Designing a field sampling plan for landscape-pest ecological studies using VHR optical imagery

Abstract The objective of this study was to develop an easily replicable sampling methodology using very high spatial resolution (VHSR) optical imagery to study the effect of landscape composition on crop pest incidence and biological control. The methodology was developed for the millet head miner (MHM), Heliocheilus albipunctella (de Joannis) (Lepidoptera: Noctuidae), a key pest of millet in Senegal (West Africa). The sampling plan was developed according to two main hypotheses: (i) pest incidence increases with millet abundance in the landscape, and (ii) biological control increases with the abundance of semi-natural habitats in the landscape. VHSR satellite imagery (

[1]  Carsten Thies,et al.  REVIEWS AND SYNTHESES Landscape perspectives on agricultural intensification and biodiversity - ecosystem service management , 2005 .

[2]  N. Coops,et al.  Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications. , 2009 .

[3]  T. Bailey Spatial Analysis: A Guide for Ecologists , 2006 .

[4]  P. Ozer,et al.  Analysis of the vegetation trends using low resolution remote sensing data in Burkina Faso (1982–1999) for the monitoring of desertification , 2006 .

[5]  Colin P.D. Birch,et al.  Rectangular and hexagonal grids used for observation, experiment and simulation in ecology , 2007 .

[6]  José Madeira Netto,et al.  Caractéristiques spectrales des surfaces sableuses de la région côtière Nord-Ouest de l'Egypte : application aux données satellitaires SPOT , 1991 .

[7]  C. Justice,et al.  Analysis of the phenology of global vegetation using meteorological satellite data , 1985 .

[8]  R. Gardner,et al.  Landscape Ecology in Theory and Practice , 2015, Springer New York.

[9]  J. Wickham,et al.  Effects of landscape characteristics on land-cover class accuracy , 2003 .

[10]  Moses Azong Cho,et al.  Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[11]  D. A. Beck,et al.  Effect of aphids and the surrounding landscape on the abundance of Coccinellidae in cornfields , 2002 .

[12]  H. Décamps,et al.  Guide pour l'analyse statistique des échantillons d'invertébrés benthiques , 1973 .

[13]  K. Heinz,et al.  Relationships of landscape, prey and agronomic variables to the abundance of generalist predators in cotton (Gossypium hirsutum) fields , 2004, Landscape Ecology.

[14]  Teja Tscharntke,et al.  Landscape context of organic and conventional farms: influences on carabid beetle diversity , 2005 .

[15]  N. Pettorelli,et al.  Using the satellite-derived NDVI to assess ecological responses to environmental change. , 2005, Trends in ecology & evolution.

[16]  L. Fahrig,et al.  Effect of woody borders on insect density and diversity in crop fields: A landscape-scale analysis , 2000 .

[17]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[18]  A. Huete A soil-adjusted vegetation index (SAVI) , 1988 .

[19]  I. Vogiatzakis,et al.  Local management and landscape drivers of pollination and biological control services in a Kenyan agro-ecosystem , 2011 .

[20]  H. Nagendra Using remote sensing to assess biodiversity , 2001 .

[21]  D. King,et al.  Optimizing landscape selection for estimating relative effects of landscape variables on ecological responses , 2013, Landscape Ecology.

[22]  A. S. Gilchrist,et al.  Factors affecting the dispersal of large‐scale releases of the Queensland fruit fly, Bactrocera tryoni , 2012 .

[23]  Arno Schäpe,et al.  Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .

[24]  N. Elliott,et al.  Predator Abundance in Alfalfa Fields in Relation to Aphids, Within-Field Vegetation, and Landscape Matrix , 2002 .

[25]  Gerald J Niemi,et al.  Environmentally stratified sampling design for the development of Great Lakes environmental indicators , 2005, Environmental Monitoring & Assessment.

[26]  Danny Lo Seen,et al.  Crop area mapping in West Africa using landscape stratification of MODIS time series and comparison with existing global land products , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[27]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[28]  M. Fortin,et al.  Spatial Analysis: A Guide for Ecologists 1st edition , 2005 .

[29]  N. Elliott,et al.  Influence of within-field and landscape factors on aphid predator populations in wheat , 1999, Landscape Ecology.

[30]  Clement Atzberger,et al.  Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data , 2012, Remote. Sens..

[31]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[32]  Claire Lavigne,et al.  Does landscape composition affect pest abundance and their control by natural enemies? A review , 2013 .

[33]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[34]  D. Landis,et al.  Effect of Landscape Structure on Parasitoid Diversity and Parasitism in Agroecosystems , 1996 .

[35]  Uno Wennergren,et al.  Connecting landscape patterns to ecosystem and population processes , 1995, Nature.

[36]  Rebecca Chaplin-Kramer,et al.  A meta-analysis of crop pest and natural enemy response to landscape complexity. , 2011, Ecology letters.

[37]  T. Tscharntke,et al.  Sustainable pest regulation in agricultural landscapes: a review on landscape composition, biodiversity and natural pest control , 2006, Proceedings of the Royal Society B: Biological Sciences.

[38]  Eric J. Gustafson,et al.  Quantifying Landscape Spatial Pattern: What Is the State of the Art? , 1998, Ecosystems.

[39]  T. O. Crist,et al.  Conservation biological control and enemy diversity on a landscape scale , 2007 .

[40]  Steven E. Naranjo,et al.  Effects of Local and Landscape Factors on Population Dynamics of a Cotton Pest , 2012, PloS one.

[41]  R. Forman Some general principles of landscape and regional ecology , 1995, Landscape Ecology.

[42]  Heather Reese,et al.  Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis , 2014, Sensors.

[43]  E. Owusu,et al.  Assessment of yield loss due to the millet head miner, Heliocheilus albipunctella (Lepidoptera: Noctuidae) using a damage rating scale and regression analysis in Niger , 1998 .

[44]  Thomas Blaschke,et al.  Geographic Object-Based Image Analysis – Towards a new paradigm , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.

[45]  Lenore Fahrig,et al.  The relative effects of road traffic and forest cover on anuran populations , 2008 .

[46]  Felix L. Wäckers,et al.  Hibernation of predatory arthropods in semi-natural habitats , 2009, BioControl.

[47]  A. Hirzel,et al.  Which is the optimal sampling strategy for habitat suitability modelling , 2002 .

[48]  A. Gentry Tree species richness of upper Amazonian forests. , 1988, Proceedings of the National Academy of Sciences of the United States of America.

[49]  Chris Funk,et al.  Crop area estimation using high and medium resolution satellite imagery in areas with complex topography , 2008 .

[50]  L. Fahrig,et al.  Determining the Spatial Scale of Species' Response to Habitat , 2004 .

[51]  Heather Reese,et al.  Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[52]  N. Dessay,et al.  Objective sampling design in a highly heterogeneous landscape - characterizing environmental determinants of malaria vector distribution in French Guiana, in the Amazonian region , 2013, BMC Ecology.

[53]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .

[54]  Giles M. Foody,et al.  On the compensation for chance agreement in image classification accuracy assessment, Photogram , 1992 .

[55]  M.,et al.  Statistical and Structural Approaches to Texture , 2022 .

[56]  C. Germain,et al.  Caractérisation multi-échelle de l'anisotropie d'une texture , 1997 .

[57]  L. Fahrig,et al.  How should we measure landscape connectivity? , 2000, Landscape Ecology.

[58]  K. Freemark,et al.  Matrix Matters: Effects of Surrounding Land Uses on Forest Birds Near Ottawa, Canada , 2005, Landscape Ecology.