Plant Diversity ›› 2024, Vol. 46 ›› Issue (04): 502-509.DOI: 10.1016/j.pld.2024.05.005

• Articles • Previous Articles    

The mid-domain effect in flowering phenology

Yanjun Dua, Rongchen Zhangb, Xinran Tanga, Xinyang Wangc, Lingfeng Maod, Guoke Chene, Jiangshan Laid, Keping Mae   

  1. a. School of Tropical Agriculture and Forestry (School of Agricultural and Rural Affairs, School of Rural Revitalization), Hainan University, Haikou 570228, China;
    b. HNU-ASU Joint International Tourism College, Hainan University, Haikou 570228, China;
    c. School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200062, China;
    d. College of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China;
    e. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
  • Received:2024-02-29 Revised:2024-05-20 Published:2024-07-29
  • Contact: Yanjun Du,E-mail:yanjun.du@hainanu.edu.cn
  • Supported by:
    YJD was supported by the National Natural Science Foundation of China (Grant number 42261004). LFM was supported by the Jiangsu Social Development Project (BE2022792).

Abstract: The timing of flowering is an important driver of species distribution and community assembly patterns. However, we still have much to learn about the factors that shape flowering diversity (i.e., number of species flowering per period) in plant communities. One potential explanation of flowering diversity is the mid-domain effect, which states that geometric constraints on species ranges within a bounded domain (space or time) will yield a mid-domain peak in diversity regardless of ecological factors. Here, we determine whether the mid-domain effect explains peak flowering time (i.e., when most species of communities are flowering) across China. We used phenological data of 16,267 herbaceous and woody species from the provincial Flora in China and species distribution data from the Chinese Vascular Plant Distribution Database to determine relationships between the observed number of species flowering and the number of species flowering as predicted by the mid-domain effect model, as well as between three climatic variables (mean minimum monthly temperature, mean monthly precipitation, and mean monthly sunshine duration). We found that the mid-domain effect explained a significant proportion of the temporal variation in flowering diversity across all species in China. Further, the mid-domain effect explained a greater proportion of variance in flowering diversity at higher latitudes than at lower latitudes. The patterns of flowering diversity for both herbaceous and woody species were related to both the mid-domain effect and environmental variables. Our findings indicate that including geometric constraints in conjunction with abiotic and biotic predictors will improve predictions of flowering diversity patterns.

Key words: Flowering diversity, Functional biogeography, Latitudinal gradient, Macroecology, Macrophenology, Null model