Exploring futures in landscape agronomy: Methodological issues and prospects of combining scenarios and spatially explicit models

Thomas Houet; Peter H. Verburg

doi:10.1007/978-3-031-05263-7_5

Exploring futures in landscape agronomy: Methodological issues and prospects of combining scenarios and spatially explicit models

Thomas Houet^*, Peter H. Verburg

^*Corresponding author for this work

Environmental Geography

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

95 Downloads (Pure)

Abstract

This chapter describes the combinations of spatially explicit models and scenarios to explore futures of agricultural landscapes. Modeling agricultural landscape changes remains highly challenging and strongly depends on the scale (resolution, extent) considered, leading to various types of models that have respecting advantages and drawbacks. Moreover, the type of scenario (e.g., trends, contrasting, alternative) to be simulated may influence the model design or choice, and vice versa. This chapter outlines main practices for (a) exploring agricultural futures in land change science and (b) LUCC modeling in landscape agronomy highlights, illustrating the converging interests of landscape agronomy and LUCC modeling, and the remaining challenges.

Original language	English
Title of host publication	Landscape Agronomy
Subtitle of host publication	Advances and Challenges of a Territorial Approach to Agricultural Issues
Editors	Davide Rizzo, Elisa Marraccini, Sylvie Lardon
Publisher	Springer International Publishing
Chapter	5
Pages	163-181
Number of pages	19
ISBN (Electronic)	9783031052637
ISBN (Print)	9783031052613
DOIs	https://doi.org/10.1007/978-3-031-05263-7_5
Publication status	Published - 2022

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2022.

Keywords

Agriculture
Land use and cover changes
Modeling
Review
Scales

Access to Document

10.1007/978-3-031-05263-7_5

Exploring Futures in Landscape AgronomyFinal published version, 447 KBLicence: Article 25fa Dutch Copyright Act

Persistent URL (handle)

Persistent link

Cite this

Houet, T., & Verburg, P. H. (2022). Exploring futures in landscape agronomy: Methodological issues and prospects of combining scenarios and spatially explicit models. In D. Rizzo, E. Marraccini, & S. Lardon (Eds.), Landscape Agronomy: Advances and Challenges of a Territorial Approach to Agricultural Issues (pp. 163-181). Springer International Publishing. https://doi.org/10.1007/978-3-031-05263-7_5

Houet, Thomas ; Verburg, Peter H. / Exploring futures in landscape agronomy : Methodological issues and prospects of combining scenarios and spatially explicit models. Landscape Agronomy: Advances and Challenges of a Territorial Approach to Agricultural Issues. editor / Davide Rizzo ; Elisa Marraccini ; Sylvie Lardon. Springer International Publishing, 2022. pp. 163-181

@inbook{771c8e62b37c4cc790c1765f6a5c3d5a,

title = "Exploring futures in landscape agronomy: Methodological issues and prospects of combining scenarios and spatially explicit models",

abstract = "This chapter describes the combinations of spatially explicit models and scenarios to explore futures of agricultural landscapes. Modeling agricultural landscape changes remains highly challenging and strongly depends on the scale (resolution, extent) considered, leading to various types of models that have respecting advantages and drawbacks. Moreover, the type of scenario (e.g., trends, contrasting, alternative) to be simulated may influence the model design or choice, and vice versa. This chapter outlines main practices for (a) exploring agricultural futures in land change science and (b) LUCC modeling in landscape agronomy highlights, illustrating the converging interests of landscape agronomy and LUCC modeling, and the remaining challenges.",

keywords = "Agriculture, Land use and cover changes, Modeling, Review, Scales",

author = "Thomas Houet and Verburg, {Peter H.}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2022.",

year = "2022",

doi = "10.1007/978-3-031-05263-7_5",

language = "English",

isbn = "9783031052613",

pages = "163--181",

editor = "Davide Rizzo and Elisa Marraccini and Sylvie Lardon",

booktitle = "Landscape Agronomy",

publisher = "Springer International Publishing",

}

Houet, T & Verburg, PH 2022, Exploring futures in landscape agronomy: Methodological issues and prospects of combining scenarios and spatially explicit models. in D Rizzo, E Marraccini & S Lardon (eds), Landscape Agronomy: Advances and Challenges of a Territorial Approach to Agricultural Issues. Springer International Publishing, pp. 163-181. https://doi.org/10.1007/978-3-031-05263-7_5

Exploring futures in landscape agronomy: Methodological issues and prospects of combining scenarios and spatially explicit models. / Houet, Thomas; Verburg, Peter H.
Landscape Agronomy: Advances and Challenges of a Territorial Approach to Agricultural Issues. ed. / Davide Rizzo; Elisa Marraccini; Sylvie Lardon. Springer International Publishing, 2022. p. 163-181.

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Exploring futures in landscape agronomy

T2 - Methodological issues and prospects of combining scenarios and spatially explicit models

AU - Houet, Thomas

AU - Verburg, Peter H.

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2022.

PY - 2022

Y1 - 2022

N2 - This chapter describes the combinations of spatially explicit models and scenarios to explore futures of agricultural landscapes. Modeling agricultural landscape changes remains highly challenging and strongly depends on the scale (resolution, extent) considered, leading to various types of models that have respecting advantages and drawbacks. Moreover, the type of scenario (e.g., trends, contrasting, alternative) to be simulated may influence the model design or choice, and vice versa. This chapter outlines main practices for (a) exploring agricultural futures in land change science and (b) LUCC modeling in landscape agronomy highlights, illustrating the converging interests of landscape agronomy and LUCC modeling, and the remaining challenges.

AB - This chapter describes the combinations of spatially explicit models and scenarios to explore futures of agricultural landscapes. Modeling agricultural landscape changes remains highly challenging and strongly depends on the scale (resolution, extent) considered, leading to various types of models that have respecting advantages and drawbacks. Moreover, the type of scenario (e.g., trends, contrasting, alternative) to be simulated may influence the model design or choice, and vice versa. This chapter outlines main practices for (a) exploring agricultural futures in land change science and (b) LUCC modeling in landscape agronomy highlights, illustrating the converging interests of landscape agronomy and LUCC modeling, and the remaining challenges.

KW - Agriculture

KW - Land use and cover changes

KW - Modeling

KW - Review

KW - Scales

UR - http://www.scopus.com/inward/record.url?scp=85153996590&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85153996590&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-05263-7_5

DO - 10.1007/978-3-031-05263-7_5

M3 - Chapter

AN - SCOPUS:85153996590

SN - 9783031052613

SP - 163

EP - 181

BT - Landscape Agronomy

A2 - Rizzo, Davide

A2 - Marraccini, Elisa

A2 - Lardon, Sylvie

PB - Springer International Publishing

ER -

Houet T, Verburg PH. Exploring futures in landscape agronomy: Methodological issues and prospects of combining scenarios and spatially explicit models. In Rizzo D, Marraccini E, Lardon S, editors, Landscape Agronomy: Advances and Challenges of a Territorial Approach to Agricultural Issues. Springer International Publishing. 2022. p. 163-181 Epub 2022 Sept 10. doi: 10.1007/978-3-031-05263-7_5

Exploring futures in landscape agronomy: Methodological issues and prospects of combining scenarios and spatially explicit models

Abstract

Bibliographical note

Keywords

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Cite this