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Cited by 31

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Applying fire connectivity and centrality measures to mitigate the cheatgrass-fire cycle in the arid West, USA

Gray, Miranda E., Dickson, Brett G.·2016·Landscape Ecology
DOI 10.1007/s10980-016-0353-2
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Crossref · 10.1007/s10980-016-0353-2

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5 of 5 references verified0 citation errors · 0 not checkable

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  • Resulting metrics and maps of potential fire connectivity may be used to target areas on the landscape where fuel breaks could most effectively hinder fire movement through wildlife habitat, and disrupt the invasive grass-fire cycle.

    “Resulting metrics (e.g., current density and centrality) and maps of potential fire connectivity may be used to target areas on the landscape where fuel breaks could most effectively hinder fire movement through wildlife habitat (Welch et al. 2015), and disrupt the invasive grass-fire cycle (Gray & Dickson 2016).”

    From Circuit‐theory applications to connectivity science and conservation (2019) · cites this paper as Gray & Dickson 2016

Citations

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Research works printed but not linked: 35

  1. Abatzoglou JT, Kolden CA (2011) Climate change in western US deserts: potential for increased wildfire and invasive annual grasses. Rangel Ecol Manag 64:471–478 · DOI
  2. Agee JK, Bahro B, Finney MA, Omi PN, Sapsis DB, Skinner CN, Van Wagtendonk JW, Weatherspoon CP (2000) The use of shaded fuelbreaks in landscape fire management. For Ecol Manag 127:55–66 · DOI
  3. Ager A, Vaillant N, McMahan A (2013) Restoration of fire in managed forests: a model to prioritize landscapes and analyze tradeoffs. Ecosphere 4:1–19. doi: 10.1890/es13-00007.1 · DOI
  4. Ager AA, Vaillant NM, Finney MA (2011) Integrating fire behavior models and geospatial analysis for wildland fire risk assessment and fuel management planning. J Combust. doi: 10.1155/2011/572452 · DOI
  5. Bodin Ö, Saura S (2010) Ranking individual habitat patches as connectivity providers: integrating network analysis and patch removal experiments. Ecol Modell 221:2393–2405. doi: 10.1016/j.ecolmodel.2010.06.017 · DOI
  6. Bradley BA (2009) Regional analysis of the impacts of climate change on cheatgrass invasion shows potential risk and opportunity. Glob Chang Biol 15:196–208 · DOI
  7. Bradley BA, Mustard JF (2005) Identifying land cover variability distinct from land cover change: cheatgrass in the Great Basin. Remote Sens Environ 94:204–213. doi: 10.1016/j.rse.2004.08.016 · DOI
  8. Brandes U, Fleischer D (2005) Centrality measures based on current flow. In: Proceedings of the 22nd symposium on theoretical aspects of computer science. Springer, Berlin, 533–544 · DOI
  9. Brooks ML, Chambers JC (2011) Fire and invasive plants special feature: resistance to invasion and resilience to fire in desert shrublands of North America. Rangel Ecol Manag 64:431–438 · DOI
  10. Carroll C, McRae BH, Brookes A (2012) Use of linkage mapping and centrality analysis across habitat gradients to conserve connectivity of Gray Wolf populations in western North America. Conserv Biol 26:78–87 · DOI
  11. Clinton NE, Potter C, Crabtree B, Genovese V, Gross P, Gong P (2010) Remote sensing-based time-series analysis of cheatgrass (Bromus tectorum L.) phenology. J Environ Qual 39:955–963. doi: 10.2134/jeq2009.0158 · DOI
  12. Collins BM, Stephens SL, Moghaddas JJ, Battles J (2010) Challenges and approaches in planning fuel treatments across fire-excluded forested landscapes. J For 108:24–31
  13. Compagnoni A, Adler PB (2014) Warming, competition, and Bromus tectorum population growth across an elevation gradient. Ecosphere 5:1–34 · DOI
  14. D’Antonio CM, Vitousek PM (1992) Biological invasions by exotic grasses, the grass/fire cycle, and global change. Annu Rev Ecol Syst 23:63–87 · DOI · Paper page
  15. Dickson BG, Roemer GW, McRae BH, Rundall JM (2013) Models of regional habitat quality and connectivity for Pumas (Puma concolor) in the southwestern United States. PLoS ONE 8:e81898. doi: 10.1371/journal.pone.0081898 · DOI
  16. Finney MA (2002) Fire growth using minimum travel time methods. Can J For Res 32:1420–1424 · DOI
  17. Fulé PZ, Waltz AEM, Covington WW, Heinlein TA (2001) Measuring forest restoration effectiveness in reducing hazardous fuels. J For 99:24–29
  18. Gray ME, Dickson BG (2015) A new model of landscape-scale fire connectivity applied to resource and fire management in the Sonoran Desert, USA. Ecol Appl 25:1099–1113. doi: 10.1890/14-0367.1 · DOI · Paper page
  19. Gray ME, Dickson BG, Zachmann LJ (2014) Modeling and mapping dynamic variability in large fire probability in the lower Sonoran Desert of southwestern Arizona. Int J Wildl Fire 23:1108–1118 · DOI
  20. Hosmer DW, Lemeshow S (2000) Applied logistic regression, 2nd edn. John Wiley and Sons, New York · DOI · Paper page
  21. Miller JD, Safford HD, Crimmins M, Thode AE (2008) Quantitative evidence for increasing forest fire severity in the Sierra Nevada and Southern Cascade Mountains, California and Nevada, USA. Ecosystems 12:16–32. doi: 10.1007/s10021-008-9201-9 · DOI · Paper page
  22. Moghaddas JJ, Collins BM, Menning K, Moghaddas EE, Stephens SL (2010) Fuel treatment effects on modeled landscape-level fire behavior in the northern Sierra Nevada. Can J For Res 40:1751–1765. doi: 10.1139/X10-118 · DOI
  23. Newman MEJ (2005) A measure of betweenness centrality based on random walks. Soc Netw 27:39–54. doi: 10.1016/j.socnet.2004.11.009 · DOI
  24. Parisien M-A, Junor DR, Kafka VG (2007) Comparing landscape-based decision rules for placement of fuel treatments in the boreal mixedwood of western Canada. Int J Wildl Fire 16:664. doi: 10.1071/WF06060 · DOI
  25. Pellant M (1989) The cheatgrass-wildfire cycle-are there any solutions? Symposium on cheatgrass invasion, shrub die-off, and other aspects of shrub biology and management, 11–18
  26. Pellant M (1992) History and applications of the intermountain greenstripping program. Symposium on ecology, management, and restoration of intermountain annual rangelands. Boise, ID
  27. Pontius RG, Parmentier B (2014) Recommendations for using the relative operating characteristic (ROC). Landsc Ecol 29:367–382. doi: 10.1007/s10980-013-9984-8 · DOI
  28. Scott JH, Burgan RE (2005) Standard fire behavior fuel models: a comprehensive set for use with Rothermel’ s surface fire spread model · DOI · Paper page
  29. Sing T, Sander O, Beerenwinkel N, Lengauer T (2005) ROCR: visualizing classifier performance in R. Bioinformatics 21:3940–3941 · DOI
  30. Sisk TD, Albano C, Aumack E, Bernstein EJ, Crews TE, Dickson BG, Fluck S, McMaster M, Rogers AS, Rosenstock SS, Schlosberg D (2010) Integrating restoration and conservation objectives at the landscape scale: The Kane and Two Mile Ranch project. The Colorado Plateau IV: Shaping Conservation Through Science and Management. University of Arizona Press, Tucson, AZ, p 347
  31. Stratton RD (2006) Guidance on spatial wildland fire analysis: models, tools, and techniques. Gen. Tech. Rep. RMRS-GTR-183. Fort Collins, CO · DOI
  32. Theobald DM, Reed SE, Fields K, Soulé M (2012) Connecting natural landscapes using a landscape permeability model to prioritize conservation activities in the United States. Conserv Lett 5:123–133. doi: 10.1111/j.1755-263X.2011.00218.x · DOI
  33. Wei Y, Rideout D, Kirsch A (2008) An optimization model for locating fuel treatments across a landscape to reduce expected fire losses. Can J For Res 38:868–877. doi: 10.1139/X07-162 · DOI
  34. Westerling AL, Hidalgo HG, Cayan DR, Swetnam TW (2006) Warming and earlier spring increase Western US forest wildfire activity. Science 313:940–944 · DOI · Paper page
  35. Whisenant SG (1989) Changing fire frequencies on Idaho’s Snake River Plains: Ecological and management implications. In: McArthur, Romney EM, Smith SD, Tueller PT (eds) Symposium on Cheatgrass Invasion, Shrub Die-Off, and Other Aspects of Shrub Biology and Management. Ogden, UT, 4–10

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Metadata

Authors
Gray, M. E., & Dickson, B. G.
Venue
Landscape Ecology
Publisher
Springer Science and Business Media LLC
Published
2016-03-14
Volume
31
Issue
8
Pages
1681-1696
ISSN
  • 0921-2973
  • 1572-9761
DOI
10.1007/s10980-016-0353-2
Cited by
31
References
5
Language
en
Licence
www.springer.com/tdm (tdm)
Funders
  • Arizona Game and Fish Department (AGFD14-061215)
  • Grand Canyon Trust
  • Wilburforce Foundation

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