• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

1990 年至 2015 年中国东北地区玉米潜在产量和产量差距的时空动态

Spatio-Temporal Dynamics of Maize Potential Yield and Yield Gaps in Northeast China from 1990 to 2015.

机构信息

College of Earth Sciences, Jilin University, Changchun 130012, China.

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.

出版信息

Int J Environ Res Public Health. 2019 Apr 4;16(7):1211. doi: 10.3390/ijerph16071211.

DOI:10.3390/ijerph16071211
PMID:30987325
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6480490/
Abstract

Maize yield has undergone obvious spatial and temporal changes in recent decades in Northeast China. Understanding how maize potential yield has changed over the past few decades and how large the gaps between potential and actual maize yields are is essential for increasing maize yield to meet increased food demand in Northeast China. In this study, the spatial and temporal dynamics of maize potential yield in Northeast China from 1990 to 2015 were simulated using the Global Agro-ecological Zones (GAEZ) model at the pixel level firstly. Then, the yield gaps between actual and potential yields were analyzed at city scale. The results were the following. (1) The maize potential yield decreased by about 500 kg/ha and the potential production remained at around 260 million tonnes during 1990-2000. From 2000 to 2015, the maize potential yield and production increased by approximately 1000 kg/ha and 80 million tonnes, respectively. (2) The maize potential yield decreased in most regions of Northeast China in the first decade, such as the center area (CA), south area (SA), southwest area (SWA), and small regions in northeast area (NEA), due to lower temperature and insufficient rainfall. The maize potential yield increased elsewhere. (3) The maize potential yield increased by more than 1000 kg/ha in the center area (CA) in the latter 15 years, which may be because of the climate warming and sufficient precipitation. The maize potential yield decreased elsewhere and Harbin in the center area (CA). (4) In 40 cities of Northeast China, the rates of actual yield to potential yield in 17 cities were higher than 80%. The actual yields only attained 50-80% of the potential yields in 20 cities. The gaps between actual and potential yields in Hegang and Dandong were very large, which need to be shrunk urgently. The results highlight the importance of coping with climate change actively, arranging crop structure reasonably, improving farmland use efficiency and ensuring food security in Northeast China.

摘要

近几十年来,中国东北地区的玉米产量经历了明显的时空变化。了解过去几十年玉米潜在产量的变化情况,以及潜在产量与实际产量之间的差距有多大,对于增加玉米产量以满足东北地区日益增长的粮食需求至关重要。本研究首先利用全球农业生态区模型(GAEZ)在像素水平上模拟了 1990 年至 2015 年中国东北地区玉米潜在产量的时空动态,然后在城市尺度上分析了实际产量与潜在产量之间的产量差距。结果表明:(1)1990-2000 年,玉米潜在产量减少了约 500kg/ha,潜在产量保持在 2.6 亿吨左右;2000-2015 年,玉米潜在产量和产量分别增加了约 1000kg/ha 和 8000 万吨。(2)在第一个十年,中国东北地区大部分地区(如中心区、南区、西南区和东北小地区)的玉米潜在产量下降,这主要是由于温度较低和降雨量不足。其他地区的玉米潜在产量则有所增加。(3)在后 15 年,中心区(CA)的玉米潜在产量增加了 1000kg/ha 以上,这可能是由于气候变暖以及降水充足。其他地区以及中心区的哈尔滨玉米潜在产量则有所下降。(4)在东北 40 个城市中,有 17 个城市的实际产量达到潜在产量的 80%以上;有 20 个城市的实际产量仅达到潜在产量的 50%-80%;鹤岗和丹东的实际产量与潜在产量之间的差距非常大,亟待缩小。研究结果强调了积极应对气候变化、合理安排作物结构、提高耕地利用效率和确保东北地区粮食安全的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/bc0dfa895d6d/ijerph-16-01211-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/4fe6d1449cf7/ijerph-16-01211-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/3b276acdf1b0/ijerph-16-01211-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/aee5cfa5044e/ijerph-16-01211-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/a72aa14a6eee/ijerph-16-01211-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/5241a32d1583/ijerph-16-01211-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/b11eaa5c8605/ijerph-16-01211-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/289fa2d684bf/ijerph-16-01211-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/b2dc07250a5c/ijerph-16-01211-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/bc2bd7ca68e1/ijerph-16-01211-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/bc0dfa895d6d/ijerph-16-01211-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/4fe6d1449cf7/ijerph-16-01211-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/3b276acdf1b0/ijerph-16-01211-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/aee5cfa5044e/ijerph-16-01211-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/a72aa14a6eee/ijerph-16-01211-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/5241a32d1583/ijerph-16-01211-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/b11eaa5c8605/ijerph-16-01211-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/289fa2d684bf/ijerph-16-01211-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/b2dc07250a5c/ijerph-16-01211-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/bc2bd7ca68e1/ijerph-16-01211-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d979/6480490/bc0dfa895d6d/ijerph-16-01211-g010.jpg

相似文献

1
Spatio-Temporal Dynamics of Maize Potential Yield and Yield Gaps in Northeast China from 1990 to 2015.1990 年至 2015 年中国东北地区玉米潜在产量和产量差距的时空动态
Int J Environ Res Public Health. 2019 Apr 4;16(7):1211. doi: 10.3390/ijerph16071211.
2
Simulating Land-Use Changes and Predicting Maize Potential Yields in Northeast China for 2050.模拟 2050 年中国东北地区土地利用变化及预测玉米潜在产量。
Int J Environ Res Public Health. 2021 Jan 22;18(3):938. doi: 10.3390/ijerph18030938.
3
[Comparison of potential yield and resource utilization efficiency of main food crops in three provinces of Northeast China under climate change].气候变化下东北三省主要粮食作物的潜在产量与资源利用效率比较
Ying Yong Sheng Tai Xue Bao. 2015 Oct;26(10):3091-102.
4
[Spatial-temporal variations of spring maize potential yields in a changing climate in Northeast China.].[气候变化下中国东北春玉米潜在产量的时空变化。]
Ying Yong Sheng Tai Xue Bao. 2018 Jan;29(1):103-112. doi: 10.13287/j.1001-9332.201801.012.
5
Patterns of Cereal Yield Growth across China from 1980 to 2010 and Their Implications for Food Production and Food Security.1980年至2010年中国谷物产量增长模式及其对粮食生产和粮食安全的影响。
PLoS One. 2016 Jul 12;11(7):e0159061. doi: 10.1371/journal.pone.0159061. eCollection 2016.
6
Maize yield gaps caused by non-controllable, agronomic, and socioeconomic factors in a changing climate of Northeast China.气候变化背景下中国东北地区不可控、农艺和社会经济因素对玉米产量的影响
Sci Total Environ. 2016 Jan 15;541:756-764. doi: 10.1016/j.scitotenv.2015.08.145. Epub 2015 Oct 2.
7
The central trend in crop yields under climate change in China: A systematic review.气候变化下中国作物产量的集中趋势:系统综述。
Sci Total Environ. 2020 Feb 20;704:135355. doi: 10.1016/j.scitotenv.2019.135355. Epub 2019 Nov 23.
8
Yield gap analysis of major food crops in Pakistan: prospects for food security.巴基斯坦主要粮食作物的产量差距分析:粮食安全展望。
Environ Sci Pollut Res Int. 2021 Feb;28(7):7994-8011. doi: 10.1007/s11356-020-11166-4. Epub 2020 Oct 12.
9
How does climate change affect potential yields of four staple grain crops worldwide by 2030?气候变化将如何影响 2030 年全球四种主要粮食作物的潜在产量?
PLoS One. 2024 May 31;19(5):e0303857. doi: 10.1371/journal.pone.0303857. eCollection 2024.
10
[Carbon footprints of major staple grain crops production in three provinces of Northeast China during 2004-2013.].2004 - 2013年中国东北三省主要粮食作物生产的碳足迹
Ying Yong Sheng Tai Xue Bao. 2016 Oct;27(10):3307-3315. doi: 10.13287/j.1001-9332.201610.036.

引用本文的文献

1
The neglected role of abandoned cropland in supporting both food security and climate change mitigation.被忽视的废弃耕地在保障粮食安全和减缓气候变化方面的作用。
Nat Commun. 2023 Sep 28;14(1):6083. doi: 10.1038/s41467-023-41837-y.
2
Sown alfalfa pasture decreases grazing intensity while increasing soil carbon: Experimental observations and DNDC model predictions.播种苜蓿牧场在增加土壤碳含量的同时降低了放牧强度:实验观测与DNDC模型预测
Front Plant Sci. 2022 Nov 21;13:1019966. doi: 10.3389/fpls.2022.1019966. eCollection 2022.
3
Simulating Land-Use Changes and Predicting Maize Potential Yields in Northeast China for 2050.

本文引用的文献

1
Impact of Farmland Change on Soybean Production Potential in Recent 40 Years: A Case Study in Western Jilin, China.耕地变化对中国吉林西部近 40 年来大豆生产潜力的影响
Int J Environ Res Public Health. 2018 Jul 18;15(7):1522. doi: 10.3390/ijerph15071522.
2
Closing yield gaps through nutrient and water management.通过养分和水分管理来缩小产量差距。
Nature. 2012 Oct 11;490(7419):254-7. doi: 10.1038/nature11420. Epub 2012 Aug 29.
3
Global food demand and the sustainable intensification of agriculture.全球粮食需求与农业可持续集约化发展。
模拟 2050 年中国东北地区土地利用变化及预测玉米潜在产量。
Int J Environ Res Public Health. 2021 Jan 22;18(3):938. doi: 10.3390/ijerph18030938.
Proc Natl Acad Sci U S A. 2011 Dec 13;108(50):20260-4. doi: 10.1073/pnas.1116437108. Epub 2011 Nov 21.
4
[Vegetation net primary productivity in Northeast China in 2000-2008: simulation and seasonal change].[2000 - 2008年中国东北地区植被净初级生产力:模拟与季节变化]
Ying Yong Sheng Tai Xue Bao. 2011 Mar;22(3):621-30.