Large increases of paddy rice area, gross primary production, and grain production in Northeast China during 2000–2017

Xin, Fengfei; Xiao, Xiangming; Dong, Jinwei; Zhang, Geli; Zhang, Yao; Wu, Xiaocui; Li, Xiangping; Zou, Zhenhua; Ma, Jun; Du, Guoming; Zhao, Bin; Li, Bo

doi:10.1016/j.scitotenv.2019.135183

Cited by 134 publications

(77 citation statements)

References 51 publications

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“…The demand for forage has been increasing and 48 million t of high‐quality forage is needed for livestock by 2035 in China as predicted (Liu et al., 2018). The agro–pastoral ecotone of northeastern China is one of the major grain and forage producing areas (Xin et al., 2020) and has faced the dilemma of forage shortage in recent years (Ma and Ma, 2017). Furthermore, a series of concerns, such as low yield, poor nutrition, and insufficient income, exist in forage production in this region, especially in western Jilin (Cao et al., 2008; Ju et al., 2009; Qian et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Sowing ratio determines forage yields and economic benefits of oat and common vetch intercropping

et al. 2021

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Mixtures of annual legumes with cereal grasses in forage production are considered to have great advantages and are extensively used in the agro-pastoral region of China.However, the effect of sowing ratio on forage yields and economic benefits of oat (Avena sativa L.) and common vetch (Vicia sativa L.) intercropping remains largely unknown. A 2 yr field experiment was conducted with seven sowing ratios (sowing ratio of oat as 0, 25, 33, 50, 67, 75, and 100%) for oat and common vetch intercropping in northeastern China. Intercropping showed significant advantages in forage yield, land equivalent ratio (LER), and net income in the 2 yr. Oat was the dominant partner in the mixtures, strongly outcompeting common vetch. A sowing ratio of oat at 50% produced the highest forage yields of 10.8-11.1 t ha -1 in spring seeding and 4.9-7.7 t ha -1 in summer seeding, which were 28.7-66.4% and 12.6-166.9% higher than those in monocultures, respectively, if we considered two years together. In any case, oat forage yield just slightly decreased with a decreasing share in the intercrops, whereas common vetch forage yields strongly decreased. The highest LERs were detected in a sowing ratio of oat at 50%, which was 11-57% higher than other sowing ratios. Similarly, the highest annual net incomes of US$1,336 and $1,088 ha -1 were also obtained in a sowing ratio of oat at 50% in the 2 yr. In conclusion, oat and common vetch intercropping have greater forage yields and economic benefits compared with the corresponding monocultures in the agro-pastoral region of China, and a sowing ratio of oat at 50% is recommended.

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Section: Introductionmentioning

confidence: 99%

Sowing ratio determines forage yields and economic benefits of oat and common vetch intercropping

et al. 2021

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“…The temperate desert region (R1), the temperate grassland region (R2), and the climatic range of the alpine vegetation region on the Qinghai-Tibet Plateau (R3) are restricted by insufficient precipitation or low temperatures and have sparse vegetation and low GPP levels [47][48][49]. Precipitation in the temperate coniferous and deciduous forest mixed forest region (R7) and the cold temperate coniferous forest region (R8) is abundant; vegetation growth in these regions is mainly restricted by temperature and radiation, and the vegetation coverage and GPP are relatively high [50]. The warm temperate deciduous broad-leaved forest region (R6) is an agricultural grain-producing area in North China, and the GPP level in this region is higher than that in the surrounding area [51].…”

Section: Study Regionmentioning

confidence: 99%

Impacts of Heat and Drought on Gross Primary Productivity in China

et al. 2021

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Heat and drought stress, which often occur together, are the main environmental factors limiting the survival and growth of vegetation. Studies on the response of gross primary production (GPP) to extreme climate events such as heat and drought are highly significant for the identification of ecologically vulnerable regions, ecological risk assessments, and ecological environmental protection. We got 1982–2017 climatic data from the University of East Anglia Climatic Research Unit, Norwich, England, and GPP data from National Earth System Science Data Sharing Service Platform, Beijing, China. Using Theil–Sen median trend analysis and the Mann–Kendall test, we analyzed trends in temperature and the standardized precipitation/standardized precipitation evapotranspiration indices in the eight vegetation regions of China. Additionally, the response of GPP to the single and combined impacts of heat and drought were analyzed using multidimensional copula functions, and GPP reduction probabilities were estimated under different drought levels and heat intensities. The results showed that the probability of a drastic GPP reduction increases with increasing drought levels and heat intensities. The combined impacts of heat and drought on vegetation productivity is greater than the impacts of either drought or heat alone and presents a nonlinear superposition of the two extremes. The impact of heat on GPP is not evident when the drought level is high. The temperate grassland and warm temperate deciduous broad-leaved forest regions are the most sensitive regions to drought and heat in China. This study provides a scientific basis for the comprehensive evaluation of the risk of GPP reduction under the single and combined impacts of heat stress and drought stress.

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“…In contrast, though Jilin, Liaoning, and Heilongjiang Province are located in North-East District, one of the most important agricultural production areas in China, showed low D_CCIO. Enjoying the fertile black soil and large-scale management of arable land, the grain sown area in these areas have been proved to increase continuously in recent years [50]. However, the growth rate of input was high (except labor force, all input factors increased by more than 20%, far exceeding the national average level), with a lag in the output on arable land.…”

Section: Differences In the Recessive Transfortion Of Arable Land Usementioning

confidence: 99%

Recessive Transition Mechanism of Arable Land Use Based on the Perspective of Coupling Coordination of Input–Output: A Case Study of 31 Provinces in China

Liu

Yin

Yue

et al. 2021

Land

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In the rapid process of urbanization in China, arable land resources are faced with dual challenges in terms of quantity and quality. Starting with the change in the coupling coordination relationship between the input and output on arable land, this study applies an evaluation model of the degree of coupling coordination between the input and output (D_CCIO) on arable land and deeply analyzes the recessive transition mechanism and internal differences in arable land use modes in 31 provinces on mainland China. The results show that the total amount and the amount per unit area of the input and output on arable land in China have presented different spatio-temporal trends, along with the mismatched movement of the spatial barycenter. Although the D_CCIO on arable land increases slowly as a whole, 31 provinces show different recessive transition mechanisms of arable land use, which is hidden in the internal changes in the input–output structure. The results of this study highlight the different recessive transition patterns of arable land use in different provinces of China, which points to the outlook for higher technical input, optimized planting structure, and the coordination of human-land relationships.

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Large increases of paddy rice area, gross primary production, and grain production in Northeast China during 2000–2017

Cited by 134 publications

References 51 publications

Sowing ratio determines forage yields and economic benefits of oat and common vetch intercropping

Sowing ratio determines forage yields and economic benefits of oat and common vetch intercropping

Impacts of Heat and Drought on Gross Primary Productivity in China

Recessive Transition Mechanism of Arable Land Use Based on the Perspective of Coupling Coordination of Input–Output: A Case Study of 31 Provinces in China

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