Emerging Opportunities for Landscape Ecological Modelling

被引:1
|
作者
Nicholas W. Synes
Calum Brown
Kevin Watts
Steven M. White
Mark A. Gilbert
Justin M. J. Travis
机构
[1] University of Aberdeen,Institute of Biological and Environmental Sciences
[2] Arizona State University,School of Geographical Sciences & Urban Planning
[3] University of Edinburgh,School of Geosciences
[4] Forest Research,undefined
[5] Alice Holt Lodge,undefined
[6] Centre for Ecology & Hydrology,undefined
[7] Benson Lane,undefined
[8] Wolfson Centre for Mathematical Biology,undefined
[9] Mathematical Institute,undefined
[10] Radcliffe Observatory Quarter,undefined
关键词
Landscape ecology; Pattern; Process; Simulation modelling; Socio-ecological systems;
D O I
10.1007/s40823-016-0016-7
中图分类号
学科分类号
摘要
Landscape ecological modelling provides a vital means for understanding the interactions between geographical, climatic, and socio-economic drivers of land-use and the dynamics of ecological systems. This growing field is playing an increasing role in informing landscape spatial planning and management. Here, we review the key modelling approaches that are used in landscape modelling and in ecological modelling. We identify an emerging theme of increasingly detailed representation of process in both landscape and ecological modelling, with complementary suites of modelling approaches ranging from correlative, through aggregated process based approaches to models with much greater structural realism that often represent behaviours at the level of agents or individuals. We provide examples of the considerable progress that has been made at the intersection of landscape modelling and ecological modelling, while also highlighting that the majority of this work has to date exploited a relatively small number of the possible combinations of model types from each discipline. We use this review to identify key gaps in existing landscape ecological modelling effort and highlight emerging opportunities, in particular for future work to progress in novel directions by combining classes of landscape models and ecological models that have rarely been used together.
引用
收藏
页码:146 / 167
页数:21
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