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. 2024 Feb 12;11(1):191.
doi: 10.1038/s41597-023-02832-6.

The bii4africa dataset of faunal and floral population intactness estimates across Africa's major land uses

Hayley S Clements  1   2 Emmanuel Do Linh San  3 Gareth Hempson  4   5 Birthe Linden  6 Bryan Maritz  7 Ara Monadjem  8   9 Chevonne Reynolds  10 Frances Siebert  11 Nicola Stevens  12 Reinette Biggs  13   14 Alta De Vos  13   15 Ryan Blanchard  13   16 Matthew Child  17 Karen J Esler  18 Maike Hamann  13   19 Ty Loft  20 Belinda Reyers  21 Odirilwe Selomane  13   22 Andrew L Skowno  17   23 Tshegofatso Tshoke  13   18 Diarrassouba Abdoulaye  24 Thierry Aebischer  25 Jesús Aguirre-Gutiérrez  26 Graham J Alexander  10 Abdullahi H Ali  27 David G Allan  28 Esther E Amoako  29 Samuel Angedakin  30 Edward Aruna  31 Nico L Avenant  32   33 Gabriel Badjedjea  34 Adama Bakayoko  35 Abraham Bamba-Kaya  36 Michael F Bates  37   38 Paul J J Bates  39 Steven R Belmain  40 Emily Bennitt  41 James Bradley  42 Chris A Brewster  43 Michael B Brown  44 Michelle Brown  45 Josef Bryja  46 Thomas M Butynski  47 Filipe Carvalho  3   48 Alan Channing  11 Colin A Chapman  49 Callan Cohen  50 Marina Cords  51 Jennifer D Cramer  52 Nadine Cronk  10 Pamela M K Cunneyworth  53 Fredrik Dalerum  9   54   55 Emmanuel Danquah  56 Harriet T Davies-Mostert  9   57 Andrew D de Blocq  58 Yvonne A De Jong  47 Terrence C Demos  59 Christiane Denys  60 Chabi A M S Djagoun  61 Thomas M Doherty-Bone  62 Marine Drouilly  63   64   65 Johan T du Toit  66   67 David A Ehlers Smith  68 Yvette C Ehlers Smith  68   69 Seth J Eiseb  70 Peter J Fashing  71 Adam W Ferguson  72 José M Fernández-García  73 Manfred Finckh  74 Claude Fischer  75 Edson Gandiwa  76 Philippe Gaubert  77 Jerome Y Gaugris  78 Dalton J Gibbs  79 Jason S Gilchrist  80 Jose M Gil-Sánchez  81 Anthony N Githitho  82 Peter S Goodman  83 Laurent Granjon  84 J Paul Grobler  85 Bonginkosi C Gumbi  86 Vaclav Gvozdik  46   87 James Harvey  88 Morgan Hauptfleisch  89 Firas Hayder  3 Emmanuel M Hema  90 Marna Herbst  91 Mariano Houngbédji  92 Brian J Huntley  93 Rainer Hutterer  94 Samuel T Ivande  95 Kate Jackson  96 Gregory F M Jongsma  97 Javier Juste  98 Blaise Kadjo  99 Prince K Kaleme  100 Edwin Kamugisha  101 Beth A Kaplin  102 Humphrey N Kato  103 Christian Kiffner  104   105 Duncan M Kimuyu  106 Robert M Kityo  107 N'goran G Kouamé  108 Marcel Kouete T  109 Aliza le Roux  110 Alan T K Lee  111 Mervyn C Lötter  10 Anne Mette Lykke  112 Duncan N MacFadyen  113 Gacheru P Macharia  114 Zimkitha J K Madikiza  10 Themb'alilahlwa A M Mahlaba  8 David Mallon  115 Mnqobi L Mamba  8 Claude Mande  116 Rob A Marchant  117 Robin A Maritz  7   118 Wanda Markotter  119 Trevor McIntyre  120 John Measey  121   122   123 Addisu Mekonnen  124 Paulina Meller  74 Haemish I Melville  125 Kevin Z Mganga  126 Michael G L Mills  127 Liaan Minnie  127   128 Alain Didier Missoup  129 Abubakr Mohammad  130 Nancy N Moinde  131 Bakwo Fils E Moise  132 Pedro Monterroso  133   134   135 Jennifer F Moore  136 Simon Musila  137 Sedjro Gilles A Nago  138 Maganizo W Namoto  139 Fatimata Niang  140 Violaine Nicolas  60 Jerry B Nkenku  141 Evans E Nkrumah  56 Gonwouo L Nono  142 Mulavwa M Norbert  143 Katarzyna Nowak  144 Benneth C Obitte  145   146 Arnold D Okoni-Williams  147 Jonathan Onongo  148 M Justin O'Riain  149 Samuel T Osinubi  144 Daniel M Parker  127 Francesca Parrini  10 Mike J S Peel  10   150   151 Johannes Penner  152   153 Darren W Pietersen  9 Andrew J Plumptre  154 Damian W Ponsonby  10 Stefan Porembski  155 R John Power  156 Frans G T Radloff  157 Ramugondo V Rambau  158 Tharmalingam Ramesh  159 Leigh R Richards  160 Mark-Oliver Rödel  161 Dominic P Rollinson  50 Francesco Rovero  162 Mostafa A Saleh  163 Ute SchmiedelM Corrie Schoeman  164 Paul Scholte  165 Thomas L Serfass  166 Julie Teresa Shapiro  167 Sidney Shema  168 Stefan J Siebert  11 Jasper A Slingsby  16   169 Alexander Sliwa  170 Hanneline A Smit-Robinson  171   172 Etotepe A Sogbohossou  173 Michael J Somers  174 Stephen Spawls  175 Jarryd P Streicher  68 Lourens Swanepoel  176 Iroro Tanshi  145   177 Peter J Taylor  110 William A Taylor  178 Mariska Te Beest  128   179 Paul T Telfer  180 Dave I Thompson  10   181 Elie Tobi  182 Krystal A Tolley  17 Andrew A Turner  183   184 Wayne Twine  10 Victor Van Cakenberghe  185   186 Frederik Van de Perre  187 Helga van der Merwe  23   188 Chris J G van Niekerk  189 Pieter C V van Wyk  190 Jan A Venter  191 Luke Verburgt  67 Geraldine Veron  192 Susanne Vetter  193 Maria S Vorontsova  194 Thomas C Wagner  195 Paul W Webala  196 Natalie Weber  197   198 Sina M Weier  199 Paula A White  200 Melissa A Whitecross  10   201 Benjamin J Wigley  202   203   204 Frank J Willems  205 Christiaan W Winterbach  206 Galena M Woodhouse  207
Affiliations

The bii4africa dataset of faunal and floral population intactness estimates across Africa's major land uses

Hayley S Clements et al. Sci Data. .

Abstract

Sub-Saharan Africa is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species' population abundances. Drawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-Delphi process to estimate 'intactness scores': the remaining proportion of an 'intact' reference population of a species group in a particular land use, on a scale from 0 (no remaining individuals) to 1 (same abundance as the reference) and, in rare cases, to 2 (populations that thrive in human-modified landscapes). The resulting bii4africa dataset contains intactness scores representing terrestrial vertebrates (tetrapods: ±5,400 amphibians, reptiles, birds, mammals) and vascular plants (±45,000 forbs, graminoids, trees, shrubs) in sub-Saharan Africa across the region's major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). This dataset was co-produced as part of the Biodiversity Intactness Index for Africa Project. Additional uses include assessing ecosystem condition; rectifying geographic/taxonomic biases in global biodiversity indicators and maps; and informing the Red List of Ecosystems.

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Conflict of interest statement

All authors declare that they have no competing interests as defined by Nature Research, or other interests that might be perceived to influence the results and/or discussion reported in this paper.

Figures

Fig. 1
Fig. 1
Overview of the structured expert elicitation process, based on the IDEA protocol (Investigate, Discuss, Estimate, Aggregate). This process was run for each broad taxonomic group (Table 1), between November 2020 and January 2022, to elicit from 200 experts the estimated impact of nine major African land uses (Table 2) on the relative population abundances of terrestrial vertebrates and vascular plants.
Fig. 2
Fig. 2
Attributes of the 200 participating experts. All values in white font (and black font on the cord plot) represent the number of experts. Numbers do not add up to 200 when categories are not mutually exclusive (region, taxonomic group, employment sector) or when experts did not report a certain attribute (unk = unknown; Mamm = Mammals; org. = organisation).
Fig. 3
Fig. 3
Intactness scores depicting the remaining proportions of ‘intact’ reference populations of terrestrial vertebrates (tetrapods) in different land uses, where 0 indicates that no individuals remain and 1 indicates the same number of individuals as in an ‘intact’ reference population. Average scores across experts (±95% confidence intervals; CI) are shown. The left panel (a) depicts an aggregated score for each taxonomic group and land use – an average across species response groups, weighted by species richness (i.e., response groups representing a higher number of species in a taxonomic group count more towards its aggregated score). The right panels show examples of the scores for species response groups in two taxonomic groups in different land uses: (b) reptiles in non-intensive, smallholder croplands and (c) bats in intensive rangelands.
Fig. 4
Fig. 4
Intactness scores depicting the remaining proportions of ‘intact’ reference populations of terrestrial vascular plants in different land uses, where 0 indicates that no individuals remain and 1 indicates the same number of individuals as in an ‘intact’ reference population. Average scores across experts (±95% confidence intervals; CI) are shown. The left panel (a) depicts an aggregated score for plants in each land use in each biome – an average across species response groups, weighted by species richness (i.e., response groups representing a higher number of species in a biome count more towards its aggregated score). The right panel (b) shows an example: the scores for plant species response groups in intensive rangelands in the mixed-acacia savanna biome. (Thicket and fynbos biomes are not shown because of low sample sizes: <3 expert scores across all land uses; USO = underground storage organ).
Fig. 5
Fig. 5
Change in the variation (standard error) of estimated intactness scores for each species response group and land use, between the first and second round of the expert elicitation process. Boxplots show median (horizontal line in the box), interquartile range (box), and max/min values within 1.5 times the interquartile range (vertical lines). Values less than 0 (below the red-dashed horizontal line) show a decrease in score variability between experts. For terrestrial vertebrates, results are shown per taxonomic group; for terrestrial vascular plants they are shown per biome. (C-m = Caesalpinioid-miombo; Mamm = Mammals).

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