Baseline and Future Habitat Suitability Maps for Tree Species Prioritized for Food Tree Portfolios for Zambia

This archive includes habitat suitability maps for six native food tree species (Anisophyllea boehmii Engl., Parinari curatellifolia Planch. ex Benth., Strychnos cocculoides Baker, Tamarindus indica L., Thespesia garckeana F.Hoffm. [syn. Azanza garckeana (F.Hoffm.) Exell & Hillc.] and Uapaca kirkiana|Müll.Arg.|) and four exotic food tree species (Carica papaya L., Mangifera indica L., Persea americana Mill. and Psidium guajava L.). These species had been prioritized by the project. Species suitability modelling followed the BIOCLIM algorithm whereby a climate suitability score is calculated that reflects the core distribution (5% - 95%) and the marginal distribution (0% - 5% or 95% or 100%) of a species in environmental space. The BIOCLIM algorithm was expanded to reflect the middle of the environmental range (25% - 75%). Species suitability was inferred through bioclimatic ranges documented in the Tree Globally Observed Environmental Ranges database (TreeGOER; Kindt 2023). Baseline suitability maps used the historical climate documented by WorldClim 2.1 (Fick & Hijmans 2017). Future suitability maps correspond to a low emissions scenario (Shared Socio-Economic Pathway [SSP] 1-2.6) and a high emissions scenario (SSP 3-7.0), both calculated as medians from Global Climate Models (GCM) projections for the 2050s (2041-2060) available from WorldClim 2.1 (respectively from 23 and 18 GCMs). For larger sets of tree species native to Zambia, it has recently become possible to filter tree species by bioclimatic conditions of the planting site with the GlobalUsefulNativeTrees database (GlobUNT; Kindt et al. 2023). The GlobUNT database internally uses TreeGOER environmental ranges and the same BIOCLIM algorithm that was used the generate the habitat suitability maps. Included in this archive is a list of native tree species to Zambia that were filtered for the use category of human food. When using these maps, cite the following: · Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302–4315. https://doi.org/10.1002/joc.5086 · Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. Global Change Biology, 29, 6303–6318. https://doi.org/10.1111/gcb.16914 Information in this archive were generated for the project of Piloting incentive-based agricultural portfolios for nutrition and resilience in Zambia. For more information about this project, check the website: Piloting incentive-based agricultural portfolios for nutrition and resilience in Zambia | World Agroforestry | Transforming Lives and Landscapes with Trees

本数据集归档文件包含6种本土食用乔木的生境适宜性分布图，分别为安尼菲拉木（Anisophyllea boehmii Engl.）、帕里纳里果木（Parinari curatellifolia Planch. ex Benth.）、闭鞘马钱子（Strychnos cocculoides Baker）、罗望子（Tamarindus indica L.）、加克氏楔基槿（Thespesia garckeana F.Hoffm. [异名：Azanza garckeana (F.Hoffm.) Exell & Hillc.]）以及柯克氏乌桕（Uapaca kirkiana Müll.Arg.）；另有4种外来食用乔木：番木瓜（Carica papaya L.）、杧果（Mangifera indica L.）、鳄梨（Persea americana Mill.）和番石榴（Psidium guajava L.）。上述物种均为该项目优先筛选的研究对象。
物种适宜性建模采用生物气候算法 (BIOCLIM)，该算法可计算气候适宜性得分，以反映物种在环境空间中的核心分布区（5%~95%分位）与边缘分布区（0%~5%、95%~100%分位）。本研究对生物气候算法进行扩展，以体现环境区间的中段范围（25%~75%分位）。物种适宜性通过《全球树木观测环境范围数据库》（Tree Globally Observed Environmental Ranges database, 简称TreeGOER; Kindt 2023）中记载的生物气候范围进行推断。
基线适宜性分布图采用WorldClim 2.1（Fick & Hijmans 2017）提供的历史气候数据生成。未来适宜性分布图对应两种排放情景：低排放情景（共享社会经济路径 (Shared Socio-Economic Pathway, 简称SSP) 1-2.6）与高排放情景（SSP 3-7.0），两者均基于WorldClim 2.1提供的2050年代（2041-2060年）全球气候模型 (Global Climate Models, 简称GCM) 投影的中位数结果生成，分别使用了23个和18个GCM的数据集。
针对赞比亚本土的大型乔木树种集合，近期可通过《全球有用本土树木数据库》（GlobalUsefulNativeTrees database, 简称GlobUNT; Kindt et al. 2023）根据种植地的生物气候条件筛选物种。该数据库内部采用了与本次生境适宜性分布图生成时一致的TreeGOER环境范围参数与生物气候算法。本归档文件中还包含一份经筛选的赞比亚本土食用乔木物种列表，筛选依据为人类食用用途类别。
使用本数据集时，请引用以下文献：
1. Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. *International Journal of Climatology*, 37(12), 4302–4315. https://doi.org/10.1002/joc.5086
2. Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. *Global Change Biology*, 29, 6303–6318. https://doi.org/10.1111/gcb.16914
本归档文件中的数据均为「赞比亚激励型农业组合试点项目（兼顾营养与韧性）」生成。如需了解该项目的更多信息，请访问官网：Piloting incentive-based agricultural portfolios for nutrition and resilience in Zambia | World Agroforestry | Transforming Lives and Landscapes with Trees