Adaptive roadside sampling for bark beetle damage assessment

[1]  Caf Beijing,et al.  A Review of Adaptive Cluster Sampling in Multi-Resource Inventory , 2009 .

[2]  J. Negrón,et al.  The effectiveness of vegetation management practices for prevention and control of bark beetle infestations in coniferous forests of the western and southern United States , 2007 .

[3]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[4]  Dominique Guyon,et al.  The contribution of remote sensing to the assessment of drought effects in forest ecosystems , 2006 .

[5]  Michael A. Wulder,et al.  Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities , 2006 .

[6]  J. Škvarenina,et al.  Effects of intensive versus no management strategies during an outbreak of the bark beetle Ips typographus (L.) (Col.: Curculionidae, Scolytinae) in the Tatra Mts. in Poland and Slovakia , 2006 .

[7]  Suzana Dragicevic,et al.  Integrating high resolution remote sensing, GIS and fuzzy set theory for identifying susceptibility areas of forest insect infestations , 2005 .

[8]  R. Nielson,et al.  Evaluation of optimized variable area transect sampling using totally enumerated field data sets , 2005 .

[9]  H. Roininen,et al.  The influence of windthrow area and timber characteristics on colonization of wind-felled spruces by Ips typographus (L.) , 2005 .

[10]  J. Borkowski,et al.  A review of adaptive cluster sampling: 1990–2003 , 2005, Environmental and Ecological Statistics.

[11]  D. Wainhouse Ecological Methods in Forest Pest Management , 2005 .

[12]  Julia A. Jones,et al.  Plant-pest interactions in time and space: A Douglas-fir bark beetle outbreak as a case study , 1999, Landscape Ecology.

[13]  B. Manly,et al.  Restricted adaptive cluster sampling , 1998, Environmental and Ecological Statistics.

[14]  M. Gilbert,et al.  Post-storm surveys reveal large-scale spatial patterns and influences of site factors, forest structure and diversity in endemic bark-beetle populations , 2004, Landscape Ecology.

[15]  Michael A. Wulder,et al.  Detection and monitoring of the mountain pine beetle , 2004 .

[16]  J. Grégoire,et al.  Bark and Wood Boring Insects in Living Trees in Europe, a Synthesis , 2004, Springer Netherlands.

[17]  L. M. Schroeder,et al.  Tree killing by Ips typographus (Coleoptera: Scolytidae) at stand edges with and without colonized felled spruce trees , 2003 .

[18]  Anna Ringvall Guided transect sampling with a new strategy for second-stage guidance , 2003 .

[19]  S. T. Buckland,et al.  Adaptive Line Transect Sampling , 2002, Biometrics.

[20]  Kenneth H. Pollock,et al.  Large scale wildlife monitoring studies: statistical methods for design and analysis , 2002 .

[21]  L. M. Schroeder,et al.  Attacks on living spruce trees by the bark beetle Ips typographus (Col. Scolytidae) following a storm‐felling: a comparison between stands with and without removal of wind‐felled trees , 2002 .

[22]  W. M. Khaemba,et al.  Empirically simulated study to compare and validate sampling methods used in aerial surveys of wildlife populations , 2001 .

[23]  Lars Wichmann,et al.  The spread of Ips typographus (L.) (Coleoptera, Scolytidae) attacks following heavy windthrow in Denmark, analysed using GIS , 2001 .

[24]  Göran Ståhl,et al.  Guided transect sampling for assessing sparse populations. , 2000 .

[25]  B. Acharyaa,et al.  Systematic adaptive cluster sampling for the assessment of rare tree species in Nepal , 2000 .

[26]  K. Heliövaara,et al.  Attack density and breeding success of bark beetles (Coleoptera, Scolytidae) at different distances from forest‐clearcut edge , 1999 .

[27]  G. Seber,et al.  Estimating Animal Abundance: Review III , 1999 .

[28]  R. Coulson,et al.  Heterogeneity of forest landscapes and the distribution and abundance of the southern pine beetle , 1999 .

[29]  M. Kimberley,et al.  ESTIMATION OF THE EFFICIENCY OF PEST DETECTION SURVEYS , 1999 .

[30]  K. Heliövaara,et al.  Bark beetle diversity at different spatial scales , 1998 .

[31]  R. Engeman,et al.  OPTIMIZATION OF VARIABLE AREA TRANSECT SAMPLING USING MONTE CARLO SIMULATION , 1998 .

[32]  G. Bradfield,et al.  Forest roadside sampling of larvae and adults of the western hemlock looper, Lambdina fiscellaria lugubrosa , 1997 .

[33]  K. Heliövaara,et al.  Forest insects and environmental variation in stand edges. , 1997 .

[34]  David R. Anderson,et al.  Distance Sampling: Estimating Abundance of Biological Populations , 1995 .

[35]  Francis A. Roesch Adaptive Cluster Sampling for Forest Inventories , 1993 .

[36]  F. Schlyter,et al.  Distribution of a bark beetle and its predator within and outside old growth forest reserves: No increase of hazard near reserves , 1993 .

[37]  G. M. Filip,et al.  Beetle-pathogen interactions in conifer forests , 1993 .

[38]  J. Gentle,et al.  Randomization and Monte Carlo Methods in Biology. , 1990 .

[39]  P. C. S. Carter,et al.  Risk assessment and pest detection surveys for exotic pests and diseases which threaten commercial forestry in New Zealand. , 1989 .

[40]  F. Lieutier,et al.  Spatial and temporal distribution of attacks by Tomicus piniperda L. and Ips sexdentatus Boern. (Col., Scolytidae) on Pinus sylvestris , 1988 .

[41]  J. D. Hodges,et al.  Host Resistance and Mortality: A Hypothesis Based on the Southern Pine Beetle-Microorganism-Host Interactions , 1985 .