Predicting extinction of mammals in the Brazilian Amazon
被引:25
作者:
Grelle, CEV
论文数: 0引用数: 0
h-index: 0
机构:
Univ Estado Rio De Janeiro, IBRAG, DBAV, Lab Zool Vertebrados,Setor Zool, BR-20559900 Rio De Janeiro, BrazilUniv Estado Rio De Janeiro, IBRAG, DBAV, Lab Zool Vertebrados,Setor Zool, BR-20559900 Rio De Janeiro, Brazil
Grelle, CEV
[1
]
机构:
[1] Univ Estado Rio De Janeiro, IBRAG, DBAV, Lab Zool Vertebrados,Setor Zool, BR-20559900 Rio De Janeiro, Brazil
Using the species-area correlation I predicted the percentage of endemic Amazonian mammals committed to extinction by 2020 as an outcome of deforestation resulting from the implementation of mega-infrastructure projects in the Brazilian Amazon. Simulations based on optimistic and non-optimistic deforestation scenarios showed a 2-fold and a 3-fold increase, respectively, in Amazonian mammals committed to extinction. The predicted number of threatened species by 2020 was 5-18% of the total number of endemic mammal species, depending on the scenario and equation used. This increase in extinction rates could be catastrophic for ecosystem stability in the Amazon because the loss of functional groups may produce a cascade effect of species extinctions.
机构:
Inst Nacl Pesquisas Espaciais, Div Proc Imagens, BR-12227010 Sao Jose Dos Campos, BrazilInst Nacl Pesquisas Espaciais, Div Proc Imagens, BR-12227010 Sao Jose Dos Campos, Brazil
机构:
Inst Nacl Pesquisas Espaciais, Div Proc Imagens, BR-12227010 Sao Jose Dos Campos, BrazilInst Nacl Pesquisas Espaciais, Div Proc Imagens, BR-12227010 Sao Jose Dos Campos, Brazil