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Article: Modelling climate variabilities and global rice production: A panel regression and time series analysis.

Joseph, Masha / Moonsammy, Stephan / Davis, Harold / Warner, Devin / Adams, Ashley / Timothy Oyedotun, Temitope D

2023 Volume 9, Issue 4, Page(s) e15480

Abstract: Climate change threatens agriculture and it remains a present global challenge to food security and Sustainable Development Goals. The potential impact on the supply of crops such as rice is seen as a major food security issue that requires intervention ... ...

Abstract	Climate change threatens agriculture and it remains a present global challenge to food security and Sustainable Development Goals. The potential impact on the supply of crops such as rice is seen as a major food security issue that requires intervention on several fronts. The literature on rice production, climate variations and climate change show several studies outlining various impacts on rice supply as a result of variations in temperature and rainfall. This study intends to further explore the impacts on rice production caused by temperature changes and rainfall variation by analyzing and modelling the production of rice by the top rice-producing countries globally. A time series of the national rice production and yield along with national average annual temperature and rainfall were sourced for 15 major rice-producing countries. The trends of the time series were then compared between the rice productivity variables and temperature and rainfall. A panel regression model was also developed to further assess the relationship between rice production and temperature and rainfall. The time series showed that rice production and yield are increasing for the majority of the countries analyzed. The panel regression model however showed that continued increase in temperature can result in decreased production of rice and that rainfall volume directly impacts rice output and therefore shows rice production is highly susceptible to flooding and drought events caused by climate variabilities.
Language	English
Publishing date	2023-04-14
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e15480
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Compositional and multivariate statistical analyses for grain-size characterisation of intertidal sedimentary facies in an estuarine environment

Temitope D. Timothy Oyedotun

Geology, Ecology, and Landscapes, Vol 0, Iss 0, Pp 1-

2020 Volume 7

Abstract: This study presents the characterisation of grain size dynamics within an estuarine environment through statistical summarisation of grain size distribution and multivariate statistics. A total of 44 samples were taken from seven (7) main locations to ... ...

Abstract	This study presents the characterisation of grain size dynamics within an estuarine environment through statistical summarisation of grain size distribution and multivariate statistics. A total of 44 samples were taken from seven (7) main locations to the depth of ~15 cm at the intertidal depositional environment of Camel Estuary, Southwest England. A wide range of grain size statistical parameters explored here shows that outer estuarine sediment is composed of coarse sand population mixed with fine/medium sand while mid-estuarine sediment composition is of fine/medium sand population. The inner sediment deposition is a total deviation from other sections of the estuary, suggesting that the decrease in transportation energy caused the deposition of very fine sediments at this sedimentary facie. The summation of grain size distributions and multivariate statistics have shown that these methods can be used to determine sediments with similar parameters and, therefore, are a good proxy in recognising sedimentary facies within an inter-tidal depositional environment.
Keywords	grain size distributions ; principal component analysis ; sediments ; camel estuary ; depositional environment ; sorting ; median ; Ecology ; QH540-549.5 ; Geology ; QE1-996.5
Subject code	550
Language	English
Publishing date	2020-08-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Quantitative assessment of the drainage morphometric characteristics of Chaohu Lake Basin from SRTM DEM Data

Temitope D. Timothy Oyedotun

Geology, Ecology, and Landscapes, Vol 0, Iss 0, Pp 1-

a GIS-based approach

2020 Volume 14

Abstract: This study is focused on the morphometric evaluation of some hydrological parameters of the streams/rivers in Chaohu Lake Basin and its influence on land-use changes in the basin. The hydrological parameters considered here include drainage network, ... ...

Abstract	This study is focused on the morphometric evaluation of some hydrological parameters of the streams/rivers in Chaohu Lake Basin and its influence on land-use changes in the basin. The hydrological parameters considered here include drainage network, linear morphometric, areal, and relief parameters as well as the focal statistics of the stream variables in the Chaohu Lake catchment. Morphometric analyses and assessments of the basin were carried out (in ESRI©ArcGIS 10.6.3) utilizing the remotely sensed georeferenced Digital Elevation Model (DEM) data obtained from Shuttle Radar Topographic Mission (SRTM) while the land-use change analyses (executed in ESRI© ArcGIS) was based on Maximum Likelihood supervised Classification (MLC) of subsets of Landsat MSS and OLI/TIRS images acquired in 1979 and 2015. Linear morphometric results from the analyses include river and stream length (18.22 km), stream order (1–4), mean stream length (0.01 km), bifurcation ratio (2.11–4.34) and mean bifurcation ration (2.15) respectively. The areal morphometric attributes extracted include drainage density (670.85 km2), basin perimeter (789.3 km), basin area (13,350 km2), Circularity ratio (Rc, 0.0059) and relief aspects with the highest value at 1.282 m and the lowest elevation at −7 m. The drainage system here is designated as the fourth-order stream of a majorly dendritic pattern which may be a result of the structural and geomorphological influence on the stream system. In this study, the analyses and understanding of the dynamics of the different streams in the basin are shown to indicate the easy accessibility to the abundant freshwater systems in the basin which has contributed to the changes in land-use patterns over the last five decades in the basin. The notable changes include the increase of agricultural lands from 29.8% in 1979 to 45.2% in 2015; and the built-up (urban) areas from 3.5% in 1979 to 25.1% in 2015, respectively.
Keywords	morphometric analysis ; stream order ; drainage ; gis ; dem ; chaohu basin ; Ecology ; QH540-549.5 ; Geology ; QE1-996.5
Subject code	550
Language	English
Publishing date	2020-08-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: The need for data integration to address the challenges of climate change on the Guyana coast

Oyedotun, Temitope D. Timothy / Burningham, Helene

Geography and sustainability. 2021 Dec., v. 2, no. 4

2021

Abstract: Guyana's capacity to address the impacts of climate change on its coastal environment requires the ability to monitor, quantify and understand coastal change over short-, medium- and long- term. Understanding the drivers of change in coastal and marine ... ...

Abstract	Guyana's capacity to address the impacts of climate change on its coastal environment requires the ability to monitor, quantify and understand coastal change over short-, medium- and long- term. Understanding the drivers of change in coastal and marine environment can be achieved through the accurate measurement and critical analyses of morphologies, flows, processes and responses. This manuscript presents a strategy developed to create a central resource, database and web-based platform to integrate data and information on the drivers and the changes within Guyana coastal and marine environment. The strategy involves four complimentary work packages including data collection, development of a platform for data integration, application of the data for coastal change analyses and consultation with stakeholders. The last aims to assess the role of the integrated data systems to support strategic governance and sustainable decision-making. It is hoped that the output of this strategy would support the country's climate-focused agencies, organisations, decision-makers, and researchers in their tasks and endeavours.
Keywords	Internet ; climate change ; coasts ; data collection ; databases ; decision making ; geography ; governance ; marine environment ; stakeholders ; Guyana
Language	English
Dates of publication	2021-12
Size	p. 288-297.
Publishing place	Elsevier B.V.
Document type	Article
ISSN	2666-6839
DOI	10.1016/j.geosus.2021.11.003
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Modelling climate variabilities and global rice production

Masha Joseph / Stephan Moonsammy / Harold Davis / Devin Warner / Ashley Adams / Temitope D. Timothy Oyedotun

Heliyon, Vol 9, Iss 4, Pp e15480- (2023)

A panel regression and time series analysis

2023

Abstract	Climate change threatens agriculture and it remains a present global challenge to food security and Sustainable Development Goals. The potential impact on the supply of crops such as rice is seen as a major food security issue that requires intervention on several fronts. The literature on rice production, climate variations and climate change show several studies outlining various impacts on rice supply as a result of variations in temperature and rainfall. This study intends to further explore the impacts on rice production caused by temperature changes and rainfall variation by analyzing and modelling the production of rice by the top rice-producing countries globally. A time series of the national rice production and yield along with national average annual temperature and rainfall were sourced for 15 major rice-producing countries. The trends of the time series were then compared between the rice productivity variables and temperature and rainfall. A panel regression model was also developed to further assess the relationship between rice production and temperature and rainfall. The time series showed that rice production and yield are increasing for the majority of the countries analyzed. The panel regression model however showed that continued increase in temperature can result in decreased production of rice and that rainfall volume directly impacts rice output and therefore shows rice production is highly susceptible to flooding and drought events caused by climate variabilities.
Keywords	Climate variability ; Precipitation ; Rice production ; Temperature ; Trend analysis ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The need for data integration to address the challenges of climate change on the Guyana coast

Temitope D. Timothy Oyedotun / Helene Burningham

Geography and Sustainability, Vol 2, Iss 4, Pp 288-

2021 Volume 297

Abstract	Guyana's capacity to address the impacts of climate change on its coastal environment requires the ability to monitor, quantify and understand coastal change over short-, medium- and long- term. Understanding the drivers of change in coastal and marine environment can be achieved through the accurate measurement and critical analyses of morphologies, flows, processes and responses. This manuscript presents a strategy developed to create a central resource, database and web-based platform to integrate data and information on the drivers and the changes within Guyana coastal and marine environment. The strategy involves four complimentary work packages including data collection, development of a platform for data integration, application of the data for coastal change analyses and consultation with stakeholders. The last aims to assess the role of the integrated data systems to support strategic governance and sustainable decision-making. It is hoped that the output of this strategy would support the country's climate-focused agencies, organisations, decision-makers, and researchers in their tasks and endeavours.
Keywords	Climate adaptation ; Climate mitigation ; Data needs ; Data integration ; Web-based platform ; Geography (General) ; G1-922 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2021-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Spatio-temporal coastline dynamics of the Gambia littoral zone from 1989 to 2019

Abdoulie Bojang / Temitope D. Timothy Oyedotun / B.A. Sawa / M. Isma'il

Geosystems and Geoenvironment, Vol 2, Iss 4, Pp 100194- (2023)

2023

Abstract: Coastal erosion and accretion are major challenges that affect socio-economic activities and threatened hotel industries and fisheries which contribute 36% of the GDP in The Gambia. This research aimed to apply geospatial and remote sensing techniques in ...

Abstract	Coastal erosion and accretion are major challenges that affect socio-economic activities and threatened hotel industries and fisheries which contribute 36% of the GDP in The Gambia. This research aimed to apply geospatial and remote sensing techniques in modelling erosion and accretion on the coastline of The Gambia, West Africa. Multi-temporal satellite data of the years 1989, 2009 and 2019, respectively were collected from Landsat 5 Thematic Mapper (Landsat 5 TM) and Landsat 8 Operational Land Imager and Thermal Infrared Sensor (Landsat 8 OLI TIRS). The collected images were pre-processed and post-processed using ERDAS Imagine 1.2 and ArcGIS 10.3 software. The Modified Normalised Difference Water Index (MNDWI) change detection algorithm was utilised on the images to classify land and water interfaces. Boolean operation classified the images into 0 and 1 as land and water. They were subsequently digitized to create vector layers. Digital Shoreline Analysis System (DSAS) was used to analyse the Spatio-temporal variations on the coastline from 1989 to 2019 and rate of erosion and accretion. The Spatio-temporal analysis for the period 1989 to 2019 found that Cell 1 had an End Point Rate (EPR) of -3.5 ± 3.0 m y−1. Cells 2, 3, 4 and 5 had EPR of -4.7 ± 3.3 m y−1. The remaining cells 5, 6, 7 and 8 shared EPR rate of -1.2 ± 1.1 m y − 1. The rate of erosion in the whole coastline peaked at -2.7 m y−1 and is dominant in Cells 1, 2, 3, 4 and 5, respectively. Accretion also in the whole coastline climaxed to more than +4.5 m y−1 and was mostly dominant in some parts of Cell 2. The inconsistent coastline migration has led to the collapse of some infrastructures in the Tourist Development Area (TDA), loss of agricultural land through salt intrusion and siltation at The Gambia Ports Authority. Hence, this research recommends soft engineering measures in the TDA to avoid disfiguring the recreational sandy beaches and hard engineering measures only between Banjul to Cape Point to protect the Banjul-Serekunda Highway.
Keywords	Accretion ; Erosion ; Coastline ; Shoreline ; Change detection ; Physical geography ; GB3-5030
Subject code	550
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Environmental issues and challenges confronting surface waters in South America

Temitope D. Timothy Oyedotun / Nasrudeen Ally

Environmental Challenges, Vol 3, Iss , Pp 100049- (2021)

A review

2021

Abstract: This study entailed a review of 80 scientific articles on different environmental issues and challenges confronting the rivers, streams and running water in South America. The diversity of issues identified in the review is categorised based on themes ... ...

Abstract	This study entailed a review of 80 scientific articles on different environmental issues and challenges confronting the rivers, streams and running water in South America. The diversity of issues identified in the review is categorised based on themes that were widely addressed in the studies. Six themes of these are grouped into the following categories: pollution; contamination; climate changes, global warming and/or drought; anthropogenic/human impacts, urbanisation, land use; sedimentation and flooding. Pollution and contamination are the most environmental issues addressed by most of the research work reviewed in this study. These are followed by the impacts of climate vulnerabilities and anthropogenic activities, sedimentation and flooding respectively. These issues transcend one single country but cut across many countries in the continent. This review provides useful information and synthesised insights that support current and future bibliography queries, research and studies of rivers and streams of South America. It is also noted here that both indices of natural and anthropogenic processes are dictating various environmental challenges confronting surface water systems. The knowledge of the processes and their effects are very important if a proper plan is to be made in addressing those challenges. It is expected that this study serves as a resource for understanding the dynamics of different surface water systems of the continent and as filling the knowledge gap on synthesising the various environmental issues affecting the surface water systems.
Keywords	Climate Change ; Contamination ; Drought ; Pollution ; Sedimentation ; Surface Water ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2021-04-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Linking national policies to beneficiaries

Temitope D. Timothy OYEDOTUN / Stephan MOONSAMMY

Environmental Challenges, Vol 4, Iss , Pp 100142- (2021)

Geospatial and statistical focus to waste and sanitation planning

2021

Abstract: National policies for waste management that are geared towards achieving sustainable development goals often require plans and implementation strategies developed from empirical and data-driven processes. Developing countries often propose national ... ...

Abstract	National policies for waste management that are geared towards achieving sustainable development goals often require plans and implementation strategies developed from empirical and data-driven processes. Developing countries often propose national policies but they never reach the implementation phase and adhoc practices remain unchanged. This paper analyses the strengths and weaknesses of a national waste management policy and develops potential recommendations to address the main threats that hinder the policy implementation. The lack of effective planning using data and analytical tools are identified as the main area hindering the policy implementation. Several applications are demonstrated for waste management using geospatial techniques and statistical modelling. Examples are demonstrated where spatial maps are used for zonation and landfill locations, statistical models used to identify waste generation at the community level and artificial intelligence used for waste separation. Recommendations are proposed in applying several of the methods demonstrated to shift the operation of a national waste sector to realize the benefits of the policy nexus for all stakeholders.
Keywords	Analysing waste policies ; Waste monitoring geospatially ; Waste management models ; Statistical waste assessment ; National-local beneficiary nexus ; Environmental sciences ; GE1-350
Subject code	710
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Modelling climate variabilities and global rice production: A panel regression and time series analysis

Joseph, Masha / Moonsammy, Stephan / Davis, Harold / Warner, Devin / Adams, Ashley / Timothy Oyedotun, Temitope D.

Heliyon. 2023 Apr., v. 9, no. 4 p.e15480-

2023

Abstract	Climate change threatens agriculture and it remains a present global challenge to food security and Sustainable Development Goals. The potential impact on the supply of crops such as rice is seen as a major food security issue that requires intervention on several fronts. The literature on rice production, climate variations and climate change show several studies outlining various impacts on rice supply as a result of variations in temperature and rainfall. This study intends to further explore the impacts on rice production caused by temperature changes and rainfall variation by analyzing and modelling the production of rice by the top rice-producing countries globally. A time series of the national rice production and yield along with national average annual temperature and rainfall were sourced for 15 major rice-producing countries. The trends of the time series were then compared between the rice productivity variables and temperature and rainfall. A panel regression model was also developed to further assess the relationship between rice production and temperature and rainfall. The time series showed that rice production and yield are increasing for the majority of the countries analyzed. The panel regression model however showed that continued increase in temperature can result in decreased production of rice and that rainfall volume directly impacts rice output and therefore shows rice production is highly susceptible to flooding and drought events caused by climate variabilities.
Keywords	climate ; climate change ; drought ; food security ; rain ; regression analysis ; rice ; sustainable development ; temperature ; time series analysis ; Climate variability ; Precipitation ; Rice production ; Trend analysis
Language	English
Dates of publication	2023-04
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e15480
Database	NAL-Catalogue (AGRICOLA)

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