Scientia Agricultura Sinica ›› 2020, Vol. 53 ›› Issue (13): 2743-2756.doi: 10.3864/j.issn.0578-1752.2020.13.021

• ECOLOGICAL INDUSTRY PRACTICE AND REGIONAL SCALE PROCESSES • Previous Articles     Next Articles

Temporal and Spatial Variation of Productivity and Its Response to Climate in Semi-Arid Pasture of Forage Harvesting Area

MAO PingPing,SHEN BeiBei,DING Lei,ZHU XiaoYu,XIN XiaoPing(),YAN YuChun,WANG Xu,YAN RuiRui,XU LiJun,CHEN BaoRui   

  1. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Hulunbuir Grassland Ecosystem Observation and Research Station, Beijing 100081
  • Received:2019-09-15 Accepted:2020-04-01 Online:2020-07-01 Published:2020-07-16
  • Contact: XiaoPing XIN E-mail:xinxp@sina.com

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Abstract:

【Objective】 This study aimed to simulate the productivity of hay-land in the semi-arid pastoral region, to evaluate the grassland degradation and to explore the impact of climate on grassland production. 【Method】 The potential productivity of hay-land from 2000 to 2017 was calculated by using Miami and Thornthwaite model, and compared with the MODIS NPP products (MOD17A2H), which represented the actual productivity. 【Result】 From 2000 to 2017, both actual productivity and potential productivity of hay-land in semi-arid pastoral region increased with rising precipitation, with mean value of 295.24 and 557.79 g C?m-2?a-1, respectively. Both the potential and actual productivity were the highest in meadow steppe, which were 589.68 and 349.78 g C?m-2?a-1, respectively, and with the lowest coefficient of variation. The potential productivity was the lowest in mountainous meadow with an average value of 518.72 g C?m-2?a-1, while the actual productivity was the lowest in the typical steppe with 269.52 g C?m-2?a-1. The inter-annual change rate of potential productivity was the highest in the meadow steppe, which was 6.30 g C?m-2?a-1, and the actual productivity was the highest in mountainous meadow with 4.44 g C?m-2?a-1. The actual productivity showed significant positive relationship with precipitation in 95.88% of the hay-land steppe, however, showed negative correlation with temperature in 5.70% of the area. 【Conclusion】 The climatic production potential of forage harvesting area increased from west to east. Under the influence of hydrothermal conditions, the actual productivity gradually decreased in the east and west foothills of the Daxing’an Mountain range, and its response to precipitation was higher than that of temperature. The average annual utilization rate of climate resources was the same as the actual productivity, and the average utilization rate of climate resources was 55.09%. The grassland of meadow grassland had the highest utilization rate of climate resources, which was as high as 60.34%.

Key words: climate productivity potential, actual productivity, forage harvesting area, climate resources utilization

Fig. 1

Distribution of grassland types of cutting pasture 审图号:GS（2020）2229号"

Fig. 2

The consistency test of measured value and simulated value"

Fig. 3

The climate potential productivity (A) and its dynamic coefficient of variation (B) and change slope (C) of in cutting pasture 审图号:GS（2020）2229号"

Fig. 4

Inter annual changes climate potential productivity in different grassland types of cutting pasture"

Table 1

18-years average annual climate potential production in different grassland types of cutting pasture"

草地类型
Grassland type		 温度
t
(℃)		 降水
p
(mm)		 蒸散量
v
(mm)		 由温度决定的植物干物质产量
Wt (g C?m-2?a-1)		 由降水决定的植物干物质产量
Wp (g C?m-2?a-1)		 由蒸散量决定的植物干物质产量
Wv (g C?m-2?a-1)		 气候生产潜力
W
(g C?m-2?a-1)		 限制因子Limiting factor
草甸草原 Meadow steppe 2.32 368.76 360.41 794.92 647.12 623.09 623.09 V
山地草甸 Mountain steppe 0.77 315.40 319.89 688.27 563.66 545.13 545.13 V
典型草原 Typical steppe 2.47 304.84 364.03 802.22 546.47 565.75 546.47 p
低地草甸 Lowland steppe 1.78 322.70 346.30 756.91 574.74 568.62 568.62 V

Fig. 5

The actual productivity (A) and its dynamic coefficient of variation (B) and change slope (C) of in cutting pasture 审图号:GS（2020）2229号"

Fig. 6

Mean actual productivity of different grassland types from 2000 to 2017"

Fig. 7

The spatial distribution of significant level between actual productivity with precipitation(A, B) and temperature (C,D) and the pixel frequency 审图号:GS（2020）2229号"

Table 2

Statistical tables of correlation coefficients between actual productivity and precipitation for different grassland types"

草地类型
Grassland type		 相关性系数区间所占面积分配比 Area distribution ratio of correlation coefficients interval (%)
显著负相关
Negative correlation		 不显著相关
Not significantly correlation		 显著正相关
Positive correlation
-1.000—-0.693*** -0.693—-0.575** -0.575—-0.456* -0.456—0.456 0.456—0.575* 0.575—0.693** 0.693—1.000***
草甸草原
Meadow steppe		 0.00 0.01 0.05 4.37 7.05 21.41 67.11
山地草甸
Mountain steppe		 0.00 0.00 0.00 2.52 9.17 15.36 72.95
典型草原
Typical steppe		 0.00 0.00 0.00 2.87 5.20 16.77 75.16
低地草甸
Lowland steppe		 0.01 0.01 0.02 1.79 3.36 16.31 78.50
总计Total 0.00 0.01 0.02 3.09 5.45 18.04 73.39

Table 3

Statistical tables of actual productivity and temperature correlation coefficients for different grassland types"

草地类型
Grassland type		 相关性系数区间所占面积分配比 Area distribution ratio of correlation coefficient interval (%)
显著负相关
Negative correlation		 不显著相关
Not significantly correlation		 显著正相关
Positive correlation
-1.000—-0.693*** -0.693—-0.575** -0.575—-0.456* -0.456—0.456 0.456—0.575* 0.575—0.693** 0.693—1.000***
草甸草原
Meadow steppe		 0.00 0.22 2.39 97.38 0.00 0.00 0.00
山地草甸
Mountain steppe		 0.00 0.00 2.98 97.02 0.00 0.00 0.00
典型草原
Typical steppe		 0.00 0.26 6.62 93.13 0.00 0.00 0.00
低地草甸
Lowland steppe		 0.02 0.57 7.13 92.28 0.00 0.00 0.00
总计Total 0.01 0.31 5.38 94.31 0.00 0.00 0.00

Fig. 8

The distribution of 18-year average climate resources utilization (A) and the pixel frequency of cutting pasture (B) 审图号:GS（2020）2229号"

Fig. 9

The difference between potential productivity and actual productivity of cutting pasture from 2000 to 2017"

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