Spatio-temporal distribution of the timing of start and end of growing season along vertical and horizontal gradients in Japan

Amano T, Smithers RJ, Sparks TH, Sutherland WJ (2010) A 250-year index of first flowering dates and its response to temperature changes. Proc Royal Soc B 277:2451–2457 Barichivich J, Briffa KR, Myneni RB, Osborn TJ, Melvin TM, Ciais P, Piao S, Tucker C (2013) Large-scale variations in the vegetation growing season and annual cycle of atmospheric CO2 at high northern latitudes from 1950 to 2011. Global Change Biol 19:3167–3183 Chen XQ, Xu L (2012a) Temperature controls on the spatial pattern of tree phenology in China’s temperate zone. Agric For Meteorol 154–155:195–202 Chen XQ, Xu L (2012b) Phenological responses of Ulmus pumila (Siberian Elm) to climate change in the temperate zone of China. Int J Biometeorol 56:695–706 Chen XQ, Luo XZ, Xu L (2013) Comparison of spatial patterns of satellite-derived and ground-based phenology for the deciduous broadleaf forest of China. Remote Sens Lett 4(6):532–541 Chuine I, Kramer K, Hänninen H (2003) Plant Development Models. Phenology: An Integrative Environmental Science, Schwartz MD (Ed.). Kluwer Academic Publishers: Amsterdam, Netherlands, 564 pp Delbart N, Kergoat L, Le Toan T, Lhermitte J, Picard G (2005) Determination of phenological dates in boreal regions using normalized difference water index. Remote Sens Environ 97:26–38 Doi H (2012) Response of the Morus bombycis growing season to temperature and its latitudinal pattern in Japan. Int J Biometeorol 56:895–902 Doi H, Takahashi M (2008) Latitudinal patterns in the phenological responses of leaf colouring and leaf fall to climate change in Japan. Global Ecol Biogeogr 17(4):556–561 Dorman JL, Sellers PJ (1989) A global climatology of albedo, roughness length and stomatal resistance for atmospheric general circulation models as represented by the simple biosphere model (SiB). J Appl Meteorol 28:833–855 Guyon D, Guillot M, Vitasse Y, Cardot H, Hagolle O, Delzon S, Wigneron J-P (2011) Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series. Remote Sens Environ 115:615–627 Hadano M, Nasahara KN, Motohka T, Noda HM, Murakami K, Hosaka M (2013) High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario. Ecol Evol 3(6):1798–1807 Ibáñez I, Primack RB, Miller-Rushing AJ, Ellwood E, Higuchi H, Lee SD, Kobori H, Silander JA (2010) Forecasting phenology under global warming. Phil Trans Royal Soc B 365:3247–3260 Jönsson P, Eklundh L (2002) Seasonality extraction by function fitting to time-series of satellite sensor data. IEEE Trans Geosci Remote Sens 40(8):1824–1832 Kikuzawa K (1995) The basis for variation in leaf longevity of plants. Vegetatio 121:89–100 Kikuzawa K, Onoda Y, Wright IJ, Reich PB (2013) Mechanisms underlying global temperature-related patterns in leaf longevity. Global Ecol Biogeogr 22(8):982–993 Körner C, Basler D (2010) Phenology under global warming. Science 327:1461–1462 Lim PO, Kim HJ, Nam HG (2007) Leaf senescence. Annu Rev Plant Physiol 58:115–136 Linderholm HW (2006) Growing season changes in the last century. Agric For Meteorol 137:1–14 Luo XZ, Chen XQ, Xu L, Myneni R, Zhu Z (2013) Assessing performance of NDVI and NDVI3g in monitoring leaf unfolding dates of the deciduous broadleaf forest in Northern China. Remote Sens 5:845–861 Matsumoto K (2010) Causal factors for spatial variation in long-term phenological trends in Ginkgo biloba L. in Japan. Int J Climatol 30(9):1280–1288 Matsumoto K, Ohta T, Irasawa M, Nakamura T (2003) Climate change and extension of the Ginkgo biloba L. growing season in Japan. Global Change Biol 9:1634–1642 Menzel A, Sparks TH, Estrella N, Koch E, Aasa A, Ahas R, Alm-Kubler K, Bissolli P, Braslavska O, Briede A, Chmielewski FM, Crepinsek Z, Curnel Y, Dahl A, Defila C, Donnelly A, Filella Y, Jatcza K, Mage F, Mestre A, Nordli O, Penuelas J, Pirinen P, Remisova V, Scheifinger H, Striz M, Susnik A, Van Vliet AJH, Wielgolaski FE, Zach S, Zust A (2006) European phenological response to climate change matches the warming pattern. Global Change Biol 12(10):1969–1976 Motohka T, Nasahara KN, Oguma H, Tsuchida S (2010) Applicability of green–red vegetation index for remote sensing of vegetation phenology. Remote Sens 2:2369–2387 Muraoka H, Ishii R, Nagai S, Suzuki R, Motohka T, Noda H, Hirota M, Nasahara KN, Oguma H, Muramatsu K (2012) Linking remote sensing and in situ ecosystem/biodiversity observations by “satellite ecology”. In: Nakano S, Nakashizuka T, Yahara T (eds) Biodiversity Observation Network in Asia-Pacific Region. Springer Verlag, Tokyo, pp 277–308 Nagai S, Nasahara KN, Muraoka H, Akiyama T, Tsuchida S (2010) Field experiments to test the use of the normalized difference vegetation index for phenology detection. Agric For Meteorol 150:152–160 Nagai S, Saitoh TM, Suzuki R, Nasahara KN, Lee W-K, Son Y, Muraoka H (2011) The necessity and availability of noise-free daily satellite-observed NDVI during rapid phenological changes in terrestrial ecosystems in East Asia. For Sci Tech 7:174–183 Nagai S, Saitoh TM, Kurumado K, Tamagawa I, Kobayashi K, Inoue T, Suzuki R, Gamo M, Muraoka H, Nasahara KN (2013) Detection of bio-meteorological year-to-year variation by using digital canopy surface images of a deciduous broad-leaved forest. SOLA 9:106–110 Natural Environmental Information GIS (1999) National Surveys on the natural environment (5th survey on vegetation). Biodiversity Center of Japan (http://www.biodic.go.jp/index_e.html) Ogawa-Onishi Y, Berry PM (2013) Ecological impacts of climate change in Japan: the importance of integrating local and international publications. Biol Conservation 157:361–371 Okuda H, Nakashima A, Kushida T, Nakao S, Yamada H, Yabu S (2003) Growth and phenology of Quercus serrata grown under different temperature conditions (in Japanese with English abstract). Environ Engineering Res 40:257–262 Onoda Y, Westoby M, Adler PB, Choong AMF, Clissold FJ, Cornelissen JHC, Diaz S, Dominy NJ, Elgart A, Enrico L, Fine PVA, Howard JJ, Jalili A, Kitajima K, Kurokawa H, McArthur C, Lucas PW, Markesteijn L, Perez-Harguindeguy N, Poorter L, Richards L, Santiago LS, Sosinski EE, Van Bael SA, Warton DI, Wright IJ, Wright SJ, Yamashita N (2011) Global patterns of leaf mechanical properties. Ecol Lett 14(3):301–312 Osada N, Oikawa S, Miyata R, Kamiyama C, Nagano S, Shiodera S, Tabata A, Ono K (2013) Within-species variation in leaf lifespan in relation to environmental factors: general trends and differences across species of different functional types (in Japanese with English abstract). Jpn J Ecol 63:19–36 Peñuelas J, Rutishauser T, Filella I (2009) Phenology feedbacks on climate change. Science 324:887–888 Piao SL, Cui MD, Chen AP, Wang XH, Ciais P, Liu J, Tang YH (2012) Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau. Agric For Meteorol 151(12):1599–1608 Polgar CA, Primack RB (2011) Leaf-out phenology of temperate woody plants: from trees to ecosystems. New Phytol 191:926–941 Reich PB, Walters MB, Ellsworth DS (1997) From tropics to tundra: global convergence in plant functioning. PNAS 94:13730–13734 Rosenthal S, Camm E (1997) Photosynthetic decline and pigment loss during autumn foliar senescence in western larch (Larix occidentalis). Tree Physiol 17:767–775 Schwartz MD, Reed BC, White MA (2002) Assessing satellite-derived start-of-season measures in the conterminous USA. Int J Climatol 22:1793–1805 Schwartz MD, Ahas R, Aasa A (2006) Onset of spring starting earlier across the Northern Hemisphere. Global Change Biol 12:343–351 Schwartz MD, Hanes JM, Liang L (2013) Comparing carbon flux and high-resolution spring phenological measurements in a northern mixed forest. Agric For Meteorol 169:136–147 Secretariat of the Convention on Biological Diversity (2010) Global Biodiversity Outlook 3. Montreal, 94 pp Shutova E, Wielgolaski FE, Karlsen SR, Makarova O, Berlina N, Filimonova T, Haraldsson E, Aspholm PE, Flø L, Høgda KA (2006) Growing seasons of Nordic mountain birch in northernmost Europe as indicated by long-term field studies and analyses of satellite images. Int J Biometeorol 51:155–166 Stöckli R, Vidale PL (2004) European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset. Int J Remote Sens 25:3303–3330 Studer S, Stöckli R, Appenzeller C, Vidale PL (2007) A comparative study of satellite and ground-based phenology. Int J Biometeorol 51:405–414 Suzuki K (2008) Hydro-atmospheric environment in the Japan Alps area (in Japanese with English abstract). Jpn J Ecol 58:175–182 Suzuki K (2013) Importance of meteorological observation in the Japanese Alps region (in Japanese with English abstract). J Geography 122(4):553–570 Tadaki Y, Kitamura H, Kanie K, Sano H, Shigematsu A, Ohtsu S (1994) Leaf opening and falling of Japanese larch at different altitudes (in Japanese with English abstract). Jpn J Ecol 44:305–314 Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ 8:127–150 Ueno K, Isono J, Imaizumi F, Inami A, Kanai R, Suzuki K, Kobayashi H, Tamagawa I, Saitoh TM, Kondo H (2013) Data archive of meteorological data created through the Japanese Alps inter-university cooperative project (in Japanese with English abstract). J Geography 122(4):638–650 van Ommen Kloeke AEE, Douma JC, Ordoñez JC, Reich PB, van Bodegom PM (2012) Global quantification of contrasting leaf life span strategies for deciduous and evergreen species in response to environmental conditions. Global Ecol Biogeogr 21(2):224–235 Viovy N, Arino O, Belward AS (1992) The best index slope extraction (BISE): a method for reducing noise in NDVI time-series. Int J Remote Sens 13:1585–1590 White MA, Thornton PE, Running SW (1997) A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochem Cycles 11(2):217–234 White MA, De Beurs KM, Didan K, Inouye DW, Richardson AD, Jensen OP, O’Keefe J, Zhang G, Nemani RR, Van Leeuwen WJD, Brown JF, De Wit A, Schaepman M, Lin X, Dettinger M, Bailey AS, Kimball J, Schwartz MD, Baldocchi DD, Lee JT, Lauenroth WK (2009) Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006. Global Change Biol 15:2335–2359 Wright IJ, Reich PB, Westoby M, Ackerly DD, Baruch Z, Bongers F, Cavender- Bares J, Chapin T, Cornelissen JHC, Diemer M, Flexas J, Garnier E, Groom PK, Gulias J, Hikosaka K, Lamont BB, Lee T, Lee W, Lusk C, Midgley JJ, Navas M-L, Niinemets U, Oleksyn J, Osada N, Poorter H, Poot P, Prior L, Pyankov VI, Roumet C, Thomas SC, Tjoelker MG, Veneklaas EJ, Villar R (2004) The worldwide leaf economics spectrum. Nature 428:821–827 Yamamoto M, Nakashima A, Matsumoto N, Yoshida N (2006) Growth and phenology of Acer rufinerve Sieb. et Zucc. grown under warmer conditions (in Japanese with English abstract). J Jpn Soc Revegetation Tech 32(1):112–117 Zhang XY, Goldberg MD (2011) Monitoring fall foliage coloration dynamics using time-series satellite data. Remote Sens Environ 115:382–391 Zhou L, Tucker CJ, Kaufmann RK, Slayback D, Shavanov NV, Myneni RB (2001) Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981–1999. J Geophys Res 106:20069–20083 Zhu W, Tian H, Xu X, Pan Y, Chen G, Lin W (2012) Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982–2006. Global Ecol Biogeogr 21:260–271