Abstract
Context
Multi-scale approaches to habitat modeling have been shown to provide more accurate understanding and predictions of species-habitat associations. It remains however unexplored how spatial and temporal variations in habitat use may affect multi-scale habitat modeling.
Objectives
We aimed at assessing how seasonal and temporal differences in species habitat use and distribution impact operational scales, variable influence, habitat suitability spatial patterns, and performance of multi-scale models.
Methods
We evaluated the environmental factors driving brown bear habitat relationships in the Cantabrian Range (Spain) based on species presence records (ground observations) for the period 2000–2010, LiDAR data on forest structure, and seasonal estimates of foraging resources. We separately developed multi-scale habitat models for (i) each season (spring, summer, fall and winter) (ii) two sub-periods with different population status: 2000–2004 (with brown bear distribution restricted to the main population nuclei) and 2005–2010 (with expanding bear population and range); and (iii) the entire 2000–2010 period.
Results
Scales of effect remained considerably stable across seasonal and temporal variations, but not the influence of certain environmental variables. The predictive ability of multi-scale models was lower in the seasons or periods in which populations used larger areas and a broader variety of environmental conditions. Seasonal estimates of foraging resources, together with LiDAR data, appeared to improve the performance of multi-scale habitat models.
Conclusions
We highlight that the understanding of multi-scale behavioral responses of species to spatial patterns that continually shift over time may be essential to unravel habitat relationships and produce reliable estimates of species distributions.
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References
Anderson DP, Forester JD, Turner MG, Frair JL, Merrill EH, Fortin D, Mao JS, Boyce MS (2005) Factors influencing female home range sizes in elk (Cervus elaphus) in North American landscapes. Landscape Ecol 20(3):257–271
Apps CD, McLellan BN, Woods JG, Proctor MF (2004) Estimating grizzly bear distribution and abundance relative to habitat and human influence. J Wildl Manag 68(1):138–152
Ballesteros F, Palomero G (2012) Conectividad, demografía y conservación del oso pardo Cantábrico. In: San Miguel A, Ballesteros F, Blanco JC, Palomero G (eds) Manual de buenas prácticas para la gestión de corredores oseros en la Cordillera Cantábrica. Fundación Oso Pardo. Ministerio de Agricultura, Alimentación y Medio Ambiente. Serie Especies Amenazadas, Madrid, pp 21–33
Ballesteros F, Martín B, Blanco JC (2012) Calidad de hábitat y presencia de osos en el corredor interpoblacional. In: San Miguel A, Ballesteros F, Blanco JC, Palomero G (eds) Manual de buenas prácticas para la gestión de corredores oseros en la Cordillera Cantábrica. Fundación Oso Pardo. Ministerio de Agricultura, Alimentación y Medio Ambiente. Serie Especies Amenazadas, Madrid, pp 33–56
Barnagaud JY, Devictor V, Jiguet F, Archaux F (2011) When species become generalists: on-going large-scale changes in bird habitat specialization. Global Ecol Biogeogr 20(4):630–640
Berland A, Nelson T, Stenhouse G, Graham K, Cranston J (2008) The impact of landscape disturbance on grizzly bear habitat use in the Foothills Model Forest, Alberta, Canada. For Ecol Manag 256(11):1875–1883
Börger L, Franconi N, Ferretti F, Meschi F, De Michele G, Gantz A, Coulson T (2006) An integrated approach to identify spatiotemporal and individual-level determinants of animal home range size. Am Nat 168(4):471–485
Bradley BA, Wilcove DS, Oppenheimer M (2010) Climate change increases risk of plant invasion in the Eastern United States. Biol Invasions 12(6):1855–1872
Cardillo M, Mace GM, Jones KE, Bielby J, Bininda-Emonds ORP, Sechrest W, Orme CDL, Purvis A (2005) Multiple causes of high extinction risk in large mammal species. Science 309(5738):1239–1241
Ciucci P, Tosoni E, Di Domenico G, Quattrociocchi F, Boitani L (2014) Seasonal and annual variation in the food habits of Apennine brown bears, central Italy. J Mammal 95(3):572–586
Ciudad C, Robles H, Matthysen E (2009) Postfledging habitat selection of juvenile middle spotted woodpeckers: a multi-scale approach. Ecography 32:676–682
Clevenger AP (1991) Selección de hábitat. In: Clevenger AP, Purroy FJ (eds) Ecología del oso pardo en España. Madrid. Museo Nacional de Ciencias Naturales, CSIC (Monografías 4), pp 73–84
Clevenger A, Purroy F, Pelton M (1992) Brown bear (Ursus arctos L.) habitat use in the Cantabrian Mountains, Spain. Mammalia 56(2):203–214
Clevenger AP, Purroy FJ, Campos MA (1997) Habitat assessment of a relict brown bear Ursus arctos population in northern Spain. Biol Conserv 80(1):17–22
Colles A, Liow LH, Prinzing A (2009) Are specialists at risk under environmental change? Neoecological, paleoecological and phylogenetic approaches. Ecol Lett 12(8):849–863
Delibes M (1999) Osos y madroños. Biológica 39:62–63
Desrochers A, Renaud C, Hochachka WM, Cadman M (2010) Area-sensitivity by forest songbirds: theoretical and practical implications of scale-dependency. Ecography 33:921–931
Dungan JL, Perry JN, Dale MRT, Legendre P, Citron-Pousty Fortin M-J, Jakomulska A, Miriti M, Rosenberg MS (2002) A balanced view of scale in spatial statistical analysis. Ecography 25(5):626–640
Fernandez-Calvo I, Naves J, Fernandez-Gil A, Iglesias JM (2001). Variación interanual en la dieta del oso pardo cantábrico (Ursus arctos) y su relación con la disponibilidad. In: V National Meeting of the Spanish Society for study and conservation of mammals. SECEM, Vitoria, Spain, pp 64–65
Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24(01):38–49
Fisher JT, Anholt B, Volpe JP (2011) Body mass explains characteristic scales of habitat selection in terrestrial mammals. Ecol Evol 1:517–528
Fortin M-J, James PMA, MacKenzie A, Melles SJ, Rayfield B (2012) Spatial statistics, spatial regression, and graph theory in ecology. Spat Stat 1:100–109
Fretwell SD, Lucas HL (1970) On territorial behavior and other factors influencing habitat distribution in birds. Acta Biotheor 19(1):16–36
Fryxell JM, Wilmshurst JF, Sinclair AR (2004) Predictive models of movement by Serengeti grazers. Ecology 85(9):2429–2435
García P, Lastra J, Marquínez J, Nores C (2007) Detailed model of shelter areas for the Cantabrian brown bear. Ecol Inform 2(4):297–307
Gastón A, García-Viñas JA (2011) Modelling species distributions with penalised logistic regressions: a comparison with maximum entropy models. Ecol Model 222(13):2037–2041
Gastón A, Blázquez-Cabrera S, Garrote G, Mateo-Sánchez MC, Beier P, Simón MA, Saura S (2015). Contrasting responses to different agricultural covers and dispersal plasticity of woodland species: the case of the endangered Iberian lynx
Gómez-Manzanedo M, Urchaga A, Roig S, San Miguel A (2012) Gestión de la vegetación arbustiva y herbácea. In: San Miguel A, Ballesteros F, Blanco JC, Palomero G (eds) Manual de buenas prácticas para la gestión de corredores oseros en la Cordillera Cantábrica. Fundación Oso Pardo Ministerio de Agricultura, Alimentación y Medio Ambiente. Serie Especies Amenazadas, Madrid, pp 101–140
Grand J, Buonaccorsi J, Cushman SA, Griffin CR, Neel MC (2004) A multiscale landscape approach to predicting bird and moth rarity hotspots in a threatened pitch pine–scrub oak community. Conserv Biol 18(4):1063–1077
Harrell FE (2001) Regression modeling strategies: with applications to linear models, logistic regression and survival analysis. Springer, New York
Harrell FE (2014) rms: regression modeling strategies. R package version 4.2-1. http://cran.r-project.org/packages=rms
Holland J, Fahrig L (2000) Effect of woody borders on insect density and diversity in crop fields: a landscape-scale analysis. Agric Ecosyst Environ 78(2):115–122
Holland JD, Bert DG, Fahrig L (2004) Determining the spatial scale of species’ response to habitat. Bioscience 54(3):227–233
Huber D, Roth HU (1993) Movements of European brown bears in Croatia. Acta Theriol 38:151–159
Jackson HB, Fahrig L (2012) What size is a biologically relevant landscape? Landscape Ecol 27(7):929–941
Johnson DH (1980) The comparison of usage and availability measurements for evaluating resource preference. Ecology 61(1):65–71
Johnson JB, Omland KS (2004) Model selection in ecology and evolution. Trends Ecol Evol 19:101–108
Kie JG, Bowyer RT, Nicholson MC, Boroski BB, Loft ER (2002) Landscape heterogeneity at differing scales: effects on spatial distribution of mule deer. Ecology 83(2):530–544
Koreň M, Find’o S, Skuban M, Kajba M (2011) Habitat suitability modelling from non-point data: the case study of brown bear habitat in Slovakia. Ecol Inform 6(5):296–302
Kotliar NB, Wiens JA (1990) Multiple scales of patchiness and patch structure: a hierarchical framework for the study of heterogeneity. Oikos 59(2):253–260
Levin SA (1992) The problem of pattern and scale in ecology: the Robert H. MacArthur award lecture. Ecology 73(6):1943–1967
Marquínez J (2002) Delimitación de áreas críticas para el oso pardo y cartografía de calidad de hábitat. Instituto de Recursos Naturales y Ordenación del Territorio, Universidad de Oviedo. Consejería de Medio Ambiente. Gobierno del Principado de Asturias
Mateo-Sánchez MC, Cushman SA, Saura S (2014) Scale dependence in habitat selection: the case of the endangered brown bear (Ursus arctos) in the Cantabrian Range (NW Spain). Int J Geogr Inf Sci 28(8):1531–1546
Mattson DJ, Barber K, Maw R, Renkin R (2004) Coefficients of productivity for Yellowstone’s grizzly bear habitat. US Department of the Interior, US Geological Survey
McFarland TM, Grzybowski JA, Mathewson HA, Morrison ML (2014) Presence-only species distribution models to predict suitability over a long-term study for a species with a growing population. Wildl Soc Bull 39:218–224
McGarigal K, Cushman SA, Ene E (2012) FRAGSTATS v4: spatial pattern analysis program for categorical and continuous maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. http://www.umass.edu/landeco/research/fragstats/fragstats.html
McGaughey RJ, Carson WW (2003) Fusing LIDAR data, photographs, and other data using 2D and 3D visualization techniques. In: Proceedings of terrain data: applications and visualization–making the connection, October 28–30, pp 16–24
Ministerio de Fomento (2015) Plan Nacional de Ortofotografía Aérea. Instituto Geográfico Nacional. www.pnoa.ign.es
Naves J, Palomero G (1993) El oso pardo en España (Ursus arctos). ICONA, Madrid
Naves J, Wiegand T, Fernández AF, Stephan T (1999) Riesgo de extinción del oso pardo cantábrico. La población occidental. Fundación Oso de Asturias, Oviedo
Naves J, Fernández-Gil A, Delibes M (2001) Effects of recreation activities on a brown bear family group in Spain. Ursus 12:135–140
Naves J, Wiegand T, Revilla E, Delibes M (2003) Endangered species constrained by natural and human factors: the case of brown bears in northern Spain. Conserv Biol 17(5):1276–1289
Naves J, Fernández-Gil A, Rodríguez C, Delibes M (2006) Brown bear food habits at the border of its range: a long-term study. J Mammal 87(5):899–908
Nielsen SE, McDermid G, Stenhouse GB, Boyce MS (2010) Dynamic wildlife habitat models: seasonal foods and mortality risk predict occupancy-abundance and habitat selection in grizzly bears. Biol Conserv 143(7):1623–1634
Palomero G (1995) Winter activity of the brown bear in the Cantabrian Mountains (Spain). In: Abstracts of the 10th tenth international conference on bear research and management, Mora, Sweden, 11–14th September
Palomero G, Ballesteros F, Blanco JC, García-Serrano A, Herrero J, Nores C (2011) Osas, el comportamiento de las osas y sus crías en la Cordillera Cantábrica, 2nd edn. Fundación Oso Pardo, Fundación biodiversidad, Madrid
Pearson RG, Dawson TP, Liu C (2004) Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data. Ecography 27(3):285–298
Pope SE, Fahrig L, Merriam HG (2000) Landscape complementation and metapopulation effects on leopard frog populations. Ecology 81(9):2498–2508
Posillico M, Meriggi A, Pagnin E, Lovari S, Russo L (2004) A habitat model for brown bear conservation and land use planning in the central Apennines. Biol Conserv 118(2):141–150
R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/. Version 3.1.2
Rettie WJ, Messier F (2000) Hierarchical habitat selection by woodland caribou: its relationship to limiting factors. Ecography 23(4):466–478
Rode K, Robbins C (2000) Why bears consume mixed diets during fruit abundance. Can J Zool 78(9):1640–1645
Savignac C, Desrochers A, Huot J (2000) Habitat use by pileated woodpeckers at two spatial scales in eastern Canada. Can J Zool 78(2):219–225
Schaefer JA, Messier F (1995) Habitat selection as a hierarchy: the spatial scales of winter foraging by muskoxen. Ecography 18(4):333–344
Shirk AJ, Wasserman TN, Cushman SA, Raphael MG (2012) Scale dependency of American marten (Martes americana) habitat relations. In: Aubry KB, Zielinski WJ, Raphael MG, Proulx G, Buskirk W (eds) Biology and conservation of martens, sables, and fishers: a new synthesis. Cornell University Press, Ithaca, pp 269–283
Swenson JE, Sandegren F, So-Derberg A (1998) Geographic expansion of an increasing brown bear population: evidence for presaturation dispersal. J Anim Ecol 67(5):819–826
Tattoni C, Rizzolli F, Pedrini P (2012) Can LiDAR data improve bird habitat suitability models? Ecol Model 245:103–110
Triantis KA, Mylonas M, Lika K, Vardinoyannis K (2003) A model for the species–area–habitat relationship. J Biogeogr 30(1):19–27
Urban DL (1987) Landscape ecology. Bioscience 37:119–127
Van Beest FM, Rivrud IM, Loe LE, Milner JM, Mysterud A (2011) What determines variation in home range size across spatiotemporal scales in a large browsing herbivore? J Anim Ecol 80(4):771–785
Vicente J, Randin CF, Gonçalves J, Metzger MJ, Lomba A, Honrado J, Guisan A (2011) Where will conflicts between alien and rare species occur after climate and land-use change? A test with a novel combined modelling approach. Biol Invasions 13(5):1209–1227
Vicente JR, Gonçalves J, Honrado JP, Randin CF, Pottier J, Broennimann O, Lomba A, Guisan A (2014) A framework for assessing the scale of influence of environmental factor on ecological patterns. Ecol Complex 20:151–156
Vos CC, Verboom J, Opdam PF, Ter Braak CJ (2001) Toward ecologically scaled landscape indices. Am Nat 157(1):24–41
Wasserman TN, Cushman SA, Wallin DO, Hayden J (2012) Multi scale habitat. Relationships of Martes americana in northern Idaho, USA. USDA forest service RMRS research paper RMRS-RP-94
Weaver JE, Conway TM, Fortin M-J (2012) An invasive species’ relationship with environmental variables changes across multiple spatial scales. Landscape Ecol 27:1351–1362
Wiegand T, Naves J, Stephan T, Fernández A (1998) Assessing the risk of extinction for the brown bear (Ursus arctos) in the Cordillera Cantabrica, Spain. Ecol Monogr 68(4):539–570
Wiens JA (1989) Spatial scaling in ecology. Funct Ecol 3:385–397
Woodroffe R (2000) Predators and people: using human densities to interpret declines of large carnivores. Anim Conserv 3(2):165–173
Zellweger F, Morsdorf F, Purves RS, Braunisch V, Bollmann K (2014) Improved methods for measuring forest landscape structure: LiDAR complements field-based habitat assessment. Biodivers Conserv 23(2):289–307
Zollner PA (2000) Comparing the landscape level perceptual abilities of forest sciurids in fragmented agricultural landscapes. Landscape Ecol 15(6):523–533
Acknowledgments
Funding was provided by the Spanish Ministry of Science and Innovation research grant GEFOUR (AGL2012-31099) and Technical University of Madrid. We are also grateful to the Regional Administration involved in the brown bear management: Junta de Castilla y León, Gobierno de Cantabria, Principado de Asturias and Xunta de Galicia for providing data. Thanks also to the valuable support provided by Fundación Oso Pardo.
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Special issue: Multi-scale habitat modeling.
Guest Editors: K. McGarigal and S. A. Cushman.
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Mateo-Sánchez, M.C., Gastón, A., Ciudad, C. et al. Seasonal and temporal changes in species use of the landscape: how do they impact the inferences from multi-scale habitat modeling?. Landscape Ecol 31, 1261–1276 (2016). https://doi.org/10.1007/s10980-015-0324-z
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DOI: https://doi.org/10.1007/s10980-015-0324-z