Abstract
Original language | English |
---|---|
Article number | e11 |
Journal | Conservation Science and Practice |
Volume | 1 |
Issue number | 2 |
Early online date | 15 Apr 2019 |
DOIs | |
Publication status | Published - 2019 |
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Keywords
- applied conservation
- ecological models
- prediction
- projection
- simulation model
- statistical model
- uncertainty
Cite this
A concise guide to developing and using quantitative models in conservation management. / García-Díaz, Pablo (Corresponding Author); Prowse, Thomas A.A.; Anderson, Dean P.; Lurgi, Miguel; Binny, Rachelle N.; Cassey, Phillip.
In: Conservation Science and Practice, Vol. 1, No. 2, e11, 2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A concise guide to developing and using quantitative models in conservation management
AU - García-Díaz, Pablo
AU - Prowse, Thomas A.A.
AU - Anderson, Dean P.
AU - Lurgi, Miguel
AU - Binny, Rachelle N.
AU - Cassey, Phillip
N1 - European Union’s Horizon 2020, Grant/Award Number: 726176; French ANR, Grant/Award Numbers: ANR‐10‐LABX‐41, ANR‐11‐IDEX‐002‐02; French ꁆMidi‐Pyrénées Region, Grant/Award Number: CNRS 121090; ꁆEuropean Research Council, Grant/Award Number: 726176
PY - 2019
Y1 - 2019
N2 - Quantitative models are powerful tools for informing conservation management and decision-making. As applied modeling is increasingly used to address conservation problems, guidelines are required to clarify the scope of modeling applications and to facilitate the impact and acceptance of models by practitioners. We identify three key roles for quantitative models in conservation management: (a) to assess the extent of a conservation problem; (b) to provide insights into the dynamics of complex social and ecological systems; and, (c) to evaluate the efficacy of proposed conservation interventions. We describe 10 recommendations to facilitate the acceptance of quantitative models in conservation management, providing a basis for good practice to guide their development and evaluation in conservation applications. We structure these recommendations within four established phases of model construction, enabling their integration within existing workflows: (a) design (two recommendations); (b) specification (two); (c) evaluation (one); and (d) inference (five). Quantitative modeling can support effective conservation management provided that both managers and modelers understand and agree on the place for models in conservation. Our concise review and recommendations will assist conservation managers and modelers to collaborate in the development of quantitative models that are fit-for-purpose, and to trust and use these models appropriately while understanding key drivers of uncertainty.
AB - Quantitative models are powerful tools for informing conservation management and decision-making. As applied modeling is increasingly used to address conservation problems, guidelines are required to clarify the scope of modeling applications and to facilitate the impact and acceptance of models by practitioners. We identify three key roles for quantitative models in conservation management: (a) to assess the extent of a conservation problem; (b) to provide insights into the dynamics of complex social and ecological systems; and, (c) to evaluate the efficacy of proposed conservation interventions. We describe 10 recommendations to facilitate the acceptance of quantitative models in conservation management, providing a basis for good practice to guide their development and evaluation in conservation applications. We structure these recommendations within four established phases of model construction, enabling their integration within existing workflows: (a) design (two recommendations); (b) specification (two); (c) evaluation (one); and (d) inference (five). Quantitative modeling can support effective conservation management provided that both managers and modelers understand and agree on the place for models in conservation. Our concise review and recommendations will assist conservation managers and modelers to collaborate in the development of quantitative models that are fit-for-purpose, and to trust and use these models appropriately while understanding key drivers of uncertainty.
KW - applied conservation
KW - ecological models
KW - prediction
KW - projection
KW - simulation model
KW - statistical model
KW - uncertainty
UR - http://www.mendeley.com/research/concise-guide-developing-using-quantitative-models-conservation-management
U2 - 10.1111/csp2.11
DO - 10.1111/csp2.11
M3 - Article
VL - 1
JO - Conservation Science and Practice
JF - Conservation Science and Practice
IS - 2
M1 - e11
ER -