Upscaling species invasion patterns from local to regional for forest ecosystem management

C.M. Joshi, J. de Leeuw, A.K. Skidmore

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Almost all remote sensing studies model invasion of species dominating ecosystems canopies, typically in predicting their presence or absence. However, a vast majority of invasive species do not dominate ecosystems canopies. Remote sensing experts have traditionally overlooked such cryptic invaders spatial distribution and productivity pattern within map units for a variety of reasons including spectral response limitations and inadequate quantitative data. Almost none attempted to model and upscale such populations distributed across forest understorey environment. These inclusions reduce the capability of remote sensing and GIS techniques or importance of maps. This is crucial in invasive species management. In this study, we synthesized data from different remote sensing and GIS sources to (1) model the actual and potential area and forest types in Nepal vulnerable to invasion of the Chromolaena odorata, one of the world's worst cryptic invasive species and (2) segregate the reproductive and non-reproductive populations at national scale using local scale information. Results reveals that invasive species models developed at local scale could successfully be up scaled at national scale. The map of current potential distribution of C. odorata shows that out of 75 forest communities of Nepal, 9 are currently infested by the C. odorata. They are: Acacia - Dalbergia, Alder, Hill Shorea, Pine, Pine - broad leaved forest, Riverine broad leaved, Schima - Castanopsis, Terai Shorea and Upper tropical riverine forest. Such information is crucial for land managers to focus their precious funds and efforts to control the spread of this species and so that the control methods are practical.
Original languageEnglish
Title of host publicationISPRS 2006 : ISPRS mid-term symposium 2006 remote sensing : from pixels to processes, 8-11 May 2006, Enschede, the Netherlands. Enschede : ITC, 2006. 6 p.
EditorsNorman Kerle, Andrew Skidmore
Place of PublicationEnschede, The Netherlands
PublisherInternational Institute for Geo-Information Science and Earth Observation
Number of pages6
Volume36
Edition7
Publication statusPublished - 11 May 2006
EventISPRS Commission VII Symposium on 'Remote Sensing: From Pixels to Processes' 2006 - Enschede, Netherlands
Duration: 8 May 200611 May 2006
https://www.isprs.org/proceedings/XXXVI/part7/

Conference

ConferenceISPRS Commission VII Symposium on 'Remote Sensing: From Pixels to Processes' 2006
CountryNetherlands
CityEnschede
Period8/05/0611/05/06
Internet address

Keywords

  • ADLIB-ART-1325
  • NRS

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    Joshi, C. M., de Leeuw, J., & Skidmore, A. K. (2006). Upscaling species invasion patterns from local to regional for forest ecosystem management. In N. Kerle, & A. Skidmore (Eds.), ISPRS 2006 : ISPRS mid-term symposium 2006 remote sensing : from pixels to processes, 8-11 May 2006, Enschede, the Netherlands. Enschede : ITC, 2006. 6 p. (7 ed., Vol. 36). Enschede, The Netherlands: International Institute for Geo-Information Science and Earth Observation.