Welcome to Chinese Journal of Ecology! Today is Share:

cje ›› 2012, Vol. 31 ›› Issue (09): 2217-2224.

• Articles • Previous Articles     Next Articles

Pollination biology and breeding system of Craigia yunnanensis in fragmented habitat.

GAO Ze-rui1, ZHANG Chang-qin2**, HAN Zhi-qiang1, LI Zhong1, WEI Jie1, SHI Hong-lin1   

  1. (1Yunnan Academy of Tobacco Science, Kunming 650106, China; 2Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650204, China)
  • Online:2012-09-10 Published:2012-09-10

Abstract: By the methods of field observation and artificial pollination, this paper studied the characteristics of pollination biology and breeding system of endangered species Craigia yunnanensis in the fragmented habitats of Fadou distribution area, Xichou County of Yunnan Province, Southwest China. Each cyme of the C. yunnanensis had 2-9 hermaphroditic flowers, and the lifespan of a single hermaphroditic flower was approximately 3-4 days. There existed certain temporal isolation (dichogamy) and spatial isolation (herkogamy) between the pistils and stamens of each hermaphroditic flower. The outcrossing index (OCI) was >4, and the ratio of pollen to ovule (P/O) was 1381±53. The most frequent and effective pollinator was Chrysomyia megacephala. The fruiting rate of geitonogamous pollination was rather low, and thus, the breeding system of C. yunnanensis was mainly belonged to outcrossing, with partial selfcompatibility, and the pollinator insects were essential. Both the fruit-setting ratio and the seed-bearing ratio under natural conditions were low as 56.67%±3.85% and 6.26%±0.75%, respectively, whereas artificial xenogamous pollination could significantly promote the fruit-setting and seed-bearing ratios (P< 0.01). In the fragmented habitats, the pollinators were lesser, and the pollination efficiency was lower, suggesting that habitat fragmentation affected the early stage reproduction process of C. yunnanensis plants.

Key words: forestry remote sensing, spectral mixture analysis, sequential Gaussian co-simulation, forest carbon density, Hunan Province.