1901—2008年小兴安岭森林NPP估算

doi:10.11707/j.1001-7488.20141003

林业科学 ›› 2014, Vol. 50 ›› Issue (10): 16-23.doi: 10.11707/j.1001-7488.20141003

1901—2008年小兴安岭森林NPP估算

于颖, 范文义, 杨曦光

东北林业大学哈尔滨 150040

收稿日期:2013-07-11 修回日期:2014-08-25 出版日期:2014-10-25 发布日期:2014-11-12
通讯作者: 范文义
基金资助:
"十二五"国家科技支撑项目(2011BAD37B01);中央高校基本科研业务费(DL13BAX09);中央高校基本科研业务费(DL13BAX07)。

Estimation of Forest NPP in Xiaoxing'an Mountains in 1901—2008

Yu Ying, Fan Wenyi, Yang Xiguang

Northeast Forestry University Harbin 150040

Received:2013-07-11 Revised:2014-08-25 Online:2014-10-25 Published:2014-11-12

摘要/Abstract

摘要：

根据黑龙江省森林收获表、生物量相容性相对生长方程及叶片与细根周转率数据,估算小兴安岭林区森林主要树种净初级生产力(NPP)与年龄的关系,并结合森林生态系统碳循环模型InTEC模型和NPP与年龄的关系,估算1901—2008年间小兴安岭森林NPP的时空变化。结果表明: 幼龄林NPP随林分年龄的增长而迅速增加,进入成熟年龄NPP达到最大,随后逐渐减少,直至达到稳定值; 小兴安岭人工林的NPP大于天然林,天然针叶林的固碳能力大于天然阔叶林与针阔混交林; 1901—2008年间小兴安岭森林NPP整体呈现增加趋势,与工业前期1901年相比, 2008年小兴安岭森林NPP增加了30%; 森林NPP受海拔影响,呈现出中部偏高、北部与南部偏低的趋势。

关键词: 净初级生产力(NPP), 林分年龄, InTEC模型, 气候

Abstract:

In this study, net primary productiviby (NPP) data at various stand ages for eight major forest types in Xiaoxing'an Mountains in northeast China were estimated from stand yield tables with consideration of the total biomass increment and foliage and fine-root turnovers. Then, we estimated the spatial and temporal changes in NPP according to NPP-age relationships and InTEC model. The results indicated that the forest NPP increased quickly at young ages, reached the maximum value at middle age (10-40 years old), and then decreased to a relative stable level at old ages. NPP of planted stands in Xiaoxing'an Mountains was larger than the natural forest. Natural coniferous forest can accumulated more carbon than natural broad-leaved mixed forest and natural coniferous and broad-leaved mixed forest. Forest NPP in Xiaoxing'an Mountains in 1901-2008 presented an increase trend, NPP in 2008 increased by 30 percent more than that in 1901. Forest NPP was higher in middle part and lower in northern and southern part because of the elevation effects on NPP.

Key words: net primary productivity (NPP), stand age, InTEC model, climate

中图分类号:

S758.5

于颖, 范文义, 杨曦光. 1901—2008年小兴安岭森林NPP估算[J]. 林业科学, 2014, 50(10): 16-23.

Yu Ying, Fan Wenyi, Yang Xiguang. Estimation of Forest NPP in Xiaoxing'an Mountains in 1901—2008[J]. Scientia Silvae Sinicae, 2014, 50(10): 16-23.

参考文献

陈国南. 1987. 用迈阿密模型测算我国生物生产量的初步尝试. 自然资源学报, 2(3): 270-278.
(Chen G N. 1987. Preliminary study on calculation of primary production of ecosystem in china with application of miami model. Journal of Natural Resources, 2(3): 270-278. [in Chinese] )
董利虎, 李凤日, 贾炜玮,等.2011 含度量误差的黑龙江省主要树种生物量相容性模型. 应用生态学报, 22(10): 2653-2661.
(Dong L H, Li F R, Jia W W, et al. 2011. Compatible biomass models for main tree species with measurement error in Heilongjiang Province of Northeast China. Chinese Journal of Applied Ecology, 22(10): 2653-2661. [in Chinese] )
何勇, 董文杰, 郭晓寅,等. 2007. 1971-2000年中国陆地植被净初级生产力的模拟. 冰川冻土, 29(2): 226-231.
(He Y, Dong W J, Guo X Y, et al. 2007. The Chinese terrestrial NPP simulation from 1971 to 2000. Journal of Glaciology and Geocryology, 29(2): 226-231. [in Chinese] )
王培娟, 谢东辉, 张佳华,等. 2008. 长白山森林植被NPP主要影响因子的敏感性分析. 地理研究, 27(2): 323-330.
(Wang P J, Xie D H, Zhang J H, et al. 2008. Sensitivity analysis for primary factors of the forest net primary productivity in Changbaishan Natural Reserve based on process model. Geographical Research, 27(2): 323-330. [in Chinese] )
于颖, 范文义, 李明泽. 2012. 东北林区不同尺度森林的含碳率. 应用生态学报, 23(2): 341-346.
(Yu Y, Fan W Y, Li M Z. 2012. Forest carbon rates at different scales in Northeast China forest area. Chinese Journal of Applied Ecology, 23(2): 341-346. [in Chinese] )
赵国帅, 王军邦, 范文义,等. 2011. 2000-2008年中国东北地区植被净初级生产力的模拟及季节变化. 应用生态学报, 22(3): 621-630.
(Zhao G S, Wang J B, Fan W J, et al. 2011. Vegetation net primary productivity in Northeast China in 2000-2008: Simulation and seasonal change. Chinese Journal of Applied Ecology, 22(3): 621-630. [in Chinese] )
Chen J M, Ju W, Cihlar J, et al. 2003. Spatial distribution of carbon sources and sinks in Canada's forests. Tellus B,55 (2): 622-641.
Deng F, Chen J M, Plummer S, et al. 2006. Algorithm for global leaf area index retrieval using satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, 44(8): 2219-2229.
He L, Chen J M, Pan Y, et al. 2012. Relationships between net primary productivity and forest stand age in U.S. forests. Global Biogeochem Cycles, 26 (3): GB3009.1- GB3009.19.
Lieth H. 1975. Modeling the primary productivity of the word//Lieth H, Whttaker R H.Primary productivity of the biosphere. New York: Springer-Verlag, 237-263.
Liu J, Chen J M, Cihlar J, et al. 1999. Net primary productivity distribution in the BOREAS region from a process model using satellite and surface data. Journal of Geophysics Research, 104(D22): 27735-27754.
Neilson R P, King G A, Koerper G. 1992. Towards a rule-based biome model. Land Ecology, 7(1): 27-43.
Raich J M, Rastetter E B, Melillo J M. 1991. Potential net primary productivity in southern America: application of a global model. Ecological Application, 1(4): 399-429.
Thornton P E, Running S W. 1999. An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation. Agricultural and Forest Meteorology, 93(4): 211-228.
Thornton P E. 1998. Description of a numerical simulation model for predicting the dynamics of energy, water, carbon, and nitrogen in a terrestrial ecosystem. Missoula: Dissertation.
Uchijima Z, Seino H. 1985. Agroclimatic evaluation of net primary productivity of natural vegetations (I): Chikugo model for evaluation net primary productivity. Journal of Agricultural Meteorology, 40(4): 343-352.
White M A, Thornton P E, Running S W, et al. 2000. Parameterization and sensitivity analysis of the BIOME-BGC terrestrial ecosystem model: net primary production controls. Earth Interact, 4 (3):1-85.

[1]	赵志江, 郭文霞, 康东伟, 崔莉, 赵联军, 李俊清. 川西亚高山岷江冷杉和紫果云杉径向生长对气候因子的响应[J]. 林业科学, 2019, 55(7): 1-16.
[2]	古琳, 王成, 王艳英, 王晓磊, 孙振凯, 王茜, 孙睿霖. 惠山国家森林公园游憩林小气候与人体舒适度变化规律[J]. 林业科学, 2019, 55(6): 150-159.
[3]	李亚藏, 冯仲科. 气候敏感的马尾松生物量相容性方程系统研建[J]. 林业科学, 2019, 55(5): 65-73.
[4]	王晓玮, 任雪燕, 梁英梅. 基于MaxEnt模型的松针红斑病在中国的潜在分布区及适生性预测分析[J]. 林业科学, 2019, 55(4): 160-170.
[5]	吕振刚, 李文博, 黄选瑞, 张志东. 气候变化情景下河北省3个优势树种适宜分布区预测[J]. 林业科学, 2019, 55(3): 13-21.
[6]	张雄清, 王翰琛, 鲁乐乐, 陈传松, 段爱国, 张建国. 杉木单木枯损率与初植密度、竞争和气候因子的关系[J]. 林业科学, 2019, 55(3): 72-78.
[7]	王婧如, 王明浩, 张晓玮, 孙杉, 赵长明. 同倍体杂交物种紫果云杉的生态位分化及其未来潜在分布区预测[J]. 林业科学, 2018, 54(6): 63-72.
[8]	路伟伟, 余新晓, 贾国栋, 李瀚之, 刘自强. 密云山区油松树轮δ¹³C对气温和降水量变化的响应[J]. 林业科学, 2018, 54(3): 1-7.
[9]	白雪, 范泽鑫. 哀牢山中山湿性常绿阔叶林水青树年轮宽度对气候变化的响应[J]. 林业科学, 2018, 54(3): 161-167.
[10]	苑冉, 李欣悦, 吴韶平, 曹传旺. CO₂浓度升高对舞毒蛾生长发育和体内解毒酶及保护酶活性的影响[J]. 林业科学, 2018, 54(12): 102-109.
[11]	郑焕祺, 朱科, 杜光月, 周玉成. 气候室智能前馈PID高精度控制方法[J]. 林业科学, 2018, 54(11): 79-86.
[12]	钱杨, 孙洪刚, 董汝湘, 姜景民. 针叶树碳水化合物分配研究进展[J]. 林业科学, 2018, 54(1): 141-153.
[13]	田晓瑞, 舒立福, 赵凤君, 王明玉. 气候变化对中国森林火险的影响[J]. 林业科学, 2017, 53(7): 159-169.
[14]	崔诗梦, 向玮. 间伐与气候对长白落叶松树轮宽度的影响[J]. 林业科学, 2017, 53(12): 1-11.
[15]	宋雄刚, 王鸿斌, 张真, 孔祥波, 苗振旺, 刘随存, 李永福. 应用最大熵模型模拟预测大尺度范围油松毛虫灾害[J]. 林业科学, 2016, 52(6): 66-75.

1901—2008年小兴安岭森林NPP估算

Estimation of Forest NPP in Xiaoxing'an Mountains in 1901—2008

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

作者中心

期刊获奖

引证指标

联系方式