期刊
JOURNAL OF APPLIED ECOLOGY
卷 53, 期 1, 页码 112-119出版社
WILEY
DOI: 10.1111/1365-2664.12553
关键词
African mahogany; ecological harvesting impacts; ecosystem services; matrix models; non-timber forest products; plant population dynamics; transient elasticity analysis
资金
- National Institute for Mathematical and Biological Synthesis (NIMBioS) - National Science Foundation (NSF) [EF-0832858]
- College of Natural Sciences at the University of Hawaii at Manoa
- International Foundation for Science [IFS D-3694]
- Direct For Biological Sciences
- Div Of Biological Infrastructure [1300426] Funding Source: National Science Foundation
Exploitation of non-timber forest products can contribute to the alleviation of poverty. However, overexploitation can also lead to species decline. Studies on the sustainability of harvest often use stationary population growth rates to assess harvesting effects. For such frequently harvested systems, transient analysis can provide new insights into the response of populations to harvest. To test the prediction that the effect of harvest differs between transient and asymptotic phases, I used four years of demographic data to compare the impact of harvesting bark and foliage on the short- and long-term dynamics of African dry zone Mahogany Khaya senegalensis in West Africa. The effect of harvest was stronger in the short term than in the long term, particularly in the moist region. Patterns of transient elasticities also differed from the elasticities of long-term growth rates to perturbation of vital rates. Survival at early life stages was more important for short-term dynamics than for long-term population dynamics.Synthesis and applications. This study illustrates that using the asymptotic growth rates to assess the impact of harvest may underestimate the short-term effects of harvest. Short-term management plans based on the elasticity analysis of long-term growth rates will be suboptimal given the relative importance of the survival of non-reproductive stages for population dynamics in the near term. Managers should use results from elasticity analysis of both long-term and short-term population dynamics to develop more realistic management plans.
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