Spatial simulation of the effect of fire and harvest on aboveground tree biomass in boreal forests of Northeast China

被引:29
|
作者
Luo, Xu [1 ]
He, Hong S. [2 ]
Liang, Yu [1 ]
Wang, Wen J. [2 ]
Wu, Zhiwei [1 ]
Fraser, Jacob S. [2 ]
机构
[1] Chinese Acad Sci, Inst Appl Ecol, State Key Lab Forest & Soil Ecol, Shenyang 110016, Peoples R China
[2] Univ Missouri, Sch Nat Resources, Columbia, MO USA
关键词
Fire; Harvest; LANDIS; Model verification; The Great Xing'an Mountains; GREAT XINGAN MOUNTAINS; CARBON STORAGE; CLIMATE-CHANGE; LANDSCAPE; DYNAMICS; MODEL; DISTURBANCE; VEGETATION; SEQUESTRATION; MODULE;
D O I
10.1007/s10980-014-0051-x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Fire and timber harvest are two major forest disturbances in boreal forests. Predicting the dynamics of boreal forest biomass requires accounting for both of those effects. Related stochasticity and other uncertainties can produce great variation in predicted responses of forests to fire and timber harvest. In this study, we investigated the effects of fire and timber harvest on landscape-level predictions of the tree component of stand biomass in a boreal forest landscape in Northeast China. We used a forest landscape model (LANDIS PRO) to predict the tree biomass over three time intervals (0-50, 50-150, and 150-300 years). We then compared the simulated results of fire and timber harvest and their interactions with observed biomass and its spatial distribution over short-, mid-, and long-term intervals. For additional prediction comparisons, we observed uncut, unburned stands (i.e., the succession-only scenario). Compared to the succession-only scenario, we found that predicted biomass was reduced by 3.8 +/- A 2.1, 9.1 +/- A 3.6, and 11.2 +/- A 5.1 tons/ha in fire-only, harvest-only, and combined fire and harvest scenarios, respectively. Our results indicated that the effect of harvest on biomass exceeded that of fire, and that the interaction of fire and harvest was more effective in reducing biomass than the effects of fire or harvest separately. Biomass predictions that did not consider effects of fire and timber harvest tended to inflate biomass estimates. The spatial distribution of tree biomass moreover changed with simulation period. These results have important implications in designing prescriptions for improving forest sustainability.
引用
收藏
页码:1187 / 1200
页数:14
相关论文
共 50 条
  • [41] Ecological Factors Driving Tree Diversity across Spatial Scales in Temperate Forests, Northeast China
    Gu, Yue
    Zhang, Junhui
    Ma, Wang
    Feng, Yue
    Yang, Leilei
    Li, Zhuo
    Guo, Yanshuang
    Shi, Guoqiang
    Han, Shijie
    FORESTS, 2023, 14 (06):
  • [42] A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests
    Ma, Ye
    Im, Jungho
    Zhen, Zhen
    Zhao, Yinghui
    GEO-SPATIAL INFORMATION SCIENCE, 2025, 28 (01) : 97 - 116
  • [43] SIMULATION OF MOSS AND TREE DYNAMICS IN THE BOREAL FORESTS OF INTERIOR ALASKA
    BONAN, GB
    KORZUHIN, MD
    VEGETATIO, 1989, 84 (01): : 31 - 44
  • [44] Determinants of aboveground biomass in forests across three climatic zones in China
    Ding, Yi
    Zang, Runguo
    FOREST ECOLOGY AND MANAGEMENT, 2021, 482
  • [45] A non-destructive approach to develop tree-level allometric equations for estimating aboveground biomass in the forests of Tripura, Northeast India
    Roy, Abhilash Dutta
    Das, Sumit Kumar
    Debnath, Bimal
    TROPICAL ECOLOGY, 2023, 64 (03) : 532 - 542
  • [46] A non-destructive approach to develop tree-level allometric equations for estimating aboveground biomass in the forests of Tripura, Northeast India
    Abhilash Dutta Roy
    Sumit Kumar Das
    Bimal Debnath
    Tropical Ecology, 2023, 64 : 532 - 542
  • [47] Aboveground biomass allocation and additive allometric models of fifteen tree species in northeast China based on improved investigation methods
    Xu, Zhenzhao
    Du, Wenxian
    Zhou, Guang
    Qin, Lihou
    Meng, Shengwang
    Yu, Jian
    Sun, Zhen
    SiQing, Bilige
    Liu, Qijing
    FOREST ECOLOGY AND MANAGEMENT, 2022, 505
  • [48] Response of Individual-Tree Aboveground Biomass to Spatial Effects in Pinus kesiya var. langbianensis Forests by Stand Origin and Tree Size
    Liu, Chunxiao
    Wu, Yong
    Zhang, Xiaoli
    Luo, Hongbin
    Yu, Zhibo
    Liu, Zihao
    Li, Wenfang
    Fan, Qinling
    Ou, Guanglong
    FORESTS, 2024, 15 (02):
  • [49] Asymmetrical Lightning Fire Season Expansion in the Boreal Forest of Northeast China
    Gao, Cong
    An, Ran
    Wang, Wenqian
    Shi, Chunming
    Wang, Mingyu
    Liu, Kezhen
    Wu, Xiaoxu
    Wu, Guocan
    Shu, Lifu
    FORESTS, 2021, 12 (08):
  • [50] Spatial patterns of aboveground production and mortality of woody biomass for eastern US forests
    Brown, SL
    Schroeder, PE
    ECOLOGICAL APPLICATIONS, 1999, 9 (03) : 968 - 980