Biophysical and economic models for assessing impacts of change on grazingland ecosystems
dc.contributor | Hamilton, Wayne Trevor | en |
dc.contributor | Richardson, James | en |
dc.contributor | Ednilson de Oliveira Cabral, José | en |
dc.contributor.author | Souza, N. | en |
dc.contributor.author | Conner, J. | en |
dc.contributor.author | Stuth, Jerry | en |
dc.contributor.department | Sustainable Agriculture and Natural Resource Management (SANREM) Knowledgebase | en |
dc.coverage.spatial | South Texas | en |
dc.coverage.spatial | United States | en |
dc.date.accessioned | 2016-04-19T18:07:30Z | en |
dc.date.available | 2016-04-19T18:07:30Z | en |
dc.date.issued | 2001 | en |
dc.description | Metadata only record | en |
dc.description.abstract | This paper integrates three models to derive information on socioeconomic impacts of climatic conditions and management approaches for a typical South Texas ranch. The authors apply PHYGROW to simulate conditions on a South Texas cattle and goat ranch. POPMIX was used to simulate forage production with two cattle : goat ratios (to represent different management strategies). Simulation results, as well as two ten-year weather scenarios (30% and 50% drought years to simulate normal and dryer conditions), and estimated animal production and operating costs, were incorporated into a firm level income and policy simulator (FLIPSIM), to yield integrated predictions of socioeconomic impacts. | en |
dc.format.mimetype | text/plain | en |
dc.identifier | 260 | en |
dc.identifier.citation | Revista Brasileira de Engenharia Agrícola e Ambiental 5(1): 135-137 | en |
dc.identifier.uri | http://hdl.handle.net/10919/65323 | en |
dc.language.iso | en_US | en |
dc.publisher | Campina Grande, Brazil: Asociación Latinoamericana del Caribe de Ingeniería Agrícola | en |
dc.relation.uri | http://www.agriambi.com.br | en |
dc.subject | Forage | en |
dc.subject | Goats | en |
dc.subject | Cattle | en |
dc.subject | Modeling | en |
dc.subject | Livestock management | en |
dc.subject | Economic modeling and analysis | en |
dc.subject | Economic impacts | en |
dc.subject | Grazing systems | en |
dc.subject | Range management | en |
dc.subject | Simulations | en |
dc.subject | Model integration | en |
dc.subject | Grazingland ecosystems | en |
dc.subject | Management strategies | en |
dc.subject | Phytomass growth simulator (phygrow) | en |
dc.subject | Animal production | en |
dc.subject | Flipsim | en |
dc.subject | Socioeconomic impacts | en |
dc.subject | Farm/Enterprise Scale | en |
dc.title | Biophysical and economic models for assessing impacts of change on grazingland ecosystems | en |
dc.type | Abstract | en |
dc.type.dcmitype | Text | en |