考考赖沟流域植被生产力模拟

doi:10.17521/cjpe.2007.0100

摘要/Abstract

摘要：

该文应用气象数据、土壤物理属性实测数据、土壤水分分布式动态模型和植被表面净辐射模型的模拟结果,利用多元线性回归分析方法,建立了植被净第一性生产力模型,实现了鄂尔多斯高原东部砂质荒漠化地区考考赖沟流域尺度上30 m×30 m空间分辨率的植被生产力精确模拟,并且用植被生产力的野外实测数据对模拟结果进行了验证表明: 实测值与模拟值在固定沙丘、半固定沙丘和样线2上都达到0.05显著性相关水平;不同位置的实测植被生产力数据多分布在1∶1直线附近,模拟值与实测值吻合较好;植被生产力实测值与模拟值的相对误差范围为3.22%~6.27%,偏斜度范围在-12.84%~4.43%。该文的研究方法可以为流域尺度上植被生产力的精确模拟提供借鉴和参考。

关键词: 分布式土壤水分动态模型, 植被净第一性生产力, 荒漠化地区, 模拟, 验证

Abstract:

Aims Net primary production (NPP) is plant community production and is the basis of matter and energy cycles of ecosystems. The aim of this study is to accurately simulate NPP on the watershed scale in an area of desertification using simulated results of accumulated soil water replenishment and net radiation.

Methods Using a digital elevation model (DEM) at 30 m×30 m spatial resolution, accumulated soil water replenishment was simulated by using the distributed dynamic model of soil water, and net radiation was simulated by using the Penman-Monteith formula. TheNPP model was developed based on NPP data, accumulated soil water replenishment and net radiation. NPP was accurately simulated for the Kaokaolaigou watershed of the sandy desertification area in eastern Erdos Plateau by inputting the simulated results of the accumulated soil water replenishment and net radiation into the NPP model. We tested the simulated NPP results.

Important findings The test of the simulated NPP results shows that the correlation level between measured and simulated values is 0.05 for the fixed dunes, semi-fixed dunes and sample line 2 and simulated and measured values are in close agreement. The range of relative error between simulated and measured values is 3.22%-6.27%, and the range of skewness between simulated and measured values is from -12.84% to 4.43%. Results show that NPP is different on different slopes and aspects. The NPP decreased from 233.39 to 112.91 g DW·m^-2·a^-1 when the slope increased from 0° to 20°, the maximumNPP of 283.21 g DW·m^-2·a^-1 occurred on flatland and the minimum NPP of 101.68 g DW·m^-2·a^-1 occurred on the south aspect. In conclusion, the NPP model can be used to simulate the distribution of NPP. This research method may allow precise simulation of NPP on a watershed scale.

Key words: distributed dynamic model of soil water, net primary production, sandy desertification area, simulation, test

杨佩国, 李保国, 吕贻忠, 吴绍洪, 李静. 考考赖沟流域植被生产力模拟. 植物生态学报, 2007, 31(5): 787-793. DOI: 10.17521/cjpe.2007.0100

YANG Pei-Guo, LI Bao-Guo, LÜ Yi-Zhong, WU Shao-Hong, LI Jing. SIMULATION OF NET PRIMARY PRODUCTION IN KAOKAOLAIGOU WATERSHED, CHINA. Chinese Journal of Plant Ecology, 2007, 31(5): 787-793. DOI: 10.17521/cjpe.2007.0100

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2007.0100

https://www.plant-ecology.com/CN/Y2007/V31/I5/787

图/表 6

表1 样线1上各点输入数据

Table 1 The input data in the line 1

样点号No. of sample	NPP	R_n	W
1	98.69	999.11	392.29
2	133.32	1 038.64	424.84
3	140.51	1 041.23	430.51
4	96.55	971.57	387.26
5	126.08	1 026.20	414.14
6	175.51	1 112.03	446.17
7	109.55	1 004.73	398.21
8	82.97	949.06	362.08
9	191.08	1 254.39	456.32
10	201.08	1 298.42	488.93
11	122.12	1 015.51	403.88
12	224.63	1 343.38	537.18
13	95.38	959.90	376.00
14	185.77	1 176.67	448.93
15	145.42	1 055.68	436.59

图1 研究区不同位置模拟值与实测值的比较

Fig.1 Comparison of simulated values and measured value at different sites in study area

表2 不同位置植被生产力模拟值的相对误差与偏斜度

Table 2 Relative error and bias of linear regression equation with 1 between measured and simulated value

名称 Name	固定沙丘 Fixed dune	半固定沙丘 Semi-fixed dune	样线2 Sample line 2
相对误差(%) Relative error	3.79	3.22	6.27
偏斜度 Measure of skewness	4.43	0.58	-12.84

图2 研究区植被净第一性生产力(NPP)(g DW·m-2·a-1)分布图

Fig.2 The distribution of net primary production (NPP) (g DW·m-2·a-1) in study area

图3 不同坡向上净第一性生产力(NPP)分布 F: 平地 Flat N: 北 North NE: 北东 Northeast E: 东 East SE: 南东 Southeast S: 南 South SW: 南西 Southwest W: 西 West NW: 北西 Northwest

Fig.3 The distribution of net primary production (NPP) on different aspects

图4 不同坡度上净第一性生产力(NPP)分布

Fig.4 The distribution of net primary production (NPP) in different slopes Ⅰ: 0°~1° Ⅱ: 1°~3° Ⅲ: 3°~5° Ⅳ: 5°~7° Ⅴ: 7°~10° Ⅵ: 10°~15° Ⅶ: 15°~20° Ⅷ: 20°~25° Ⅸ: >25°

参考文献 31

[1]	Dong M (董鸣) (1997). Investigation and Analysis of the Terrestrial Biocommunities (陆地生物群落调查观测与分析). Standards Press of China, Beijing. (in Chinese)
[2]	Fang JY (2000). Forest productivity in China and its responses to global climate changes. Acta Phytoecologica Sinica (植物生态学报), 24,513-517.
[3]	Field CB, Behrenfeld MJ, Randerson JT, Falkowski P (1998). Primary production of the biosphere: integrating terrestrial and oceanic components. Science, 281,237-240. URL PMID
[4]	Foley JA (1994). Net primary productivity in the terrestrial bio-sphere: the application of a global model. Journal of Geophysical Resource, 99(D10),20773-20783.
[5]	Fu BP (傅抱璞) (1998). The differences and variations in components of radiation budget on underlying surfaces of different topographies. Chinese Journal of Atmospheric Sciences (大气科学), 22,178-190. (in Chinese with English abstract)
[6]	Fu BP (傅抱璞) (1983). Mountain Climate (山地气候).Science Press, Beijing,61-72. (in Chinese)
[7]	Hou GL (侯光良), You SC (游松才) (1990). To calculate China's plant-climate productive potentialities by Chikuzo model. Journal of Natural Resources (自然资源学报), 5,60-65. (in Chinese with English abstract)
[8]	Li DQ (李迪强), Sun CY (孙成永), Zhang XS (张新时) (1998). Modelling the net primary productivity of the natural potential vegetation in China. Acta Botanica Sinica (植物学报), 40,560-566. (in Chinese with English abstract)
[9]	Matsushita BK, Yang CF (杨翠芬), Chen J (陈晋), Wang QX (王勤学), Kameyama STS, Tamura MSYK (2004). Accurate estimation of net primary productivity of terrestrial ecosystem at a regional scale. Acta Geographica Sinica (地理学报), 59,80-87. (in Chinese with English abstract)
[10]	Meiillo JM, McGuire AD (1993). Global climate change and terrestrial net primary production. Nature, 363,234-240.
[11]	Ni J (倪健) (2002). BIOME models: main principles and applications. Acta Phytoecologica Sinica (植物生态学报), 26,481-488. (in Chinese with English abstract)
[12]	Niu ZG (牛振国), Li BG (李保国), Zhang FR (张凤荣) (2003). Modeling of soil water replenishment in catchments based on GIS. Journal of Hydraulic Engineering (水利学报), 2,73-77. (in Chinese with English abstract)
[13]	Niu ZG (牛振国), Li BG (李保国), Zhang FR (张凤荣), Chen HW (陈焕伟) (2002). A distributed model of reference evapotranspiration based on the DEM. Advances in Water Science (水科学进展), 13,303-307. (in Chinese with English abstract)
[14]	Paruelo JM (1997). A NPP estimates from NDVI for the central grassland region of the United States. Ecology, 78,953-958.
[15]	Piao SL (朴世龙), Fang JY (方精云), Guo QH (郭庆华) (2001). Application of CASA model to the estimation of Chinese terrestrial net primary productivity. Acta Phytoecologica Sinica (植物生态学报), 25,603-608. (in Chinese with English abstract)
[16]	Potter CS (1999). Terrestrial biomass and effects of deforestation on the global carbon cycle-results from a model of primary production using satellite observations. BioScience, 49,769-778.
[17]	Potter CS, Randerson JT (1993). Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochemical Cycles, 7,811-841.
[18]	Smith M (1991). Report on the Expert Consultation on Revision of FAO Methodologies for Crop Water Requirements. Land and Water Development Division, Food and Agriculture Organization, Rome, 54.
[19]	Sun R (孙睿), Zhu QJ (朱启疆) (2001). Effect of climate change of terrestrial net primary productivity in China. Journal of Remote Sensing (遥感学报), 5,58-61. (in Chinese with English abstract)
[20]	Sun R (孙睿), Zhu QJ (朱启疆) (1999). Net primary productivity of terrestrial vegetation—a review on related researches. Chinese Journal of Applied Ecology (应用生态学报), 10,757-760. (in Chinese with English abstract)
[21]	Uchijima Z, Seino H (1985). Agroclimatic evaluation of net primary productivity of nature vegetation (1): Chikugo model for evaluating primary productivity. Journal of Agricultural Meteorology, 40,343-352.
[22]	Yan SJ (闫淑君), Hong W (洪伟), Wu CZ (吴承祯), Bi XL (毕晓丽) (2001). Modification of natural vegetation NPP model. Acta Agriculturae Universitatis Jiangxiensis (江西农业大学学报), 23,248-252. (in Chinese with English abstract)
[23]	Yang YH (杨永辉), Wang ZP (王智平), Sakura YS, Tang CY (唐常源), Shindo SZ (2002). Effects of global warming on productivity and soil moisture in Taihang Mountain: a transplant study. Chinese Journal of Applied Ecology (应用生态学报), 13,667-671. (in Chinese with English abstract)
[24]	Zhang H (张洪), Fan ZL (樊自立) (2000). Studies on a NPP model of salinized meadow in the north of Tarim Basin. Acta Phytoecologica Sinica (植物生态学报), 24,13-17. (in Chinese with English abstract)
[25]	Zhang JH (张佳华) (2001). Study on models for evaluation primary productivity of natural vegetation and corp yield. Acta Agriculturae Shanghai (上海农业学报), 17,83-89. (in Chinese with English abstract)
[26]	Zhang XZ (张宪洲) (1993). The estimation and distribution of net primary productivity of natural vegetation in China. Resources Science (资源科学), 1,15-21. (in Chinese with English abstract)
[27]	Zheng YR (郑元润), Zhou GS (周广胜) (2000). A forest vegetation NPP model based on NDVI. Acta Phytoecologica Sinica (植物生态学报), 24,9-12. (in Chinese with English abstract)
[28]	Zhou GS (周广胜), Zhang XS (张新时) (1995). A natural vegetation NPP model. Acta Phytoecologica Sinica (植物生态学报), 19,193-200. (in Chinese with English abstract)
[29]	Zhou GS (周广胜), Zhang XS (张新时) (1996). Study on NPP of natural vegetation in China under global climate change. Acta Phytoecologica Sinica (植物生态学报), 20,11-19. (in Chinese with English abstract)
[30]	Zhou T (周涛), Shi PJ (史培军), Sun R (孙睿), Wang SQ (王绍强) (2004). The impacts of climate change on net ecosystem production in China. Acta Geographica Sinica (地理学报), 59,357-365. (in Chinese with English abstract)
[31]	Zhu ZH (朱志辉) (1993). The model of estimating net primary productivity of natural vegetaion. Chinese Science Bulletin (科学通报), 38,1422-1426. (in Chinese with English abstract)