info:ar-repo/semantics/parte de libro
Modelling impacts of drivers on biodiversity and ecosystems
Fecha
2016Registro en:
L. Brotons, V. Christensen, N. H. Ravindranath, M. Cao, J. H. Chun, O. Maury, P. L. Peri, V. Proença and B. Salihoglu, 2016: Modelling impacts of drivers on biodiversity and ecosystems. In IPBES (2016): The methodological assessment report on scenarios and models of biodiversity and ecosystem services. S. Ferrier, K. N. Ninan, P. Leadley, R. Alkemade, L. A. Acosta, H. R. Akçakaya, L. Brotons, W. W. L. Cheung, V. Christensen, K. A. Harhash, J. KabuboMariara, C. Lundquist, M. Obersteiner, H. M. Pereira, G. Peterson, R. Pichs-Madruga, N. Ravindranath, C. Rondinini and B. A. Wintle (eds.), Secretariat of the Intergovernmental Science-Policy Platform for Biodiversity and Ecosystem Services, Bonn, Germany.
978-92-807-3569-7
Autor
Brotons, Lluís
Christensen, Villy
Ravindranath, N. H.
Cao, Mingchang
Chun, Jung Hwa.
Maury, Olivier
Peri, Pablo Luis
Proença, Vânia
Salihoglu, Baris
Resumen
Purpose of this chapter: Explores key issues in modelling impacts of changes in direct drivers on biodiversity and ecosystems; and critically reviews major types of models for generating outputs that are either directly relevant to assessment and decision-support activities, or are required as inputs to subsequent modelling of nature’s benefits to people. Key findings: 1-Models of biodiversity and ecosystem function are critical to our capability to predict and understand responses to environmental change; 2- There is a need to match biodiversity and ecosystem function model development to stakeholder and policy needs; 3- Biodiversity and ecosystem modelling depends heavily on our understanding of ecosystem structure, function and process and on their adequate representation in models; 4- Uncertainty in ecosystem dynamics is inherent in ecosystem modelling.