Water-energy-carbon emissions nexus analysis of crop production in the Tarim river basin, Northwest China

Feng, Meiqing; Chen, Yaning; Duan, Weili; Zhu, Ziyang; Wang, Chuan; Hu, Yanan

doi:10.1016/j.jclepro.2023.136566

Cited by 20 publications

(5 citation statements)

References 81 publications

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“…The impact of the PR alone on the efficiency is 0.055287211, which is smaller than those of the PR-ED, PR-IE, PR-SC, PR-PT, and PT-HM interactions. The impact of the ST [37] alone on the tourism ecological efficiency is 0.46481257, which is weaker than those of the ST-ED, ST-IE, ST-SC, ST-PT, ST-HM, and ST-PR interactions. The impact of the ET alone on the tourism ecological efficiency is 0.166998547, which is smaller than those of the ET-ED, ET-IE, ET-SC, ET-PT, ET-HM, and ET-PR interactions.…”

Section: Analysis Of Detection Resultsmentioning

confidence: 87%

The Spatiotemporal Characteristics and Driving Factors of Regional Ecological Efficiency in the Tourism Sector

Deng,

Chen

2024

Sustainability

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Improving tourism’s ecological efficiency and facilitating harmony between tourism development and the ecological environment are profitable and conducive to sustainable development. In this study, we investigated the relationship between tourism’s eco-efficiency for sustainable tourism development and environmental protection by incorporating unexpected outputs to calculate tourism’s eco-efficiencies, analyzing the three-dimensional spatial variation and, finally, considering the effects of nine comprehensive factors on the extent of the spatial variation in tourism efficiencies: economic development, openness, social consumption, the digital economy, transportation infrastructure, government intervention, technological innovation, energy consumption, and passenger turnover. First, an unexpected slack-based measure model was applied to calculate the tourism ecological efficiencies of 21 cities in Guangdong Province from 2009 to 2021. Second, the natural breakpoint method and trend surface analysis were used to identify the spatiotemporal differences in and spatial trends of these tourism ecological efficiencies. Finally, the geographical detector model was utilized to analyze the elements affecting the spatial and temporal differences in the tourism ecological efficiencies. Overall, the tourism ecological efficiencies of 21 cities in Guangdong Province are at a high level, showing obvious spatiotemporal changes. Compared with 2009 and 2021, the overall tourism ecological efficiencies of 21 cities in Guangdong Province shifted from a trend of high in the north, low in the south, low in the west, and high in the east to a trend of low in the north, low in the south, high in the west, and low in the east. The distribution in the north–south and east–west directions is in a “U” shape, and the spatial differences in the north–south and east–west directions are relatively significant. We suggest considering the roles of factors such as the development of the digital economy, the level of government intervention, the level of technical innovation, the driving force of transportation, the standard of the transportation infrastructure, and the standard of social consumption. This study provides a constructive approach to elevating the tourism ecological efficiencies of 21 cities in Guangdong Province with regards to the nine driving factors.

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Section: Analysis Of Detection Resultsmentioning

confidence: 87%

The Spatiotemporal Characteristics and Driving Factors of Regional Ecological Efficiency in the Tourism Sector

Deng,

Chen

2024

Sustainability

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“…In this experiment area in Tarim River Basin, under the conventional N with maize, the soil sand content is large and the fertilizer retention ability is poor, which creates a high risk of NO 3 − –N leaching in this area (Zhang, An, et al, 2022; Zhang, Zeng, et al, 2022). According to the Xinjiang Statistical Yearbook, the use of chemical fertilizers (especially N) has been increasing (Feng et al, 2023). Zhang, Huang, et al (2021) and Zhang, Meng, et al (2021) found that the average N fertilizer input 378 kg N ha −1 , which was obviously higher than the national average.…”

Section: Discussionmentioning

confidence: 99%

“…The Tarim River Basin is a specific region in northwest China where agriculture is developing very fast (Huang et al, 2012) and cultivated land used increased from 4% to 11% from 2000 to 2019 (Li et al, 2022). Moreover, the energy input of fertilizers increased by 9.1 × 10 5 t from 1990 to 2019 (Feng et al, 2023). These bring great environmental challenges to intensive agriculture and raise concerns that the expansion of farmland may have negatively affected soil C and N balances in the Tarim River basin's fragile inland ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Optimized fertilization mitigated carbon and nitrogen losses in a Solonchak

Zhang,

Liu,

Feng

et al. 2024

European J Soil Science

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With the rapid expansion of agriculture on saline–alkaline soils, environmental problems such as increased greenhouse gas (GHG) emissions, eutrophication and soil degradation are becoming increasingly serious. To clarify the characteristics of carbon (C) and nitrogen (N) cycling and their loss mechanisms in cultivated saline–alkaline soils, an undisturbed soil column experiment was conducted to analyse C and N leaching and GHG emissions by applying different fertilizer rates. The experiment had six treatments using N‐(NH4)SO4 over a 40‐day seedling stage, with and without maize. Treatments were: no N with maize (0Nmaize: 0 kg N ha−1), reduced N with maize (RNmaize: 63 kg N ha−1), conventional N with maize (CNmaize: 160 kg N ha−1) and their equivalents without maize (0Nsoil: 0 kg N ha−1; RNsoil: 63 kg N ha−1; CNsoil: 160 kg N ha−1). The results indicated that reduced N with maize reduced the N2O emission by 21%, with N leaching (TN: 41%, NO3−–N: 19%, NH4+ − N: 63%) within 15 days after fertilization, but had no significant effect on CH4 emission compared to conventional N with maize. Therefore, reduced N with maize had the smallest N loss, which accounted for 1.5% of the relative percentage of N flow including N2O (0.3%), N leaching (2%), aboveground biomass N (76%) and root biomass N (22%). Compared to conventional N with maize, reduced N with maize significantly reduced N leaching by 40% because conventional N with maize greatly exceeded the crop N uptake when maize root length was only within 20 cm. Reduced N without maize reduced CO2 emission (19%) compared to conventional N without maize. Uncultivated saline–alkaline soils face greater N overuse and leaching risk because higher NO3−–N leaching (6.9 mg L−1) that occurred in bare soils without fertilization, which increased by 2.6–3.6 times when the N input increased from 63 to 160 kg N ha−1 compared to control. In conclusion, reducing conventional N fertilizer inputs by 60% is not only an effective strategy to reduce CO2 and N2O emission and N leaching but also effectively absorbs C, and the N retained in the soil tillage layer can help to meet maize seedling growth requirements in Solonchaks.

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“…However, only a limited number of studies have been conducted on the carbon-water-energy nexus in the agricultural sector [92,93] . Carbon, water, and energy are all indispensable parts of the production process of the agricultural sector.…”

Section: Research On the Nexus Of Carbon With Other Footprintsmentioning

confidence: 99%

Carbon footprint in agriculture sector: a literature review

Zhang¹,

Zhao²,

Long³

et al. 2023

Carbon Footprints

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As the climate problem becomes more serious, controlling greenhouse gas emissions has become an overarching issue facing all countries. The agriculture sector is one of the main sources of carbon emissions. The measurement of its carbon footprint not only can quantitatively evaluate agricultural greenhouse gas emissions but also provide technical support for low-carbon agricultural construction. However, most reviews focus on the carbon footprint of manufacturing or international trade. Thus, this study selects the agriculture sector and summarizes the literature associated with the carbon footprint. First, this paper analyzes the different definitions of carbon footprint at macroscopic and microscopic levels. Then, Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis is used to summarize the advantages and disadvantages of two main accounting methods, Life Cycle Assessment (LCA) and Input-Output Analysis (IOA). Third, the research on carbon footprint in the agricultural sector is concluded and quantified using CiteSpace. Therefore, this paper gives the implications and prospects of carbon footprint in the agriculture sector. It is necessary to further agree on the definition of carbon footprint and consider other pollutants, water, and energy footprints to optimize agricultural management. Additionally, establishing a carbon footprint accounting model in line with local realities will provide scientific support for developing low-carbon agriculture.

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Water-energy-carbon emissions nexus analysis of crop production in the Tarim river basin, Northwest China

Cited by 20 publications

References 81 publications

The Spatiotemporal Characteristics and Driving Factors of Regional Ecological Efficiency in the Tourism Sector

The Spatiotemporal Characteristics and Driving Factors of Regional Ecological Efficiency in the Tourism Sector

Optimized fertilization mitigated carbon and nitrogen losses in a Solonchak

Carbon footprint in agriculture sector: a literature review

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