内蒙古草原生态系统净初级生产力及其与气候的关系

doi:10.3773/j.issn.1005-264x.2010.07.003

摘要/Abstract

摘要：

该文在利用朱文泉等(2007)构建的基于光能利用率的净初级生产力(NPP)遥感估算模型对内蒙古草原生态系统1982-2006年的NPP进行估算的基础上, 选取包括降水量、温度、有效降水、有效温度和3种地表干湿度指数在内的气候指标, 充分考虑地表覆盖状况和气候因子的时滞和累积效应, 探讨了内蒙古草原生态系统NPP与气候因子之间的相互作用关系。结果表明, 以年为时间单位, 在年际水平上, 温度相关的各指标与年NPP的关系并不明显, 当年的气候条件对草原区植被的生长影响最大。以月为时间单位, 年内月气温和降水是影响NPP的重要因素。且所有植被类型区在年内月际水平上气候各指标对NPP的影响时效最大为1个月, NPP和各气候参量的关系时效也为1个月; 在年际水平上5-9月的NPP与降水、地表干湿度指数的互相关系数明显高于同温度各指标的互相关系数, 表明降水是影响内蒙古草原NPP的主要气候因子, 且降水的累积效应影响显著。不同植被类型区年际月NPP与降水指标之间的关系也各不相同。

关键词: 有效降水, 有效温度, 地表干湿度指数, 净初级生产力, 时滞互相关

Abstract:

Aims Net primary productivity (NPP) is a key parameter in vegetation growth and terrestrial ecosystem processes and plays an important role in carbon circulation. The relationship between NPP and climate is complicated and needed additional research. Our aim was to study this relationship in different time units and scales to uncover their interaction mechanism.

Methods Based on remotely-sensed estimated NPP calculated by light use efficiency model, the relationship between NPP and climatic indices (including precipitation, temperature, and effective precipitation and temperature) and three land surface humidity indices during 1982-2006, are assumed in Inner Mongolia. We considered land cover condition and time lag and accumulation effect of climate factors, using time lag correlation analysis, to uncover the interaction between NPP and climate.

Important findings Temperature related indices correlate poorly with annual NPP, and current year precipitation affects NPP the most. With month as the time unit, intra-annual monthly climatic factors are key factors influencing vegetation growth. In all vegetation types, intra-annual monthly climate indices could affect NPP in an effective time period of one month and so do NPP to climate. At the inter-annual level, monthly precipitation and humidity index affect NPP more than temperature related indices, which reveals that precipitation is the restricted climatic factor in this area with obvious accumulation effects. Areas with different vegetation types represent various relations between inter-annual monthly NPP and climatic indices.

Key words: effective precipitation, effective temperature, land surface humidity index, net primary productivity, time lag correlation

龙慧灵, 李晓兵, 黄玲梅, 王宏, 魏丹丹. 内蒙古草原生态系统净初级生产力及其与气候的关系. 植物生态学报, 2010, 34(7): 781-791. DOI: 10.3773/j.issn.1005-264x.2010.07.003

LONG Hui-Ling, LI Xiao-Bing, HUANG Ling-Mei, WANG Hong, WEI Dan-Dan. Net primary productivity in grassland ecosystem in Inner Mongolia and its relationship with climate. Chinese Journal of Plant Ecology, 2010, 34(7): 781-791. DOI: 10.3773/j.issn.1005-264x.2010.07.003

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链接本文: https://www.plant-ecology.com/CN/10.3773/j.issn.1005-264x.2010.07.003

https://www.plant-ecology.com/CN/Y2010/V34/I7/781

图/表 7

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时滞 Time lag		-4	-3	-2	-1	0	1	2	3	4
年指标 Annual index	T	0.24	0.10	0.21	0.13	0.12	0.28	0.13	-0.13	0.08
	ET1	0.20	0.06	0.00	-0.20	-0.24	-0.13	0.17	-0.10	-0.15
	ET2	0.25	0.10	-0.03	-0.18	-0.21	-0.19	0.21	-0.08	-0.16
	P	-0.01	-0.11	-0.08	0.37	0.59^**	0.01	0.15	0.28	0.30
	EP	0.16	-0.56^**	-0.29	0.20	0.35	-0.02	0.02	0.19	0.17
	K1	-0.11	-0.15	-0.11	0.18	0.55^**	0.12	-0.04	0.14	0.14
	K2	0.03	-0.16	-0.18	0.19	0.64^**	0.03	0.00	0.08	0.13
	BK	-0.11	-0.17	-0.10	0.18	0.55^**	0.14	-0.05	0.14	0.14
生长季指标 Index in growing season	T	0.14	-0.05	-0.07	-0.18	-0.24	-0.10	0.27	-0.05	-0.17
	ET1	0.16	0.01	-0.06	-0.18	-0.24	-0.14	0.24	-0.05	-0.14
	ET2	0.24	0.10	-0.04	-0.18	-0.22	-0.20	0.22	-0.07	-0.16
	P	-0.06	-0.16	-0.12	0.28	0.62^**	0.00	0.16	0.30	0.28
	EP	0.07	-0.58^**	-0.38	0.04	0.33	-0.13	-0.03	0.13	0.08
	K1	-0.16	-0.18	-0.13	0.08	0.54^**	0.10	-0.03	0.16	0.12
	K2	-0.03	-0.18	-0.17	0.09	0.64^**	0.03	0.01	0.13	0.13
	BK	-0.17	-0.21	-0.14	0.08	0.53^**	0.12	-0.03	0.17	0.14

时滞 Time lag		-4	-3	-2	-1	0	1	2	3	4
年指标 Annual index	T	0.24	0.10	0.21	0.13	0.12	0.28	0.13	-0.13	0.08
	ET1	0.20	0.06	0.00	-0.20	-0.24	-0.13	0.17	-0.10	-0.15
	ET2	0.25	0.10	-0.03	-0.18	-0.21	-0.19	0.21	-0.08	-0.16
	P	-0.01	-0.11	-0.08	0.37	0.59^**	0.01	0.15	0.28	0.30
	EP	0.16	-0.56^**	-0.29	0.20	0.35	-0.02	0.02	0.19	0.17
	K1	-0.11	-0.15	-0.11	0.18	0.55^**	0.12	-0.04	0.14	0.14
	K2	0.03	-0.16	-0.18	0.19	0.64^**	0.03	0.00	0.08	0.13
	BK	-0.11	-0.17	-0.10	0.18	0.55^**	0.14	-0.05	0.14	0.14
生长季指标 Index in growing season	T	0.14	-0.05	-0.07	-0.18	-0.24	-0.10	0.27	-0.05	-0.17
	ET1	0.16	0.01	-0.06	-0.18	-0.24	-0.14	0.24	-0.05	-0.14
	ET2	0.24	0.10	-0.04	-0.18	-0.22	-0.20	0.22	-0.07	-0.16
	P	-0.06	-0.16	-0.12	0.28	0.62^**	0.00	0.16	0.30	0.28
	EP	0.07	-0.58^**	-0.38	0.04	0.33	-0.13	-0.03	0.13	0.08
	K1	-0.16	-0.18	-0.13	0.08	0.54^**	0.10	-0.03	0.16	0.12
	K2	-0.03	-0.18	-0.17	0.09	0.64^**	0.03	0.01	0.13	0.13
	BK	-0.17	-0.21	-0.14	0.08	0.53^**	0.12	-0.03	0.17	0.14

时滞 Time lag	-4	-3	-2	-1	0	1	2	3	4
T	-0.58^*	-0.28	0.23	0.66^*	0.90^**	0.72^**	0.40	0.00	-0.41
ET1	-0.64^*	-0.38	0.15	0.69^*	0.98^**	0.82^**	0.35	-0.22	-0.59^*
ET2	-0.61^*	-0.38	0.11	0.66^*	0.99^**	0.82^**	0.31	-0.28	-0.61^*
P	-0.55^*	-0.30	0.22	0.74^**	0.99^**	0.74^**	0.18	-0.34	-0.60^*
EP	-0.61^*	-0.30	0.27	0.76^**	0.97^**	0.75^**	0.28	-0.23	-0.57^*
K2	-0.57^*	-0.29	0.27	0.77^**	0.98^**	0.73^**	0.20	-0.28	-0.57^*

时滞 Time lag	-4	-3	-2	-1	0	1	2	3	4
T	-0.58^*	-0.28	0.23	0.66^*	0.90^**	0.72^**	0.40	0.00	-0.41
ET1	-0.64^*	-0.38	0.15	0.69^*	0.98^**	0.82^**	0.35	-0.22	-0.59^*
ET2	-0.61^*	-0.38	0.11	0.66^*	0.99^**	0.82^**	0.31	-0.28	-0.61^*
P	-0.55^*	-0.30	0.22	0.74^**	0.99^**	0.74^**	0.18	-0.34	-0.60^*
EP	-0.61^*	-0.30	0.27	0.76^**	0.97^**	0.75^**	0.28	-0.23	-0.57^*
K2	-0.57^*	-0.29	0.27	0.77^**	0.98^**	0.73^**	0.20	-0.28	-0.57^*

时滞 Time lag	5月 May			6月 June			7月 July			8月 August			9月 September
时滞 Time lag	T	ET1	ET2	T	ET1	ET2	T	ET1	ET2	T	ET1	ET2	T	ET1	ET2
-13	-0.23	-0.23	-0.24	-0.32	-0.32	-0.32	0.14	0.15	0.18	0.02	-0.05	0.05	0.54	0.39^*	0.36^*
-12	-0.16	-0.16	-0.17	-0.21	-0.21	-0.21	0.17	0.17	0.17	-0.05	-0.05	0.05	0.44^*	0.39^*	0.36^*
-03	-0.07	-0.07	-0.09	-0.38^*	-0.39^*	-0.38^*	0.10	0.10	0.11	-0.03	-0.12	-0.09	0.58^**	0.52^**	0.52^**
-02	0.01	0.01	-0.01	-0.28	-0.28	-0.28	0.10	0.10	0.10	-0.12	-0.13	-0.09	0.51^**	0.52^**	0.52^**
-01	0.12	0.12	0.10	-0.35^*	-0.35^*	-0.35^*	0.10	0.10	0.10	-0.07	-0.07	-0.07	0.52^**	0.52^**	0.52^**
-3	-0.27	-0.27	-0.27	-0.46^**	-0.46^**	-0.45^*	0.04	0.04	0.14	0.10	0.33	-	0.51^**	-	-
-2	-0.15	-0.15	-0.15	0.05	0.05	0.05	0.08	0.08	0.08	-0.14	-0.19	-0.19	0.42^*	0.21	-
-1	-0.09	-0.09	-0.10	-0.31	-0.31	-0.31	0.23	0.23	0.23	0.10	0.10	0.08	0.39^*	0.39^*	0.36^*
0	0.36^*	0.37^*	0.36^*	-0.21	-0.21	-0.22	0.00	0.00	0.00	-0.22	-0.22	-0.22	0.50^**	0.50^**	0.50^**
1	0.27	0.15	0.03	-0.03	-0.04	-0.06	0.00	0.00	0.00	-0.31	-0.31	-0.31	-0.11	-0.11	-0.11
2	0.17	0.16	-	-0.12	-0.21	-0.36^*	0.07	0.07	0.04	0.00	0.00	0.00	-0.06	-0.06	-0.06
3	0.13	-	-	-0.07	0.16	-	-0.11	-0.08	-0.05	0.00	0.00	0.00	-0.45^*	-0.45^*	-0.45^*
01	0.36^*	0.32	0.35^*	-0.14	-0.15	-0.17	0.00	0.00	0.00	-0.32	-0.32	-0.32	0.23	0.23	0.23
02	0.36^*	0.32	0.35^*	-0.15	-0.19	-0.20	0.03	0.03	0.02	-0.26	-0.26	-0.27	0.10	0.10	0.10
03	0.32	0.32	0.35^*	-0.16	-0.19	-0.20	-0.02	0.00	0.01	-0.23	-0.23	-0.24	-0.11	-0.11	-0.11
12	0.29	0.15	0.03	-0.09	-0.14	-0.14	0.03	0.03	0.02	-0.22	-0.22	-0.22	-0.09	-0.09	-0.09
13	0.24	0.15	0.03	-0.11	-0.14	-0.14	-0.02	0.00	0.01	-0.17	-0.17	-0.18	-0.31	-0.31	-0.30