Trend Analysis of Relationship between Primary Productivity, Precipitation and Temperature in Inner Mongolia

Assessing the inter-annual variation of regional grassland productivity is imperative to meet the local requirements of grassland adaptive management at regional- or landscape- scale. For the semiarid grassland of Inner Mongolia, the improved CASA model, a kind of light-energy-efficiency model, was used to simulate the Net Primary Productivity (NPP) of the regional grassland. And this study further calculated the Standard Deviation (SD) and Coefficient of Variation (CV) of the regional NPP. Both of SD and CV were used to reflect the fluctuations of regional NPP in the study area among years. Approximately 1/3 of the regional NPP over the years were dramatically changed, frequently up to large amplitude by an average rate of 1 times or more.

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Trend analysis and change point detection of annual and seasonal precipitation and temperature series over southwest Iran

Journal of Earth System Science ◽

10.1007/s12040-013-0395-7 ◽

2014 ◽

Vol 123 (2) ◽

pp. 281-295 ◽

Cited By ~ 51

Author(s):

MOHAMMAD ZARENISTANAK ◽

AMIT G DHORDE ◽

R H KRIPALANI

Keyword(s):

Trend Analysis ◽

Change Point ◽

Temperature Series ◽

Change Point Detection ◽

Seasonal Precipitation ◽

Southwest Iran ◽

Point Detection ◽

Precipitation And Temperature

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Spatial-temporal distribution of net primary productivity and its relationship with climate factors in Inner Mongolia from 2001 to 2010

Acta Ecologica Sinica ◽

10.5846/stxb201205030638 ◽

2013 ◽

Vol 33 (12) ◽

pp. 3752-3764 ◽

Cited By ~ 6

Author(s):

穆少杰 MU Shaojie ◽

李建龙 LI Jianlong ◽

周伟 ZHOU Wei ◽

杨红飞 YANG Hongfei ◽

章超斌 ZHANG Chaobin ◽

...

Keyword(s):

Primary Productivity ◽

Inner Mongolia ◽

Net Primary Productivity ◽

Temporal Distribution ◽

Climate Factors

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Effects of precipitation timing on aboveground net primary productivity in inner mongolia temperate steppe

Acta Ecologica Sinica ◽

10.5846/stxb201205030636 ◽

2013 ◽

Vol 33 (15) ◽

pp. 4808-4817 ◽

Cited By ~ 2

Author(s):

郭群 GUO Qun ◽

胡中民 HU Zhongmin ◽

李轩然 LI Xuanran ◽

李胜功 LI Shenggong

Keyword(s):

Primary Productivity ◽

Inner Mongolia ◽

Net Primary Productivity ◽

Temperate Steppe ◽

Aboveground Net Primary Productivity ◽

Precipitation Timing

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Homogeneity Evaluation of Historical Rainfall and Temperature Series in Mato Grosso

Journal of Experimental Agriculture International ◽

10.9734/jeai/2019/v35i330205 ◽

2019 ◽

pp. 1-7

Author(s):

Elizangela Selma da Silva ◽

José Holanda Campelo Júnior ◽

Francisco De Almeida Lobo ◽

Ricardo Santos Silva Amorim

Keyword(s):

Trend Analysis ◽

Minimum Temperature ◽

Statistical Tests ◽

Kendall Test ◽

Maximum Temperature ◽

Data Series ◽

Positive Trend ◽

Mato Grosso ◽

Temperature Climate ◽

Precipitation And Temperature

The homogeneity investigation of a series can be performed through several nonparametric statistical tests, which serve to detect artificial changes or non-homogeneities in climatic variables. The objective of this work was to evaluate two methodologies to verify the homogeneity of the historical climatological series of precipitation and temperature in Mato Grosso state. The series homogeneity evaluation was performed using the following non-parametric tests: Wald-Wolfowitz (for series with one or no interruption), Kruskal-Wallis (for series with two or more interruptions), and Mann-Kendall (for time series trend analysis). The results of the precipitation series homogeneity analysis from the National Waters Agency stations, analyzed by the Kruskal-Wallis and Wald-Wolfowitz tests, presented 61.54% of homogeneous stations, being well distributed throughout Mato Grosso state, whereas those of the trend analysis allowed to identify that 87.57% of the rainfall-gauging stations showed a concentrated positive trend, mainly in the rainy season. Out of the conventional stations of the National Institute of Meteorology of Mato Grosso, seven were homogeneous for the precipitation variable, five for maximum temperature and four stations were homogeneous for minimum temperature. For the trend analysis in the 11 stations, positive trends of random nature were observed, suggesting increasing alterations in the analyzed variables. Therefore, the trend analysis performed by the Mann-Kendall test in the precipitation, and maximum and minimum temperature climate series, indicated that several data series showed increasing trends, suggesting a possible increase in precipitation and temperature values over the years. The results of the Kruskal-Wallis and Wald-Wolfowitz tests for homogeneity presented more than 87% of homogeneous stations.

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