Seasonal germination and establishment of gorse

Ivens, G. W.

doi:10.30843/nzpp.1982.35.10537

Cited by 11 publications

(12 citation statements)

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“…Seedling density was lowest in the 6 -10 years age class. Ivens (1982) found only 130 seedlings m -2 under undisturbed gorse where the seed bank exceeded 10 000 seeds m -2 . Poor seedling germination under gorse plants has been attributed to shading and interception of rain by overhanging gorse plants ( Ivens 1982).…”

Section:    mentioning

confidence: 87%

“…Ivens (1982) found only 130 seedlings m -2 under undisturbed gorse where the seed bank exceeded 10 000 seeds m -2 . Poor seedling germination under gorse plants has been attributed to shading and interception of rain by overhanging gorse plants ( Ivens 1982). Recruitment is more common once gaps appear within the gorse thicket, through the senescence of individual gorse plants or large-scale disturbance, such as fire.…”

Section:    mentioning

confidence: 87%

“…1980;Ivens & Mlowe 1980). Ivens (1982) found the maximum density of gorse seedling (618 m -2 ) occurred in plots that were burnt, sown with grasses and grazed, but after 20 months only 6% of these seedlings remained. In plots bared by root raking, then oversown with grasses but not grazed, 17% of the initial seedlings survived 20 months.…”

Section:  mentioning

confidence: 96%

“…Hill & A.H. Gourlay, unpublished data) without major soil disturbance. Ivens (1982) measured emergence of seedlings in a cleared plot, and found that 25% of all seeds germinated or disappeared from the seed bank within 20 months, leaving a large, deeply buried, reserve capable of germinating later.…”

Section:     mentioning

confidence: 99%

“…The probability of a seed becoming a seedling, g , was difficult to estimate from the published data as few studies quantified the viable soil seed population and the proportion of these that become seedlings. Therefore, in line with the data presented in Ivens (1982) and studies of similar leguminous shrubs (Rees & Paynter 1997), we set the probability of a seed becoming a seedling at 0·03. The probability a site became suitable for gorse colonization after senescence, p so , was set at zero.…”

Section:    mentioning

confidence: 99%

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Large−scale disturbances, biological control and the dynamics of gorse populations

Rees

Hill

2001

Journal of Applied Ecology

327

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Summary 1.Simulation and analytical models were developed for gorse Ulex europaeus . The simulation model incorporated spatially local density-dependent competition, disturbance, asymmetric competition between seedlings and established plants, a seed bank, local seed dispersal, an age structured established plant population, and temporal variation in the probability of disturbance. The analytical models were simple approximations of the simulation. 2. The models extended our previously published model for Scotch broom Cytisus scoparius to include large-scale disturbances and possible management options, such as the use of fire, herbicides and oversowing with perennial grasses. Fire was assumed to influence established plant mortality, seed survival in the seed bank, and the probability of germination. 3. We reviewed published data on the demography of gorse in New Zealand, the current management techniques, and the ongoing biological control programme. 4. Over a wide range of biologically reasonable parameter values, the analytical models accurately predicted the outcome of the simulations. The analytical models worked well, providing gorse occupied a high proportion of the available sites and large-scale disturbances did not occur too frequently. 5. The potential impact of seed-feeding biological control agents on gorse abundance was assessed, using the models, for several environmental and management scenarios. In particular, we explored how large-scale disturbance, such as fire and herbicide application, influences the outcome of biological control. 6. The success of a biological control programme was found to depend critically on the frequency and intensity of disturbance, whether disturbed sites became suitable for recruitment, and the effects of disturbance on germination and seed mortality. 7. The models highlight the need to manage recruitment opportunities carefully in order to maximize the effect of biological control agents. The models also indicate that details of plant population biology can have a profound effect on the success of any management strategy.

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Section:    mentioning

confidence: 87%

Section:    mentioning

confidence: 87%