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Landscape Ecology

, Volume 33, Issue 3, pp 491–511 | Cite as

Integrating airborne lidar and satellite imagery to model habitat connectivity dynamics for spatial conservation prioritization

  • Xuan Guo
  • Nicholas C. Coops
  • Sarah E. Gergel
  • Christopher W. Bater
  • Scott E. Nielsen
  • J. John Stadt
  • Mark Drever
Research Article

Abstract

Context

The application of regional-level airborne lidar (light detection and ranging) data to characterize habitat patches and model habitat connectivity over large landscapes has not been well explored. Maintaining a connected network of habitat in the presence of anthropogenic disturbances is essential for regional-level conservation planning and the maintenance of biodiversity values.

Objectives

We quantified variation in connectivity following simulated changes in land cover and contrasted outcomes when different conservation priorities were emphasized.

Methods

First, we defined habitat patches using vegetation structural attributes identified via lidar. Second, habitat networks were constructed for different forest types and assessed using network connectivity metrics. And finally, land cover change scenarios were simulated using a series of habitat patch removals, representing the impact of implementing different spatial prioritization schemes.

Results

Networks for different forest structure types produced very different patch distributions. Conservation scenarios based on different schemes led to contrasting changes during land cover change simulations: the scheme prioritizing only habitat area resulted in immediate near-term losses in connectivity, whereas the scheme considering both habitat area and their spatial configurations maintained the overall connectivity most effectively. Adding climate constraints did not diminish or improve overall connectivity.

Conclusions

Both habitat area and habitat configuration should be considered in dynamic modeling of habitat connectivity under changing landscapes. This research provides a framework for integrating forest structure and cover attributes obtained from remote sensing data into network connectivity modeling, and may serve as a prototype for multi-criteria forest management and conservation planning.

Keywords

Vegetation structure Biodiversity conservation Network analysis Inter-patch connectivity Climate stability Alberta Canada 

Notes

Acknowledgements

This work was funded by the Government of Alberta (GOA: 16GRFMB08) and a Natural Sciences and Engineering Research Council (NSERC) (RGPIN 311926-13 and 6563) Discovery grant to N. Coops. The ALS data were provided by Alberta Agriculture and Forestry.

References

  1. Adriaensen F, Chardon JP, De Blust G, Swinnen E, Villalba S, Gulinck H, Matthysen E (2003) The application of ‘least-cost’modelling as a functional landscape model. Landsc Urban Plan 64:233–247CrossRefGoogle Scholar
  2. Aebischer NJ, Robertson PA, Kenward RE (1993) Compositional analysis of habitat use from animal radio-tracking data. Ecology 74:1313–1325CrossRefGoogle Scholar
  3. Albert CH, Rayfield B, Dumitru M, Gonzalez A (2017) Applying network theory to prioritize multi-species habitat networks that are robust to climate and land-use change. Conserv Biol.  https://doi.org/10.1111/cobi.12943 PubMedGoogle Scholar
  4. Alberta Agriculture and Forestry (2014) Sustainable forest management—current facts & statistics. Government of Alberta Publication No. I/666. http://www1.agric.gov.ab.ca/$department/deptdocs.nsf/all/formain15744/$file/GeneralBoundary-CurrentFactsAndStatistics-2011.pdf?OpenElement. Accessed 05 May 2017
  5. Alberta Sustainable Resource Development (2006). Alberta Forest Management Planning Standard. Forest Management Branch, Alberta Sustainable Resource Development, Government of Alberta. http://www1.agric.gov.ab.ca/$department/deptdocs.nsf/all/formain15749/$FILE/ForestManagementPlanningStandard-2006.pdf. Accessed 14 June 2017
  6. Apps CD, McLellan BN, Kinley TA, Flaa JP (2001) Scale-dependent habitat selection by mountain caribou, Columbia Mountains, British Columbia. J Wildl Manag 65:65–77CrossRefGoogle Scholar
  7. Araújo MB, Cabeza M, Thuiller W, Hannah L, Williams PH (2004) Would climate change drive species out of reserves? An assessment of existing reserve-selection methods. Glob Chang Biol 10:1618–1626CrossRefGoogle Scholar
  8. Arora VK, Scinocca JF, Boer GJ, Christian JR, Denman KL, Flato GM, Kharin VV, Lee WG, Merryfield WJ (2011) Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases. Geophys Res Lett.  https://doi.org/10.1029/2010GL046270 Google Scholar
  9. Asner GP, Hughes RF, Mascaro J, Uowolo AL, Knapp DE, Jacobson J, Kennedy-Bowdoin T, Clark JK (2011) High-resolution carbon mapping on the million-hectare Island of Hawaii. Front Ecol Environ 9:434–439CrossRefGoogle Scholar
  10. Badry MJ, Proulx G, Woodward PM (1997) Home-range and habitat use by fishers translocated to the aspen parkland of Alberta. Martes: taxonomy, ecology, techniques, and management. Provincial Museum of Alberta, Edmont, pp 233–251Google Scholar
  11. Bailey S (2007) Increasing connectivity in fragmented landscapes: an investigation of evidence for biodiversity gain in woodlands. For Ecol Manag 238:7–23CrossRefGoogle Scholar
  12. Beckingham, J, Corns, IGW, Archibald, JH (1996) Field guide to ecosites of west-central Alberta. Special report 9. Canadian Forest Service. Northwest Region. Edmonton, ABGoogle Scholar
  13. Beier P, Spencer W, Baldwin RF, McRAE B (2011) Toward best practices for developing regional connectivity maps. Conserv Biol 25:879–892CrossRefPubMedGoogle Scholar
  14. Bergen KM, Goetz SJ, Dubayah RO, Henebry GM, Hunsaker CT, Imhoff ML, Nelson RF, Parker GG, Radeloff VC (2009) Remote sensing of vegetation 3-D structure for biodiversity and habitat: review and implications for lidar and radar spaceborne missions. J Geophys Res Biogeosci.  https://doi.org/10.1029/2008JG000883 Google Scholar
  15. Bergsten A, Bodin Ö, Ecke F (2013) Protected areas in a landscape dominated by logging—a connectivity analysis that integrates varying protection levels with competition–colonization tradeoffs. Biol Conserv 160:279–288CrossRefGoogle Scholar
  16. Blazquez-Cabrera S, Bodin Ö, Saura S (2014) Indicators of the impacts of habitat loss on connectivity and related conservation priorities: do they change when habitat patches are defined at different scales? Ecol Indic 45:704–716CrossRefGoogle Scholar
  17. Bodin Ö (2009) Prioritizing habitat patches for conservation in fragmented landscapes/townscapes using network-based models and analyses. Sustain Dev Plan IV 1:109–118Google Scholar
  18. Bodin Ö, Saura S (2010) Ranking individual habitat patches as connectivity providers: integrating network analysis and patch removal experiments. Ecol Modell 221:2393–2405CrossRefGoogle Scholar
  19. Broquet T, Johnson CA, Petit E, Thompson I, Burel F, Fryxell JM (2006) Dispersal and genetic structure in the American marten, Martes americana. Mol Ecol 15:1689–1697CrossRefPubMedGoogle Scholar
  20. Burkett V, Kusler J (2000) Climate change: potential impacts and interactions in wetlands of the United States. J Am Water Resour Assoc 36:313–320CrossRefGoogle Scholar
  21. Calabrese JM, Fagan WF (2004) A comparison-shopper’s guide to connectivity metrics. Front Ecol Environ 2:529–536CrossRefGoogle Scholar
  22. Carroll C, Roberts DR, Michalak JL, Lawler JL, Nielsen SE, Stralberg D, Hamann A, Mcrae BH, Wang T (2017) Scale-dependent complementarity of climatic velocity and environmental diversity for identifying priority areas for conservation under climate change. Glob Chang Biol 23:4508–4520CrossRefPubMedGoogle Scholar
  23. Castilla G, Hird J, Hall RJ, Schieck J, McDermid GJ (2014) Completion and updating of a landsat-based land cover polygon layer for Alberta, Canada. Can J Remote Sens 40:92–109Google Scholar
  24. CBD Secretariat (2010) The strategic plan for biodiversity 2011-2020 and the aichi biodiversity targets. Document UNEP/CBD/COP/DEC/X/2. Secretariat of the Convention on Biological Diversity, Nagoya, JapanGoogle Scholar
  25. Coops NC, Tompaski P, Nijland W, Rickbeil GJ, Nielsen SE, Bater CW, Stadt JJ (2016) A forest structure habitat index based on airborne laser scanning data. Ecol Indic 31:346–357CrossRefGoogle Scholar
  26. Corns IGW, Annas RM (1986) Field guide to forest ecosystems of west-central Alberta. Northern Forestry Center, Canadian Forestry Service, Edmonton, p 251Google Scholar
  27. Culbert PD, Radeloff VC, Flather CH, Kellndorfer JM, Rittenhouse CD, Pidgeon AM (2013) The influence of vertical and horizontal habitat structure on nationwide patterns of avian biodiversity. Auk 130:656–665CrossRefGoogle Scholar
  28. Cushman SA (2006) Effects of habitat loss and fragmentation on amphibians: a review and prospectus. Biol Conserv 128:231–240CrossRefGoogle Scholar
  29. Daly C, Halbleib M, Smith JI, Gibson WP, Doggett MK, Taylor GH, Curtis J, Pasteris PP (2008) Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. Int J Climatol 28:2031–2064CrossRefGoogle Scholar
  30. Dilts TE, Weisberg PJ, Leitner P, Matocq MD, Inman RD, Nussear KE, Esque TC (2016) Multiscale connectivity and graph theory highlight critical areas for conservation under climate change. Ecol Appl 26:1223–1237CrossRefGoogle Scholar
  31. Dubayah RO, Drake JB (2000) Lidar remote sensing for forestry. J For 98:44–46Google Scholar
  32. Erwin KL (2009) Wetlands and global climate change: the role of wetland restoration in a changing world. Wetl Ecol Manag 17:71CrossRefGoogle Scholar
  33. Fahrig L (2013) Rethinking patch size and isolation effects: the habitat amount hypothesis. J Biogeogr 40:1649–1663CrossRefGoogle Scholar
  34. Falkowski MJ, Evans JS, Martinuzzi S, Gessler PE, Hudak AT (2009) Characterizing forest succession with lidar data: an evaluation for the Inland Northwest, USA. Remote Sens Environ 113:946–956CrossRefGoogle Scholar
  35. Forman RTT (1995) Some general principles of landscape and regional ecology. Landscape Ecol 10:133–142CrossRefGoogle Scholar
  36. García-Feced C, Saura S, Elena-Rosselló R (2011) Improving landscape connectivity in forest districts: a two-stage process for prioritizing agricultural patches for reforestation. For Ecol Manag 261:154–161CrossRefGoogle Scholar
  37. Gatziolis D, Andersen H-E (2008) A guide to LIDAR data acquisition and processing for the forests of the Pacific Northwest. General Technical Report, PNW-GTR-768Google Scholar
  38. Gobeil J, Villard M (2002) Permeability of three boreal forest landscape types to bird movements as determined from experimental translocations. Oikos 98:447–458CrossRefGoogle Scholar
  39. Goodwin NR, Coops NC, Culvenor DS (2006) Assessment of forest structure with airborne LiDAR and the effects of platform altitude. Remote Sens Environ 103:140–152CrossRefGoogle Scholar
  40. Graf RF, Mathys L, Bollmann K (2009) Habitat assessment for forest dwelling species using LiDAR remote sensing: Capercaillie in the Alps. For Ecol Manag 257:160–167CrossRefGoogle Scholar
  41. Grelle CEV (2003) Forest structure and vertical stratification of small mammals in a secondary Atlantic forest, southeastern Brazil. Stud Neotrop Fauna Environ 38:81–85CrossRefGoogle Scholar
  42. Guo X, Coops NC, Tompalski P, Nielsen SE, Bater CW, Stadt JJ (2017) Regional mapping of vegetation structure for biodiversity monitoring using airborne lidar data. Ecol Inform 38:50–61CrossRefGoogle Scholar
  43. Hansen MJ, Franklin SE, Woudsma CG, Peterson M (2001) Caribou habitat mapping and fragmentation analysis using Landsat MSS, TM, and GIS data in the North Columbia Mountains, British Columbia, Canada. Remote Sens Environ 77:50–65CrossRefGoogle Scholar
  44. Hansen AJ, Phillips LB, Dubayah R, Goetz S, Hofton M (2014) Regional-scale application of lidar: variation in forest canopy structure across the southeastern US. For Ecol Manage 329:214–226CrossRefGoogle Scholar
  45. Heller NE, Zavaleta ES (2009) Biodiversity management in the face of climate change: a review of 22 years of recommendations. Biol Conserv 142:14–32CrossRefGoogle Scholar
  46. Herrault PA, Larrieu L, Cordier S, Gimmi U, Lachat T, Ouin A, Sarthou JP, Sheeren D (2016) Combined effects of area, connectivity, history and structural heterogeneity of woodlands on the species richness of hoverflies (Diptera: Syrphidae). Landscape Ecol 31:877–893CrossRefGoogle Scholar
  47. Hodgson JA, Thomas CD, Wintle BA, Moilanen A (2009) Climate change, connectivity and conservation decision making: back to basics. J Appl Ecol 46:964–969CrossRefGoogle Scholar
  48. Hunter ML Jr (1993) Natural fire regimes as spatial models for managing boreal forests. Biol Conserv 65:115–120CrossRefGoogle Scholar
  49. Iwamura T, Wilson KA, Venter O, Possingham HP (2010) A climatic stability approach to prioritizing global conservation investments. PLoS ONE 5:e15103CrossRefPubMedPubMedCentralGoogle Scholar
  50. Jackson ND, Fahrig L (2016) Habitat amount, not habitat configuration, best predicts population genetic structure in fragmented landscapes. Landscape Ecol 31:951–968CrossRefGoogle Scholar
  51. Joppa LN, Pfaff A (2009) High and far: biases in the location of protected areas. PLoS ONE 4:e8273CrossRefPubMedPubMedCentralGoogle Scholar
  52. Kelly EN, Schindler DW, Hodson PV, Short JW, Radmanovich R, Nielsen CC (2010) Oil sands development contributes elements toxic at low concentrations to the Athabasca River and its tributaries. Proc Natl Acad Sci USA 107:16178–16183CrossRefPubMedPubMedCentralGoogle Scholar
  53. King AW, With KA (2002) Dispersal success on spatially structured landscapes: when do spatial pattern and dispersal behavior really matter? Ecol Modell 147:23–39CrossRefGoogle Scholar
  54. Latham ADM, Latham MC, McCutchen NA, Boutin S (2011) Invading white-tailed deer change wolf–caribou dynamics in northeastern Alberta. J Wildl Manag 75:204–212CrossRefGoogle Scholar
  55. Lefsky MA, Cohen WB, Parker GG, Harding DJ (2002) Lidar remote sensing for ecosystem studies. Bioscience 52:19–30CrossRefGoogle Scholar
  56. Lim K, Treitz P, Wulder M, St-Onge B, Flood M (2003) LiDAR remote sensing of forest structure. Prog Phys Geogr 27:88–106CrossRefGoogle Scholar
  57. Lindenmayer DB, Margules CR, Botkin DB (2000) Indicators of biodiversity for ecologically sustainable forest management. Conserv Biol 14:941–950CrossRefGoogle Scholar
  58. Linke J, Franklin SE, Huettmann F, Stenhouse G (2005) Seismic cutlines, changing landscape metrics and grizzly bear landscape use in Alberta. Landscape Ecol 20:811–826CrossRefGoogle Scholar
  59. Liu J, Linderman M, Ouyang Z, An L, Yang J, Zhang H (2001) Ecological degradation in protected areas: the case of Wolong Nature Reserve for giant pandas. Science 292:98–101CrossRefPubMedGoogle Scholar
  60. Maciejewski K, Cumming GS (2016) Multi-scale network analysis shows scale-dependency of significance of individual protected areas for connectivity. Landscape Ecol 31:761–774CrossRefGoogle Scholar
  61. Marchese C (2015) Biodiversity hotspots: a shortcut for a more complicated concept. Glob Ecol Biogeogr 3:297–309Google Scholar
  62. Mathys AS, Coops NC, Waring RH (2017) An ecoregion assessment of projected tree species vulnerabilities in western North America through the 21st century. Glob Change Biol 23:920–932CrossRefGoogle Scholar
  63. McCleary K, Mowat G (2002) Using forest structural diversity to inventory habitat diversity of forest-dwelling wildlife in the West Kootenay region of British Columbia. BC J Ecosyst Manag 2:1–13Google Scholar
  64. McLean KA, Trainor AM, Asner GP, Crofoot MC, Hopkins ME, Campbell CJ, Martin RE, Knapp DE, Jansen PA (2016) Movement patterns of three arboreal primates in a Neotropical moist forest explained by LiDAR-estimated canopy structure. Landscape Ecol 31:1849–1862CrossRefGoogle Scholar
  65. Metzger J-P, Décamps H (1997) The structural connectivity threshold: an hypothesis in conservation biology at the landscape scale. Acta Oecol 18:1–12CrossRefGoogle Scholar
  66. Minor ES, Urban DL (2007) Graph theory as a proxy for spatially explicit population models in conservation planning. Ecol Appl 17:1771–1782CrossRefPubMedGoogle Scholar
  67. Moilanen A, Wilson KA, Possingham H (2009) Spatial conservation prioritization: quantitative methods and computational tools. Oxford University Press, Oxford, pp 1–304Google Scholar
  68. Morsdorf F, Mårell A, Koetz B, Cassagne N, Pimont F, Rigolot E, Allgöwer B (2010) Discrimination of vegetation strata in a multi-layered Mediterranean forest ecosystem using height and intensity information derived from airborne laser scanning. Remote Sens Environ 114:1403–1415CrossRefGoogle Scholar
  69. Mortelliti A, Fagiani S, Battisti C, Capizzi D, Boitani L (2010) Independent effects of habitat loss, habitat fragmentation and structural connectivity on forest-dependent birds. Divers Distrib 16:941–951CrossRefGoogle Scholar
  70. Mysterud A, Larsen PK, Ims RA, Østbye E (1999) Habitat selection by roe deer and sheep: does habitat ranking reflect resource availability? Can J Zool 77:776–783CrossRefGoogle Scholar
  71. Natural Regions Committee (2006) Natural regions and subregions of Alberta. Compiled by DJ Downing and WW Pettapiece. Government of Alberta, Pub. No. T/852Google Scholar
  72. Nijland W, Coops NC, Macdonald SE, Nielsen SE, Bater CW, Stadt JJ (2015) Comparing patterns in forest stand structure following variable harvests using airborne laser scanning data. For Ecol Manag 354:272–280CrossRefGoogle Scholar
  73. Noss RF (1999) Assessing and monitoring forest biodiversity: a suggested framework and indicators. For Ecol Manag 115:135–146CrossRefGoogle Scholar
  74. Pascual-Hortal L, Saura S (2006) Comparison and development of new graph-based landscape connectivity indices: towards the priorization of habitat patches and corridors for conservation. Landscape Ecol 21:959–967CrossRefGoogle Scholar
  75. R Core Team (2012) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0Google Scholar
  76. Reutebuch SE, Andersen HE, McGaughey JH (2005) Light detection and ranging (LiDAR): an emerging tool for multiple resource inventory. J For 103:286–292Google Scholar
  77. Rosenvald R, Lohmus A (2008) For what, when, and where is green-tree retention better than clear-cutting? A review of the biodiversity aspects. For Ecol Manag 255:1–15CrossRefGoogle Scholar
  78. Rothley KD, Rae C (2005) Working backwards to move forwards: graph-based connectivity metrics for reserve network selection. Environ Model Assess 10:107–113CrossRefGoogle Scholar
  79. Rubio L, Bodin Ö, Brotons L, Saura S (2015) Connectivity conservation priorities for individual patches evaluated in the present landscape: how durable and effective are they in the long term? Ecography 38:782–791CrossRefGoogle Scholar
  80. Rueness EK, Stenseth NC, O’donoghue M, Boutin S, Ellegren H, Jakobsen KS (2003) Ecological and genetic spatial structuring in the Canadian lynx. Nature 425:69–72CrossRefPubMedGoogle Scholar
  81. Saura S, Rubio L (2010) A common currency for the different ways in which patches and links can contribute to habitat availability and connectivity in the landscape. Ecography 33:523–537Google Scholar
  82. Saura S, Torne J (2009) Conefor Sensinode 2.2: a software package for quantifying the importance of habitat patches for landscape connectivity. Environ Model Softw 24:135–139CrossRefGoogle Scholar
  83. Saura S, Vogt P, Velázquez J, Hernando A, Tejera R (2011) Key structural forest connectors can be identified by combining landscape spatial pattern and network analyses. For Ecol Manag 262:150–160CrossRefGoogle Scholar
  84. Sverdrup-Thygeson A, Bendiksen E, Birkemoe T, Larsson KH (2014) Do conservation measures in forest work? A comparison of three area-based conservation tools for wood-living species in boreal forests. For Ecol Manag 330:8–16CrossRefGoogle Scholar
  85. Thompson I, Mackey B, McNulty S, Mosseler A (2009) Forest resilience, biodiversity, and climate change. In: A synthesis of the biodiversity/resilience/stability relationship in forest ecosystems. CBD Technical Series No. 43, Secretariat of the Convention on Biological DiversityGoogle Scholar
  86. Uezu A, Metzger JP, Vielliard JME (2005) Effects of structural and functional connectivity and patch size on the abundance of seven Atlantic Forest bird species. Biol Conserv 123:507–519CrossRefGoogle Scholar
  87. Urban D, Keitt T (2001) Landscape connectivity: a graph-theoretic perspective. Ecology 82:1205–1218CrossRefGoogle Scholar
  88. Vierling KT, Vierling LA, Gould WA, Martinuzzi S, Clawges RM (2008) Lidar: shedding new light on habitat characterization and modelling. Front Ecol Environ 6:90–98CrossRefGoogle Scholar
  89. von Sacken A (1998) Interior habitat. In: Voller J, Harrison S (eds) Conservation biology principles for forested landscapes, Chapter 5. UBC Press, VancouverGoogle Scholar
  90. Wang J, Kang M, Gao P, Huang H (2010) Contemporary pollen flow and mating patterns of a subtropical canopy tree Eurycorymbus cavaleriei in a fragmented agricultural landscape. For Ecol Manag 260:2180–2188CrossRefGoogle Scholar
  91. Weaver JL, Paquet PC, Ruggiero LF (1996) Resilience and conservation of large carnivores in the Rocky Mountains. Conserv Biol 10:964–976CrossRefGoogle Scholar
  92. Wikramanayake E, McKNIGHT M, Dinerstein E, Joshi A, Gurung B, Smith D (2004) Designing a conservation landscape for tigers in human-dominated environments. Conserv Biol 18:839–844CrossRefGoogle Scholar
  93. Work TT, Spence JR, Volney WJA, Morgantini LE, Innes JL (2003) Integrating biodiversity and forestry practices in western Canada. Forest Chron 79:906–916CrossRefGoogle Scholar
  94. Wulder MA, White JC, Cranny M, Hall RJ, Luther JE, Beaudoin A, Goodenough DG, Dechka JA (2008) Monitoring Canada’ s forests. Part 1: completion of the EOSD land cover project. Can J Remote Sens 34:549–562CrossRefGoogle Scholar
  95. Xun B, Yu D, Wang X (2017) Prioritizing habitat conservation outside protected areas in rapidly urbanizing landscapes: a patch network approach. Landsc Urban Plan 157:532–541CrossRefGoogle Scholar
  96. Young JE, Sánchez-Azofeifa GA, Hannon SJ, Chapman R (2006) Trends in land cover change and isolation of protected areas at the interface of the southern boreal mixedwood and aspen parkland in Alberta, Canada. For Ecol Manag 230:151–161CrossRefGoogle Scholar
  97. Zald HS, Ohmann JL, Roberts HM, Gregory MJ, Henderson EB, McGaughey RJ, Braaten J (2014) Influence of lidar, Landsat imagery, disturbance history, plot location accuracy, and plot size on accuracy of imputation maps of forest composition and structure. Remote Sens Environ 143:26–38CrossRefGoogle Scholar

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Authors and Affiliations

  1. 1.Faculty of ForestryUniversity of British ColumbiaVancouverCanada
  2. 2.Forest Management Branch, Forestry DivisionAlberta Agriculture and ForestryEdmontonCanada
  3. 3.Department of Renewable Resources, Faculty of Agricultural, Life, and Environmental SciencesUniversity of AlbertaEdmontonCanada
  4. 4.Canadian Wildlife Service, Environment and Climate Change CanadaPacific Wildlife Research CentreDeltaCanada

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