Dynamic modelling to predict the likelihood of plant species persisting in fragmented landscapes in the face of climate change

Michael Renton; Nancy Shackelford; Rachel Standish

Dynamic modelling to predict the likelihood of plant species persisting in fragmented landscapes in the face of climate change

Michael Renton, Nancy Shackelford, Rachel Standish

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

Original language	English
Title of host publication	Proceedings of the 19th International Congress on Modelling and Simulation
Place of Publication	New Zealand
Publisher	Modelling and Simulation Society of Australia and New Zealand Inc.
Pages	2268-2274
Volume	1
ISBN (Print)	9780087214317
Publication status	Published - 2011
Event	19th International Congress on Modelling and Simulation: Sustaining our future: understanding and living with uncertainty - Perth Convention and Exhibition Centre , Perth, Australia Duration: 12 Dec 2011 → 16 Dec 2011

Conference

Conference	19th International Congress on Modelling and Simulation
Abbreviated title	MODSIM2011
Country/Territory	Australia
City	Perth
Period	12/12/11 → 16/12/11

UN SDGs

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

Cite this

Renton, Michael ; Shackelford, Nancy ; Standish, Rachel. / Dynamic modelling to predict the likelihood of plant species persisting in fragmented landscapes in the face of climate change. Proceedings of the 19th International Congress on Modelling and Simulation. Vol. 1 New Zealand : Modelling and Simulation Society of Australia and New Zealand Inc., 2011. pp. 2268-2274

@inproceedings{41000c3312434a4598be1ba177d05973,

title = "Dynamic modelling to predict the likelihood of plant species persisting in fragmented landscapes in the face of climate change",

author = "Michael Renton and Nancy Shackelford and Rachel Standish",

year = "2011",

language = "English",

isbn = "9780087214317",

volume = "1",

pages = "2268--2274",

booktitle = "Proceedings of the 19th International Congress on Modelling and Simulation",

publisher = "Modelling and Simulation Society of Australia and New Zealand Inc.",

note = "19th International Congress on Modelling and Simulation : Sustaining our future: understanding and living with uncertainty, MODSIM2011 ; Conference date: 12-12-2011 Through 16-12-2011",

}

Renton, M, Shackelford, N & Standish, R 2011, Dynamic modelling to predict the likelihood of plant species persisting in fragmented landscapes in the face of climate change. in Proceedings of the 19th International Congress on Modelling and Simulation. vol. 1, Modelling and Simulation Society of Australia and New Zealand Inc., New Zealand, pp. 2268-2274, 19th International Congress on Modelling and Simulation, Perth, Western Australia, Australia, 12/12/11.

Dynamic modelling to predict the likelihood of plant species persisting in fragmented landscapes in the face of climate change. / Renton, Michael; Shackelford, Nancy; Standish, Rachel.
Proceedings of the 19th International Congress on Modelling and Simulation. Vol. 1 New Zealand: Modelling and Simulation Society of Australia and New Zealand Inc., 2011. p. 2268-2274.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - Dynamic modelling to predict the likelihood of plant species persisting in fragmented landscapes in the face of climate change

AU - Renton, Michael

AU - Shackelford, Nancy

AU - Standish, Rachel

PY - 2011

Y1 - 2011

M3 - Conference paper

SN - 9780087214317

VL - 1

SP - 2268

EP - 2274

BT - Proceedings of the 19th International Congress on Modelling and Simulation

PB - Modelling and Simulation Society of Australia and New Zealand Inc.

CY - New Zealand

T2 - 19th International Congress on Modelling and Simulation

Y2 - 12 December 2011 through 16 December 2011

ER -