濒危物种
消光(光学矿物学)
过度开采
IUCN红色名录
栖息地破坏
政府(语言学)
生态系统服务
栖息地
气候变化
自然资源经济学
业务
生态学
濒危物种
环境资源管理
投资(军事)
地理
生态系统
生物
经济
政治学
古生物学
语言学
哲学
政治
法学
作者
Michelle Ward,Hugh P. Possingham,Brendan A. Wintle,John C. Z. Woinarski,Jessica R. Marsh,David G. Chapple,Mark Lintermans,Benjamin C. Scheele,Nick S. Whiterod,Conrad J. Hoskin,Bora Aska,Chuanji Yong,Ayesha Tulloch,Romola Stewart,James E. M. Watson
标识
DOI:10.1073/pnas.2414985122
摘要
The global extinction crisis is intensifying rapidly, driven by habitat loss, overexploitation, climate change, invasive species, and disease. This unprecedented loss of species not only threatens ecological integrity but also undermines ecosystem services vital for human survival. In response, many countries have set ambitious conservation targets such as halting species extinctions, yet the necessary financial commitments to achieve this are rarely prescribed. Estimating costs can be achieved using an ensemble of spatially variable species-specific cost models for threat abatement activities. We employ this method to provide a cost assessment to halt extinctions for Australia’s priority terrestrial and freshwater species. We show that it will cost ~AUD15.6 billion/year for 30 y to halt extinctions for these 99 priority species (comparable to 1% of Australia’s GDP). The more ambitious objectives to move priority species down one threat category (~AUD103.7 billion/year) or remove from the threatened species list entirely (~AUD157.7 billion/year) would require considerably more investment. Regardless of what is spent, we found that 16 (16%) priority species could not be removed from the threatened species list due to extensive historical declines and pervasive, ongoing, unmanageable threats, such as climate change. But implementing these efforts could ensure conservation benefits for over 43% of all nationally listed nonmarine threatened species. Adequate funding is crucial for meeting government commitments and requires both government leadership and private sector investment.
科研通智能强力驱动
Strongly Powered by AbleSci AI