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Supporting better forest landscape restoration by making investor funding for tree planting conditional on an adequate explanation of how tree seeds and seedlings will be sourced

Published online by Cambridge University Press:  22 August 2023

Roeland Kindt
Affiliation:
World Agroforestry, CIFOR-ICRAF, Nairobi, Kenya
Sammy Carsan
Affiliation:
World Agroforestry, CIFOR-ICRAF, Nairobi, Kenya
Lars Graudal
Affiliation:
World Agroforestry, CIFOR-ICRAF, Nairobi, Kenya Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Ramni Jamnadass
Affiliation:
World Agroforestry, CIFOR-ICRAF, Nairobi, Kenya
Jens-Peter B Lillesø
Affiliation:
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Wubalem Tadesse
Affiliation:
Ethiopian Forestry Development (EFD), Yeka Sub City, Addis Ababa, Ethiopia
Joyce Chege
Affiliation:
World Agroforestry, CIFOR-ICRAF, Nairobi, Kenya
Fabio Pedercini
Affiliation:
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Søren Moestrup
Affiliation:
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark World Agroforestry, CIFOR-ICRAF, Ethiopia Office, Addis Ababa, Ethiopia
Ian K Dawson*
Affiliation:
World Agroforestry, CIFOR-ICRAF, Nairobi, Kenya Scotland’s Rural College (SRUC), Edinburgh, Scotland
*
Corresponding author: Ian K Dawson; Email: ian.dawson@sruc.ac.uk
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Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
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© The Author(s), 2023. Published by Cambridge University Press on behalf of Foundation for Environmental Conservation
Figure 0

Figure 1. Results of a survey of the global tree planting community to explore attitudes to integrating mandatory questions on tree seed and seedling sourcing (‘tree seed and seedling’ abbreviated to ‘tree seed’ in this legend and figure) in tree planting project funding application templates. In the survey, each respondent was asked to self-identify as either a ‘funder’, ‘researcher’ or ‘planter’. (a) Country bases of survey respondents. (b) Views of respondents on whether it is good in principle for prospective planters to be required to explain how they will carry out tree seed sourcing when they apply for funds to support tree planting. (c) The most important form of support needed by ‘funders’ to assess funding applicants’ tree seed sourcing approach. (d) The most important information needed for ‘funders’ from prospective planters to assess whether a given tree seed sourcing approach would result in high-quality tree seed. (e) The most useful form of support to prospective tree ‘planters’ to help them develop a high-quality tree seed sourcing approach, considering all survey respondents combined and divided into whether the respondents work in the Global South or the Global North. (f) The perceived greatest potential problem in placing emphasis on high-quality tree seed sourcing in planting project funding application templates. The graphs in (c)–(f) are based on the ranking of five possible response options. Ranking results were converted into rank scores, where the top-ranked option had the highest score. To assess the statistical significance of the difference in ranking between response options for any particular respondent category, rank responses were modelled using the PlackettLuce package (version 0.4.0; https://cran.r-project.org/package=PlackettLuce) in the R statistical environment (version 4.0.2; https://www.R-project.org/). Whether the first-ranked option was ranked significantly higher than each of the four other options was estimated. Hatching indicates that the ranking is significantly different at p < 0.05. Note that in the case of ‘funders’ the statistical power for testing differences is limited by the small sample size of this category of respondent. Also note that in (e) the pool of respondents that could be analysed was a subset of the entire respondent set, because only respondents whose work was based either in the Global South or in the Global North were considered; respondents whose work was carried out in both zones were excluded. For interested readers, a full description of the methods of the survey and its findings are provided in Carsan et al. (2021).

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