Carroll C, LaPlante D (2014) Mapping sources, sinks, and connectivity using a simulation model of northern spotted owls. Landscape Ecol 29:579–592 · DOI
  32. Stronen AV, Schumaker NH, Forbes GJ, Paquet PC, Brook RK (2012) Landscape resistance to dispersal: simulating long-term effects of human disturbance on a small and isolated wolf population in southwestern Manitoba, Canada. Environ Monit Assess 184:6923–6934 · DOI
  33. Tuma MW, Millington C, Schumaker NH, Burnett P (2016) Modeling Agassiz’s desert tortoise population response to anthropogenic stressors. J Wildl Manag 80:414–429 · DOI
  34. White LA, Forester JD, Craft ME (2017) Dynamic, spatial models of parasite transmission in wildlife: their structure, applications and remaining challenges. J Anim Ecol. https://doi.org/10.1111/1365-2656.12761 · DOI
  35. Wiens JD, Schumaker NH, Inman RD, Esque TC, Longshore KM, Nussear KE (2017) Spatial demographic models to inform conservation planning of Golden Eagles in renewable energy landscapes. J Raptor Res 51:234–257 · DOI
  36. Wilsey CB, Lawler JJ, Cimprich D, Schumaker NH (2014) Dependence of the endangered black-capped vireo on sustained cowbird management. Conserv Biol 28:561–571 · DOI
  37. Zang H, Gorelick SM (2014) Coupled impacts of sea-level rise and tidal marsh restoration on endangered California clapper rail. Biol Cons 172:89–100 · DOI

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Metadata

Authors
Schumaker, N. H., & Brookes, A.
ORCID
Schumaker, Nathan H.
Venue
Landscape Ecology
Publisher
Springer Science and Business Media LLC
Published
2018-01-06
Volume
33
Issue
2
Pages
197-211
ISSN
  • 0921-2973
  • 1572-9761
DOI
10.1007/s10980-017-0605-9
Cited by
74
References
1
Language
en
Licence
www.springer.com/tdm (unspecified)

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