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Data from: Coupled land use and ecological models reveal emergence and feedbacks in socio‐ecological systems

Data from: Coupled land use and ecological models reveal emergence and feedbacks in socio‐ecological systems
Data from: Coupled land use and ecological models reveal emergence and feedbacks in socio‐ecological systems
All_ResultSummaryData file containing all simulation results. Column "Group" represents the group classification for each value, used to subset data for different analyses. "SimID" uniquely identifies each simulation's parameterisation (represented by the parameters: "Coupled", "NoPolliYield", "Rmax", "CarryingCapacity", "DispersalType").,Understanding the dynamics of socio‐ecological systems is crucial to the development of environmentally sustainable practices. Models of social or ecological sub‐systems have greatly enhanced such understanding, but at the risk of obscuring important feedbacks and emergent effects. Integrated modelling approaches have the potential to address this shortcoming by explicitly representing linked socio‐ecological dynamics. We developed a socio‐ecological system model by coupling an existing agent‐based model of land‐use dynamics and an individual‐based model of demography and dispersal. A hypothetical case‐study was established to simulate the interaction of crops and their pollinators in a changing agricultural landscape, initialised from a spatially random distribution of natural assets. The bi‐directional coupled model predicted larger changes in crop yield and pollinator populations than a unidirectional uncoupled version. The spatial properties of the system also differed, the coupled version revealing the emergence of spatial land‐use clusters that neither supported nor required pollinators. These findings suggest that important dynamics may be missed by uncoupled modelling approaches, but that these can be captured through the combination of currently‐available, compatible model frameworks. Such model integrations are required to further fundamental understanding of socio‐ecological dynamics and thus improve management of socio‐ecological systems.
DRYAD
Synes, Nicholas W.
d297c93f-97fe-45e0-bd6a-1e3785da744a
Brown, Calum
1ad61ed0-0f17-4843-b13e-a7d7cab3f2fc
Palmer, Stephen C. F.
92797f81-ceea-4591-97a1-0c198965e9fa
Bocedi, Greta
c85e44bf-9488-481b-8d4d-b8b10f59e23a
Osborne, Patrick E.
c4d4261d-557c-4179-a24e-cdd7a98fb2b8
Watts, Kevin
fe480d83-677c-4218-8943-3e39726f0371
Franklin, Janet
35b241a1-da31-4fe1-8a1c-6fe6f7221473
Travis, Justin M. J.
eeb29958-d843-49e0-8583-7515a7b7708c
Synes, Nicholas W.
d297c93f-97fe-45e0-bd6a-1e3785da744a
Brown, Calum
1ad61ed0-0f17-4843-b13e-a7d7cab3f2fc
Palmer, Stephen C. F.
92797f81-ceea-4591-97a1-0c198965e9fa
Bocedi, Greta
c85e44bf-9488-481b-8d4d-b8b10f59e23a
Osborne, Patrick E.
c4d4261d-557c-4179-a24e-cdd7a98fb2b8
Watts, Kevin
fe480d83-677c-4218-8943-3e39726f0371
Franklin, Janet
35b241a1-da31-4fe1-8a1c-6fe6f7221473
Travis, Justin M. J.
eeb29958-d843-49e0-8583-7515a7b7708c

(2018) Data from: Coupled land use and ecological models reveal emergence and feedbacks in socio‐ecological systems. DRYAD doi:10.5061/dryad.75j0k9c [Dataset]

Record type: Dataset

Abstract

All_ResultSummaryData file containing all simulation results. Column "Group" represents the group classification for each value, used to subset data for different analyses. "SimID" uniquely identifies each simulation's parameterisation (represented by the parameters: "Coupled", "NoPolliYield", "Rmax", "CarryingCapacity", "DispersalType").,Understanding the dynamics of socio‐ecological systems is crucial to the development of environmentally sustainable practices. Models of social or ecological sub‐systems have greatly enhanced such understanding, but at the risk of obscuring important feedbacks and emergent effects. Integrated modelling approaches have the potential to address this shortcoming by explicitly representing linked socio‐ecological dynamics. We developed a socio‐ecological system model by coupling an existing agent‐based model of land‐use dynamics and an individual‐based model of demography and dispersal. A hypothetical case‐study was established to simulate the interaction of crops and their pollinators in a changing agricultural landscape, initialised from a spatially random distribution of natural assets. The bi‐directional coupled model predicted larger changes in crop yield and pollinator populations than a unidirectional uncoupled version. The spatial properties of the system also differed, the coupled version revealing the emergence of spatial land‐use clusters that neither supported nor required pollinators. These findings suggest that important dynamics may be missed by uncoupled modelling approaches, but that these can be captured through the combination of currently‐available, compatible model frameworks. Such model integrations are required to further fundamental understanding of socio‐ecological dynamics and thus improve management of socio‐ecological systems.

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More information

Published date: 2018

Identifiers

Local EPrints ID: 449016
URI: http://eprints.soton.ac.uk/id/eprint/449016
PURE UUID: fd88b289-7ad4-43fa-8fb9-85c0aff232ae
ORCID for Patrick E. Osborne: ORCID iD orcid.org/0000-0001-8919-5710

Catalogue record

Date deposited: 13 May 2021 16:39
Last modified: 19 Jul 2023 01:38

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Contributors

Contributor: Nicholas W. Synes
Contributor: Calum Brown
Contributor: Stephen C. F. Palmer
Contributor: Greta Bocedi
Contributor: Patrick E. Osborne ORCID iD
Contributor: Kevin Watts
Contributor: Janet Franklin
Contributor: Justin M. J. Travis

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