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Simone Quatrini

Simone Quatrini
ETH Zurich | ETH Zürich · Department of Environmental Systems Science

Dr. Sc. (PhD) MA MBA

About

15
Publications
6,853
Reads
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137
Citations
Citations since 2016
12 Research Items
133 Citations
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2016201720182019202020212022051015202530
2016201720182019202020212022051015202530
Education
September 2012 - December 2018
ETH Zurich
Field of study
  • Environmental Systems Sciences

Publications

Publications (15)
Preprint
Full-text available
Permanent grassland (PG) is an important agricultural land use for the delivery of multiple ecosystem services (ES), including carbon sequestration, water quality protection, food production, habitat provision, and cultural activities. However, PG environments are threatened by sub-optimal management, cultivation, and abandonment that are influence...
Conference Paper
Full-text available
Despite an increasing evidence of the multi-faceted benefits of sustainable natural resource management, soil and land degradation continues to expand. Promoting sustainable soil management and restoration at a scale that is commensurate with the global developmental-environmental challenge is a complex endeavour that requires consistent policies,...
Article
Full-text available
Private-sector investors could be key players in combatting global land degradation and realising the emerging concept of Land Degradation Neutrality (LDN). To better understand how to incentivize private-sector investors for LDN, we conducted an online-survey of 68 private-sector investors. Structural equation modelling based on the theory of plan...
Data
Items for motives for sustainable investing. (DOCX)
Data
Questionnaire (incl. invitation letter for implicit consent). (PDF)
Article
Monetary valuation of dryland ecosystem services may help to increase the salience of drylands in decision making. Yet, there is no comprehensive assessment of the indicators that determine the estimated monetary values for dryland ecosystem services (hereafter: dryland value). Having compiled a database consisting of 559 observations from 66 valua...
Article
Quantifying the demand for multiple ecosystem services is difficult because it is subjective and heterogeneous. Using land degradation as a case study, this paper explores land restoration finance as a proxy for global ecosystem service demand. Land degradation has been high on the UN agenda since the 1992 Rio Summit, together with climate change a...
Article
With global science-policy conventions for biodiversity and ecosystem services in place, much effort goes into monitoring and reporting on the progress toward policy targets. As conservation actions happen locally, can such global monitoring and reporting efforts effectively guide conservation actions at subnational level? In this paper we explore...
Article
Land degradation response actions need motivated stakeholders and investments to improve land management. In this study we present methods to prioritise locations for degradation mitigation investments based on stakeholder preferences for ecosystem services. We combine participatory and spatial modelling approaches and apply these for Zambia, South...
Article
Full-text available
This paper seeks to provide an overview of the relationships between food insecurity, land degradation and desertification, and its antithesis, food security and sustainable land management. It places particular focus on the world’s drylands (i.e. arid, semi-arid and dry sub-humid areas), but situates the review within the wider context of global f...
Article
Full-text available
This paper seeks to provide an overview of the relationships between food insecurity, land degradation and desertification, and its antithesis, food security and sustainable land management. It places particular focus on the world's drylands (i.e. arid, semi-arid and dry sub-humid areas), but situates the review within the wider context of global f...

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Cited By

Projects

Projects (3)
Project
Impact Æssurance is an innovative rating system, developed in 2017-2019 at ETH Zurich in close collaboration with sustainability experts from international and non-governmental organizations, senior executives from the impact investment industry, and natural and social scientists from leading research institutes worldwide. Impact Æssurance is designed to monitor and benchmark the sustainability performance and triple bottom line impact of any activities in terms of economic viability, environmental sustainability and social value. The multi-dimensional Impact Æssurance model integrates hundreds of indicators of performance and impact spanning across the three sustainability dimensions: economy, environment and society. These indicators originate from independent, verified and authoritative sources. Impact Æssurance is the only sustainability rating system capable of measuring the real impact worthiness of any activity in a comprehensive, accurate and reliable way. Thanks to its modularity and scalability, the system can be applied to project-level activities, structured finance products, companies’ balance sheets, investment portfolios, jurisdictions at all spatial levels (i.e. land parcel, landscape, region, country, etc.), in all sectors (e.g. agricultural/extractive activities, industrial/manufacturing operations, services/knowledge activities). The Impact Æssurance system uses artificial intelligence and machine learning techniques to dynamically incorporate relevant information from new data streams and ensure that ratings promptly reflect changes occurring over time. The system harnesses the power of peer-to-peer block-chain technology to register and verify any observed deterioration or improvements in ratings underlying fundamentals. Causal links and correlations are continuously monitored and calibrated against real-world data in order to accurately capture trends, synergies, trade-offs and dependencies. This enables rating analysts to better assess and benchmark rating objects against actual risks and impacts.
Project
Biodiversity is both, a response variable affected by global change drivers and a factor modifying ecosystem processes and services that are essential to human well-being. Improved capability to predict the consequences of changes in drivers will aid improved prediction of the state of the environment. This project embarks on innovative avenues in this research domain by using a latitudinal gradient approach based on interactions, feedback and scale, which will yield more reliable and robust knowledge about global change processes. https://www.gcb.uzh.ch/en.html