Recognition of the invasive species Robinia pseudacacia from combined remote sensing and GIS sources

Monitoring the spread of invasive species is crucial for nature conservation; however regularity can only be assured if cost-effectiveness can be achieved. We aimed at testing low-cost remote sensing sources and simple methodology for recognising the invasive species Robinia pseudacacia and thus founding a monitoring scheme. A study area with mixed wooded stands containing R. pseudacacia has been selected for this purpose in NE Slovenia. Four different sources (Landsat ETM and airborne orthophotos from summer and spring) were tested together with a filtering for forested areas. Filtering was based either on Landsat information or on a forest polygon layer as alternatives. Generalised linear models were constructed in a training window within the study area to establish a statistical rule of recognition for the species based on spectral information. Models were tested both within and outside the training window for accuracy. As means of accuracy assessment both the well-established AUC and the specially adapted Jaccard index have been applied. The best and most reliable recognition was achieved by using the spring orthophoto, in which the species was captured in flower, combined with a GIS filtering by a forest vector layer. The superiority of this combination was especially striking when tested over the full study area. The Jaccard index appeared to be more sensitive in discrimination between models. Thus we conclude that even spectrally less detailed data sources may provide a basis for successful monitoring if the phenology of the target species is also considered.

[1]  Sunil Narumalani,et al.  Detecting and Mapping Four Invasive Species Along The Floodplain of North Platte River, Nebraska , 2009, Weed Technology.

[2]  R. Real,et al.  AUC: a misleading measure of the performance of predictive distribution models , 2008 .

[3]  C. Yang,et al.  Using High Resolution Satellite Imagery to Map Black Mangrove on the Texas Gulf Coast , 2008 .

[4]  A. Townsend Peterson,et al.  Rethinking receiver operating characteristic analysis applications in ecological niche modeling , 2008 .

[5]  S. Andelman,et al.  Conserving Biodiversity Efficiently: What to Do, Where, and When , 2007, PLoS biology.

[6]  J. H. Everitt,et al.  Use of Archive Aerial Photography for Monitoring Black Mangrove Populations , 2010 .

[7]  K. Itten,et al.  Estimating foliar biochemistry from hyperspectral data in mixed forest canopy , 2008 .

[8]  Omri Allouche,et al.  Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) , 2006 .

[9]  Bo Li,et al.  Invasive alien plants in China: diversity and ecological insights , 2008, Biological Invasions.

[10]  J. Blackard,et al.  Journal of Applied , 2006 .

[11]  Giles M. Foody,et al.  IDENTIFICATION OF SPECIFIC TREE SPECIES IN ANCIENT SEMI-NATURAL WOODLAND FROM DIGITAL AERIAL SENSOR IMAGERY , 2005 .

[12]  T. Ricketts,et al.  Mapping the Economic Costs and Benefits of Conservation , 2006, PLoS biology.

[13]  T. Hothorn,et al.  Simultaneous Inference in General Parametric Models , 2008, Biometrical journal. Biometrische Zeitschrift.

[14]  I. Balla,et al.  Clonal approaches to growing black locust (Robinia pseudoacacia) in Hungary: a review , 2002 .

[15]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[16]  Z. Dzwonko,et al.  Effects of dominant trees and anthropogenic disturbances on species richness and floristic composition of secondary communities in southern Poland , 1997 .

[17]  V. Papanastasis,et al.  Integrating woody species into livestock feeding in the Mediterranean areas of Europe , 2008 .

[18]  D. Richardson,et al.  Novel ecosystems: theoretical and management aspects of the new ecological world order , 2006 .

[19]  S. Sarkar,et al.  Systematic conservation planning , 2000, Nature.

[20]  Karel Prach,et al.  Spontaneous Vegetation Succession in Gravel–Sand Pits: A Potential for Restoration , 2008 .

[21]  A. Laliberte,et al.  Classification of Willow Species Using Large-Scale Aerial Photography , 2005 .

[22]  C. McCormick Mapping Exotic Vegetation in the Everglades from Large-Scale Aerial Photographs , 1999 .

[23]  S. Dullinger,et al.  Climate change might drive the invasive tree Robinia pseudacacia into nature reserves and endangered habitats , 2010 .

[24]  Tomaz Podobnikar,et al.  Production of integrated digital terrain model from multiple datasets of different quality , 2005, Int. J. Geogr. Inf. Sci..

[25]  M. Dumortier,et al.  Universal criteria for species conservation priorities? Findings from a survey of public views across Europe , 2011 .

[26]  V. Remeš Effects of Exotic Habitat on Nesting Success, Territory Density, and Settlement Patterns in the Blackcap (Sylvia atricapilla ) , 2003 .

[27]  Mathieu Maheu-Giroux,et al.  Mapping the invasive species Phragmites australis in linear wetland corridors , 2005 .

[28]  Ross A. Hill,et al.  Mapping woodland species composition and structure using airborne spectral and LiDAR data , 2005 .

[29]  Antoine Guisan,et al.  Predictive habitat distribution models in ecology , 2000 .

[30]  D. Gorchov,et al.  Detecting an invasive shrub in a deciduous forest understory using late‐fall Landsat sensor imagery , 2007 .

[31]  Niklaus E. Zimmermann,et al.  Identifying habitat suitability for hazel grouse Bonasa bonasia at the landscape scale , 2006 .

[32]  M. Fladeland,et al.  Remote sensing for biodiversity science and conservation , 2003 .

[33]  Brack W. Hale,et al.  Examining native and exotic species diversity in European riparian forests , 2007 .

[34]  Tomaz,et al.  DEM Production/Updating Based on Environmental Variables Modeling and Conflation of Data Sources , 2010 .

[35]  L. Poorter,et al.  Effects of exotic invasive trees on nitrogen cycling: a case study in Central Spain , 2009, Biological Invasions.

[36]  Neil D. Burgess,et al.  Integrating costs into conservation planning across Africa , 2004 .

[37]  Arko Lucieer,et al.  apping invasive Fallopia japonica by combined spectral , spatial , and temporal nalysis of digital orthophotos , 2012 .

[38]  Mary C. Henry,et al.  Detecting an Invasive Shrub in Deciduous Forest Understories Using Remote Sensing , 2009, Weed Science.

[39]  S. Ustin,et al.  Mapping nonnative plants using hyperspectral imagery , 2003 .

[40]  P. Laiolo,et al.  Effects of logging and non-native tree proliferation on the birds overwintering in the upland forests of north-western Italy , 2003 .

[41]  B. K. Wyatt,et al.  The application of geographic information systems and remotely sensed data to the conservation of heathland fragments , 1995 .

[42]  K. Török,et al.  Invasion Gateways and Corridors in the Carpathian Basin: Biological Invasions in Hungary , 2003, Biological Invasions.

[43]  M. White,et al.  Measuring and comparing the accuracy of species distribution models with presence–absence data , 2011 .

[44]  Mary Ann Fajvan,et al.  A Comparison of Multispectral and Multitemporal Information in High Spatial Resolution Imagery for Classification of Individual Tree Species in a Temperate Hardwood Forest , 2001 .

[45]  S. K. Rice,et al.  Impacts of the exotic, nitrogen-fixing black locust (Robinia pseudoacacia) on nitrogen-cycling in a pine–oak ecosystem , 2004, Plant Ecology.

[46]  Sanjay Tomar,et al.  Biodiversity characterization at landscape level using geospatial modelling technique , 2000 .

[47]  Donald G. Barceloux Black Locust (Robinia pseudoacacia L.) , 2008 .

[48]  Derek W. Bailey,et al.  Mesquite encroachment impact on southern New Mexico rangelands: remote sensing and geographic information systems approach , 2011 .

[49]  R. Hill,et al.  Mapping tree species in temperate deciduous woodland using time‐series multi‐spectral data , 2010 .

[50]  B. V. Holle,et al.  Historical land use and environmental determinants of nonnative plant distribution in coastal southern New England. , 2007 .

[51]  K. Futai,et al.  Inhibition of the regeneration of Japanese black pine (Pinus thunbergii) by black locust (Robinia pseudoacacia) in coastal sand dunes , 2007, Journal of Forest Research.

[52]  J. Pergl,et al.  Aerial photographs as a tool for assessing the regional dynamics of the invasive plant species Heracleum mantegazzianum , 2005 .

[53]  Eric C. Turnblom,et al.  Fourier transformation of waveform Lidar for species recognition , 2011 .

[54]  Kirsi Valta-Hulkkonen,et al.  Remote sensing and GIS for detecting changes in the aquatic vegetation of a rehabilitated lake , 2004 .

[55]  Nancy F. Glenn,et al.  A review of remote sensing of invasive weeds and example of the early detection of spotted knapweed (Centaurea maculosa) and babysbreath (Gypsophila paniculata) with a hyperspectral sensor , 2005, Weed Science.

[56]  P. Meyera,et al.  Semi-automated procedures for tree species identification in high spatial resolution data from digitized colour infrared-aerial photography , 1996 .