A modelling approach for evaluating phenology and adaptation of two congeneric weeds (Bidens frondosa and Bidens tripartita)
Francesco Danuso,
Giuseppe Zanin and
Ivan Sartorato
Ecological Modelling, 2012, vol. 243, issue C, 33-41
Abstract:
The exotic species Bidens frondosa is rapidly spreading in northern Italian arable fields, while Bidens tripartita, a native congeneric, shows less invasive capacity. To characterise and model the phenology of the two species, a two-year study was conducted involving sowings at 15-day intervals between March and August. The length of the sowing-emergence phase was well described by a simple thermal model, with a base temperature of 4.5°C, for both species. A multiplicative photothermal model was found to be the best for the emergence-flowering phase. B. frondosa resulted as being less macrothermal and more sensitive to photoperiod. The flowering-maturity phase lasted for 30–32 days, on average, and was well described by a model based on soil water availability: this phase shortens when there is a lack of water, particularly in B. tripartita. The more relevant differences between the two species seem to be related to the vegetative phase length, which varied from 150 to 46 days and from 123 to 42 days in B. frondosa and B. tripartita, respectively. Thanks to the high elasticity of its vegetative phase, B. frondosa can grow taller than B. tripartita and acquire higher competitivity and seed production potential, both relevant factors in determining the success of a species.
Keywords: Adaptation; Biological invasion; Model; Phenology (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380012002815
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:243:y:2012:i:c:p:33-41
DOI: 10.1016/j.ecolmodel.2012.06.009
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().