GlobalUsefulNativeTrees, a database of 14,014 tree species and their uses, supports synergies between biodiversity recovery and local livelihoods in landscape restoration

Publikation: Working paperPreprintForskning

Standard

GlobalUsefulNativeTrees, a database of 14,014 tree species and their uses, supports synergies between biodiversity recovery and local livelihoods in landscape restoration. / Kindt, Roeland; Graudal, Lars; Lilleso, Jens-Peter; Pedercini, Fabio; Smith, Paul ; Jamnadass, Ramni.

bioRxiv, 2022.

Publikation: Working paperPreprintForskning

Harvard

Kindt, R, Graudal, L, Lilleso, J-P, Pedercini, F, Smith, P & Jamnadass, R 2022 'GlobalUsefulNativeTrees, a database of 14,014 tree species and their uses, supports synergies between biodiversity recovery and local livelihoods in landscape restoration' bioRxiv. https://doi.org/10.1101/2022.11.25.517923

APA

Kindt, R., Graudal, L., Lilleso, J-P., Pedercini, F., Smith, P., & Jamnadass, R. (2022). GlobalUsefulNativeTrees, a database of 14,014 tree species and their uses, supports synergies between biodiversity recovery and local livelihoods in landscape restoration. bioRxiv. https://doi.org/10.1101/2022.11.25.517923

Vancouver

Kindt R, Graudal L, Lilleso J-P, Pedercini F, Smith P, Jamnadass R. GlobalUsefulNativeTrees, a database of 14,014 tree species and their uses, supports synergies between biodiversity recovery and local livelihoods in landscape restoration. bioRxiv. 2022. https://doi.org/10.1101/2022.11.25.517923

Author

Kindt, Roeland ; Graudal, Lars ; Lilleso, Jens-Peter ; Pedercini, Fabio ; Smith, Paul ; Jamnadass, Ramni. / GlobalUsefulNativeTrees, a database of 14,014 tree species and their uses, supports synergies between biodiversity recovery and local livelihoods in landscape restoration. bioRxiv, 2022.

Bibtex

@techreport{4a2adb49d2704a44a92f8b54d53a9030,
title = "GlobalUsefulNativeTrees, a database of 14,014 tree species and their uses, supports synergies between biodiversity recovery and local livelihoods in landscape restoration",
abstract = "Tree planting has the potential to improve the livelihoods of millions of people as well as to support environmental services such as biodiversity preservation. Planting however needs to be executed wisely if benefits are to be achieved. We have developed the GlobalUsefulNativeTrees (GlobUNT) database to directly support the principles advocated by the {\textquoteleft}golden rules for reforestation{\textquoteright}, including planting tree mixtures that maximize the benefits to local livelihoods and the diversity of native trees. Developed primarily by combining data from GlobalTreeSearch with the World Checklist of Useful Plant Species, GlobUNT includes 14,014 tree species that can be filtered for ten major use categories, across 242 countries and territories. In a subcontinental comparison GlobUNT revealed that Malesia had the highest useful tree species richness (3,349) and was also richest for materials (2,723), medicines (1,533), human food (958), fuel (734), environmental uses (632), social uses (614), animal food (443), poisons (322) and invertebrate food (266).",
author = "Roeland Kindt and Lars Graudal and Jens-Peter Lilleso and Fabio Pedercini and Paul Smith and Ramni Jamnadass",
year = "2022",
doi = "10.1101/2022.11.25.517923",
language = "English",
publisher = "bioRxiv",
type = "WorkingPaper",
institution = "bioRxiv",

}

RIS

TY - UNPB

T1 - GlobalUsefulNativeTrees, a database of 14,014 tree species and their uses, supports synergies between biodiversity recovery and local livelihoods in landscape restoration

AU - Kindt, Roeland

AU - Graudal, Lars

AU - Lilleso, Jens-Peter

AU - Pedercini, Fabio

AU - Smith, Paul

AU - Jamnadass, Ramni

PY - 2022

Y1 - 2022

N2 - Tree planting has the potential to improve the livelihoods of millions of people as well as to support environmental services such as biodiversity preservation. Planting however needs to be executed wisely if benefits are to be achieved. We have developed the GlobalUsefulNativeTrees (GlobUNT) database to directly support the principles advocated by the ‘golden rules for reforestation’, including planting tree mixtures that maximize the benefits to local livelihoods and the diversity of native trees. Developed primarily by combining data from GlobalTreeSearch with the World Checklist of Useful Plant Species, GlobUNT includes 14,014 tree species that can be filtered for ten major use categories, across 242 countries and territories. In a subcontinental comparison GlobUNT revealed that Malesia had the highest useful tree species richness (3,349) and was also richest for materials (2,723), medicines (1,533), human food (958), fuel (734), environmental uses (632), social uses (614), animal food (443), poisons (322) and invertebrate food (266).

AB - Tree planting has the potential to improve the livelihoods of millions of people as well as to support environmental services such as biodiversity preservation. Planting however needs to be executed wisely if benefits are to be achieved. We have developed the GlobalUsefulNativeTrees (GlobUNT) database to directly support the principles advocated by the ‘golden rules for reforestation’, including planting tree mixtures that maximize the benefits to local livelihoods and the diversity of native trees. Developed primarily by combining data from GlobalTreeSearch with the World Checklist of Useful Plant Species, GlobUNT includes 14,014 tree species that can be filtered for ten major use categories, across 242 countries and territories. In a subcontinental comparison GlobUNT revealed that Malesia had the highest useful tree species richness (3,349) and was also richest for materials (2,723), medicines (1,533), human food (958), fuel (734), environmental uses (632), social uses (614), animal food (443), poisons (322) and invertebrate food (266).

U2 - 10.1101/2022.11.25.517923

DO - 10.1101/2022.11.25.517923

M3 - Preprint

BT - GlobalUsefulNativeTrees, a database of 14,014 tree species and their uses, supports synergies between biodiversity recovery and local livelihoods in landscape restoration

PB - bioRxiv

ER -

ID: 338536181