globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6440996
论文题名:
基于高时空分辨率的气候变化对全球主要农区气候生产潜力的影响评估
其他题名: Impact Assessment of Climate Change on Climatic Potential Productivity in Global Major Agricultural Regions Based on High Spatial and Temporal Resolution Data
作者: 赵俊芳1; 孔祥娜2; 姜月清3; 钱永兰3
刊名: 生态环境学报
ISSN: 1674-5906
出版年: 2019
卷: 28, 期:1, 页码:1-6
语种: 中文
中文关键词: 高时空分辨率 ; 全球主要农区 ; 气候变化 ; 气候生产潜力
英文关键词: high spatial and temporal resolution data ; global major agricultural regions ; climate change ; climatic potential productivity
WOS学科分类: AGRICULTURE MULTIDISCIPLINARY
WOS研究方向: Agriculture
中文摘要: 气候变化背景下,对全球主要农区气候生产潜力进行定量评估不仅可以反映出该地气候生产潜力水平与光、温、水资源配合协调的程度及地区差异,而且对提高土地生产力水平,指导农牧业生产具有重要意义.以全球主要农业区为研究对象,应用全球高时空分辨率气象格点资料和气候生产潜力模型,评估了1981-2015年气候变化对全球主要农区气候生产潜力的影响.结果表明,(1)1981-2015年全球主要农区气候生产潜力呈波动上升趋势,在7.68-8.28 t·hm~(-2)之间变化,平均为7.97 t·hm~(-2),最大值出现在2010年,最小值出现在1987年.(2)同年际变化相似,气候生产潜力年代际增长也十分明显,其中20世纪80年代和20世纪90年代之间的增长最显著.(3)35年间,全球主要农业区平均农业气候生产潜力空间分布的基本特点是南高北低,区域差异显著.全球农业区主要集中在东亚、南亚、中亚、西亚、南欧、大洋洲南部、南美洲东部和北美洲南部等地,最高值出现在亚洲东南部,为28.9 t·hm~(-2),北美洲南部、大洋洲南部、亚洲中部、非洲中部等地气候生产潜力较低,大部分地区在5.1 t·hm~(-2)以下.(4)35年间,亚洲西南部、中部和北部以及北美洲中部和东南部等地的农业区气候生产潜力显著提高,大部分地区提高了0.00-6.00 t·hm~(-2);而在欧洲大部分地区、南美洲北部和东部、非洲中部和南部以及大洋洲大部分地区气候生产潜力明显减少,变化幅度在-7.99-0.00 t·hm~(-2)之间.总体而言,气候变化对亚洲和北美洲农业区农业生产有利,而对欧洲、南美洲、非洲和大洋洲农业生产不利.
英文摘要: Under climate change, the quantitative assessment of climatic potential productivity in the main agricultural areas of the world can reflect the degree of coordination among light, temperature and water resources and regional differences. Furthermore, it is of great significance for improving the level of land productivity and guiding the production of agriculture and animal husbandry. Taking the global major agricultural region as the research object, and using the high spatial and temporal resolution outputs of meteorological grid data and the climatic potential productivity model, we assessed the impact of climate change on climatic potential productivity in global major agricultural regions from 1981 to 2015. The results showed that: (1) From 1981 to 2015, the annual changes in the climatic potential productivity in global major agricultural regions showed increasing trend fluctuating from7.68 t·hm~(-2) and 8.28 t·hm~(-2), with an average of 7.97 t·hm~(-2). The maximum and the minimum climatic potential productivities were found in 2010 and in 1987, respectively. (2) Similarly to the interannual change, the interdecadal increase of climatic potential productivity was also obvious. The most significant increase was found between 1980s and 1990s. (3) The basic characteristic of the spatial distribution of climatic potential productivity was high in the south and low in the north. Global agricultural regions were mainly concentrated in East Asia, South Asia, Central Asia, Western Asia, Southern Europe, Southern Oceania, eastern South America and southern North America. Over the 35 years, the difference in average climatic potential productivity was significant in different regions. Among them, the highest value appeared in Southeast Asia (28.9 t·hm~(-2)). However, the climate production potential was low in southern North America, Southern Oceania, Central Asia, Central Africa and so on, with the value of below 5.1 t·hm~(-2). And (4) over the 35 years, the climatic potential productivities in the central, northern and southwestern agricultural regions of Asia, and central and southeastern North America evidently increased, and increased by 0.00-6.00 t·hm~(-2) in some areas. However, in most parts of Europe, northern and eastern South America, central and southern Africa, and Oceania, the climatic potential productivities decreased significantly, ranging from -7.99 t·hm~(-2) to 0.00 t·hm~(-2). Overall, climate change was beneficial to agricultural production in the agricultural regions of Asia and North America, and unfavorable to agricultural production in Europe, South America, Africa and Oceania in general.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/157795
Appears in Collections:气候变化事实与影响

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作者单位: 1.中国气象科学研究院, 灾害天气国家重点实验室, 北京 100081, 中国
2.中国气象科学研究院
3.四川农业大学资源学院, 灾害天气国家重点实验室
4.,
5.成都, 北京
6.100081
7.611130, 中国
8.国家气象中心, 北京 100081, 中国

Recommended Citation:
赵俊芳,孔祥娜,姜月清,等. 基于高时空分辨率的气候变化对全球主要农区气候生产潜力的影响评估[J]. 生态环境学报,2019-01-01,28(1):1-6
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