RS-based Monitoring of Forest Net Primary Productivity in Northeast China

Abstract

Abstract: In this paper, a NPP model (Forest-BGPG) is introducedto estimate forest NPP with the support of 1km daily MODIS data in 2003, taking Liaoning, Jilin and Heilongjiang provinces as study areas. The results showthat forest NPP in study area in 2003 is 3.7MgC/hm². Differential tempo-spatial pattern of forest NPP also appears in study areas, NPP of evergreen coniferous forest is 4.1, that of deciduous broadleaf forest, evergreen broadleaf forest and mixed forest is 4.0, 3.8 and 3.9 respectively, and deciduous coniferousforest is lowest, only 3.5. Higher NPP happens in East Liaoning and Changbaimountain, more than 6.3, and Daxinganning mountain is less than 3.2. By comparing with existing national study results and global NPP products in 2003, estimate exactly figures out actual productivity of forest ecosystems, and model provides an effectively continuous way for dynamic monitoring of forest productivityand carbon stock.

Key words: Forest, NPP, forest-BGPG, MODIS

CLC Number:

S771.8

LIU Xiyun, SUN Xiangyang, XIA Chaozong, WANG Haidong. RS-based Monitoring of Forest Net Primary Productivity in Northeast China[J]. FOREST RESOURCES WANAGEMENT, 2007, (6): 78-83.

References

[1]潘瑞炽,董愚得.植物生理学[M].北京:高等教育出版社,1995.
[2]Peng C H,Apps M J.Modelling the response of net primary productivity (NPP) of boreal forest ecosystems to changes in climate and fire disturbance regimes[J].Ecological Modelling,1999,122:175-193.
[3]Running S W,Coughlun J C.A general model of ecosystem processes for regional applications I. Hydrologic balance canopy gas exchange and primary production process[J].Ecological Modelling,1988,42:125-154.
[4]Landsberg J J,Waring R H.A generalized model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning[J].Forest Ecological and Modelling,1997,95:209-228.
[5]Aber J D,Federer,C A.A generalized lumped-parameter model ofphotosynthesis evapotranspiration and net primary production in temperate and boreal forest ecosystem[J].Oecologia,1992,92:463-474.
[6]Xia C Z,Xiong L Y,Zhuang D F.Estimating net primary productivity of temperate deciduous forests in northeast china using remote sensing satellite data: approach and preliminary results[C].Denver:SPIE International Symposium on Optical Science and Technology,2004.
[7]Li Z Q,Moreau L.A new approach for remote sensing of canopy-absorbed photosynthetically active radiation.I:total surface absorption[J].Remote Sensing of Environment,1996,55:175-191.
[8]Myneni R B,Asrar G.Atmospheric effects and spectral vegetation indices[J]. Remote Sensing of Environment,1994,47:390-402.
[9]杨华,李小文,高峰.新几何光学核驱动BRDF模型反演地表反照率的算法[J].遥感学报,2002,6(4):246-251.
[10]马建文,赵忠明,布和敖斯尔.遥感数据模型及处理方法[M].北京:中国科学技术出版社,2001.
[11]肖兴威.中国森林生物量与生产力研究[D].哈尔滨:东北林业大学,2005.
[12]周生贤.中国森林资源报告[R].北京:中国林业出版社,2005.

[1]	WANG Ao, WANG Chenghu, GAO Guiyun, WANG Mingyu. Analysis of Dominant Causes and Rescue Casualties of Forest Fires in China from 2000 to 2022 [J]. Forest and Grassland Resources Research, 2024, 0(1): 1-7.
[2]	LI Jiao, WANG Bing, WANG Chen, GAO He, WU Huilong, ZHENG Xin, PENG Huafu. Spatiotemporal Trends and Influencing Factors of Forest Carbon Stock in Jiangxi Province from 2005 to 2020 [J]. Forest and Grassland Resources Research, 2024, 0(1): 17-24.
[3]	TANG Jiajun, CHAI Zongzheng. Remote Sensing Estimation of Average Diameter at Breast Height of Forest Stands Based on Airborne LiDAR and Machine Learning Algorithms [J]. Forest and Grassland Resources Research, 2024, 0(1): 56-64.
[4]	GENG Songtao, SUN Kexin, SONG Liangan, YAN Rong. The Franchising Development Path of the Hainan Tropical Rainforest National Park Based on the Recreation Opportunity Spectrum [J]. Forest and Grassland Resources Research, 2024, 0(1): 8-16.
[5]	LU Yuan, WANG Guangyu, CHENG Ziyue, YAN Yuqian, ZHANG Heng, WANG Li, YANG Hui, ZOU Quancheng. Current Situation and Outlook of the Construction of Forest and Grassland Fire Prevention Infrastructure under the New Situation [J]. Forest and Grassland Resources Research, 2023, 0(6): 1-7.
[6]	LI Qing, GOU Lihui, ZHENG Qianhui, YANG Yu, XIA Chaozong. Research on Pathways and Strategies for the Value Realization of Forest,Grassland and Wetland Carbon Sink Products [J]. Forest and Grassland Resources Research, 2023, 0(6): 18-26.
[7]	WANG Wenqi, MEI Yuntian, CHEN Jiayu, ZOU Quancheng, SU Yang. Research and Empirical Analysis of Farmers' Forest Land Transfer Behavior from the Perspective of Social Embeddedness [J]. Forest and Grassland Resources Research, 2023, 0(6): 27-38.
[8]	LI Chenchen, WU Jianwei, SHI Tian. Method and Application of Basic Price Evaluation Based on Forest Land Type [J]. Forest and Grassland Resources Research, 2023, 0(6): 61-66.
[9]	LIU Xuejian, ZHANG Zhihua, HAO Beibei, WANG Nan, MA Yu, HE Bin, ZHANG Siyi. Effects of Eucalyptus Afforestationon the Soil Organic Carbon Pool on the Hillslope of in the Red Soil Collapsing Erosion Area [J]. Forest and Grassland Resources Research, 2023, 0(6): 75-81.
[10]	REN Xiaoqi, HOU Peng, CHEN Yan. Advances in Remote Sensing Retrieval of Forest Aboveground Biomass [J]. Forest and Grassland Resources Research, 2023, 0(6): 146-158.
[11]	MENG Xianjin, LIN Shouming, QIN Lin, HUANG Ninghui, DING Sheng, XUE Yadong, LUO Yong, YANG Tingdong. Green and Beautiful Guangdong Ecological Construction Demonstration Zone Digital Twin Application Research [J]. Forest and Grassland Resources Research, 2023, 0(5): 113-121.
[12]	ZHANG Shunmin, HUANG Xiaoyuan, LIU Junze, CHEN Rong, LI Xiang. Dynamic Study of Forest Landscape Morphology and Thermal Environment in Dali City [J]. Forest and Grassland Resources Research, 2023, 0(5): 122-132.
[13]	WU Tingtian, CHEN Yiqing, CHEN Zongzhu, LEI Jinrui, CHEN Xiaohua, LI Yuanling. Analysis on the Spatial Distribution Characteristics of Representative Populations in Tropical Rainforest of Hainan [J]. Forest and Grassland Resources Research, 2023, 0(5): 133-141.
[14]	BAI Xingwen, HU Sheng, BU Rigude, YANG Fan. Analysis and Research on the Docking Scheme of Forest Stock Data Between Continuous Inventory of Forest Resources and Forest Resource Planning and Design Investigation [J]. Forest and Grassland Resources Research, 2023, 0(5): 142-147.
[15]	YU Songbai, SU Chenhui, ZHANG Hongai, LIU Daoping, LU Kangying, CHEN Shaolong. Assessment of Ecological Product Value and Financial Subsidy Scheme for Natural Hardwood Forests [J]. Forest and Grassland Resources Research, 2023, 0(5): 29-39.