Ecosystem accounting and machine learning to assess the impacts of payments for ecosystem services Ilan Havinga MSc Thesis in Climate Studies May 2018 Supervised by: Prof. Dr. Lars Hein Course code: ESA-80436 Environmental Systems Analysis Ecosystem accounting and machine learning to assess the impacts of payments for ecosystem services Ilan Havinga MSc Thesis in Climate Studies No part of this thesis may be reproduced without contacting the Environmental Systems Analysis Group Supervisors: Examiners: Prof. Dr. Lars Hein 1st: Prof. Dr. Lars Hein Environmental Systems Analysis Group Wageningen University 2nd: Prof. Dr. Rik Leemans Email:
[email protected] Dr. Mauricio Vega-Araya Laboratorio de Teledetección de Ecosistemas Universidad Nacional, Costa Rica Email:
[email protected] i Acknowledgements There are many people who have helped me in writing this thesis and I would have struggled to complete this research without their help. Here I only mention a few of them. You have to run the marathon, not the sprint and you gotta have the right coaches, the best pair of sneakers and your loved ones cheering you on. I would like to first thank my supervisors Lars Hein and Mauricio Vega-Araya. Lars for the many insightful discussions in our meetings which sparked a new understanding of the subject matter each time and kept me aware of the broader context. Mauricio for introducing me to the joys of using R for spatial data, opening my eyes to the power of machine learning and continuing to feed my research with fresh batches of data. I’d also like to thank Luis Rivera for his comments at the beginning of this research.