Cited by 466Remote Sensing and LiDAR ApplicationsRemote Sensing in AgricultureRemote-Sensing Image Classification

An unexpectedly large count of trees in the West African Sahara and Sahel

Open access
Brandt, Martin, Tucker, Compton J., Kariryaa, Ankit, Rasmussen, Kjeld, Abel, Christin, Small, Jennifer, Chave, Jerome, Rasmussen, Laura Vang +16 more·2020·Nature

Abstract

A large proportion of dryland trees and shrubs (hereafter referred to collectively as trees) grow in isolation, without canopy closure. These non-forest trees have a crucial role in biodiversity, and provide ecosystem services such as carbon storage, food resources and shelter for humans and animals 1,2 . However, most public interest relating to trees is devoted to forests, and trees outside of forests are not well-documented 3 . Here we map the crown size of each tree more than 3 m 2 in size over a land area that spans 1.3 million km 2 in the West African Sahara, Sahel and sub-humid zone, using submetre-resolution satellite imagery and deep learning 4 . We detected over 1.8 billion individual trees (13.4 trees per hectare), with a median crown size of 12 m 2 , along a rainfall gradient from 0 to 1,000 mm per year. The canopy cover increases from 0.1% (0.7 trees per hectare) in hyper-arid areas, through 1.6% (9.9 trees per hectare) in arid and 5.6% (30.1 trees per hectare) in semi-arid zones, to 13.3% (47 trees per hectare) in sub-humid areas. Although the overall canopy cover is low, the relatively high density of isolated trees challenges prevailing narratives about dryland desertification 5-7 , and even the desert shows a surprisingly high tree density. Our assessment suggests a way to monitor trees outside of forests globally, and to explore their role in mitigating degradation, climate change and poverty.

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Crossref · 10.1038/s41586-020-2824-5

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  • Isolated trees in tropical savannahs support biodiversity and provide food and shelter to humans.

    “Likewise, isolated trees in tropical savannahs support biodiversity in these ecosystems, as well as providing food and shelter to humans (25).”

    From Restoring Degraded Lands (2021) · cites this paper as [25]

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Authors
Brandt, M., Tucker, C. J., Kariryaa, A., Rasmussen, K., Abel, C., Small, J., Chave, J., Rasmussen, L. V., Hiernaux, P., Diouf, A. A., Kergoat, L., Mertz, O., Igel, C., Gieseke, F., Schöning, J., Li, S., Melocik, K., Meyer, J., Sinno, S., Romero, E., Glennie, E., Montagu, A., Dendoncker, M., & Fensholt, R.
Affiliations
  • University of Copenhagen (DK)
  • Goddard Space Flight Center (US)
  • Centre de Suivi Ecologique (SN)
  • Centre National de la Recherche Scientifique (FR)
  • University of Bremen (DE)
  • École Normale Supérieure - PSL (FR)
  • UCLouvain (BE)
Corresponding author
  • Brandt, Martin
  • Tucker, Compton J.
Venue
Nature
Published
2020-10-14
Volume
587
Issue
7832
Pages
78-82
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W3092811956
Cited by
466
References
3
Citations by year
2026: 54 · 2025: 90 · 2024: 82 · 2023: 86 · 2022: 92 · 2021: 57 · 2020: 5
FWCI
21.53
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Digital Access to Libraries (submittedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
Funders
  • Villum Fonden (00034306)
  • Agence Nationale de la Recherche (ANR-10-LABX-0041)
Topics
  • Physical Sciences › Environmental Science › Environmental Engineering › Remote Sensing and LiDAR Applications
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
  • Physical Sciences › Engineering › Media Technology › Remote-Sensing Image Classification
Keywords
isolated trees, tree density, canopy cover, crown size, desertification, arid regions, Sahel, Sahara, subhumid zone, precipitation gradient, tree mapping, deep learning, satellite imagery, ecosystem services
MeSH terms
Deep Learning, Africa, Western, Desert Climate, Rain, Trees, Ecosystem, Body Size, Climate Change, Geographic Mapping

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