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Natural Capital : = Quantifying Existing Stocks and Future Potential Using a Geospatial Approach.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Natural Capital :/
其他題名:	Quantifying Existing Stocks and Future Potential Using a Geospatial Approach.
作者:	Burke, Thomas.
面頁冊數:	1 online resource (237 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-02, Section: B.
Contained By:	Dissertations Abstracts International84-02B.
標題:	Agricultural production. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29235131click for full text (PQDT)
ISBN:	9798841562764

Natural Capital : = Quantifying Existing Stocks and Future Potential Using a Geospatial Approach.
Burke, Thomas.

Natural Capital :Quantifying Existing Stocks and Future Potential Using a Geospatial Approach. - 1 online resource (237 pages)

Source: Dissertations Abstracts International, Volume: 84-02, Section: B.

Thesis (Ph.D.)--Lancaster University (United Kingdom), 2022.

Includes bibliographical references

Geospatial techniques for quantifying, modelling, and mapping natural capital and ecosystem services have the potential to improve our understanding of the benefits provided by natural assets and identify changes in land use that could increase these benefits. However, questions remain around how such an approach could be implemented in practice. In this thesis, analyses are undertaken across multiple scales to explore how geospatial techniques can be applied to help solve current challenges in land management and planning.At the local scale, a land cover and benefit transfer methodology is developed and applied for the first time to value current natural capital assets within individual farms in the UK. This work highlights how the land cover product used in the methodology can have a substantial impact on valuations, with differences of up to 58% found at the five farms studied. The magnitude of these differences varies according to the landscape structure of the farm, with higher resolution land cover products incorporating larger amounts of woodland, primarily through inclusion of smaller patches, leading to overall higher valuations.At the national scale, the creation of new natural capital assets is explored by investigating proposed large-scale afforestation targets in the UK. In the initial part of the study, the feasibility of meeting these targets is investigated in the first national assessment of land available for afforestation, considering a range of physical, environmental, and policy constraints in three hypothetical planting scenarios. This found that while there is sufficient space to meet the afforestation targets in all three scenarios, this would require planting on a large proportion of unconstrained land, which could limit opportunities for spatially targeting woodland creation. The implications of this transformational change in British land cover, and policies that would be required to support this transition, are highlighted.In the second part of the study, the potential to deliver ecosystem services from afforestation is investigated. Models and spatial analysis are used to quantify the provision of carbon sequestration, recreation, and flood mitigation from potential new woodland across England, identifying targeted locations where new planting could maximise the provision of these three services. The impact of planning afforestation at different spatial scales is explored by identifying priority locations nationally and within smaller planning units such as local authorities. This shows that while spatial targeting within larger spatial units results in the greatest provision of ecosystem services, targeting even within smaller units provides substantially greater benefits than random, untargeted afforestation.Overall, the thesis develops and applies new geospatial tools for quantifying, modelling and mapping natural capital and ecosystem services. In doing so, it highlights the sensitivity of the techniques to the quality of the input data and the scale of the analysis. The outputs generate detailed insights into the distribution and potential changes in natural capital that can result from land use decisions which provides valuable evidence for directing future policy and practice.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798841562764Subjects--Topical Terms:

3559355
Agricultural production.
Index Terms--Genre/Form:

542853
Electronic books.

Natural Capital : = Quantifying Existing Stocks and Future Potential Using a Geospatial Approach.
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300 $a 1 online resource (237 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 84-02, Section: B.
500 $a Advisor: Whyatt, Duncan ; Blackburn, Alan ; Rowland, Clare.
502 $a Thesis (Ph.D.)--Lancaster University (United Kingdom), 2022.
504 $a Includes bibliographical references
520 $a Geospatial techniques for quantifying, modelling, and mapping natural capital and ecosystem services have the potential to improve our understanding of the benefits provided by natural assets and identify changes in land use that could increase these benefits. However, questions remain around how such an approach could be implemented in practice. In this thesis, analyses are undertaken across multiple scales to explore how geospatial techniques can be applied to help solve current challenges in land management and planning.At the local scale, a land cover and benefit transfer methodology is developed and applied for the first time to value current natural capital assets within individual farms in the UK. This work highlights how the land cover product used in the methodology can have a substantial impact on valuations, with differences of up to 58% found at the five farms studied. The magnitude of these differences varies according to the landscape structure of the farm, with higher resolution land cover products incorporating larger amounts of woodland, primarily through inclusion of smaller patches, leading to overall higher valuations.At the national scale, the creation of new natural capital assets is explored by investigating proposed large-scale afforestation targets in the UK. In the initial part of the study, the feasibility of meeting these targets is investigated in the first national assessment of land available for afforestation, considering a range of physical, environmental, and policy constraints in three hypothetical planting scenarios. This found that while there is sufficient space to meet the afforestation targets in all three scenarios, this would require planting on a large proportion of unconstrained land, which could limit opportunities for spatially targeting woodland creation. The implications of this transformational change in British land cover, and policies that would be required to support this transition, are highlighted.In the second part of the study, the potential to deliver ecosystem services from afforestation is investigated. Models and spatial analysis are used to quantify the provision of carbon sequestration, recreation, and flood mitigation from potential new woodland across England, identifying targeted locations where new planting could maximise the provision of these three services. The impact of planning afforestation at different spatial scales is explored by identifying priority locations nationally and within smaller planning units such as local authorities. This shows that while spatial targeting within larger spatial units results in the greatest provision of ecosystem services, targeting even within smaller units provides substantially greater benefits than random, untargeted afforestation.Overall, the thesis develops and applies new geospatial tools for quantifying, modelling and mapping natural capital and ecosystem services. In doing so, it highlights the sensitivity of the techniques to the quality of the input data and the scale of the analysis. The outputs generate detailed insights into the distribution and potential changes in natural capital that can result from land use decisions which provides valuable evidence for directing future policy and practice.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Agricultural production. $3 3559355
650 4 $a Forestry. $3 895157
650 4 $a Ecosystems. $3 595401
650 4 $a Climate change. $2 bicssc $3 2079509
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650 4 $a Carbon sequestration. $3 601998
650 4 $a Decision making. $3 517204
650 4 $a Maps. $3 544078
650 4 $a Recreation. $3 535376
650 4 $a Land use planning. $3 2122760
650 4 $a Plant reproduction. $3 3683497
650 4 $a Area planning & development. $3 3172430
650 4 $a Public policy. $3 532803
655 7 $a Electronic books. $2 lcsh $3 542853
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710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Lancaster University (United Kingdom). $3 1294170
773 0 $t Dissertations Abstracts International $g 84-02B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29235131 $z click for full text (PQDT)