Net primary productivity in grassland ecosystem in Inner Mongolia and its relationship with climate

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

Abstract

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

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[J]. Chin J Plant Ecol, 2010, 34(7): 781-791.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.plant-ecology.com/EN/10.3773/j.issn.1005-264x.2010.07.003

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

Figures/Tables 7

References 24

[1]	Fang JY (方精云) (2000). Global Ecology: Climate Change and Ecological Responses (全球生态学: 气候变化与生态响应). Higher Education Press, Beijing: (in Chinese)
[2]	Fang JY, Piao SL, Tang ZY, Peng CH, Ji W (2001). Interannual variability in net primary production and precipitation. Science, 293, 1723a, doi: 10.1126/science.293.5536.1723a.
[3]	Goward SN, Prince SD (1995). Transient effects of climate on vegetation dynamics: satellite observations. Journal of Biogeography, 22, 549-563.
[4]	Hao YP (郝永萍), Chen YF (陈育峰), Zhang XY (张兴有) (1998). Progress in estimation of net primary productivity and its responses to climate change. Advance in Earth Sciences (地球科学进展), 13, 564-571. (in Chinese with English abstract)
[5]	Huang QX (黄庆旭), Shi PJ (史培军), He CY (何春阳), Li XB (李晓兵) (2006). Modelling land use change dynamics under different aridification scenarios in Northern China. Acta Geographica Sinica (地理学报), 61, 1299-1310. (in Chinese with English abstract)
[6]	Knapp AK, Smith MD (2001). Variation among biomes in temporal dynamics of aboveground primary production. Science, 291, 481-484. URL PMID
[7]	Ma GZ (马国柱), Fu CB (符淙斌) (2001). Trend of surface humid index in the arid area of Northern China. Acta Meteorologica Sinica (气象学报), 59, 737-746. (in Chinese with English abstract)
[8]	Ma GZ (马国柱), Huang G (黄刚), Gan WQ (甘文强), Chen ML (陈明林) (2005). Multi-scale temporal characteristics of the dryness/wetness over Northern China during the last century. Chinese Journal of Atmospheric Sciences (大气科学), 29, 671-681. (in Chinese with English abstract)
[9]	Mohamed MAA, Babiker IS, Chen ZM, Ikeda K, Kato K (2004). The role of climate variability in the inter-annual variation of terrestrial net primary production (NPP). Science of Total Environment, 332, 123-137.
[10]	Nemani RR, Keeling CD, Hashimoto H, Jolly WM (2003). Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science, 300, 1560-1563. URL PMID
[11]	Ni J (倪健) (1997). Development of Kira’s indices and its application to vegetation-climate interaction study of China. Chinese Journal of Applied Ecology (应用生态学报), 8, 161-170. (in Chinese with English abstract)
[12]	Pinzon J, Brown ME, Tucker CJ (2005). Satellite time series correction of orbital drift artifacts using empirical mode decomposition. In: Huang N ed. Hibert-Huang Tran- sform: Introduction and Applications. World Scientific, Hackensack NJ, USA. 167-186.
[13]	Raich JW, Rastetter EB, Melillo JM, Kicklighter DW, Steudler PA, Peterson BJ, Grace AL, Moore III B, Vörösmarty CJ (1991). Potential net primary production in South America: application of a global model. Ecological Applications, 1, 399-429. URL PMID
[14]	Sala OE, Biondini ME, Lauenoroth WK (1988). Primary production of the central grasslands region of the United States. Ecology, 69, 40-45.
[15]	Sala OE, Chapin III FS, Armesto JJ, Berlow E, Bloomfield J, Dirzo R, Huber-Sanwald E, Huenneke LF, Jackson RB, Kinzig A, Leemans R, Lodge DM, Mooney HA, Oesterheld M, Poff NL, Sykes MT, Walker BH, Walker M, Wall DH (2000). Global biodiversity scenarios for the year 2100. Science, 287, 1771-1774.
[16]	Scurlock JMO, Cramer W, Cramer W, Olson RJ, Parton WJ, Prince SD (1999). Terrestrial NPP: towards a consistent data set for global model evaluation. Ecological Applications, 9, 913-919.
[17]	Tucker CJ, Pinzon JE, Brown ME, Slayback DA, Pak EW, Mahoney R, Vermote EF, Saleous NE (2005). An extended AVHRR 8-km NDVI data set compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing, 26, 4485-4498.
[18]	Xiao X, Ojima D (1996). NPP grassland: Xilingol, China, 1980-1989. Data set: Available on-line from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA. http://www.daac.ornl.gov.
[19]	Xu WD (徐文铎) (1983). The relation between distribution of edificator and companion in zonal vegetation and water-temperature condition in Northeast China. Acta Botanica Sinica (植物学报), 25, 264-274. (in Chinese with English abstract)
[20]	Yim Y, Kira T (1975). Distribution of forest vegetation and climate in the Korean Peninsula. I. Distribution of some indices of thermal climate. Japanese Journal of Ecology, 25, 77-88.
[21]	Yim Y, Kira T (1976). Distribution of forest vegetation and climate in the Korean Peninsula. II. Distribution of climatic humidity/aridity. Japanese Journal of Ecology, 26, 157-164.
[22]	Zhang XS (张新时) (2008). Vegetation Map of the People’s Republic of China (中华人民共和国植被图) (1:1000000) (Digital Version). Geology Press, Beijing. (in Chinese)
[23]	Zhang XX (张学霞), Ge QS (葛全胜), Zheng JY (郑景云) (2004). Relationships between climate change and vegetation in Beijing using remote sensed data and phonological data. Acta Phytoecologica Sinica (植物生态学报), 28, 499-506. (in Chinese with English abstract)
[24]	Zhu WQ (朱文泉), Pan YZ (潘耀忠), Zhang JS (张锦水) (2007). Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing. Journal of Plant Ecology (Chinese Version) (植物生态学报), 31, 413-424. (in Chinese with English abstract)

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