引用本文: 许静，陈迪，李文龙，魏巍. 基于光能利用率模型的甘南州植被净初级生产力研究. 草业科学, 2019, 36(10): 2455-2465. doi: shu

Citation: XU J, CHEN D, LI W L, WEI W. Study of vegetation net primary productivity in Gannan based on light use efficiency model. Pratacultural Science, 2019, 36(10): 2455-2465. doi: shu

基于光能利用率模型的甘南州植被净初级生产力研究

许静 ^1, ,
陈迪 ^{2,
,} ,
李文龙 ^2, ,
魏巍 ^2,

1.
BG视讯 xibeiziyuanhuanjingyuquyufazhanyanjiuzhongxin / lanzhoucaijingdaxuenonglinjingjiguanlixueyuan，gansu lanzhou 730020
2.
caodinongyeshengtaixitongguojiazhongdianshiyanshi / lanzhoudaxuecaodinongyekejixueyuan，gansu lanzhou 730000

作者简介: 许静(1983-)，女，河北青县人，副教授，博士，主要从事生态学与生态经济学研究。E-mail: ;陈迪（1990-），男，河南内乡县人，硕士，主要从事遥感与地理信息系统方向的研究。E-mail: ;

通讯作者: 陈迪,

基金项目: 国家社会科学基金(14CJY010)

摘要: 作为反映生态过程的关键指标，植被净初级生产力(NPP)的动态变化对于了解生态系统碳循环及气候变化具有重要的意义。本研究基于遥感(RS)/地理信息系统(GIS)技术，利用改进的光能利用率模型研究了甘南州2011 – 2014年植被NPP，在对比验证的基础上，分析了甘南州植被NPP时空分布格局及其与地形因子之间的关系。结果表明，改进后的光能利用率模型能够较好地模拟研究区的植被NPP，可以用于大区域长时间尺度的模拟。2011 – 2014年甘南州植被平均NPP为478.26 g C·(m²·a)^–1。在一年中，植被NPP日均值呈先增加后降低的趋势，且在7月达到最大值；NPP累积值从5月开始快速增加，并在10月后趋于稳定。在空间上，东南部山区NPP平均值较大，北部农区、农牧交错带和西南部高海拔地区相对较小。随海拔升高和坡度增加，NPP均呈先增后减的趋势；所有坡向中，NPP在北坡最大，南坡最小。

关键词:

English

Study of vegetation net primary productivity in Gannan based on light use efficiency model

Jing XU ^1, ,
Di CHEN ^{2,
,} ,
Wenlong LI ^2, ,
Wei WEI ^2,

1.
northwest research center for resources, environment and regional development / college of agriculture & forestry economics and management, lanzhou university of finance and economics, lanzhou 730020, gansu, china
2.
BG视讯 key laboratory of grassland farming systems / college of pastoral agriculture science and technology, lanzhou university, lanzhou 730000, gansu, china

Corresponding author: Di CHEN,

Received Date: 2019-01-09
Available Online: 2019-10-01

Abstract: As an important index reflecting ecological process, the dynamic changes in vegetation net primary productivity (NPP) play an important role in understanding the carbon cycle of ecosystems and global climatie change. By using RS and GIS techniques, an improved light use efficiency model was used to estimate the vegetation NPP in Gannan from 2011 to 2014. In addition, the connections between the spatial and temporal distribution patterns of vegetation NPP and primary terrain factors were discussed in this study. The results showed that the improved light use efficiency model provided a better simulation of the vegetation NPP in Gannan and that it also could be used in large-areas and for long-term simulations. The average annual vegetation NPP from 2011 to 2014 was 478.26 g C·(m²·a)^–1. Over a year the daily mean NPP of vegetation increased first and then decreased, reaching a maximum value in July; the accumulative NPP increased quickly from May and tended to be stable in October. With regard to the spatial distribution mean NPP was large in the southeast mountain area and small in the northern agricultural and farming-pastoral area and in the southwest high altitude area. As the altitude increased both the average NPP and accumulative NPP increased at first and then reduced; Over all the aspects of the slope NPP was highest on the north slope, and lowest on the south slope.

Key words:

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BG视讯

图 1 研究区及采样点示意图

Figure 1. Location of study areas and the distribution of sampling sites

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图 2 BG视讯甘南草地NPP实测值与模拟值的比较

Figure 2. BG视讯 Comparison of measured and stimulated NPP of grassland in Gannan

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图 3 BG视讯 2011 – 2014年每15日日均NPP和NPP累积值变化趋势

Figure 3. Variation of daily mean NPP per 15 days and ccumulative NPP from 2011 to 2014

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图 4 BG视讯 2011 – 2014年甘南植被年均NPP 的空间分布

Figure 4. BG视讯 Spatial distribution of mean annual NPP of vegetation in Gannan from 2011 to 2014

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图 5 甘南州植被NPP与海拔分布间的关系

Figure 5. Relationships between vegetation NPP and altitude in Gannan

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图 6 甘南州植被NPP与坡向间的关系

Figure 6. Relationships between vegetation NPP and slope aspect in Gannan

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图 7 BG视讯甘南州植被NPP与坡度间的关系

Figure 7. Relationships between vegetation NPP and slope gradient in Gannan

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图 8 本研究NPP模拟结果与其他研究估算结果的比较

Figure 8. BG视讯 Comparison of NPP in this study with other estimations

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表 1 不同植被类型的MODIS-GPP产品参数

Table 1. BG视讯 MODIS-GPP product parameters for different vegetation types

参数变量 Parameter variable	样地类型 Type of sample site
参数变量 Parameter variable	ENF	EBF	DNF	DBF	MF	WL
ε_max/(kg C·MJ^–1)	0.001 008	0.001 159	0.001 103	0.001 044	0.001 116	0.000 8
T_min/°C	–8	–8	–8	–8	–8	–8
T_max/°C	8.31	9.09	10.44	7.94	8.50	11.39

参数变量 Parameter variable	样地类型 Type of sample site
参数变量 Parameter variable	Wgrass	Cshrub	Oshrub	Ameadow	Crop
ε_max/(kg C·MJ^–1)	0.000 768	0.000 888	0.000 774	0.000 68	0.000 68
T_min/°C	–8	–8	–8	–8	–8
T_max/°C	11.39	8.61	8.80	12.02	12.02
ENF，常绿针叶林；EBF，常绿阔叶林；DNF，落叶针叶林；DBF，落叶阔叶林；MF，混交林；WL，多树草地；Wgrass，稀树草地；Cshrub，郁闭灌丛；Oshrub，稀疏灌丛；Ameadow，高寒草甸；Crop，农田。下表同。　ENF, evergreen needleleaf forest; EBF, evergreen broadleaf forest; DNF, deciduous needleleaf forest; DBF, deciduous broadleaf forest; MF, mixed forest; WL, grassy woodland; Wgrass, wooded grassland; Cshrub, closed shrubland; Oshrub, open shrubland; Ameadow, alpine meadow; Crop, croplands; similarly for the following tables.

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表 2 甘南地区不同植被类型NPP模拟结果

Table 2. BG视讯 Simulation results of NPP in different vegetation types in Gannan

植被类型 Vegetation type	面积 Area/hm²	面积比 Area ratio/%	NPP平均值 Average NPP/[g C·(m²·a)^–1]	总NPP Total NPP/[× 10¹⁰ g C·a^–1]
ENF	97 825	2.66	705.18	68.98
DNF	2 425	0.07	560.29	1.36
DBF	15 423	0.42	745.33	11.50
MF	428 825	11.66	734.72	315.07
Cshrub	259 125	7.05	456.21	118.21
Oshrub	30 525	0.83	408.80	12.48
WL	24 075	0.65	500.12	12.04
Wgrass	825	0.02	450.86	0.37
Ameadow	2 723 300	74.07	426.83	1 162.38
Crop	89 275	2.43	452.49	40.40

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基于光能利用率模型的甘南州植被净初级生产力研究

作者简介: 许静(1983-)，女，河北青县人，副教授，博士，主要从事生态学与生态经济学研究。E-mail: ;陈迪（1990-），男，河南内乡县人，硕士，主要从事遥感与地理信息系统方向的研究。E-mail: ;

通讯作者: 陈迪,

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Study of vegetation net primary productivity in Gannan based on light use efficiency model

Corresponding author: Di CHEN,

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