Abstract
Anthropogenic climate change is having significant impacts on montane and high-elevation areas globally. Warmer winter temperatures are driving reduced snowpack in the western USA with broad potential impacts on ecosystem dynamics of particular concern for protected areas. Vegetation phenology is a sensitive indicator of ecological response to climate change and is associated with snowmelt timing. Human monitoring of climate impacts can be resource prohibitive for land management agencies, whereas remotely sensed phenology observations are freely available at a range of spatiotemporal scales. Little work has been done in regions dominated by evergreen conifer cover, which represents many mountain regions at temperate latitudes. We used moderate resolution imaging spectroradiometer (MODIS) data to assess the influence of snowmelt timing and elevation on five phenology metrics (green up, maximum greenness, senescence, dormancy, and growing season length) within Crater Lake National Park, Oregon, USA from 2001 to 2012. Earlier annual mean snowmelt timing was significantly correlated with earlier onset of green up at the landscape scale. Snowmelt timing and elevation have significant explanatory power for phenology, though with high variability. Elevation has a moderate control on early season indicators such as snowmelt timing and green up and less on late-season variables such as senescence and growing season length. PCA results show that early season indicators and late season indicators vary independently. These results have important implications for ecosystem dynamics, management, and conservation, particularly of species such as whitebark pine (Pinus albicaulis) in alpine and subalpine areas.
Similar content being viewed by others
References
Abatzoglou JT, Rupp DE, Mote PW (2013) Seasonal climate variability and change in the Pacific Northwest of the United States. J Clim 27:2125–2142. https://doi.org/10.1175/JCLI-D-13-002181
Adamus PR, Odion DC, Jones V, Groshong LC, Reid R (2013) Crater Lake National Park natural resource condition assessment. Natural resource report NPS/NRSS/WRS/NRR-2013/724. National Park Service, Fort Collins
Ahl DE, Gower ST, Burrows SN, Shabanov NV, Myneni RB, Knyazikhin Y (2006) Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS. Remote Sens Environ 104:88–95. https://doi.org/10.1016/j.rse.2006.05.003
Ault TR, Schwartz MD, Zurita-Milla R, Weltzin JF, Betancourt JL (2015) Trends and natural variability of spring onset in the coterminous United States as evaluated by a new gridded dataset of spring indices. J Clim 28:8363–8378. https://doi.org/10.1175/JCLI-D-14-007361
Barnett TP, Pierce DW, Hidalgo HG, Bonfils C, Santer BD, Das T, Bala G, Wood AW, Nozawa T, Mirin AA, Cayan DR, Dettinger MD (2008) Human-induced changes in the hydrology of the western United States. Science 319:1080–1083. https://doi.org/10.1126/science.1152538
Baron JS, Gunderson L, Allen CD, Fleishman E, McKenzie D, Meyerson LA, Oropeza J, Stephenson N (2009) Options for national parks and reserves for adapting to climate change. Environ Manag 44:1033–1042. https://doi.org/10.1007/s00267-009-9296-6
Barry D, McDonald S (2012) Climate change or climate cycles? Snowpack trends in the Olympic and Cascade Mountains, Washington, USA. Environ Monit Assess 185:719–728. https://doi.org/10.1007/s10661-012-2587-z
Bartholow JM (2005) Recent water temperature trends in the Lower Klamath River, California. North Am J Fish Manag 25:152–162. https://doi.org/10.1577/M04-007.1
Beck PSA, Atzberger C, Høgd KA, Johansen B, Skidmore AK (2006) Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI. Remote Sens Environ 100:321–334. https://doi.org/10.1016/j.rse.2005.10.021
Beniston M, Diaz HF, Bradley RS (1997) Climatic change at high elevation sites: an overview. Clim Chang 36:233–251. https://doi.org/10.1023/A:1005380714349
Bentz BJ, Régnière J, Fettig CJ, Hansen EM, Hayes JL, Hicke JA, Kelsey RG, Negrón JF, Seybold SJ (2010) Climate change and bark beetles of the Western United States and Canada: direct and indirect effects. Bioscience 60:602–613. https://doi.org/10.1525/bio20106086
Both C, Van Asch M, Bijlsma RG, Van Den Burg AB, Visser ME (2009) Climate change and unequal phenological changes across four trophic levels: constraints or adaptations? J Anim Ecol 78:73–83. https://doi.org/10.1111/j1365-2656200801458x
Burns CE, Johnston KM, Schmitz OJ (2003) Global climate change and mammalian species diversity in US national parks. Proc Natl Acad Sci 100:11474–11477. https://doi.org/10.1073/pnas1635115100
CaraDonna PJ, Iler AM, Inouye DW (2014) Shifts in flowering phenology reshape a subalpine plant community. Proc Natl Acad Sci 111:4916–4921. https://doi.org/10.1073/pnas1323073111
Carroll A, Taylor S, Regniere J, Safranyik L (2003) Effect of climate change on range expansion by the mountain pine beetle in British Columbia. In: Shore TL (ed) Mt Pine Beetle Symposium: challenges and solutions. Natural Resources Canada, Information Report, BC-X-399 Vic, Kelowna, pp 223–232
Cayan DR (1996) Interannual climate variability and snowpack in the Western United States. J Clim 9:928–948. https://doi.org/10.1175/1520-0442(1996)009<0928:ICVASI>2.0.CO;2
Cayan DR, Maurer EP, Dettinger MD, Tyree M, Hayhoe K (2008) Climate change scenarios for the California region. Clim Chang 87:21–42. https://doi.org/10.1007/s10584-007-9377-6
Chapman DS, Haynes T, Beal S, Essl F, Bullock JM (2014) Phenology predicts the native and invasive range limits of common ragweed. Glob Chang Biol 20:192–202. https://doi.org/10.1111/gcb12380
Cleland EE, Chuine I, Menzel A, Mooney HA, Schwartz MD (2007) Shifting plant phenology in response to global change. Trends Ecol Evol 22:357–365
Dougherty PM, Whitehead D, Vose JM (1994) Environmental influences on the phenology of pine. Ecol Bull 43:64–75
Durant J, Hjermann D, Ottersen G, Stenseth N (2007) Climate and the match or mismatch between predator requirements and resource availability. Clim Res 33:271–283. https://doi.org/10.3354/cr033271
Early R, Sax DF (2014) Climatic niche shifts between species’ native and naturalized ranges raise concern for ecological forecasts during invasions and climate change. Glob Ecol Biogeogr 23:1356–1365. https://doi.org/10.1111/geb12208
Enquist CA, Kellermann JL, Gerst KL, Miller-Rushing AJ (2014) Phenology research for natural resource management in the United States. Int J Biometeorol 58:579–589. https://doi.org/10.1007/s00484-013-0772-6
Fancy SG, Gross JE, Carter SL (2008) Monitoring the condition of natural resources in US national parks. Environ Monit Assess 151:161–174. https://doi.org/10.1007/s10661-008-0257-y
Fontana F, Rixen C, Jonas T, Aberegg G, Wunderle S (2008) Alpine grassland phenology as seen in AVHRR, VEGETATION, and MODIS NDVI time series—a comparison with in situ measurements. Sensors 8:2833–2853. https://doi.org/10.3390/s8042833
Forrest J, Miller-Rushing AJ (2010) Toward a synthetic understanding of the role of phenology in ecology and evolution. Philos Trans R Soc Lond Ser B Biol Sci 365:3101–3112. https://doi.org/10.1098/rstb20100145
Ganguly S, Friedl MA, Tan B, Zhang X, Verma M (2010) Land surface phenology from MODIS: characterization of the collection 5 global land cover dynamics product. Remote Sens Environ 114:1805–1816. https://doi.org/10.1016/jrse201004005
Goldstein AH, Hultman NE, Fracheboud JM, Bauer MR, Panek JA, Xu M, Qi Y, Guenther AB, Baugh W (2000) Effects of climate variability on the carbon dioxide, water, and sensible heat fluxes above a ponderosa pine plantation in the Sierra Nevada (CA). Agric For Meteorol 101:113–129. https://doi.org/10.1016/S0168-1923(99)00168-9
Grunewald T, Schirmer M, Mott R, Lehning M (2010) Spatial and temporal variability of snow depth and ablation rates in a small mountain catchment. Cryosphere 4:215–225
Hall DK, Riggs GA (2007) Accuracy assessment of the MODIS snow products. Hydrol Process 21:1534–1547. https://doi.org/10.1002/hyp.6715
Hall DK, Salomonson VV, Riggs GA (2006) MODIS/Terra Snow Cover 8-Day L3 Global 500m Grid Version 5. (January 2001–December 2012) National Snow and Ice Data Center, Boulder, Colorado USA: National Snow and Ice Data Center. Digital media
Hamlet AF, Lettenmaier DP (1999) Effects of climate change on hydrology and water resources in the Columbia River Basin. J Am Water Resour Assoc 35:1597–1623. https://doi.org/10.1111/j.1752-1688.1999.tb04240.x
Harpold AA, Molotch NP, Musselman KN, Bales RC, Kirchner PB, Litvak M, Brooks PD (2015) Soil moisture response to snowmelt timing in mixed-conifer subalpine forests. Hydrol Process 29:2782–2798. https://doi.org/10.1002/hyp10400
Harrington R, Woiwod I, Sparks T (1999) Climate change and trophic interactions. Trends Ecol Evol 14:146–150. https://doi.org/10.1016/S0169-5347(99)01604-3
Hellmann JJ, Byers JE, Bierwagen BG, Dukes JS (2008) Five potential consequences of climate change for invasive species. Conserv Biol 22:534–543. https://doi.org/10.1111/j1523-1739200800951x
Inouye DW (2008) Effects of Climate Change on phenology, frost damage, and floral abundance of montane wildflowers. Ecology 89:353–362. https://doi.org/10.1890/06-2128.1
IPCC (2007) Climate Change 2007: impacts, adaptation and vulnerability. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, p 976
IPCC (2014) Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge 1132 pp
Jönsson AM, Eklundh L, Hellström M, Bärring L, Jönsson P (2010) Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology. Remote Sens Environ 114:2719–2730. https://doi.org/10.1016/jrse201006005
Keane RE, Gray KL, Dickinson LJ (2007) Whitebark pine diameter growth response to removal of competition. Res. Note RMRS-RN-32. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins
Keane RE, Tomback DF, Aubry CA, Bower AD, Campbell EM, Cripps CL, Jenkins MB, Mahalovich MF, Manning M, McKinney ST, Murray MP, Perkins DL, Reinhart DP, Ryan C, Schoettle AW, Smith CM (2012) A range-wide restoration strategy for whitebark pine (Pinus albicaulis). Gen Tech Rep RMRS-GTR-279. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins
Kendall KC, Keane RE (2001) Whitebark pine decline: infection, mortality, and population trends. In: Tomback DF, Arno SF, Keane RE (eds) Whitebark pine communities: ecology and restoration. Island Press, Washington, DC, pp 221–242
Knight JF, Lunetta RS, Ediriwickrema J, Khorram S (2006) Regional scale land cover characterization using MODIS-NDVI 250 m multi-temporal imagery: a phenology-based approach. GISci Remote Sens 43:1–23. https://doi.org/10.2747/1548-1603.43.1.1
Knowles P, Grant MC (1983) Age and size structure analyses of Engelmann spruce, ponderosa pine, lodgepole pine, and limber pine in Colorado. Ecology 64:1–9. https://doi.org/10.2307/1937322
Körner C (2016) Plant adaptation to cold climates. F1000Res 5. doi:10.12688/f1000research.9107.1
Kriegler FJ, Malila WA, Nalepka RF, Richardson W (1969) Preprocessing transformations and their effects on multispectral recognition. Proc Sixth Int Symp Remote Sens Environ 97–131
Lambert AM, Miller-Rushing AJ, Inouye DW (2010) Changes in snowmelt date and summer precipitation affect the flowering phenology of Erythronium grandiflorum (glacier lily; Liliaceae). Am J Bot 97:1431–1437. https://doi.org/10.3732/ajb1000095
Law BE, Waring RH (2014) Carbon implications of current and future effects of drought, fire and management on Pacific Northwest forests. For Ecol Manag 355:4–14. https://doi.org/10.1016/jforeco201411023
Leingärtner A, Krauss J, Steffan-Dewenter I (2014) Elevation and experimental snowmelt manipulation affect emergence phenology and abundance of soil-hibernating arthropods. Ecol Entomol 39:412–418. https://doi.org/10.1111/een12112
Leung LR, Qian Y, Bian X, Washington WM, Han J, Roads JO (2004) Mid-century ensemble regional climate change scenarios for the Western United States. Clim Chang 62:75–113. https://doi.org/10.1023/B:CLIM00000136925064055
Levy S (2003) Turbulence in the Klamath River Basin. Bioscience 53:315–320. https://doi.org/10.1641/0006-3568(2003)053[0315:TITKRB]2.0.CO;2
Loustau D, Pluviaud F, Bosc A, et al (2001) Sub-regional climate change impacts on the water balance, carbon balance and primary productivity of maritime pine in South-West France. Models Sustain Manag Temp Plant For 45
Mayer TD, Naman SW (2011) Streamflow response to climate as influenced by geology and elevation. J Am Water Res Assoc 47:724–738. https://doi.org/10.1111/j.1752-1688.2011.00537.x
McCullough IM, Davis FW, Dingman JR, Flint LE, Flint AL, Serra-Diaz JM, Syphard AD, Moritz MA, Hannah L, Franklin J (2015) High and dry: high elevations disproportionately exposed to regional climate change in Mediterranean-climate landscapes. Landsc Ecol 31:1–13. https://doi.org/10.1007/s10980-015-0318-x
Meier GA, Brown JF, Evelsizer RJ, Vogelmann JE (2015) Phenology and climate relationships in aspen (Populus tremuloides Michx.) forest and woodland communities of southwestern Colorado. Ecol Indic 48:189–197. https://doi.org/10.1016/j.ecolind.2014.05.033
Millar CI, Westfall RD, Delany DL, Bokach MJ, Flint AL, Flint LE (2012) Forest mortality in high-elevation whitebark pine (Pinus albicaulis) forests of eastern California, USA; influence of environmental context, bark beetles, climatic water deficit, and warming. Can J For Res 42:749–765
Miller NL, Bashford KE, Strem E (2003) Potential impacts of climate change on California hydrology. J Am Water Resour Assoc 39:771–784. https://doi.org/10.1111/j.1752-1688.2003.tb04404.x
Monahan WB, Fisichelli NA (2014) Climate exposure of US national parks in a new era of change. PLoS One 9:e101302. https://doi.org/10.1371/journalpone0101302
Moore C, Kampf S, Stone B, Richer E (2014) A GIS-based method for defining snow zones: application to the Western United States. Geocarto Int 30:62–81. https://doi.org/10.1080/101060492014885089
Moritz C, Patton JL, Conroy CJ, Parra JL, White GC, Beissinger SR (2008) Impact of a century of climate change on small-mammal communities in Yosemite National Park, USA. Science 322:261–264. https://doi.org/10.1126/science1163428
Mote PW (2006) Climate-driven variability and trends in mountain snowpack in Western North America. J Clim 19:6209–6220. https://doi.org/10.1175/JCLI39711
Mote PW, Salathe EPS Jr (2010) Future climate in the Pacific Northwest. Clim Chang 102:29–50. https://doi.org/10.1007/s10584-010-9848-z
Mountain Research Initiative EDW Working Group (2015) Elevation-dependent warming in mountain regions of the world. Nat Clim Chang 5:424–430. https://doi.org/10.1038/nclimate2563
Muhlfeld CC, Giersch JJ, Hauer FR, Pederson GT, Luikart G, Peterson DP, Downs CC, Fagre DB (2011) Climate change links fate of glaciers and an endemic alpine invertebrate. Clim Chang 106:337–345. https://doi.org/10.1007/s10584-011-0057-1
NatureServe (2016) NatureServe Web Service. Arlington. Available https://services.natureserve.org. Accessed 5 Oct 2016
Nolin AW (2012) Perspectives on climate change, mountain hydrology, and water resources in the Oregon Cascades, USA. Mt Res Dev 32:S35–S46. https://doi.org/10.1659/MRD-JOURNAL-D-11-00038.S1
O’Leary D, Bloom T, Smith J, Zempf C, Medler M (2016) A new method comparing snowmelt timing with annual area burned. Fire Ecol 12:41–51. https://doi.org/10.4996/fireecology.1201041
O’Leary DSI, Hall DK, Medler MJ, Matthews RA, Flower A (2017) Snowmelt timing maps derived from MODIS for North America, 2001-2015. Oak Ridge Natl Lab. https://doi.org/10.3334/ORNLDAAC/1504
Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature 421:37–42. https://doi.org/10.1038/nature01286
Payne JT, Wood AW, Hamlet AF, Palmer RN, Lettenmaier DP (2004) Mitigating the effects of climate change on the water resources of the Columbia River basin. Clim Chang 62:233–256. https://doi.org/10.1023/B:CLIM.0000013694.18154.d6
Peterson AG, Abatzoglou JT (2014) Observed changes in false springs over the contiguous United States. Geophys Res Lett 41:2014GL059266. https://doi.org/10.1002/2014GL059266
Pettorelli N, Vik JO, Mysterud A, Gaillard JM, Tucker CJ, Stenseth NC (2005) Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol Evol 20:503–510
Poff NL, Allan JD, Palmer MA, Hart DD, Richter BD, Arthington AH, Rogers KH, Meyer JL, Stanford JA (2003) River flows and water wars: emerging science for environmental decision making. Front Ecol Environ 1:298–306. https://doi.org/10.1890/1540-9295(2003)001[0298:RFAWWE]2.0.CO;2
Post E, Pedersen C, Wilmers CC, Forchhammer MC (2008) Warming, plant phenology and the spatial dimension of trophic mismatch for large herbivores. Proc R Soc Lond B Biol Sci 275:2005–2013
Rango A, van Katwijk V (1990) Climate change effects on the snowmelt hydrology of western North American mountain basins. IEEE Trans Geosci Remote Sens 28:970–974. https://doi.org/10.1109/36.58987
Rangwala I, Miller JR (2012) Climate change in mountains: a review of elevation-dependent warming and its possible causes. Clim Chang 114:527–547. https://doi.org/10.1007/s10584-012-0419-3
Rouse JW, Haas RH, Scheel JA, Deering DW (1974) Monitoring Vegetation Systems in the Great Plains with ERTS. Proc 3rd Earth Resour Technol Satell ERTS Symp 1:48–62
Sambaraju KR, Carroll AL, Zhu J, Stahl K, Moore RD, Aukema BH (2012) Climate change could alter the distribution of mountain pine beetle outbreaks in western Canada. Ecography 35:211–223. https://doi.org/10.1111/j1600-0587201106847x
Sedlacek J, Wheeler JA, Cortés AJ, Bossdorf O, Hoch G, Lexer C, Wipf S, Karrenberg S, van Kleunen M, Rixen C (2015) The response of the alpine dwarf shrub Salix herbacea to altered snowmelt timing: lessons from a multi-site transplant experiment. PLoS One 10:e0122395. https://doi.org/10.1371/journal.pone.0122395
Semmens K, Ramage J (2012) Investigating correlations between snowmelt and forest fires in a high latitude snowmelt dominated drainage basin. Hydrol Process 26:2608–2617. https://doi.org/10.1002/hyp.9327
Stewart IT (2009) Changes in snowpack and snowmelt runoff for key mountain regions. Hydrol Process 23:78–94. https://doi.org/10.1002/hyp.7128
Totland Ø, Alatalo JM (2002) Effects of temperature and date of snowmelt on growth, reproduction, and flowering phenology in the arctic/alpine herb, Ranunculus glacialis. Oecologia 133:168–175. https://doi.org/10.1007/s00442-002-1028-z
U.S. Environmental Protection Agency (2016) Climate change indicators in the United States, 2016. Fourth edition. EPA 430-R-16-004
Visser ME, Holleman LJM (2001) Warmer springs disrupt the synchrony of oak and winter moth phenology. Proc R Soc Lond B Biol Sci 268:289–294. https://doi.org/10.1098/rspb20001363
Visser ME, Holleman LJM, Gienapp P (2005) Shifts in caterpillar biomass phenology due to climate change and its impact on the breeding biology of an insectivorous bird. Oecologia 147:164–172. https://doi.org/10.1007/s00442-005-0299-6
Walther GR (2010) Community and ecosystem responses to recent climate change. Philos Trans R Soc Lond Ser B Biol Sci 365:2019–2024. https://doi.org/10.1098/rstb.2010.0021
Wang X, Xie H, Liang T (2008) Evaluation of MODIS snow cover and cloud mask and its application in Northern Xinjiang, China. Remote Sens Environ 112:1497–1513
Wang Q, Tenhunen J, Dinh NQ, et al (2004) Similarities in ground- and satellite-based NDVI time series and their relationship to physiological activity of a Scots pine forest in Finland. Remote Sens Environ 93:225–237. https://doi.org/10.1016/j.rse.2004.07.006
Westerling AL, Hidalgo HG, Cayan DR, Swetnam TW (2006) Warming and earlier spring increase western US forest wildfire activity. Science 313:940–943. https://doi.org/10.1126/science.1128834
Wipf S, Stoeckli V, Bebi P (2009) Winter climate change in alpine tundra: plant responses to changes in snow depth and snowmelt timing. Clim Change 94:105–121. https://doi.org/10.1007/s10584-009-9546-x
Wolf A, Zimmerman NB, Anderegg WRL, Busby PE, Christensen J (2016) Altitudinal shifts of the native and introduced flora of California in the context of 20th-century warming. Glob Ecol Biogeogr 25:418–429. https://doi.org/10.1111/geb12423
Yu X, Zhuang DF (2006) Monitoring forest phenophases of Northeast China based on MODIS NDVI data. Resour Sci 28:111–117
Zhang X, Friedl MA, Schaaf CB, Strahler AH, Hodges JC, Ga F, Reed BC, Huete A (2003) Monitoring vegetation phenology using MODIS. Remote Sens Environ 84:471–475
Zhang X, Tan B, Friedl MA, Goldberg MD, Yu Y (2012) Long-term detection of global vegetation phenology from satellite instruments. INTECH Open Access Publisher, Rijeka
Funding
This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE1322106. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors also express their appreciation for support from the Young Leaders in Climate Change Fellowship, a partnership between The George Melendez Wright Foundation, The University of Washington College of the Environment, and The US National Park Service, as well as support from Crater Lake National Park and the Crater Lake National Park Science and Learning Center.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Appendix 1
(DOCX 14 kb)
Rights and permissions
About this article
Cite this article
O’Leary, D.S., Kellermann, J.L. & Wayne, C. Snowmelt timing, phenology, and growing season length in conifer forests of Crater Lake National Park, USA. Int J Biometeorol 62, 273–285 (2018). https://doi.org/10.1007/s00484-017-1449-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00484-017-1449-3