Abstract

Pecan (Carya illinoinensis) is an important nut tree species in its native areas in temperate and subtropical North America, and as an introduced crop in subtropical southeastern China as well. We used process-based modeling to assess the effects of climatic warming in southeastern China on the leaf-out phenology of pecan seedlings and the subsequent risk of “false springs,” i.e., damage caused by low temperatures occurring as a result of prematurely leafing out. In order to maximize the biological realism of the model used in scenario simulations, we developed the model on the basis of experiments explicitly designed for determining the responses modeled. The model showed reasonable internal accuracy when calibrated against leaf-out observations in a whole-tree chamber (WTC) experiment with nine different natural-like fluctuating temperature treatments. The model was used to project the timing of leaf-out in the period 2022–2099 under the warming scenarios RCP4.5 and RCP8.5 in southeastern China. Two locations in the main pecan cultivation area in the northern subtropical zone and one location south of the main cultivation area were addressed. Generally, an advancing trend of leaf-out was projected for all the three locations under both warming scenarios, but in the southern location, a delay was projected under RCP8.5 in many years during the first decades of the 21st century. In the two northern locations, cold damage caused by false springs was projected to occur once in 15–26 years at most, suggesting that pecan cultivation can be continued relatively safely in these two locations. Paradoxically, more frequent cold damage was projected for the southern location than for the two northern locations. The results for the southern location also differed from those for the northern locations in that more frequent cold damage was projected under the RCP4.5 warming scenario (once in 6 years) than under the RCP8.5 scenario (once in 11 years) in the southern location. Due to the uncertainties of the model applied, our conclusions need to be re-examined in an additional experimental study and further model development based on it; but on the basis of our present results, we do not recommend starting large-scale pecan cultivation in locations south of the present main pecan cultivation area in southeastern subtropical China.

Highlights

  • The timing of phenological events of trees in spring, such as leafing out of vegetative buds, is crucial for the survival and growth of trees (Fuchigami et al, 1982; Hänninen, 2016; Perezde-Lis et al, 2016)

  • We examined which one of the three hypotheses was projected to be realized in pecan seedlings grown in three locations in southeastern China: (1) leaf-out is delayed as a result of reduced chilling, (2) leaf-out is advanced to the extent of causing the increased occurrence of cold damage, and (3) leaf-out is advanced without increased incidence of cold damage

  • We introduced a process-based phenology model for the leafout of pecan seedlings grown in subtropical southeastern China

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Summary

Introduction

The timing of phenological events of trees in spring, such as leafing out of vegetative buds, is crucial for the survival and growth of trees (Fuchigami et al, 1982; Hänninen, 2016; Perezde-Lis et al, 2016). Air temperature is a major environmental factor regulating the spring phenology of trees in boreal and temperate zones. It has a dual role (Sarvas, 1972, 1974; Polgar and Primack, 2011). Bud burst is prevented only by environmental factors, typically low air temperatures, so that it takes prolonged exposure to relatively high forcing temperatures to cause the occurrence of visible phenological events, such as leafing out and flowering (Sarvas, 1972, 1974). Photoperiod has long been considered to regulate the spring phenology of trees, at least in some species (Wareing, 1953; Caffarra and Donnelly, 2011; Vitasse and Basler, 2013); more recently, further evidence for the role of photoperiod has been published (Basler and Körner, 2012; Fu et al, 2019; Meng et al, 2021)

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