1) The document summarizes the GLOBIO methodology, which models mean species abundance (MSA) as an indicator to assess biodiversity loss due to human pressures like land use, infrastructure, climate change, and nitrogen deposition. 2) GLOBIO can evaluate current biodiversity state, identify trends, and evaluate policy options to support decision-making. It has been applied globally and for many countries and regions. 3) MSA is used as a single indicator, representing the average abundance of original species relative to an undisturbed state. GLOBIO aims to help identify causes of biodiversity loss and evaluate if targets will be attained under different policy scenarios.

1. Modeling of the Mean Species Abundance as a PolicyTool Denisse McLean Belize, August 2010.

2. 1. Presentthemodelingresultstokeystakeholders and decisionmakers. 2. Helpcountries in theimplementation of a new modelrunwithupdatedinformation Follow up objectives

3. Topresentthe fundamental concepts of GLOBIO methodology and topresenttheresults of themodelingexercisefortheregion and the country PresentationObjectives

4. Factorsinfluencingbiodiversityloss Land use: Light use: hunting and gathering Moderate use: selectiveextraction, extensive pastures Conversion: agriculture, woodextraction, forestplantations, cultivatedgrasslands Natural areafragmentation Pollution: Nitrogendeposition, nutrientleaking, toxicsubstances, noise, lights Water, changes in hidrology Climatechange: emissions, temperatureincrease

5. Direct and indirecteconomicvalues Importanceforpovertyreduction Ecosistemgoods and servicesprovisionprotection PoliticalcommitmenttotheConventiononBiologicalDiversity Significantreduction of therate of biodiversityloss NationalBiodiversityStrategies and ActionPlans (170 countries) Biodiversity importance in the political context

6. Estrategies to reduce biodiversity loss 100% Original Biodiversity Habitat destruction Overexplotation Protected Areas Infrastructure and fragmentation Pollution Mitigation measures Climate Change Restoration Sustainable use 0%

7. DevelopedbytheNetherlandEnvironmentalAssessmentAgency (PBL) and theUnitedNationEnvironmentalProgram (UNEP) Methodologytomeasure and evaluatebiodiversitylossduetotheeffect of humanpressures Estimatestherelativeimportance of eachpressure Evaluatestheexchangesbetweensocioeconomicdevelopments and theenvironment at the global, regional and nationalscale GLOBIO Methodology

8. Evaluatecurrentstate Identifytrends and evaluatepolicyoptions Estimulatediscussion Integratebiodiversity as a transversal issue Supportdecisionmaking GLOBIO Methodology: Objectives

10. Which are the causes of biodiversityloss?

11. Whatwillbethefuturestate?

12. Will (nationals/internationals) targets beattained?

13. Whichoptions can betakentoattainthem?GLOBIO Methodology

14. GLOBIO Methodology Environment Biodiversity Policy options Goals future past present

15. Known as MSA Single indicatorused in themethodologytoassessbiodiversity Mean abundancerelativeto original abundance in undisturbedstate Proxy of theindicator of “abundance and distritution of a set of selectedspecies” recommendedby CBD Mean Species Abundance

16. Land use (intensity and changes) Road infrastructure Natural area fragmentation Climate change Atmospheric Nitrogen deposition Pressures evaluated in GLOBIO MSA

18. RegionalGloblal deserts, Environmental Performance Assessment of the Mekong subregion, EU-Ruralis, Central America

19. NationalColombia, Ecuador, Peru, Nicaragua, Guatemala, Honduras, El Salvador, Belize, Panama, Mexico, Nicaragua, Kenya, Mozambique, Zambia, Cambodia, Laos, Myanmar, Tailandia, Vietnam

20. ProvincesYunan (China), Quang Nam (Vietnam) 13

21. Global Model 14

22. Global Model Alkemade et al., 2009

23. When other indicators do not provide enough information about the state of biodiversity in an area When information is only available for specific areas When looking to identify and analyse biodiversity loss trends 16 Why modeling with GLOBIO?

24. When looking to evaluate the impact of human pressures in biodiversity When looking to evaluate quantitatively and qualitatively the impact of environmental policies When looking to prove if policies will attain the expected environmental objectives Why modeling with GLOBIO?

25. Methodology and indicator limitations Contexts of application Figures vs. Trends Need to complement with other indicators Input quality Models are not definitive and should be improved based on available information In order to generate incidence results should be embedded in a specific policy process Pointstoconsider

26. Questions and Comments Thankyou