Monitoring the combined effects of drought and salinity stress on crops using remote sensing in the Netherlands

被引:9
|
作者
Wen, Wen [1 ]
Timmermans, Joris [1 ,2 ,3 ]
Chen, Qi [1 ]
van Bodegom, Peter M. [1 ]
机构
[1] Leiden Univ, Inst Environm Sci CML, Box 9518, NL-2300 RA Leiden, Netherlands
[2] Univ Amsterdam, Inst Biodivers & Ecosyst Dynam, NL-1090 GE Amsterdam, Netherlands
[3] Lifewatch ERIC, vLab & Innovat Ctr, NL-1090 GE Amsterdam, Netherlands
关键词
CHLOROPHYLL CONTENT; WATER-CONTENT; PLANT-GROWTH; MAIZE YIELD; CANOPY; SALT; GERMINATION; COMPONENTS; CULTIVARS; PRODUCTS;
D O I
10.5194/hess-26-4537-2022
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Global sustainable agricultural systems are under threat, due to increasing and co-occurring drought and salinity stresses. Combined effects of these stresses on agricultural crops have traditionally been evaluated in smallscale experimental studies. Consequently, large-scale studies need to be performed to increase our understanding and assessment of the combined impacts in agricultural practice in real-life scenarios. This study aims to provide a new monitoring approach using remote-sensing observations to evaluate the joint impacts of drought and salinity on crop traits. In our tests over the Netherlands at large spatial scale (138.74 km(2)), we calculated five functional traits for both maize and potato from Sentinel-2 observations, namely leaf area index (LAI), the fraction of absorbed photosynthetically active radiation (FAPAR), the fraction of vegetation cover (FVC), leaf chlorophyll content (Cab), and leaf water content (Cw). Individual and combined effects of the stresses on the seasonal dynamics in crop traits were determined using both one-way and two-way analyses of variance (ANOVAs). We found that both stresses (individual and co-occurring) affected the functional traits of both crops significantly (with R-2 ranging from 0.326 to 0.796) though with stronger sensitivities to drought than to salinity. While we found exacerbating effects within co-occurrent stresses, the impact level depended strongly on the moment in the growing season. For both crops, LAI, FAPAR, and FVC dropped the most under severe drought stress conditions. The patterns for Cab and Cw were more inhibited by co-occurring drought and salinity. Consequently, our study constitutes a way towards evaluating drought and salinity impacts in agriculture, with the possibility of potential large-scale application for sustainable food security.
引用
收藏
页码:4537 / 4552
页数:16
相关论文
共 50 条
  • [1] DROUGHT MONITORING USING REMOTE SENSING DATA
    Frantzova, Antoaneta
    AEROSPACE RESEARCH IN BULGARIA, 2023, 35 : 52 - 62
  • [2] AN IMPROVEMENT OF METHOD FOR MONITORING DROUGHT USING REMOTE SENSING
    Zhu Ji
    Shi Jiancheng
    Chu Hanfang
    Feng Qiang
    Wang Angsheng
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 957 - +
  • [3] Monitoring agricultural and meteorological drought using remote sensing
    Imzahim A. Alwan
    Abdulrazzak T. Ziboon
    Alaa G. Khalaf
    Quoc Bao Pham
    Duong Tran Anh
    Khaled Mohamed Khedher
    Arabian Journal of Geosciences, 2022, 15 (2)
  • [4] Monitoring drought using composite drought indices based on remote sensing
    Liu, Qi
    Zhang, Sha
    Zhang, Hairu
    Bai, Yun
    Zhang, Jiahua
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 711 (711)
  • [5] Meteorological and agricultural drought monitoring in Southwest of Iran using a remote sensing-based combined drought index
    Karimi, Mahshid
    Shahedi, Kaka
    Raziei, Tayeb
    Miryaghoubzadeh, Mirhassan
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2022, 36 (11) : 3707 - 3724
  • [6] Meteorological and agricultural drought monitoring in Southwest of Iran using a remote sensing-based combined drought index
    Mahshid Karimi
    Kaka Shahedi
    Tayeb Raziei
    Mirhassan Miryaghoubzadeh
    Stochastic Environmental Research and Risk Assessment, 2022, 36 : 3707 - 3724
  • [7] Biochar Mitigates Combined Effects of Drought and Salinity Stress in Quinoa
    Yang, Aizheng
    Akhtar, Saqib Saleem
    Li, Lin
    Fu, Qiang
    Li, Quanfeng
    Naeem, Muhammad Asif
    He, Xinyao
    Zhang, Ze
    Jacobsen, Sven-Erik
    AGRONOMY-BASEL, 2020, 10 (06):
  • [8] Monitoring drought dynamics using remote sensing-based combined drought index in Ergene Basin, Türkiye
    Gumus, Kerim Aykut
    Balcik, Filiz Bektas
    Esetlili, Tolga
    Kahya, Ceyhan
    OPEN GEOSCIENCES, 2023, 15 (01)
  • [9] Advance in Agricultural Drought Monitoring Using Remote Sensing Data
    Yao Yuan
    Chen Xi
    Qian Jing
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39 (04) : 1005 - 1012
  • [10] Evaluating crop-specific responses to salinity and drought stress from remote sensing
    Wen, Wen
    Timmermans, Joris
    Chen, Qi
    van Bodegom, Peter M.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 122