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

Hayley S ClementsEmmanuel Do Linh SanGareth HempsonBirthe LindenBryan MaritzAra MonadjemChevonne ReynoldsFrances SiebertNicola StevensReinette Oonsie BiggsAlta De VosRyan BlanchardMatthew F ChildKaren J EslerMaike HamannTy LoftBelinda ReyersOdirilwe SelomaneAndrew L SkownoTshegofatso TshokeDiarrassouba AbdoulayeThierry AebischerJesús Aguirre-GutiérrezGraham J AlexanderAbdullahi H AliDavid G AllanEsther Ekua AmoakoSamuel AngedakinEdward ArunaNico L AvenantGabriel BadjedjeaAdama BakayokoAbraham Bamba-KayaMichael F BatesPaul J J BatesSteven R BelmainEmily BennittJames BradleyChris A BrewsterMichael B BrownMichelle BrownJosef BryjaThomas M ButynskiFilipe CarvalhoAlan ChanningColin A ChapmanCallan CohenMarina CordsJennifer D CramerNadine Elizabeth CronkPamela M K CunneyworthFredrik DalerumEmmanuel DanquahHarriet T Davies-MostertAndrew D de BlocqYvonne A de JongTerrence C DemosChristiane DenysChabi A M S DjagounThomas M Doherty-BoneMarine DrouillyJohan T du ToitDavid A Ehlers SmithYvette C Ehlers SmithSeth J EisebPeter J FashingAdam W FergusonJosé M Fernández-GarcíaManfred FinckhClaude FischerEdson GandiwaPhilippe GaubertJerome Y GaugrisDalton J GibbsJason S GilchristJose María Gil-SánchezAnthony N GithithoPeter S GoodmanLaurent GranjonJ Paul GroblerBonginkosi C GumbiVaclav GvozdikJames HarveyMorgan HauptfleischFiras HayderEmmanuel M HemaMarna HerbstMariano HoungbédjiBrian J HuntleyRainer HuttererSamuel T IvandeKate JacksonGregory F M JongsmaJavier JusteBlaise KadjoPrince K KalemeEdwin KamugishaBeth K KaplinHumphrey N KatoChristian KiffnerDuncan M KimuyuRobert M KityoN'goran G KouaméMarcel Kouete TAliza le RouxAlan T K LeeMervyn C LötterAnne Mette LykkeDuncan N MacFadyenGacheru P MachariaZimkitha J K MadikizaThemb'alilahlwa A M MahlabaDavid MallonMnqobi L MambaClaude MandeRob A MarchantRobin A MaritzWanda MarkotterTrevor McIntyreG John MeaseyAddisu MekonnenPaulina MellerHaemish I A S MelvilleKevin Z MgangaMichael G L MillsLiaan MinnieAlain Didier MissoupAbubakr MohammadNancy N MoindeBakwo Fils E MoisePedro MonterrosoJennifer F MooreSimon MusilaSedjro Gilles A NagoMaganizo W NamotoFatimata NiangViolaine NicolasJerry B NkenkuEvans Ewald NkrumahGonwouo L NonoMulavwa M NorbertKatarzyna NowakBenneth C ObitteArnold D Okoni-WilliamsJonathan OnongoMannus Justin O'RiainSamuel T OsinubiDaniel M ParkerFrancesca ParriniMike J S PeelJohannes PennerDarren W PietersenAndrew J PlumptreDamian W PonsonbyStefan PorembskiR John PowerFrans G T RadloffRamugondo V RambauTharmalingam RameshLeigh R RichardsMark-Oliver RödelDominic P RollinsonFrancesco RoveroMostafa A SalehUte SchmiedelM Corrie SchoemanPaul ScholteThomas L SerfassJulie Teresa ShapiroSidney ShemaStefan J SiebertJasper A SlingsbyAlexander SliwaHanneline A Smit-RobinsonEtotepe A SogbohossouMichael J SomersStephen SpawlsJarryd P StreicherLourens SwanepoelIroro TanshiPeter J TaylorWilliam A TaylorMariska Te BeestPaul T TelferDave I ThompsonElie TobiKrystal A TolleyAndrew A TurnerWayne TwineVictor Van CakenbergheFrederik Van de PerreHelga van der MerweChris J G van NiekerkPieter C V van WykJan A VenterLuke VerburgtGeraldine VeronSusanne VetterMaria S VorontsovaThomas C WagnerPaul W WebalaNatalie WeberSina M WeierPaula A WhiteMelissa A WhitecrossBenjamin J WigleyFrank J WillemsChristiaan W WinterbachGalena M Woodhouse
Published in: Scientific data (2024)
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.
Keyphrases
  • climate change
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  • machine learning
  • quality improvement
  • risk assessment
  • big data
  • deep learning
  • human health
  • clinical practice
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