Energy Consumption, Carbon Emissions and Global Warming Potential of Wolfberry Production in Jingtai Oasis, Gansu Province, China
Energy Consumption, Carbon Emissions and Global Warming Potential of Wolfberry Production in Jingtai Oasis, Gansu Province, China
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甘肃景泰绿洲枸杞生产能耗、碳排放及全球变暖潜势
DOI：
10.1007/s00267-019-01225-z
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发表时间：
2019-11
影响因子：
3.5
通讯作者：
McDonagh John
中科院分区：
文献类型：
--
作者：
Wang Yaolin;Ma Quanlin;Li Yingke;Sun Tao;Jin Hujia;Zhao Chuanyan;Milne Eleanor;Easter Mark;Paustian Keith;Yong Hoi Wen Au;McDonagh John
在过去的十年中，中国的农业食品产量快速增长，同时伴随着化肥、农药和能源密集使用带来的温室气体（GHG）排放和其他环境污染物增加的挑战。了解作物生产的能源使用和环境影响将有助于确定农业生产的环境破坏热点，从而评估环境影响并优化作物管理策略。枸杞是一种重要的经济树种，不仅是农村经济的重要作物，而且从生态学的角度来看，枸杞在中国的种植中广泛采用常规耕作方式。以甘肃景泰黄河灌区枸杞生产系统为研究对象，研究了系统的能源利用和全球变暖潜势（GWP）。随机抽取52个家庭农场进行问卷调查。生产系统的总能量输入为321,800.73，总能量输出为166,888.80 MJ ha−1。能源投入比重最高的是提升灌溉水耗电量，占68.52%，其次是化肥施用量，占11.37%。当考虑水果和修剪过的木材时，能源利用效率为0.52。不可再生能源的使用（88.52%）远远大于可再生能源的投入。电力、氮肥、磷肥、柴油、钾肥分别占GWP的64.52%、27.72%、5.07%、2.32%和0.37%。灌溉用电量占比最高，其次是氮肥用量。枸杞种植系统的总GWP为26,018.64 kg CO2eq ha - 1，其中CO2、N2O和ch4的份额分别为99.47%、0.48%和可忽略，其中CO2占主导地位。减少能源使用和减缓温室气体排放的途径包括：转向低碳农业，建立可持续和清洁的生产系统，并可通过采用季节性梯度水价制度和先进灌溉技术提高用水效率；减少合成肥料的使用；政策支持：小农农田转移（集中）用于规模化生产、信贷（小额低息信贷）和税收减免。
During the last decade, China's agro-food production has increased rapidly and been accompanied by the challenge of increasing greenhouse gas (GHG) emissions and other environmental pollutants from fertilizers, pesticides, and intensive energy use. Understanding the energy use and environmental impacts of crop production will help identify environmentally damaging hotspots of agro-production, allowing environmental impacts to be assessed and crop management strategies optimized. Conventional farming has been widely employed in wolfberry (Lycium barbarum) cultivation in China, which is an important cash tree crop not only for the rural economy but also from an ecological standpoint. Energy use and global warming potential (GWP) were investigated in a wolfberry production system in the Yellow River irrigated Jingtai region of Gansu. In total, 52 household farms were randomly selected to conduct the investigation using questionnaires. Total energy input and output were 321,800.73 and 166,888.80 MJ ha−1, respectively, in the production system. The highest share of energy inputs was found to be electricity consumption for lifting irrigation water, accounting for 68.52%, followed by chemical fertilizer application (11.37%). Energy use efficiency was 0.52 when considering both fruit and pruned wood. Nonrenewable energy use (88.52%) was far larger than the renewable energy input. The share of GWP of different inputs were 64.52% electricity, 27.72% nitrogen (N) fertilizer, 5.07% phosphate, 2.32% diesel, and 0.37% potassium, respectively. The highest share was related to electricity consumption for irrigation, followed by N fertilizer use. Total GWP in the wolfberry planting system was 26,018.64 kg CO2eq ha−1and the share of CO2, N2O, and CH4were 99.47%, 0.48%, and negligible respectively with CO2being dominant. Pathways for reducing energy use and GHG emission mitigation include: conversion to low carbon farming to establish a sustainable and cleaner production system with options of raising water use efficiency by adopting a seasonal gradient water pricing system and advanced irrigation techniques; reducing synthetic fertilizer use; and policy support: smallholder farmland transfer (concentration) for scale production, credit (small- and low-interest credit) and tax breaks.
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影响因子：
9
作者：
S. Ghatrehsamani;R. Ebrahimi;S. Kazi;Ahmad Badry;E. Sadeghinezhad
通讯作者：
S. Ghatrehsamani;R. Ebrahimi;S. Kazi;Ahmad Badry;E. Sadeghinezhad
影响因子：
6
作者：
B. Ozkan;A. Kürklü;H. Akcaoz
通讯作者：
B. Ozkan;A. Kürklü;H. Akcaoz
DOI：
10.1080/13504500709469740
发表时间：
2007-08
影响因子：
5.6
作者：
Mingxin Wang;Wenliang Wu;Wenna Liu;Y. Bao
通讯作者：
Mingxin Wang;Wenliang Wu;Wenna Liu;Y. Bao
影响因子：
15.9
作者：
Ahmad Mohammadshirazi;A. Akram;S. Rafiee;Seyyed Hashem Mousavi Avval;Elnaz Bagheri Kalhor
通讯作者：
Ahmad Mohammadshirazi;A. Akram;S. Rafiee;Seyyed Hashem Mousavi Avval;Elnaz Bagheri Kalhor
中国粮食生产碳足迹（1979-2009）
影响因子：
11.1
作者：
Lin Jianyi;Hu Yuanchao;Xu Lilai
通讯作者：
Xu Lilai