Towards a better future for biodiversity and people: Modelling Nature Futures

Global Environmental Change所収

The Nature Futures Framework (NFF) is a heuristic tool for co-creating positive futures for nature and people. It seeks to open up a diversity of futures through mainly three value perspectives on nature – Nature for Nature, Nature for Society, and Nature as Culture. This paper describes how the NFF can be applied in modelling to support decision-making. First, we describe key considerations for the NFF in developing qualitative and quantitative scenarios: i) multiple value perspectives on nature as a state space where pathways improving nature toward a frontier can be represented, ii) mutually reinforcing key feedbacks of social-ecological systems that are important for nature conservation and human wellbeing, iii) indicators of multiple knowledge systems describing the evolution of complex social-ecological dynamics. We then present three approaches to modelling Nature Futures scenarios in the review, screening, and design phases of policy processes. This paper seeks to facilitate the integration of relational values of nature in models and strengthen modelled linkages across biodiversity, nature’s contributions to people, and quality of life.

著者:
Kim
HyeJin
D. Peterson
Garry
W.L. Cheung
William
Ferrier
Simon
Alkemade
Rob
Arneth
Almut
J. Kuiper
Jan
Okayasu
Sana
Pereira
Laura
A. Acosta
Lilibeth
Chaplin-Kramer
Rebecca
den Belder
Eefje
D. Eddy
Tyler
A Johnson
Justin
Karlsson-Vinkhuyzen
Sylvia
T.J. Kok
Marcel
Leadley
Paul
Lecl`ere
David
J. Lundquist
Carolyn
Rondinini
Carlo
J. Scholes
Robert
A. Schoolenberg
Machteld
Shin
Yunne-Jai
Stehfest
Elke
Stephenson
Fabrice
Visconti
Piero
van Vuuren
Detlef
C.C. Wabnitz
Colette
Jos´e Alava
Juan
Cuadros-Casanova
Ivon
K. Davies
Kathryn
A. Gasalla
Maria
Halouani
Ghassen
Harfoot
Mike
Hashimoto
Shizuka
Hickler
Thomas
Hirsch
Tim
Kolomytsev
Grigory
W. Miller
Brian
Ohashi
Haruka
Gabriela Palomo
Maria
Popp
Alexander
Paco Remme
Roy
Sumalia
U. Rashid
Willcock
Simon
M. Pereira
Henrique
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