New 1 km Resolution Datasets of Global and Regional Risks of Tree Cover Loss

Jennifer Hewson, Stefano C. Crema, Mariano González-Roglich, Karyn Tabor and Celia A. Harvey
Additional contact information
Jennifer Hewson: Betty and Gordon Moore Center for Science, Conservation International, 2011 Crystal Drive Suite 600, Arlington, VA 22202, USA
Stefano C. Crema: Clark Labs, Clark University, Worcester, MA 01610, USA
Mariano González-Roglich: Betty and Gordon Moore Center for Science, Conservation International, 2011 Crystal Drive Suite 600, Arlington, VA 22202, USA
Karyn Tabor: Betty and Gordon Moore Center for Science, Conservation International, 2011 Crystal Drive Suite 600, Arlington, VA 22202, USA
Celia A. Harvey: Betty and Gordon Moore Center for Science, Conservation International, 2011 Crystal Drive Suite 600, Arlington, VA 22202, USA

Land, 2019, vol. 8, issue 1, 1-14

Abstract: Despite global recognition of the social, economic and ecological impacts of deforestation, the world is losing forests at an alarming rate. Global and regional efforts by policymakers and donors to reduce deforestation need science-driven information on where forest loss is happening, and where it may happen in the future. We used spatially-explicit globally-consistent variables and global historical tree cover and loss to analyze how global- and regional-scale variables contributed to historical tree cover loss and to model future risks of tree cover loss, based on a business-as-usual scenario. Our results show that (1) some biomes have higher risk of tree cover loss than others; (2) variables related to tree cover loss at the global scale differ from those at the regional scale; and (3) variables related to tree cover loss vary by continent. By mapping both tree cover loss risk and potential future tree cover loss, we aim to provide decision makers and donors with multiple outputs to improve targeting of forest conservation investments. By making the outputs readily accessible, we anticipate they will be used in other modeling analyses, conservation planning exercises, and prioritization activities aimed at conserving forests to meet national and global climate mitigation targets and biodiversity goals.

Keywords: land change modeling; tree cover loss; REDD+; Sustainable Development Goals; tree cover loss projections (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2073-445X/8/1/14/pdf (application/pdf)
https://www.mdpi.com/2073-445X/8/1/14/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:8:y:2019:i:1:p:14-:d:196526

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().