Literature DB >> 27866742

Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015.

Geli Zhang1, Xiangming Xiao2, Chandrashekhar M Biradar3, Jinwei Dong1, Yuanwei Qin1, Michael A Menarguez1, Yuting Zhou1, Yao Zhang1, Cui Jin1, Jie Wang1, Russell B Doughty1, Mingjun Ding4, Berrien Moore5.   

Abstract

Due to rapid population growth and urbanization, paddy rice agriculture is experiencing substantial changes in the spatiotemporal pattern of planting areas in the two most populous countries-China and India-where food security is always the primary concern. However, there is no spatially explicit and continuous rice-planting information in either country. This knowledge gap clearly hinders our ability to understand the effects of spatial paddy rice area dynamics on the environment, such as food and water security, climate change, and zoonotic infectious disease transmission. To resolve this problem, we first generated annual maps of paddy rice planting areas for both countries from 2000 to 2015, which are derived from time series Moderate Resolution Imaging Spectroradiometer (MODIS) data and the phenology- and pixel-based rice mapping platform (RICE-MODIS), and analyzed the spatiotemporal pattern of paddy rice dynamics in the two countries. We found that China experienced a general decrease in paddy rice planting area with a rate of 0.72 million (m) ha/yr from 2000 to 2015, while a significant increase at a rate of 0.27mha/yr for the same time period happened in India. The spatial pattern of paddy rice agriculture in China shifted northeastward significantly, due to simultaneous expansions in paddy rice planting areas in northeastern China and contractions in southern China. India showed an expansion of paddy rice areas across the entire country, particularly in the northwestern region of the Indo-Gangetic Plain located in north India and the central and south plateau of India. In general, there has been a northwesterly shift in the spatial pattern of paddy rice agriculture in India. These changes in the spatiotemporal patterns of paddy rice planting area have raised new concerns on how the shift may affect national food security and environmental issues relevant to water, climate, and biodiversity.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  China; Food security; India; MODIS; Paddy rice agriculture; Phenology-based algorithm

Mesh:

Year:  2016        PMID: 27866742     DOI: 10.1016/j.scitotenv.2016.10.223

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  9 in total

1.  Enhanced response of global wetland methane emissions to the 2015-2016 El Niño-Southern Oscillation event.

Authors:  Zhen Zhang; Niklaus E Zimmermann; Leonardo Calle; George Hurtt; Abhishek Chatterjee; Benjamin Poulter
Journal:  Environ Res Lett       Date:  2018-06-27       Impact factor: 6.793

2.  Tracking annual changes of coastal tidal flats in China during 1986-2016 through analyses of Landsat images with Google Earth Engine.

Authors:  Xinxin Wang; Xiangming Xiao; Zhenhua Zou; Bangqian Chen; Jun Ma; Jinwei Dong; Russell B Doughty; Qiaoyan Zhong; Yuanwei Qin; Shengqi Dai; Xiangping Li; Bin Zhao; Bo Li
Journal:  Remote Sens Environ       Date:  2018-12-05       Impact factor: 10.164

3.  Intensifying poultry production systems and the emergence of avian influenza in China: a 'One Health/Ecohealth' epitome.

Authors:  Marius Gilbert; Xiangming Xiao; Timothy P Robinson
Journal:  Arch Public Health       Date:  2017-11-27

4.  Could Changes in the Agricultural Landscape of Northeastern China Have Influenced the Long-Distance Transmission of Highly Pathogenic Avian Influenza H5Nx Viruses?

Authors:  Marius Gilbert; Diann J Prosser; Geli Zhang; Jean Artois; Madhur S Dhingra; Michael Tildesley; Scott H Newman; Fusheng Guo; Peter Black; Filip Claes; Wantanee Kalpradvidh; YeunKyung Shin; Wooseog Jeong; John Y Takekawa; Hansoo Lee; Xiangming Xiao
Journal:  Front Vet Sci       Date:  2017-12-19

5.  Geographical and temporal distribution of the residual clusters of human leptospirosis in China, 2005-2016.

Authors:  Pandji Wibawa Dhewantara; Abdullah Al Mamun; Wen-Yi Zhang; Wen-Wu Yin; Fan Ding; Danhuai Guo; Wenbiao Hu; Ricardo J Soares Magalhães
Journal:  Sci Rep       Date:  2018-11-09       Impact factor: 4.379

6.  High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data.

Authors:  Mrinal Singha; Jinwei Dong; Geli Zhang; Xiangming Xiao
Journal:  Sci Data       Date:  2019-04-11       Impact factor: 6.444

7.  Fingerprint of rice paddies in spatial-temporal dynamics of atmospheric methane concentration in monsoon Asia.

Authors:  Geli Zhang; Xiangming Xiao; Jinwei Dong; Fengfei Xin; Yao Zhang; Yuanwei Qin; Russell B Doughty; Berrien Moore
Journal:  Nat Commun       Date:  2020-01-28       Impact factor: 14.919

8.  Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation.

Authors:  Mirza Waleed; Muhammad Mubeen; Ashfaq Ahmad; Muhammad Habib-Ur-Rahman; Asad Amin; Hafiz Umar Farid; Sajjad Hussain; Mazhar Ali; Saeed Ahmad Qaisrani; Wajid Nasim; Hafiz Muhammad Rashad Javeed; Nasir Masood; Tariq Aziz; Fatma Mansour; Ayman El Sabagh
Journal:  Sci Rep       Date:  2022-08-01       Impact factor: 4.996

9.  Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model.

Authors:  Jong-Min Yeom; Seungtaek Jeong; Gwanyong Jeong; Chi Tim Ng; Ravinesh C Deo; Jonghan Ko
Journal:  Sci Rep       Date:  2018-10-31       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.