Effect of Climate Change on Agricultural Crops

Mall, R. K.; Gupta, Akhilesh; Sonkar, Geetika

doi:10.1016/b978-0-444-63661-4.00002-5

Cited by 86 publications

(51 citation statements)

References 89 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Long-time wars and conflicts have made the country more susceptible to any impact due to climate change. A large change in the climate of recent years and its impacts on the agriculture of the country has been reported [32,33]. Agriculture contributes between 26-36% of the total national gross domestic product of Syria [34].…”

Section: Introductionmentioning

confidence: 99%

Spatial Shift of Aridity and Its Impact on Land Use of Syria

et al. 2019

View full text Add to dashboard Cite

Expansion of arid lands due to climate change, particularly in water stressed regions of the world can have severe implications on the economy and people’s livelihoods. The spatiotemporal trends in aridity, the shift of land from lower to higher arid classes and the effect of this shift on different land uses in Syria have been evaluated in this study for the period 1951–2010 using high-resolution monthly climate data of the Terrestrial Hydrology Research Group of Princeton University. The trends in rainfall, temperature and potential evapotranspiration were also evaluated to understand the causes of aridity shifts. The results revealed an expansion of aridity in Syria during 1951–1980 compared to 1981–2010. About 6.21% of semi-arid land was observed to shift to arid class and 5.91% dry-subhumid land to semi-arid land between the two periods. Analysis of results revealed that the decrease in rainfall is the major cause of increasing aridity in Syria. About 28.3% of agriculture land located in the north and the northwest was found to shift from humid to dry-subhumid or dry-subhumid to semi-arid. Analysis of results revealed that the shifting of drylands mostly occurred in the northern agricultural areas of Syria. The land productivity and irrigation needs can be severely affected by increasing aridity which may affect food security and the economy of the country.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatial Shift of Aridity and Its Impact on Land Use of Syria

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Land Surface Temperature (LST) is a critical factor that determines air temperature in the lower layers of the atmosphere, [13][14][15][16][17][18][19][20][21][22]. The LST is a key factor for the study of urban air temperatures and has been instrumental in characterizing the emerging phenomenon of the Urban Heat Island (UHI) [23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Relationship between Land Surface Temperature and Land Use in Nakhon Ratchasima City, Thailand

Chotchaiwong¹,

Wijitkosum²

2019

View full text Add to dashboard Cite

The relationship between land surface temperature (LST) and land use in Nakhon Ratchasima was studied using data gathered from three satellite images from Landsat-5 (30th January 1992), Landsat-8 (9 May 2016) and THEOS (17th February 2016). There were four categories of land use: built-up area, green area, bare land and water sources. The split-window concept was used to estimate the LST. In 1992, Nakhon Ratchasima city in Thailand comprised 47.76% built-up area, 37.45% green area, 13.19% bare land and 1.60% water sources. By 2016, the built-up area had increased by 23.04%, the green area had decreased by 16.66%, bare land had decreased by 6.81%, but water sources had increased by 0.43%. Moreover, in 1992 the mean LST was 25.43 C for built-up areas, 24.44 C for green areas, 24.97 C for bare land and 24.75 C for water sources. However, by 2016 the LSTs had increased for each category: 28.74 C for built-up areas (+3.31 C), 27.20 C for green areas (+2.76 C), 28.11 C for bare land (+3.14 C) and 27.72 C for water sources (+2.97 C). The findings indicated that the LSTs increased with the pace of urbanization and changes in land use. Linear regression analysis revealed that built-up land had a positive correlation with LST, where a 1% increase in built-up area increased its LST by 0.146594 C.

show abstract

“…Despite the uncertainty regarding their origin, it has never been more important for the focused characterization of plant microRNAs. Production levels for many of the world's crops are under threat from increases in global temperatures, changing patterns of rainfall and extreme weather events such as droughts, heatwaves and heavy rainfall (Mall, Gupta & Sonkar, 2017). A meta-analysis of over 1,700 simulations for wheat, rice and maize has indicated that an increase of just 2 degrees will cause losses in aggregate production (Challinor et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Computational methods for the ab initio identification of novel microRNA in plants: a systematic review

Manuweera

Reynolds

Kahanda

2019

PeerJ Computer Science

View full text Add to dashboard Cite

Background MicroRNAs (miRNAs) play a vital role as post-transcriptional regulators in gene expression. Experimental determination of miRNA sequence and structure is both expensive and time consuming. The next-generation sequencing revolution, which facilitated the rapid accumulation of biological data has brought biology into the “big data” domain. As such, developing computational methods to predict miRNAs has become an active area of inter-disciplinary research. Objective The objective of this systematic review is to focus on the developments of ab initio plant miRNA identification methods over the last decade. Data sources Five databases were searched for relevant articles, according to a well-defined review protocol. Study selection The search results were further filtered using the selection criteria that only included studies on novel plant miRNA identification using machine learning. Data extraction Relevant data from each study were extracted in order to carry out an analysis on their methodologies and findings. Results Results depict that in the last decade, there were 20 articles published on novel miRNA identification methods in plants of which only 11 of them were primarily focused on plant microRNA identification. Our findings suggest a need for more stringent plant-focused miRNA identification studies. Conclusion Overall, the study accuracies are of a satisfactory level, although they may generate a considerable number of false negatives. In future, attention must be paid to the biological plausibility of computationally identified miRNAs to prevent further propagation of biologically questionable miRNA sequences.

show abstract

Effect of Climate Change on Agricultural Crops

Cited by 86 publications

References 89 publications

Spatial Shift of Aridity and Its Impact on Land Use of Syria

Spatial Shift of Aridity and Its Impact on Land Use of Syria

Relationship between Land Surface Temperature and Land Use in Nakhon Ratchasima City, Thailand

Computational methods for the ab initio identification of novel microRNA in plants: a systematic review

Contact Info

Product

Resources

About