1 / 1

Amazon Scenarios: Modeling Interactions Among Land Use, Fire, and Climate CD-05, LC-14

Amazon Scenarios: Modeling Interactions Among Land Use, Fire, and Climate CD-05, LC-14. Training Six Brazilian PhD students Annual field course in Ecosystem ecology.

cortez
Télécharger la présentation

Amazon Scenarios: Modeling Interactions Among Land Use, Fire, and Climate CD-05, LC-14

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Amazon Scenarios: Modeling Interactions Among Land Use, Fire, and Climate CD-05, LC-14 • Training • Six Brazilian PhD students • Annual field course in • Ecosystem ecology Investigators: Daniel Nepstad (PI, WHRC, IPAM), Paulo Moutinho (PI, IPAM), Carlos Klink (PI, UNB), Pedro Dias Silva (USP), Britaldo Soares Filho (UFMG), Luis Solórzano (WHRC), Carlos Nobre (CPTEC), Heloisa Miranda (UNB), Eustaquio Reis (IPEA), Georgia Carvalho (WHRC), Robert Kaufmann (BU), Greg Amacher (VT).  WHRC: The Woods Hole Research Center; IPAM: Instituto de Pesquisa Ambiental da Amazônia; UNB: Universidade Federal de Brasília; USP: Universidade de São Paulo; UMG: Universidade Federal de Minas Gerais; CPTEC: Centro e Previsão de Tempo e Clima; IPEA: Instituto de Pesquisa Economica Aplicada; BU: Boston University; VT: Virginia Tech. Climate Ecosystems Economics • RAMS mesoscale climate model • COLA GCM • Climate responses to landcover scenarios • 3PG ecosystem model • Houghton carbon bookkeeping model • Fuel loading and microclimate • Plant-available soil water • Gap model to track forest disturbance/recovery • Sawmill interviews • Spatial model of logging profitability • Pasture, small-holders, Agri-business • Cost functions, production models (agri-business) • Logit models (spatial datasets) • Econometric models (census data) • Simulation models along economic corridors Landcover Aerosols Rain, T Rainfall, T 1998 Ppt-ET Landcover CARLUC Logging Burned Areas RisQue2 Land Conversion • Savanization Experiments: • Forest response to experimental burns: • 2 distances from edge • 2 levels of seed input • Subsoil controls • Savanization Experiments: • Forest response to experimental burns: • 2 distances from edge • 2 levels of seed input • Forest Flammability Experiments: • LAI, PAW, fuel load, fuel moisture • Santarém, Santana do Araguaia • Subsoil controls on Forest Boundaries • Four reference landscapes • 30 x 30Km mapped landscapes: • Forest fire and logging scar • Regrowth • Agriculture/Pasture • Paragominas, Mato Grosso, Santarém, Acre Mature Forest Logged/burned forest Pasture/Agriculture Savanna

More Related