As a sub-ecosystem of city ecosystem, urban vegetation is the principal natural factor of the city and it canadjust the environment of the city. The investigation of traditional urban greening mainly by combining artificialinvestigation with statistic method, needs a great amount of people and money, and data accuracy and timelinesscan’t satisfy city development. But by combining high resolution remote sensing data with GIS method, we canextract urban greening data and precisely countits spatial distribution. The paper combines remote sensing data andtakes Xiamen city as an examp le to extract urban vegetation feature data and make a relative analysis. The studyshowed that urban vegetation has lower diversity index, which only reaches 1. 14 in Xiamen. The whole vegetationlandscape doesnpt has app rop riate distribution pattern with 0. 65 of dominance and 0. 41 of evenness, there is aphenomena that less vegetation landscape controls the whole greening pattern. Based on the study, the advice wasbrought forward for vegetation plan in Xiamen.

用 Warburg呼吸器测定了鞭角华扁叶蜂滞育预蛹的呼吸代谢 (μL(Ο2)· mg-1· h-1)。结果表明,预蛹呼吸代谢速率呈 U -型曲线变化。预蛹呼吸代谢的特征是:代谢速率显著降低;底线延续很长时间,且在这一时期,代谢速率与温度无关。预蛹的呼吸商为 0.76,说明滞育期间脂类是主要的代谢底物。