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本文运用鸡公山科学考察资料及1991年森林资源清查资料,采用森林材积源生物量推算方法研究了鸡公山森林生物量及其净生物量的现状,并对生物量的动态变化规律及其宏观价值进行模拟评估。研究结果表明:1991年鸡公山森林生物量为20·1×104t,平均森林生物量为70t/hm2,略低于全国平均水平(77·4t/hm2);单位面积的净生产力为14·31t/(hm2·年),鸡公山自然保护区森林的总净生产力4·1×104t/年。从总体上看,鸡公山的森林以中幼龄林为主体,马尾松、杉木和栎类林木的平均生物量较低,分别为35·7Mg/hm2、46·2Mg/hm2和64·8Mg/hm2,而次生阔杂林的平均生物量相对较高,为124·2Mg/hm2。马尾松林、杉木和栎类林的平均生物量较低,这一方面说明这类林木的质量较差,幼龄林和残次林较多,但从另一个侧面也反映了如果对现有森林加以更好的抚育管理,鸡公山森林还有很大的潜力。鸡公山森林生物量的动态模拟结果表明,鸡公山的生物量有巨大增长潜力,加强保护,生物量可从1991年的20×104t增加到2030年的36×104t。根据能值理论与方法对生物量的宏观经济价值评估,生物量的宏观经济价值也会从1991年的5552×104美元增加到2030年的10000×104美元。
In this paper, using Jigongshan scientific investigation data and 1991 forest inventory information, using forest biomass source biomass estimation method to study the status of Jigongshan forest biomass and its net biomass, and dynamic changes of biomass and its Macroeconomic valuation simulation. The results showed that the total biomass of Jigong Mountain in 1991 was 20 · 1 × 104t and the average forest biomass was 70t / hm2, slightly lower than the national average of 77 · 4t / hm2. The net productivity per unit area was 14 · 31t / (hm2 · year), total net productivity of Jigongshan Nature Reserve forest is 4.1 × 104t / year. Overall, Jigong Mountain’s forests are dominated by medium-aged and young trees, and the biomass of Pinus massoniana, Chinese fir and oak forests is relatively low at 35.7 Mg / hm2, 46.2 Mg / hm2 and 64.8 Mg respectively / hm2, while the average biomass of the secondary broad-leaved forest is relatively high, 124 · 2Mg / hm2. The average biomass of Pinus massoniana, Cunninghamia lanceolata and Quercus mongolica forests is relatively low, which indicates that the quality of these forests is poor, while the number of young and secondary forest is higher. However, on the other hand, To be better nurturing management, Jigongshan forest still has great potential. Dynamic simulation results of forest biomass in Jigong Mountain show that the biomass of Jigongshan has tremendous growth potential and protection. The biomass can increase from 20 × 104t in 1991 to 36 × 104t in 2030. According to the macroeconomic valuation of biomass by emergy theory and method, the macroeconomic value of biomass will increase from 5552 × 104 in 1991 to 10000 × 104 in 2030.