@article{fdi:010089658, title = {{T}he bii4africa dataset of faunal and floral population intactness estimates across {A}frica's major land uses}, author = {{C}lements, {H}. {S}. and {S}an, {E}. {D}. and {H}empson, {G}. and {L}inden, {B}. and {M}aritz, {B}. and {M}onadjem, {A}. and {R}eynolds, {C}. and {S}iebert, {F}. and {S}tevens, {N}. and {B}iggs, {R}. and {D}e {V}os, {A}. and {B}lanchard, {R}. and {C}hild, {M}. and {E}sler, {K}. {J}. and {H}amann, {M}. and {L}oft, {T}. and {R}eyers, {B}. and {S}elomane, {O}. and {S}kowno, {A}. {L}. and {T}shoke, {T}. and {A}bdoulaye, {D}. and {A}ebischer, {T}. and {A}guirre-{G}utierrez, {J}. and {A}lexander, {G}. {J}. and {A}li, {A}. {H}. and {A}llan, {D}. {G}. and {A}moako, {E}. {E}. and {A}ngedakin, {S}. and {A}runa, {E}. and {A}venant, {N}. {L}. and {B}adjedjea, {G}. and {B}akayoko, {A}. and {B}amba-kaya, {A}. and {B}ates, {M}. {F}. and {B}ates, {P}. {J}. {J}. and {B}elmain, {S}. {R}. and {B}ennitt, {E}. and {B}radley, {J}. and {B}rewster, {C}. {A}. and {B}rown, {M}. {B}. and {B}rown, {M}. and {B}ryja, {J}. and {B}utynski, {T}. {M}. and {C}arvalho, {F}. and {C}hanning, {A}. and {C}hapman, {C}. {A}. and {C}ohen, {C}. and {C}ords, {M}. and {C}ramer, {J}. {D}. and {C}ronk, {N}. and {C}unneyworth, {P}. {M}. {K}. and {D}alerum, {F}. and {D}anquah, {E}. and {D}avies-{M}ostert, {H}. {T}. and de {B}locq, {A}. {D}. and {D}e {J}ong, {Y}. {A}. and {D}emos, {T}. {C}. and {D}enys, {C}. and {D}jagoun, {C}ams and {D}oherty-{B}one, {T}. {M}. and {D}rouilly, {M}. and du {T}oit, {J}. {T}. and {S}mith, {D}. {A}. {E}. and {S}mith, {Y}. {C}. {E}. and {E}iseb, {S}. {J}. and {F}ashing, {P}. {J}. and {F}erguson, {A}. {W}. and {F}ernandez-{G}arcia, {J}. {M}. and {F}inckh, {M}. and {F}ischer, {C}. and {G}andiwa, {E}. and {G}aubert, {P}hilippe and {G}augris, {J}. {Y}. and {G}ibbs, {D}. {J}. and {G}ilchrist, {J}. {S}. and {G}il-{S}anchez, {J}. {M}. and {G}ithitho, {A}. {N}. and {G}oodman, {P}. {S}. and {G}ranjon, {L}aurent and et al.}, editor = {}, language = {{ENG}}, abstract = {{S}ub-{S}aharan {A}frica is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species' population abundances. {D}rawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-{D}elphi 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). {T}he 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-{S}aharan {A}frica across the region's major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). {T}his dataset was co-produced as part of the {B}iodiversity {I}ntactness {I}ndex for {A}frica {P}roject. {A}dditional uses include assessing ecosystem condition; rectifying geographic/taxonomic biases in global biodiversity indicators and maps; and informing the {R}ed {L}ist of {E}cosystems.}, keywords = {{AFRIQUE} {SUBSAHARIENNE}}, booktitle = {}, journal = {{S}cientific {D}ata}, volume = {11}, numero = {1}, pages = {191 [17 p.]}, year = {2024}, DOI = {10.1038/s41597-023-02832-6}, URL = {https://www.documentation.ird.fr/hor/fdi:010089658}, }