Habitat suitability modelling of an invasive plant with advanced remote sensing data Export

@article{citeulike:4829430, abstract = {Aim Lepidium latifolium (Brassicaceae; perennial pepperweed) is a noxious Eurasian weed invading riparian and wetland areas of the western USA. Understanding which sites are most susceptible to invasion by L. latifolium will allow more efficient management of this weed. We assessed the ability of advanced remote sensing techniques to develop habitat suitability models for L. latifolium.Location  San Francisco Bay/Sacramento-San Joaquin River Delta, California, USA.Methods  Lepidium latifolium distribution was mapped with hyperspectral image data of Rush Ranch Open Space Preserve, providing presence/absence data to train and validate habitat models. A high-resolution light detection and ranging digital elevation model was used to derive predictor environmental variables (distance to channel, distance to upland, elevation, slope, aspect and convexity). Aggregate decision tree models were used to predict the potential distribution of this species.Results  Lepidium latifolium infested two zones: near the marshland2013upland margin and along channels within the marsh. Topographical data, which are typically strongly correlated with wetland species distributions, were relatively unimportant to L. latifolium occurrence, although relevant microtopography information, particularly relative elevation, was subsumed in the distance to channel variable. The map of potential L. latifolium distribution reveals that Rush Ranch contains considerable habitat that it is susceptible to continued invasion.Main conclusions  Lepidium latifolium invades relatively less stressful sites along the inundation and salinity gradients. Advanced remote sensing datasets were shown to be sufficient for species distribution modelling. Remote sensing offers powerful tools that deserve wider use in ecological research and management.}, address = {Department of Land, Air \& Water Resources, University of California Davis, Davis, CA 95616, USA}, author = {Andrew, Margaret E. and Ustin, Susan L.}, citeulike-article-id = {4829430}, citeulike-linkout-0 = {http://dx.doi.org/10.1111/j.1472-4642.2009.00568.x}, citeulike-linkout-1 = {http://www.ingentaconnect.com/content/bsc/ddi/2009/00000015/00000004/art00008}, citeulike-linkout-2 = {http://www3.interscience.wiley.com/cgi-bin/abstract/122210975/ABSTRACT}, doi = {10.1111/j.1472-4642.2009.00568.x}, issn = {1472-4642}, journal = {Diversity and Distributions}, keywords = {0print, classification, detection, distribution, hyperspectral, invasibility, invasive, lidar, light, modelling, models, ranging, regression, remote, sensing, species, tree}, number = {4}, pages = {627--640}, posted-at = {2009-07-28 10:47:30}, priority = {2}, publisher = {Blackwell Publishing}, title = {Habitat suitability modelling of an invasive plant with advanced remote sensing data}, url = {http://dx.doi.org/10.1111/j.1472-4642.2009.00568.x}, volume = {15}, year = {2009} }

TY - JOUR ID - citeulike:4829430 L3 - citeulike-article-id:4829430 N2 - Aim Lepidium latifolium (Brassicaceae; perennial pepperweed) is a noxious Eurasian weed invading riparian and wetland areas of the western USA. Understanding which sites are most susceptible to invasion by L. latifolium will allow more efficient management of this weed. We assessed the ability of advanced remote sensing techniques to develop habitat suitability models for L. latifolium.Location  San Francisco Bay/Sacramento-San Joaquin River Delta, California, USA.Methods  Lepidium latifolium distribution was mapped with hyperspectral image data of Rush Ranch Open Space Preserve, providing presence/absence data to train and validate habitat models. A high-resolution light detection and ranging digital elevation model was used to derive predictor environmental variables (distance to channel, distance to upland, elevation, slope, aspect and convexity). Aggregate decision tree models were used to predict the potential distribution of this species.Results  Lepidium latifolium infested two zones: near the marshland2013upland margin and along channels within the marsh. Topographical data, which are typically strongly correlated with wetland species distributions, were relatively unimportant to L. latifolium occurrence, although relevant microtopography information, particularly relative elevation, was subsumed in the distance to channel variable. The map of potential L. latifolium distribution reveals that Rush Ranch contains considerable habitat that it is susceptible to continued invasion.Main conclusions  Lepidium latifolium invades relatively less stressful sites along the inundation and salinity gradients. Advanced remote sensing datasets were shown to be sufficient for species distribution modelling. Remote sensing offers powerful tools that deserve wider use in ecological research and management. IS - 4 JF - Diversity and Distributions SN - 1472-4642 AD - Department of Land, Air & Water Resources, University of California Davis, Davis, CA 95616, USA EP - 640 TI - Habitat suitability modelling of an invasive plant with advanced remote sensing data PB - Blackwell Publishing VL - 15 SP - 627 KW - 0print KW - classification KW - detection KW - distribution KW - hyperspectral KW - invasibility KW - invasive KW - lidar KW - light KW - modelling KW - models KW - ranging KW - regression KW - remote KW - sensing KW - species KW - tree AU - Andrew, Margaret AU - Ustin, Susan PY - 2009/// UR - http://dx.doi.org/10.1111/j.1472-4642.2009.00568.x ER -