Pest risk modelling and mapping for invasive alien species
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9781780643946

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Process-based pest risk mapping using Bayesian networks and GIS.

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0171 ◽

2015 ◽

pp. 171-188 ◽

Cited By ~ 3

Author(s):

R. D. van Klinken ◽

J. V. Murray ◽

C. Smith

Keyword(s):

Bayesian Networks ◽

Risk Mapping ◽

Pest Risk

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Modelling the spread of invasive species to support pest risk assessment: principles and application of a suite of generic models.

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0115 ◽

2015 ◽

pp. 115-130

Author(s):

C. Robinet ◽

H. Kehlenbeck ◽

W. van der Werf

Keyword(s):

Risk Assessment ◽

Invasive Species ◽

Generic Models ◽

Pest Risk Assessment ◽

Pest Risk

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Following the transportation trail to anticipate human-mediated invasions in terrestrial ecosystems.

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0035 ◽

2015 ◽

pp. 35-48

Author(s):

M. Colunga-Garcia ◽

R. A. Haack

Keyword(s):

Terrestrial Ecosystems

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Identifying and assessing critical uncertainty thresholds in a forest pest risk model.

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0189 ◽

2015 ◽

pp. 189-205

Author(s):

F. H. Koch ◽

D. Yemshanov

Keyword(s):

Risk Model ◽

Forest Pest ◽

Pest Risk

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The NCSU/APHIS plant pest forecasting system (NAPPFAST).

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0082 ◽

2015 ◽

pp. 82-96 ◽

Cited By ~ 4

Author(s):

R. D. Magarey ◽

D. M. Borchert ◽

G. A. Fowler ◽

S. C. Hong

Keyword(s):

Plant Pest ◽

Forecasting System

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Assessing the quality of pest risk models.

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0223 ◽

2015 ◽

pp. 223-233

Author(s):

S. J. Venette

Keyword(s):

Risk Models ◽

Pest Risk

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Detecting and interpreting patterns within regional pest species assemblages using self-organizing maps and other clustering methods.

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0097 ◽

2015 ◽

pp. 97-114

Author(s):

S. Worner ◽

R. Eschen ◽

M. Kenis ◽

D. Paini ◽

K. Saikkonen ◽

...

Keyword(s):

Species Assemblages ◽

Pest Species ◽

Clustering Methods ◽

Self Organizing Maps ◽

Self Organizing

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Mapping endangered areas for pest risk analysis.

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0018 ◽

2015 ◽

pp. 18-34 ◽

Cited By ~ 1

Author(s):

R. Baker ◽

D. Eyre ◽

S. Brunel ◽

M. Dupin ◽

P. Reynaud ◽

...

Keyword(s):

Risk Analysis ◽

Pest Risk Analysis ◽

Pest Risk

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Making invasion models useful for decision makers: incorporating uncertainty, knowledge gaps and decision-making preferences.

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0206 ◽

2015 ◽

pp. 206-222 ◽

Cited By ~ 3

Author(s):

D. Yemshanov ◽

F. H. Koch ◽

M. Ducey

Keyword(s):

Decision Making ◽

Decision Makers ◽

Knowledge Gaps ◽

Invasion Models

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Using the MAXENT program for species distribution modelling to assess invasion risk.

Pest risk modelling and mapping for invasive alien species ◽

10.1079/9781780643946.0065 ◽

2015 ◽

pp. 65-81 ◽

Cited By ~ 1

Author(s):

C. S. Jarnevich ◽

N. Young

Keyword(s):

Species Distribution ◽

Species Distribution Modelling ◽

Invasion Risk ◽

Distribution Modelling

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Pest risk modelling and mapping for invasive alien speciesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By CABI

Process-based pest risk mapping using Bayesian networks and GIS.

Modelling the spread of invasive species to support pest risk assessment: principles and application of a suite of generic models.

Following the transportation trail to anticipate human-mediated invasions in terrestrial ecosystems.

Identifying and assessing critical uncertainty thresholds in a forest pest risk model.

The NCSU/APHIS plant pest forecasting system (NAPPFAST).

Assessing the quality of pest risk models.

Detecting and interpreting patterns within regional pest species assemblages using self-organizing maps and other clustering methods.

Mapping endangered areas for pest risk analysis.

Making invasion models useful for decision makers: incorporating uncertainty, knowledge gaps and decision-making preferences.

Using the MAXENT program for species distribution modelling to assess invasion risk.

Pest risk modelling and mapping for invasive alien species
Latest Publications