Population life-cycle and stand structure in dense and open stands of the introduced tall herb Heracleum mantegazzianum
2007 (English)In: Biological Invasions, ISSN 1387-3547, E-ISSN 1573-1464, Vol. 9, no 7, 799-811 p.Article in journal (Refereed) Published
Populations of the introduced Heracleum mantegazzianum consist of dense central stands, which gradually give way to open stands towards the margins. To analyse whether open stands are due to unsuitable conditions or represent the invading front for further spread, we studied life-cycle, population dynamics, stand structure and soil conditions of open and dense stands over two transition periods. Populations decreased during the first interval but increased after the extremely dry and warm summer of 2003 during the second interval. Open stands had shorter generation times, lower height, smaller proportions of small individuals and were less in equilibrium with the environment than dense stands. In open stands, growth to higher stages was most important, while in dense stands delayed development (self-loops) had a strong effect on population growth; stasis and fecundity contributed most to the difference in lambda between stand types. By petiole extension H. mantegazzianum may raise its leaves just above the resident vegetation. Therefore, younger stages develop faster in open stands, whereas strong competition by conspecific adults leads to longer generation times and a higher proportion of small individuals in dense stands. Disturbance due to extreme climatic conditions in summer 2003 equalised population dynamics of both stand types. Life-cycle variation between stand types makes it difficult to infer simple management rules. However, our data suggest that small and/or open stands of H. mantegazzianum may eventually serve as initials for further spread after land-use changes, whereas dense stands are stable and may represent sources of propagules.
Place, publisher, year, edition, pages
2007. Vol. 9, no 7, 799-811 p.
Apiaceae, elasticity, intraspecific competition, life table response experiment (LTRE), loop analysis, management, matrix models, vital rates
Research subject Biology
IdentifiersURN: urn:nbn:se:kau:diva-37737DOI: 10.1007/s10530-006-9082-9ISI: 000249443400006OAI: oai:DiVA.org:kau-37737DiVA: diva2:857174