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  1. Article ; Online: The economic value of a coastal protected area: an assessment of the Shell Beach Area in Guyana

    Moonsammy, Stephan / Critchlow, Kim / Warner, Devin

    J Coast Conserv. 2022 Dec., v. 26, no. 6 p.58-58

    2022  

    Abstract: The economic valuation of ecosystem services (ES) has been widely used for understanding the changes in the stock and flow of an ecosystem. The accepted notion is that as a result of markets failing to realize the benefits gained by society from ... ...

    Abstract The economic valuation of ecosystem services (ES) has been widely used for understanding the changes in the stock and flow of an ecosystem. The accepted notion is that as a result of markets failing to realize the benefits gained by society from ecosystems, there is a loss of ecosystem function and resources as they are viewed as free public goods. The Shell Beach area is one of the designated protected areas of Guyana and the only protected coastal zone in the country. It is also considered an ecosystem and biodiversity hotspot. The geographical location of Shell Beach in the Region 1 area of Guyana shows the area vulnerable to coastal erosion and pollution particularly from potential oil spills in the country’s current oil operation. This study intends to estimate the value of the Shell Beach protected area based on what people are willing to pay to avoid a loss in the size of the protected area. The study adopts a discrete choice contingent valuation method which was used to calculate the average willingness to pay to avoid a loss in the Shell Beach area. Based on the data collected, it is estimated that people are willing to pay an average somewhere between US$118.44 – US$346.67 per year to avoid a loss in the Shell Beach area. The results show that people have a relatively high value for the area and would like to see the area protected from destruction.
    Keywords biodiversity ; coasts ; conservation areas ; contingent valuation ; ecological function ; ecosystems ; oils ; people ; pollution ; society ; willingness to pay ; Guyana
    Language English
    Dates of publication 2022-12
    Size p. 58.
    Publishing place Springer Netherlands
    Document type Article ; Online
    ZDB-ID 2053395-0
    ISSN 1874-7841 ; 1400-0350
    ISSN (online) 1874-7841
    ISSN 1400-0350
    DOI 10.1007/s11852-022-00901-3
    Database NAL-Catalogue (AGRICOLA)

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  2. 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 ... ...

    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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  3. 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

    Heliyon

    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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