Modelling complexity within agriculture using a dynamic sustainability assessment tool

Lelde Timma; Troels Kristensen; Marie Trydeman Knudsen; Elina Dace

Modelling complexity within agriculture using a dynamic sustainability assessment tool

Lelde Timma
, Troels Kristensen
, Marie Trydeman Knudsen
, Elina Dace

Research output: Contribution to specialist publication › Specialist article › Research

37 Downloads (Pure)

Abstract

In this work, a novel, dynamic sustainability assessment tool is presented and validated in a case study. This tool combines two methods—system dynamics (SD) and temporal soil carbon modelling. The case study for sustainability
analysis of Danish agriculture and green biorefineries supply chains is used. Thus, the model covers significant feed flows for animals and animal production, as well as limiting factors in the system, such as the ecosystem’s carrying capacity, total available land area, normative regulations, and time delays in decision-making. The development of the Danish agriculture sector is simulated and assessed in relation to the ecosystem’s carrying capacity until 2050, defined as 1.4 livestock units per hectare.

Original language	English
Pages	14-15
Volume	6
Specialist publication	The Project Repository Journal
Publication status	Published - Jul 2020
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 15 Life on Land

Keywords*

Agriculture
Ecosystem's carrying capacity
Modelling
System dynamics

Field of Science*

2.7 Environmental engineering

Publication Type*

6. Other publications

Access to Document

The Project Repository Journal_Vol6Final published version, 2.01 MBLicence: CC BY-NC-ND

Cite this

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title = "Modelling complexity within agriculture using a dynamic sustainability assessment tool",

abstract = "In this work, a novel, dynamic sustainability assessment tool is presented and validated in a case study. This tool combines two methods—system dynamics (SD) and temporal soil carbon modelling. The case study for sustainability analysis of Danish agriculture and green biorefineries supply chains is used. Thus, the model covers significant feed flows for animals and animal production, as well as limiting factors in the system, such as the ecosystem{\textquoteright}s carrying capacity, total available land area, normative regulations, and time delays in decision-making. The development of the Danish agriculture sector is simulated and assessed in relation to the ecosystem{\textquoteright}s carrying capacity until 2050, defined as 1.4 livestock units per hectare.",

keywords = "Agriculture, Ecosystem's carrying capacity, Modelling, System dynamics",

author = "Lelde Timma and Troels Kristensen and Knudsen, \{Marie Trydeman\} and Elina Dace",

year = "2020",

month = jul,

language = "English",

volume = "6",

pages = "14--15",

journal = "The Project Repository Journal",

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TY - GEN

T1 - Modelling complexity within agriculture using a dynamic sustainability assessment tool

AU - Timma, Lelde

AU - Kristensen, Troels

AU - Knudsen, Marie Trydeman

AU - Dace, Elina

PY - 2020/7

Y1 - 2020/7

N2 - In this work, a novel, dynamic sustainability assessment tool is presented and validated in a case study. This tool combines two methods—system dynamics (SD) and temporal soil carbon modelling. The case study for sustainability analysis of Danish agriculture and green biorefineries supply chains is used. Thus, the model covers significant feed flows for animals and animal production, as well as limiting factors in the system, such as the ecosystem’s carrying capacity, total available land area, normative regulations, and time delays in decision-making. The development of the Danish agriculture sector is simulated and assessed in relation to the ecosystem’s carrying capacity until 2050, defined as 1.4 livestock units per hectare.

AB - In this work, a novel, dynamic sustainability assessment tool is presented and validated in a case study. This tool combines two methods—system dynamics (SD) and temporal soil carbon modelling. The case study for sustainability analysis of Danish agriculture and green biorefineries supply chains is used. Thus, the model covers significant feed flows for animals and animal production, as well as limiting factors in the system, such as the ecosystem’s carrying capacity, total available land area, normative regulations, and time delays in decision-making. The development of the Danish agriculture sector is simulated and assessed in relation to the ecosystem’s carrying capacity until 2050, defined as 1.4 livestock units per hectare.

KW - Agriculture

KW - Ecosystem's carrying capacity

KW - Modelling

KW - System dynamics

UR - https://edition.pagesuite-professional.co.uk/html5/reader/production/default.aspx?pubname=&edid=eccee132-71e9-4f85-9676-c69f115a469b

M3 - Specialist article

SN - 2632-4067

VL - 6

SP - 14

EP - 15

JO - The Project Repository Journal

JF - The Project Repository Journal

ER -

Modelling complexity within agriculture using a dynamic sustainability assessment tool

Abstract

UN SDGs

Keywords*

Field of Science*

Publication Type*

Access to Document

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Dynamic sustainability assessment tool: Case study of green biorefineries in Danish agriculture

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