植物种群生存力分析研究进展  

Advances in Plant Population Viability Analysis

作　　者：彭少麟[1] 汪殿蓓[1] 李勤奋[1] 

机构地区：[1]中国科学院华南植物研究所,广州510650

出　　处：《生态学报》2002年第12期2175-2185,共11页Acta Ecologica Sinica

基　　金：国家自然科学基金重大资助项目 (3 98993 70 ) ;广东省自然科学基金重大资助项目 (980 95 2 ) ;广东省自然科学基金团队资助项目 (0 0 3 0 3 1 )

摘　　要：对十多年来国外植物 PVA的研究进行了综合评述 :具体分析了影响植物种群生存力的各种随机性因子及确定性因子 ;总结了植物 PVA研究的方法步骤及采用的模拟模型 ;探讨了植物 PVA的难点、PVA对管理措施的评价效果 ;并提出对今后植物 PVA的研究展望。认为 PVA是研究濒危植物种群灭绝及评价管理或保护措施的有力工具 ;发展描述复杂种间关系的多物种的 PVA模型以及包含多个影响因子的 PVA应用模型是未来植物 PVA的研究方向。Studies on plant population viability analysis(PVA) since 1990s have been reviewed in this paper, which discusses: factors affecting plant population viability; methods and steps of plant PVA; plant PVA models; and challenges to plant PVAs. In addition, the accuracy and effectiveness of plant PVAs in management or conservation strategies, as well as their limitations and future development have been discussed. The factors affecting plant population viability can be divided into stochastic factors and deterministic factors. Stochastic factors include environmental stochasticity, demographic stochasticity, genetic stochasticity and natural catastrophes. Environmental stochasticity is the most common stochastic factor being incorporated into plant PVA models. Demographic stochasticity and natural catastrophes have been simulated in some plant PVA models. Though genetic stochasticity rarely appears in PVA models, it is an important factor in long term. Different from animals, a plant population is always associated with certain type of community, and influenced by some deterministic factors such as interspecific competitions, herbivores, mutualisms. For endangered plant populations, the loss or deterioration of habitat can be a fatal deterministic factor, which is irreversible. Methods and steps of plant PVA have been summarized in this paper, based on published plant PVAs. First step is the assessment of population growth trajectories, and identification of life history stages. Life history stages of a population can be classified into seed, seedling, juvenile and adult. Second step is to record demographic parameters, and measure and estimate stochastic factors. In third step, a population dynamic model will be built on project matrices. Then, the model is parameterized with transition matrices. In following step, the correlation of parameters is analyzed, the effect of factors is examined, and the model is developed. Finally, the model is simulated on computer. Results will be persistence prob

关 键 词：植物 种群生存力分析 研究进展 PVA模型 最小可存活种群 

分 类 号：Q948[生物学—植物学]