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Fundamental concepts of GLOBIO and CLUE-S Methodology Denisse McLean Belize, August 2010.
Mean Species Abundance or MSA Single indicatorused in themethodologytoexpressbiodiversity Mean abundance of species in anarearelativeto original abundance in undisturbedstate Assignsthesamerelativeweighttoundisturbedecosystems of differentrichness New orinvasivespecies are excluded Indicator
Natural distribution of a representative set of species Mean Species Abundance
Meassure of theintactnessornaturalness  of anarea Expressedon a scalebetween 0 and 100% Mean Species Abundance MSA MSA MSA Original species Original species Original species
Example: Forest land uses MSA Primary forest 100% Selective extraction Secondary vegetation 50% Plantations Degraded lands 0% 5
Land use (intensity and changes) Road infrastructure Natural area fragmentation Climate change Atmospheric Nitrogen deposition Cause-effectrelations of eachpressure has beendeterminedthroughscientificliteraturereview(Alkemade et al., 2009) Pressures evaluated in GLOBIO MSA
Factorsthat determine eachpressureeffect in MSA has beenidentified General impactcategoriesof factorshavebeendeterminedwiththeircorresponding MSA value or Regressionshavebeendevelopedtoestimatethevalue of theindicatoraccordingtothevalue of the factor  Pressures evaluated in GLOBIO
Pressures evaluated in GLOBIO
Land use	Land use intensity InfrastructureDistancetoroadsPopulationdensityEcosystemtype FragmentationIsolatedpatchsize N DepositionNitrogenExceedance ClimatechangeTemperaturechangeEcosystemtype Pressures evaluated in GLOBIO
MSAtot  =   MSAluc  *   MSAinfra *   MSAfrag *   MSAclim *   MSAnitr MSA Estimation Impactlayers per pressurehavetobedetermined Spatialinformation of pressurefactorsiscompiled Informationisreclassifiedintoimpactcategories / regressions are applied Impactlayers are combined
Inputs Land use map Road map Ecosystem/ecorregionmap Nitrogendeposition and critical load map MSA value/regressiontables
12 MSA Estimation
Comparison between scenarios Multiphase modeling 13
Comparison between scenarios Information is estimated for the 5 pressures in the future Results: Biodiversity state and distribution trends according to selected scenarios
Additional inputs Futureland use map Futureroadmap (ifprojections are available) Otherpressureexpectedimpacts are adjustedaccordingto new land use and roadmaps
CLUE modelingframework (Verburg, 2002) Modelsthedinamiccompetitionbetweendifferentland use demands in anarea and thefactorsthat determine land use allocation Iterativeprocedure Land use modeling
Land use modeling
Scenariointegration
Futurestatemodeling
Results: Trends
Questions and Comments Thankyou

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Conceptosfundamentales honduras1en

  • 1. Fundamental concepts of GLOBIO and CLUE-S Methodology Denisse McLean Belize, August 2010.
  • 2. Mean Species Abundance or MSA Single indicatorused in themethodologytoexpressbiodiversity Mean abundance of species in anarearelativeto original abundance in undisturbedstate Assignsthesamerelativeweighttoundisturbedecosystems of differentrichness New orinvasivespecies are excluded Indicator
  • 3. Natural distribution of a representative set of species Mean Species Abundance
  • 4. Meassure of theintactnessornaturalness of anarea Expressedon a scalebetween 0 and 100% Mean Species Abundance MSA MSA MSA Original species Original species Original species
  • 5. Example: Forest land uses MSA Primary forest 100% Selective extraction Secondary vegetation 50% Plantations Degraded lands 0% 5
  • 6. Land use (intensity and changes) Road infrastructure Natural area fragmentation Climate change Atmospheric Nitrogen deposition Cause-effectrelations of eachpressure has beendeterminedthroughscientificliteraturereview(Alkemade et al., 2009) Pressures evaluated in GLOBIO MSA
  • 7. Factorsthat determine eachpressureeffect in MSA has beenidentified General impactcategoriesof factorshavebeendeterminedwiththeircorresponding MSA value or Regressionshavebeendevelopedtoestimatethevalue of theindicatoraccordingtothevalue of the factor Pressures evaluated in GLOBIO
  • 9. Land use Land use intensity InfrastructureDistancetoroadsPopulationdensityEcosystemtype FragmentationIsolatedpatchsize N DepositionNitrogenExceedance ClimatechangeTemperaturechangeEcosystemtype Pressures evaluated in GLOBIO
  • 10. MSAtot = MSAluc * MSAinfra * MSAfrag * MSAclim * MSAnitr MSA Estimation Impactlayers per pressurehavetobedetermined Spatialinformation of pressurefactorsiscompiled Informationisreclassifiedintoimpactcategories / regressions are applied Impactlayers are combined
  • 11. Inputs Land use map Road map Ecosystem/ecorregionmap Nitrogendeposition and critical load map MSA value/regressiontables
  • 13. Comparison between scenarios Multiphase modeling 13
  • 14. Comparison between scenarios Information is estimated for the 5 pressures in the future Results: Biodiversity state and distribution trends according to selected scenarios
  • 15. Additional inputs Futureland use map Futureroadmap (ifprojections are available) Otherpressureexpectedimpacts are adjustedaccordingto new land use and roadmaps
  • 16. CLUE modelingframework (Verburg, 2002) Modelsthedinamiccompetitionbetweendifferentland use demands in anarea and thefactorsthat determine land use allocation Iterativeprocedure Land use modeling