Contributions of Spatially Explicit Landscape Models To Conservation Biology

1998 ◽  
pp. 497-507
Author(s):  
Eli Meir ◽  
Peter M. Kareiva
Keyword(s):  
Conservation Biology ◽  
Spatially Explicit ◽  
Landscape Models

scholarly journals Future forests and indicator-species population models

2007 ◽  
Vol 83 (1) ◽  
pp. 36-40 ◽  
Author(s):  
L A Venier ◽  
J L Pearce ◽  
B A Wintle ◽  
S A Bekessy
Keyword(s):  
Forest Management ◽  
Indicator Species ◽  
Sustainable Forest Management ◽  
Population Change ◽  
Biological Indicators ◽  
Spatially Explicit ◽  
Landscape Models ◽  
Dynamic Landscape ◽  
Brown Creeper ◽  
The Impact

In this paper, we provide an overview of a project that we initiated to explore the utility of spatially-explicit metapopulation models linked to dynamic landscape models as a way of incorporating biological indicators into sustainable forest management. We developed models for three indicator species as case studies; brown creeper (Certhis americana), redbacked vole (Clethrionomys gapperi) and red-backed salamander (Plethodon cinereus) in a northern Ontario landscape. Results from the project to date suggest that there are significant advantages to models that are spatially-explicit and dynamic in their treatment of both populations and landscapes. Dynamic landscape metapopulation (DLMP) models allow a manager to track population change through time in response to a changing landscape and a fluctuating environment. These DLMP models may be used to predict the impact of current and alternative forest management strategies on population sizes of a suite of species chosen to indicate the health of forest ecosystems. Key words: biological indicators, population viability analysis, population modeling, dynamic landscape modeling, sustainable forest management, brown creeper, red-backed salamander, red-backed vole

scholarly journals Assembling spatially explicit landscape models of pollen and spore dispersal by wind for risk assessment

2006 ◽  
Vol 273 (1594) ◽  
pp. 1705-1713 ◽  
Author(s):  
M.W Shaw ◽  
T.D Harwood ◽  
M.J Wilkinson ◽  
L Elliott
Keyword(s):  
Risk Assessment ◽  
Spatially Explicit ◽  
Spore Dispersal ◽  
Landscape Models

scholarly journals Spatially explicit and stochastic forest landscape model of fire disturbance and succession

2005 ◽  
Author(s):  
◽  
Jian Yang
Keyword(s):  
Fire Spread ◽  
Fire Disturbance ◽  
Spatially Explicit ◽  
Point Pattern ◽  
Forest Landscape ◽  
Simulation Methods ◽  
Fire Occurrence ◽  
Frequency Model ◽  
Landscape Models ◽  
Fire Patterns

Fire disturbance plays an important role in shaping ecosystem dynamics and vegetation patterns in many forested landscapes. This dissertation is dedicated to the modeling of fire disturbance in spatially explicit and stochastic forest landscape models, in particular, LANDIS model. A hierarchical fire frequency model was proposed to model fire occurrence. Four representative fire spread simulation methods were implemented in LANDIS. I compared fire patterns simulated using the four fire spread simulation methods under two fire occurrence process scenarios that are fuel-independent and fuel-dependent. Results showed that the incorporation of fuel into fire occurrence modeling greatly changes simulated fire patterns. Lastly, I used point process modeling approach to study the effects humans and other factors on the probability of fire occurrence in the Missouri Ozark Highlands. The spatial distribution of fire occurrence density, which is one of the results from point pattern modeling, can be further used in LANDIS as an input map for simulating fire occurrence.

Applying landscape ecology to conservation biology: Spatially explicit analysis reveals dispersal limits on threatened wetland gastropods

2007 ◽  
Vol 139 (3-4) ◽  
pp. 286-296 ◽  
Author(s):  
Karla Niggebrugge ◽  
Isabelle Durance ◽  
Alisa M. Watson ◽  
Rob S.E.W. Leuven ◽  
S.J. Ormerod
Keyword(s):  
Landscape Ecology ◽  
Conservation Biology ◽  
Spatially Explicit ◽  
Explicit Analysis
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