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SIMPLE-G

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SIMPLE-G
Najniższa cena (z dostawą)
91,68 EUR
Typowa cena66,68 PLN
Najniższa (90 dni)66,68 PLN
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Ostatnia aktualizacja1 tydzień temu
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Sprzedawca Cena produktu Dostawa Razem Dostępność Aktualizacja
SP SpringerNatureLink Shop INT 66,68 EUR 25,00 EUR 91,68 EUR Dostępny 5 dni temu Zobacz ofertę
SP Springer Nature Author 66,68 EUR 15,00 EUR 81,68 EUR Dostępny 1 tydzień temu Zobacz ofertę

Ceny i dostępność mogą ulec zmianie. Ostatnia aktualizacja: 08.08.2026 11:48.

EAN 9783031680533
Springer Nature
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This is an open access book. Crafted for both the economist and the curious mind, this book introduces a novel approach to blending economic and biophysical sciences to enable multi-scale analysis of a range of sustainability challenges confronting the world’s land and water resources at both local and global scales. It focuses specifically on the interface between the environment and food systems, utilizing economic theory to structure the overall framework. However, within the SIMPLE-G framework, there is ample room to incorporate fine-scale biophysical knowledge from agronomy, climate science, ecology, geography, hydrology, as well as a range of socioeconomic considerations. This enables multi-scale analyses incorporating grid cells that can vary in size from 250 meters to sub-regional scales. This, in turn, allows for investigation of global change drivers’ impacts on local sustainability, as well as feedbacks from local sustainability policies to regional and global outcomes. The book opens with a foreword by a prominent sustainability scientist, Prof. Navin Ramankutty, and proceeds in five parts covering, respectively: (1) introduction and overview, (2) basic economic theory underpinning SIMPLE-G, (3) the SIMPLE-G framework, including structure, data, parameters, computer implementation, and validation, (4) eight diverse applications of the SIMPLE-G framework, covering a range of geographies and sustainability challenges, and (5) a forward-looking chapter on future directions. The book provides step-by-step guidance on building and utilizing gridded models with real-world case studies demonstrating practical applications which will facilitate its use by academics, practitioners, and students conducting research on climate impacts, land-use, water resource management, food security, poverty, equity, nutritional outcomes, and overall sustainability.

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