scholarly journals Modelling the Climate Change on Crop Estimation in the Semi-Arid Region of Pakistan Using Multispectral Remote Sensing

Optics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Zeeshan Zafar ◽  
Shoaib Farooq ◽  
Muhammad Irfan Ahamad ◽  
Muhammad Sajid Mehmood ◽  
Nasir Abbas ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Arid Region ◽  
Multispectral Remote Sensing ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals Effect of Temperature on Sowing Dates of Wheat under Arid and Semi-Arid Climatic Regions and Impact Quantification of Climate Change through Mechanistic Modeling with Evidence from Field

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 927
Author(s):  
Jamshad Hussain ◽  
Tasneem Khaliq ◽  
Muhammad Habib ur Rahman ◽  
Asmat Ullah ◽  
Ishfaq Ahmed ◽  
...  
Keyword(s):  
Climate Change ◽  
Grain Yield ◽  
Arid Region ◽  
Field Experiments ◽  
Climatic Conditions ◽  
Seasonal Temperature ◽  
Sowing Dates ◽  
Rcp 8.5 ◽  
Semi Arid Region ◽  
Semi Arid

Rising temperature from climate change is the most threatening factor worldwide for crop production. Sustainable wheat production is a challenge due to climate change and variability, which is ultimately a serious threat to food security in Pakistan. A series of field experiments were conducted during seasons 2013–2014 and 2014–2015 in the semi-arid (Faisalabad) and arid (Layyah) regions of Punjab-Pakistan. Three spring wheat genotypes were evaluated under eleven sowing dates from 16 October to 16 March, with an interval of 14–16 days in the two regions. Data for the model calibration and evaluation were collected from field experiments following the standard procedures and protocols. The grain yield under future climate scenarios was simulated by using a well-calibrated CERES-wheat model included in DSSAT v4.7. Future (2051–2100) and baseline (1980–2015) climatic data were simulated using 29 global circulation models (GCMs) under representative concentration pathway (RCP) 8.5. These GCMs were distributed among five quadrants of climatic conditions (Hot/Wet, Hot/Dry, Cool/Dry, Cool/Wet, and Middle) by a stretched distribution approach based on temperature and rainfall change. A maximum of ten GCMs predicted the chances of Middle climatic conditions during the second half of the century (2051–2100). The average temperature during the wheat season in a semi-arid region and arid region would increase by 3.52 °C and 3.84 °C, respectively, under Middle climatic conditions using the RCP 8.5 scenario during the second half-century. The simulated grain yield was reduced by 23.5% in the semi-arid region and 35.45% in the arid region under Middle climatic conditions (scenario). Mean seasonal temperature (MST) of sowing dates ranged from 16 to 27.3 °C, while the mean temperature from the heading to maturity (MTHM) stage was varying between 12.9 to 30.4 °C. Coefficients of determination (R2) between wheat morphology parameters and temperature were highly significant, with a range of 0.84–0.96. Impacts of temperature on wheat sown on 15 March were found to be as severe as to exterminate the crop before heading. The spikes and spikelets were not formed under a mean seasonal temperature higher than 25.5 °C. In a nutshell, elevated temperature (3–4 °C) till the end-century can reduce grain yield by about 30% in semi-arid and arid regions of Pakistan. These findings are crucial for growers and especially for policymakers to decide on sustainable wheat production for food security in the region.

Remote Sensing of Soil Organic Carbon in Semi-Arid Region of Iran

2010 ◽  
Vol 24 (4) ◽  
pp. 271-281 ◽  
Author(s):  
Moslem Ladoni ◽  
Seyed Kazem Alavipanah ◽  
Hosein Ali Bahrami ◽  
Ali Akbar Noroozi
Keyword(s):  
Remote Sensing ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Arid Region ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals Use of remote sensing to identify areas at risk of degradation in the semi-arid region

2018 ◽  
Vol 49 (3) ◽  
Author(s):  
Deodato do Nascimento Aquino ◽  
Odílio Coimbra da Rocha Neto ◽  
Maurício Alves Moreira ◽  
Adunias dos Santos Teixeira ◽  
Eunice Maia de Andrade
Keyword(s):  
Remote Sensing ◽  
At Risk ◽  
Arid Region ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals Households’ Adaptation to Climate Change Hazards in Semi-Arid Region of Mopani, South Africa

2021 ◽  
Author(s):  
Musa Yusuf Jimoh ◽  
Peter Bikam ◽  
Hector Chikoore ◽  
James Chakwizira ◽  
Emaculate Ingwani
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Climate Change Adaptation ◽  
Urban Areas ◽  
Arid Region ◽  
Adaptive Systems ◽  
Adaptation To Climate Change ◽  
Temperature And Precipitation ◽  
Semi Arid Region ◽  
Semi Arid

New climate change realities are no longer a doubtful phenomenon, but realities to adapt and live with. Its cogent impacts and implications’ dispositions pervade all sectors and geographic scales, making no sector or geographic area immune, nor any human endeavor spared from the associated adversities. The consequences of this emerging climate order are already manifesting, with narratives written beyond the alterations in temperature and precipitation, particularly in urban areas of semi-arid region of South Africa. The need to better understand and respond to the new climate change realities is particularly acute in this region. Thus, this chapter highlights the concept of adaptation as a fundamental component of managing climate change vulnerability, through identifying and providing insight in respect of some available climate change adaptation models and how these models fit within the premises and programmes of sustainable adaptation in semi-arid region with gaps identification. The efforts of governments within the global context are examined with households’ individual adaptation strategies to climate change hazards in Mopani District. The factors hindering the success of sustainable urban climate change adaptation strategic framework and urban households’ adaptive systems are also subjects of debate and constitute the concluding remarks to the chapter.

Assessment of the geometry and volumes of small surface water reservoirs by remote sensing in a semi-arid region with high reservoir density

2019 ◽  
Vol 64 (1) ◽  
pp. 66-79 ◽  
Author(s):  
Bruno Pereira ◽  
Pedro Medeiros ◽  
Till Francke ◽  
Geraldo Ramalho ◽  
Saskia Foerster ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
Arid Region ◽  
Water Reservoirs ◽  
Small Surface ◽  
Semi Arid Region ◽  
Semi Arid

Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region

2019 ◽  
Vol 231 ◽  
pp. 111226 ◽  
Author(s):  
Ehsan Jalilvand ◽  
Masoud Tajrishy ◽  
Sedigheh Alsadat Ghazi Zadeh Hashemi ◽  
Luca Brocca
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Irrigation Water ◽  
Arid Region ◽  
Semi Arid Region ◽  
Semi Arid
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