Understanding the effects of weather parameters on the population dynamics of an endangered geophyte supports monitoring efficiency

• Published in: Scientific reports Vol. 14; no. 1; p. 25974
• Main Authors: Kiss, Réka, Lukács, Katalin, Godó, Laura, Tóth, Ágnes, Miglécz, Tamás, Szél, László, Demeter, László, Deák, Balázs, Valkó, Orsolya
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 29.10.2024; Nature Publishing Group
• Subjects: 631/158/1745; 704/158/672; Abiotic factors; Annual variations; Cold springs; Endangered species; Flowering; Fruits; Humanities and Social Sciences; Life cycles; multidisciplinary; Population dynamics; Population number; Protected species; Science; Science (multidisciplinary); Weather; Dormancy; Temperature; Precipitation; Phenology; Monitoring
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-76942-5

Due to their complex life cycles geophytes are often neglected in conservation programs, despite they are important elements of early spring communities. Their life cycle is strongly affected by weather parameters, i.e. temperature, precipitation, and light, but the effects of these parameters are often contradictory and show high intra-annual variability even within species. Deeper knowledge about the abiotic factors affecting the population dynamics of geophytes is needed to support the designation of effective conservation plans. We aimed to explore the link between weather parameters and population dynamics of Colchicum bulbocodium , an endangered and strictly protected geophyte. We monitored three life cycle stages (flowering, growing, fruiting) of 1069 individuals in permanent plots for six consecutive years. Our results showed that life cycle of C. bulbocodium was strongly related to the actual weather parameters; the lagged effect of the previous year was weaker. Increasing temperature and lack of cold periods had negative effect on all life stages. We highlighted that population estimation based on the number of flowering individuals in a single year can underestimate population size by 40–83%. Monitoring in years following wet and cold springs and cold winters could increase the accuracy of population estimations of the flowering individuals.