A generalized, bioclimatic index to predict foliar phenology in response to climate

By W. Jolly, R. Nemani, S. Running. 2004

461 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5e0c87f904ad82954ed4f4e9f0a0537baa5b05f4

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Citations in the corpus

Multi-element regulation of the tropical forest carbon cycle (2011, background): “…imposed by low temperatures, water limitation, and/or reduced sunlight will often be less severe in the tropics than in temperate latitudes (eg Jolly et al. 2005), although recent work highlights the possibility for increased thermal limitation of NPP as temperatures throughout the tropics…”
Remote sensing of larch phenological cycle and analysis of relationships with climate in the Alpine region (2010, methodology): “…at five of the monitoring sites were also estimated using the spring warming (SW – Chuine, 2000; Picard et al., 2005) and the growing season index (GSI – Jolly et al., 2005) phenological models, to provide an intercomparison of results achieved with satellite estimates and climate-driven models.”
Shifting plant phenology in response to global change. (2007, background): “One recent model estimated the importance of temperature, photoperiodandwateravailabilityinpredictingthephenologyof NDVI, and found that the relative importance of these three factors varied both seasonally and regionally [ 30 ].”
Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century. (2009, background): “…land-surface phenology have generally relied on simple functions of meteorological drivers, such as accumulated growing degree-days (de Beurs and Henebry 2005), minimum temperature, photoperiod, vapor pressure deficit (Jolly et al. 2005), or minimum relative humidity (Brown and de Beurs 2008).”
A fully multiple-criteria implementation of the Sobol' method for parameter sensitivity analysis (2012, background): “…also become subjective, in the sense that a standardized list of signature measures is not available for different applications (e.g., hydrological versus land surface models) and for different regions on Earth, driven by distinct climatic forcing [e.g., Nemani et al., 2003; Jolly et al., 2005].”
Budburst and leaf area expansion measured with a novel mobile camera system and simple color thresholding (2009, unknown): “Attempts are being made toaddnewtechnologytoscalingupofprocesses(Allenetal.,2007), to standardize such ground-based measurements by using a subset of species (NPN), and by modeling local climatic conditions ( Jolly et al., 2005 ).”
Savanna woody encroachment is widespread across three continents (2017, unknown): “We did this to test the effect of variables, specifically MAP, without confounding MAP and continent as the available rainfall range varies strongly between ccontinent (Lehmann et al. , 2011).”
Temperate and boreal forest tree phenology: from organ-scale processes to terrestrial ecosystem models (2016, background): “The design of leaf senescence models is accordingly more variable; however, temperature and/or photoperiod thresholds (White et al. 1997) or running means (Jolly et al. 2005) are regularly employed as triggers of leaf senescence in models (Table 1).”
Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France. (2009, unknown): “Jolly et al. (2005) proposed the use of a Growing Season Index, modulated at temperate latitudes by photoperiod and daily minimum temperature, to model the occurrence of leaf colouring for 7 years at the Harvard forest.”
Forest phenology and a warmer climate – growing season extension in relation to climatic provenance (2012, background): “, with GDD, chill hours, photoperiod, or a composite index (White et al., 1997; Botta et al., 2000; Arora & Boer, 2005; Jolly et al., 2005; Schwartz et al., 2006; Delpierre et al., 2009).”
Solar park microclimate and vegetation management effects on grassland carbon cycling (2016, background): “Given thresholds in plant–soil processes, different microclimate metrics should be analysed, including averages, minimum and maximum temperatures (Jolly et al 2005, Craine et al 2012), along with seasonal variation, encapsulated by measures of growing season length, and diurnal variation (Piao et…”