Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana. / Kalischek, Nikolai; Lang, Nico; Renier, Cécile; Daudt, Rodrigo Caye; Addoah, Thomas; Thompson, William; Blaser-Hart, Wilma J.; Garrett, Rachael; Schindler, Konrad; Wegner, Jan D.

In: Nature Food, Vol. 4, No. 5, 2023, p. 384-393.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Kalischek, N, Lang, N, Renier, C, Daudt, RC, Addoah, T, Thompson, W, Blaser-Hart, WJ, Garrett, R, Schindler, K & Wegner, JD 2023, 'Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana', Nature Food, vol. 4, no. 5, pp. 384-393. https://doi.org/10.1038/s43016-023-00751-8

APA

Kalischek, N., Lang, N., Renier, C., Daudt, R. C., Addoah, T., Thompson, W., Blaser-Hart, W. J., Garrett, R., Schindler, K., & Wegner, J. D. (2023). Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana. Nature Food, 4(5), 384-393. https://doi.org/10.1038/s43016-023-00751-8

Vancouver

Kalischek N, Lang N, Renier C, Daudt RC, Addoah T, Thompson W et al. Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana. Nature Food. 2023;4(5):384-393. https://doi.org/10.1038/s43016-023-00751-8

Author

Kalischek, Nikolai ; Lang, Nico ; Renier, Cécile ; Daudt, Rodrigo Caye ; Addoah, Thomas ; Thompson, William ; Blaser-Hart, Wilma J. ; Garrett, Rachael ; Schindler, Konrad ; Wegner, Jan D. / Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana. In: Nature Food. 2023 ; Vol. 4, No. 5. pp. 384-393.

Bibtex

@article{799b12f886b849f0b6851221d73f5157,

title = "Cocoa plantations are associated with deforestation in C{\^o}te d{\textquoteright}Ivoire and Ghana",

abstract = "C{\^o}te d{\textquoteright}Ivoire and Ghana, the world{\textquoteright}s largest producers of cocoa, account for two thirds of the global cocoa production. In both countries, cocoa is the primary perennial crop, providing income to almost two million farmers. Yet precise maps of the area planted with cocoa are missing, hindering accurate quantification of expansion in protected areas, production and yields and limiting information available for improved sustainability governance. Here we combine cocoa plantation data with publicly available satellite imagery in a deep learning framework and create high-resolution maps of cocoa plantations for both countries, validated in situ. Our results suggest that cocoa cultivation is an underlying driver of over 37% of forest loss in protected areas in C{\^o}te d{\textquoteright}Ivoire and over 13% in Ghana, and that official reports substantially underestimate the planted area (up to 40% in Ghana). These maps serve as a crucial building block to advance our understanding of conservation and economic development in cocoa-producing regions.",

author = "Nikolai Kalischek and Nico Lang and C{\'e}cile Renier and Daudt, {Rodrigo Caye} and Thomas Addoah and William Thompson and Blaser-Hart, {Wilma J.} and Rachael Garrett and Konrad Schindler and Wegner, {Jan D.}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s).",

year = "2023",

doi = "10.1038/s43016-023-00751-8",

language = "English",

volume = "4",

pages = "384--393",

journal = "Nature Food",

issn = "2662-1355",

publisher = "SPRINGERNATURE",

number = "5",

}

RIS

TY - JOUR

T1 - Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana

AU - Kalischek, Nikolai

AU - Lang, Nico

AU - Renier, Cécile

AU - Daudt, Rodrigo Caye

AU - Addoah, Thomas

AU - Thompson, William

AU - Blaser-Hart, Wilma J.

AU - Garrett, Rachael

AU - Schindler, Konrad

AU - Wegner, Jan D.

PY - 2023

Y1 - 2023

N2 - Côte d’Ivoire and Ghana, the world’s largest producers of cocoa, account for two thirds of the global cocoa production. In both countries, cocoa is the primary perennial crop, providing income to almost two million farmers. Yet precise maps of the area planted with cocoa are missing, hindering accurate quantification of expansion in protected areas, production and yields and limiting information available for improved sustainability governance. Here we combine cocoa plantation data with publicly available satellite imagery in a deep learning framework and create high-resolution maps of cocoa plantations for both countries, validated in situ. Our results suggest that cocoa cultivation is an underlying driver of over 37% of forest loss in protected areas in Côte d’Ivoire and over 13% in Ghana, and that official reports substantially underestimate the planted area (up to 40% in Ghana). These maps serve as a crucial building block to advance our understanding of conservation and economic development in cocoa-producing regions.

AB - Côte d’Ivoire and Ghana, the world’s largest producers of cocoa, account for two thirds of the global cocoa production. In both countries, cocoa is the primary perennial crop, providing income to almost two million farmers. Yet precise maps of the area planted with cocoa are missing, hindering accurate quantification of expansion in protected areas, production and yields and limiting information available for improved sustainability governance. Here we combine cocoa plantation data with publicly available satellite imagery in a deep learning framework and create high-resolution maps of cocoa plantations for both countries, validated in situ. Our results suggest that cocoa cultivation is an underlying driver of over 37% of forest loss in protected areas in Côte d’Ivoire and over 13% in Ghana, and that official reports substantially underestimate the planted area (up to 40% in Ghana). These maps serve as a crucial building block to advance our understanding of conservation and economic development in cocoa-producing regions.

UR - http://www.scopus.com/inward/record.url?scp=85160212389&partnerID=8YFLogxK

U2 - 10.1038/s43016-023-00751-8

DO - 10.1038/s43016-023-00751-8

M3 - Journal article

C2 - 37225908

AN - SCOPUS:85160212389

VL - 4

SP - 384

EP - 393

JO - Nature Food

JF - Nature Food

SN - 2662-1355

IS - 5

ER -

ID: 351243042

Department of Computer Science