The rise of phenology with climate change: an evaluation of IJB publications
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A. Donnelly | R. Yu | R. Yu
[1] Reply to communications by Fu et al. international journal of biometeorology , 2016, International Journal of Biometeorology.
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[5] R. Petacchi,et al. Towards understanding temporal and spatial dynamics of Bactrocera oleae (Rossi) infestations using decade-long agrometeorological time series , 2016, International Journal of Biometeorology.
[6] J. Bańbura,et al. Effects of extreme thermal conditions on plasticity in breeding phenology and double-broodedness of Great Tits and Blue Tits in central Poland in 2013 and 2014 , 2016, International Journal of Biometeorology.
[7] R. Juknys,et al. Response of deciduous trees spring phenology to recent and projected climate change in Central Lithuania , 2016, International Journal of Biometeorology.
[8] A. Menzel,et al. Can we detect a nonlinear response to temperature in European plant phenology? , 2016, International Journal of Biometeorology.
[9] Xiaoyang Zhang,et al. Interannual variations in spring phenology and their response to climate change across the Tibetan Plateau from 1982 to 2013 , 2016, International Journal of Biometeorology.
[10] S. Fernández-Rodríguez,et al. Regional forecast model for the Olea pollen season in Extremadura (SW Spain) , 2016, International Journal of Biometeorology.
[11] Adam J. Mathews,et al. Potential effect of atmospheric warming on grapevine phenology and post-harvest heat accumulation across a range of climates , 2016, International Journal of Biometeorology.
[12] H. Quénol,et al. Regional climate change scenarios applied to viticultural zoning in Mendoza, Argentina , 2016, International Journal of Biometeorology.
[13] B. Czúcz,et al. Flowering phenological changes in relation to climate change in Hungary , 2016, International Journal of Biometeorology.
[14] T. Sparks,et al. The phenology of winter rye in Poland: an analysis of long-term experimental data , 2016, International Journal of Biometeorology.
[15] Jouni Karhu,et al. Seventeen-year trends in spring and autumn phenophases of Betula pubescens in a boreal environment , 2016, International Journal of Biometeorology.
[16] C. Randow,et al. Evolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2 , 2016, International Journal of Biometeorology.
[17] Seung Hee Kim,et al. Dynamically downscaling predictions for deciduous tree leaf emergence in California under current and future climate , 2016, International Journal of Biometeorology.
[18] The North Atlantic Oscillation system and plant phenology , 2016, International Journal of Biometeorology.
[19] Shouzhen Liang,et al. Urban spring phenology in the middle temperate zone of China: dynamics and influence factors , 2016, International Journal of Biometeorology.
[20] M. D. Schwartz,et al. An observation-based progression modeling approach to spring and autumn deciduous tree phenology , 2016, International Journal of Biometeorology.
[21] E. Denny,et al. Estimating the onset of spring from a complex phenology database: trade-offs across geographic scales , 2016, International Journal of Biometeorology.
[22] Federica Gaiotti,et al. The Book of Vinesprouts of Kőszeg (Hungary): a documentary source for reconstructing spring temperatures back to the eighteenth century , 2016, International Journal of Biometeorology.
[23] R. Suzuki,et al. Review: advances in in situ and satellite phenological observations in Japan , 2015, International Journal of Biometeorology.
[24] Seasonal differences in climate in the Chianti region of Tuscany and the relationship to vintage wine quality , 2015, International Journal of Biometeorology.
[25] M. Migliavacca,et al. Five years of phenological monitoring in a mountain grassland: inter-annual patterns and evaluation of the sampling protocol , 2015, International Journal of Biometeorology.
[26] J. Junk,et al. Assessing climate change impacts on the rape stem weevil, Ceutorhynchus napi Gyll., based on bias- and non-bias-corrected regional climate change projections , 2015, International Journal of Biometeorology.
[27] R. Pérez-Badia,et al. Models for forecasting the flowering of Cornicabra olive groves , 2015, International Journal of Biometeorology.
[28] Xiaoqiu Chen,et al. Temperature and geographic attribution of change in the Taraxacum mongolicum growing season from 1990 to 2009 in eastern China’s temperate zone , 2015, International Journal of Biometeorology.
[29] Kijong Cho,et al. Predicting temporal shifts in the spring occurrence of overwintered Scotinophara lurida (Hemiptera: Pentatomidae) and rice phenology in Korea with climate change , 2015, International Journal of Biometeorology.
[30] Xiaoguang Yang,et al. Effects of changing climate and cultivar on the phenology and yield of winter wheat in the North China Plain , 2015, International Journal of Biometeorology.
[31] J. Southworth,et al. Comparison of the driving forces of spring phenology among savanna landscapes by including combined spatial and temporal heterogeneity , 2015, International Journal of Biometeorology.
[32] M. Keatley,et al. Environmental effects on germination phenology of co-occurring eucalypts: implications for regeneration under climate change , 2015, International Journal of Biometeorology.
[33] Gregory V. Jones,et al. Partitioning the grapevine growing season in the Douro Valley of Portugal: accumulated heat better than calendar dates , 2015, International Journal of Biometeorology.
[34] A. Donnelly,et al. Trophic level responses differ as climate warms in Ireland , 2015, International Journal of Biometeorology.
[35] L. Kajfez-Bogataj,et al. Do variations in leaf phenology affect radial growth variations in Fagus sylvatica? , 2015, International Journal of Biometeorology.
[36] F. Biondi,et al. Plant-water relationships in the Great Basin Desert of North America derived from Pinus monophylla hourly dendrometer records , 2015, International Journal of Biometeorology.
[37] Quansheng Ge,et al. Geographical pattern in first bloom variability and its relation to temperature sensitivity in the USA and China , 2015, International Journal of Biometeorology.
[38] S. Rossi. Local adaptations and climate change: converging sensitivity of bud break in black spruce provenances , 2015, International Journal of Biometeorology.
[39] R. Colombo,et al. Models to predict the start of the airborne pollen season , 2015, International Journal of Biometeorology.
[40] Jian Huang,et al. Effects of climate change on phenological trends and seed cotton yields in oasis of arid regions , 2015, International Journal of Biometeorology.
[41] Jian Huang,et al. Effects of climate change on overwintering pupae of the cotton bollworm, Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae) , 2015, International Journal of Biometeorology.
[42] Theresa M. Crimmins,et al. Assessing accuracy in citizen science-based plant phenology monitoring , 2015, International Journal of Biometeorology.
[43] F. Chmielewski,et al. Climatic warming above the Arctic Circle: are there trends in timing and length of the thermal growing season in Murmansk Region (Russia) between 1951 and 2012? , 2015, International Journal of Biometeorology.
[44] V. Dose,et al. Nut crop yield records show that budbreak-based chilling requirements may not reflect yield decline chill thresholds , 2015, International Journal of Biometeorology.
[45] Fulu Tao,et al. Dynamic variability of the heading–flowering stages of single rice in China based on field observations and NDVI estimations , 2015, International Journal of Biometeorology.
[46] C. Galán,et al. Phenological models to predict the main flowering phases of olive (Olea europaea L.) along a latitudinal and longitudinal gradient across the Mediterranean region , 2015, International Journal of Biometeorology.
[47] Shanlei Sun,et al. Effects of climate change on the economic output of the Longjing-43 tea tree, 1972–2013 , 2015, International Journal of Biometeorology.
[48] Y. Aono. Cherry blossom phenological data since the seventeenth century for Edo (Tokyo), Japan, and their application to estimation of March temperatures , 2015, International Journal of Biometeorology.
[49] M. D. Schwartz,et al. Long-term herbarium records reveal temperature-dependent changes in flowering phenology in the southeastern USA , 2015, International Journal of Biometeorology.
[50] A. Kalvāns,et al. Forecasting plant phenology: evaluating the phenological models for Betula pendula and Padus racemosa spring phases, Latvia , 2015, International Journal of Biometeorology.
[51] Jijun Meng,et al. Determining the relative importance of climatic drivers on spring phenology in grassland ecosystems of semi-arid areas , 2015, International Journal of Biometeorology.
[52] S. Mulder,et al. The how and why of societal publications for citizen science projects and scientists , 2014, International Journal of Biometeorology.
[53] J. Bańbura,et al. Extreme weather event in spring 2013 delayed breeding time of Great Tit and Blue Tit , 2014, International Journal of Biometeorology.
[54] Liang Liang,et al. A glossary for biometeorology , 2014, International Journal of Biometeorology.
[55] Nabaz R. Khwarahm,et al. Exploring the spatio-temporal relationship between two key aeroallergens and meteorological variables in the United Kingdom , 2014, International Journal of Biometeorology.
[56] Katsunori Tanaka,et al. Inter-annual variation in the response of leaf-out onset to soil moisture increase in a teak plantation in northern Thailand , 2014, International Journal of Biometeorology.
[57] Patrick J. Guertin,et al. Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications , 2014, International Journal of Biometeorology.
[58] Y. Vitasse,et al. Chilling and heat requirements for leaf unfolding in European beech and sessile oak populations at the southern limit of their distribution range , 2014, International Journal of Biometeorology.
[59] Flavia Toloni,et al. Natural history museum collections provide information on phenological change in British butterflies since the late-nineteenth century , 2014, International Journal of Biometeorology.
[60] J. Fitchett,et al. Increasing frost risk associated with advanced citrus flowering dates in Kerman and Shiraz, Iran: 1960–2010 , 2014, International Journal of Biometeorology.
[61] P. Bogawski,et al. Trends in atmospheric concentrations of weed pollen in the context of recent climate warming in Poznań (Western Poland) , 2014, International Journal of Biometeorology.
[62] P. Adamík,et al. Long-term temporal changes in central European tree phenology (1946−2010) confirm the recent extension of growing seasons , 2014, International Journal of Biometeorology.
[63] Katharine L. Gerst,et al. Phenology research for natural resource management in the United States , 2014, International Journal of Biometeorology.
[64] Carlos Arturo Aguirre-Salado,et al. Tree growth response to ENSO in Durango, Mexico , 2014, International Journal of Biometeorology.
[65] R. Suzuki,et al. Spatio-temporal distribution of the timing of start and end of growing season along vertical and horizontal gradients in Japan , 2014, International Journal of Biometeorology.
[66] Li Zhang,et al. Assessing phenological change and climatic control of alpine grasslands in the Tibetan Plateau with MODIS time series , 2014, International Journal of Biometeorology.
[67] M. D. Schwartz,et al. Testing a growth efficiency hypothesis with continental-scale phenological variations of common and cloned plants , 2014, International Journal of Biometeorology.
[68] C. Cooper,et al. Is there a weekend bias in clutch-initiation dates from citizen science? Implications for studies of avian breeding phenology , 2014, International Journal of Biometeorology.
[69] Q. Tang,et al. Spatiotemporal analysis of ground-based woody plant leafing in response to temperature in temperate eastern China , 2014, International Journal of Biometeorology.
[70] Elizabeth R. Ellwood,et al. Cranberry flowering times and climate change in southern Massachusetts , 2014, International Journal of Biometeorology.
[71] M. D. Schwartz,et al. Separating temperature from other factors in phenological measurements , 2014, International Journal of Biometeorology.
[72] E. Luedeling,et al. Chilling and heat requirements for flowering in temperate fruit trees , 2014, International Journal of Biometeorology.
[73] Alison Donnelly,et al. The role of citizen science in monitoring biodiversity in Ireland , 2014, International Journal of Biometeorology.
[74] L. Webb,et al. Challenges in predicting climate change impacts on pome fruit phenology , 2014, International Journal of Biometeorology.
[75] G. Vourlitis,et al. Ground and remote sensing-based measurements of leaf area index in a transitional forest and seasonal flooded forest in Brazil , 2014, International Journal of Biometeorology.
[76] Crystal B. Schaaf,et al. Tree leaf out response to temperature: comparing field observations, remote sensing, and a warming experiment , 2014, International Journal of Biometeorology.
[77] Matthew O. Jones,et al. Comparing land surface phenology derived from satellite and GPS network microwave remote sensing , 2014, International Journal of Biometeorology.
[78] M. Trnka,et al. Phenological differences among selected residents and long-distance migrant bird species in central Europe , 2014, International Journal of Biometeorology.
[79] Fifteen-year phenological plant species and meteorological trends in central Italy , 2014, International Journal of Biometeorology.
[80] D. Gray. Unwanted spatial bias in predicting establishment of an invasive insect based on simulated demographics , 2014, International Journal of Biometeorology.
[81] F. Chmielewski,et al. Models for the beginning of sour cherry blossom , 2014, International Journal of Biometeorology.
[82] B. Karlsson. Extended season for northern butterflies , 2014, International Journal of Biometeorology.
[83] C. Galán,et al. Heat accumulation period in the Mediterranean region: phenological response of the olive in different climate areas (Spain, Italy and Tunisia) , 2014, International Journal of Biometeorology.
[84] A. Donnelly,et al. Spatial heterogeneity in the timing of birch budburst in response to future climate warming in Ireland , 2014, International Journal of Biometeorology.
[85] A. Menzel,et al. Frequency of inversions affects senescence phenology of Acer pseudoplatanus and Fagus sylvatica , 2014, International Journal of Biometeorology.
[86] M. Keatley,et al. Environmental effects on growth phenology of co-occurring Eucalyptus species , 2014, International Journal of Biometeorology.
[87] Quansheng Ge,et al. The spatial pattern of leaf phenology and its response to climate change in China , 2014, International Journal of Biometeorology.
[88] Q. Ge,et al. Simulating changes in the leaf unfolding time of 20 plant species in China over the twenty-first century , 2014, International Journal of Biometeorology.
[89] Xiaoqiu Chen,et al. Modeling greenup date of dominant grass species in the Inner Mongolian Grassland using air temperature and precipitation data , 2014, International Journal of Biometeorology.
[90] Rebecca E. Forkner. Simulated herbivory advances autumn phenology in Acer rubrum , 2014, International Journal of Biometeorology.
[91] M. Crimmins,et al. Within-season flowering interruptions are common in the water-limited Sky Islands , 2014, International Journal of Biometeorology.
[92] L. Morellato,et al. Anthropogenic edges, isolation and the flowering time and fruit set of Anadenanthera peregrina, a cerrado savanna tree , 2014, International Journal of Biometeorology.
[93] E. Woehler,et al. Climate as a driver of phenological change in southern seabirds , 2014, International Journal of Biometeorology.
[94] T. Davies,et al. A phylogenetic comparative study of flowering phenology along an elevational gradient in the Canadian subarctic , 2014, International Journal of Biometeorology.
[95] Estimation of wine characteristics using a modified Heliothermal Index in Baden-Württemberg, SW Germany , 2014, International Journal of Biometeorology.
[96] B. Bates,et al. Responses of grape berry anthocyanin and titratable acidity to the projected climate change across the Western Australian wine regions , 2013, International Journal of Biometeorology.
[97] Jonas Dierenbach,et al. The plant phenological online database (PPODB): an online database for long-term phenological data , 2013, International Journal of Biometeorology.
[98] O. Sonnentag,et al. Climate change, phenology, and phenological control of vegetation feedbacks to the climate system , 2013 .
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[101] S. Orlandini,et al. Mediterranean climate patterns and wine quality in North and Central Italy , 2013, International Journal of Biometeorology.
[102] Quansheng Ge,et al. Multiple phenological responses to climate change among 42 plant species in Xi’an, China , 2013, International Journal of Biometeorology.
[103] Jason R. Courter,et al. Weekend bias in Citizen Science data reporting: implications for phenology studies , 2013, International Journal of Biometeorology.
[104] C. Hervás-Martínez,et al. Year clustering analysis for modelling olive flowering phenology , 2013, International Journal of Biometeorology.
[105] C. Beierkuhnlein,et al. Recurring weather extremes alter the flowering phenology of two common temperate shrubs , 2013, International Journal of Biometeorology.
[106] H. Lappalainen,et al. Plant phenological records in northern Finland since the 18th century as retrieved from databases, archives and diaries for biometeorological research , 2013, International Journal of Biometeorology.
[107] T. Sparks,et al. Pollen season and climate: Is the timing of birch pollen release in the UK approaching its limit? , 2013, International Journal of Biometeorology.
[108] L. Webb,et al. Evaluation of recent trends in Australian pome fruit spring phenology , 2013, International Journal of Biometeorology.
[109] A. Miller‐Rushing,et al. One man, 73 years, and 25 species. Evaluating phenological responses using a lifelong study of first flowering dates , 2013, International Journal of Biometeorology.
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[111] M. Wang,et al. Observed changes in winter wheat phenology in the North China Plain for 1981–2009 , 2013, International Journal of Biometeorology.
[112] Eike Luedeling,et al. Flowering phenology of tree rhododendron along an elevation gradient in two sites in the Eastern Himalayas , 2013, International Journal of Biometeorology.
[113] M. Blanke,et al. A comprehensive overview of the spatial and temporal variability of apple bud dormancy release and blooming phenology in Western Europe , 2013, International Journal of Biometeorology.
[114] Eike Luedeling,et al. Identification of chilling and heat requirements of cherry trees—a statistical approach , 2012, International Journal of Biometeorology.
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[116] T. Sparks,et al. The phenology of Rubus fruticosus in Ireland: herbarium specimens provide evidence for the response of phenophases to temperature, with implications for climate warming , 2012, International Journal of Biometeorology.
[117] I. Park. Digital herbarium archives as a spatially extensive, taxonomically discriminate phenological record; a comparison to MODIS satellite imagery , 2012, International Journal of Biometeorology.
[118] Vegetative and reproductive phenology of some multipurpose tree species in the homegardens of Barak Valley, northeast India , 2012, International Journal of Biometeorology.
[119] Lauren B. Buckley,et al. Footprints of climate change in US national park visitation , 2012, International Journal of Biometeorology.
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[122] Y. Shigeta,et al. The phenology of cherry blossom (Prunus yedoensis “Somei-yoshino”) and the geographic features contributing to its flowering , 2012, International Journal of Biometeorology.
[123] M. Sepp,et al. Correlations between the modelled potato crop yield and the general atmospheric circulation , 2012, International Journal of Biometeorology.
[124] F. Stampar,et al. The response of Corylus avellana L. phenology to rising temperature in north-eastern Slovenia , 2012, International Journal of Biometeorology.
[125] A. Roberts. Comparison of regression methods for phenology , 2012, International Journal of Biometeorology.
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[128] Annette Menzel,et al. The influence of altitude and urbanisation on trends and mean dates in phenology (1980–2009) , 2012, International Journal of Biometeorology.
[129] Chenghu Zhou,et al. Climate-associated changes in spring plant phenology in China , 2012, International Journal of Biometeorology.
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[135] Stein Rune Karlsen,et al. Plant phenological variation related to temperature in Norway during the period 1928–1977 , 2011, International journal of biometeorology.
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