@article{fdi:010082617,
  title = {{A}n efficient method for defining plant species under {H}igh {C}onservation {V}alue ({HCV}) criterion 1 based on the {IUCN} {R}ed {L}ist criteria : a case study using species endemic to {G}abon},
  author = {{T}exier, {N}. and {D}auby, {G}illes and {B}idault, {E}. and {I}i, {P}. {L}. {P}. and {I}kabanga, {D}. {U}. and {S}tevart, {T}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {H}igh {C}onservation {V}alue ({HCV}) concept, developed by the {F}orest {S}tewardship {C}ouncil to promote sustainable forest management, is widely employed for certification of forestry and agriculture concessions, and has been adopted by many logging and palm oil companies. {HCV} criterion 1, which deals with "endemic, and rare, threatened or endangered species", is rarely used in certification, mainly because lists of these species are incomplete, especially for plants, and performing threat assessments is time-consuming. {T}he {IUCN} {R}ed {L}ist {C}ategories are often suggested as a suitable basis to define threatened taxa for the application of {HCV}1, but this requires the rapid and efficient assessment of large numbers of species. {U}sing the plants endemic to {G}abon as a case study, we propose a rapid, two-step procedure to identify {HCV}1 species. {F}irst, based on 3,298 verified and geo-referenced herbarium records, we used {GIS} layers and an automated computational workflow in the {R} environment to identify potentially threatened species using an approach aligned with {IUCN} {R}ed {L}ist criteria {A}, {B}, and {D}. {N}inety percent of the automated assessments correctly indicated the risk of extinction; errors involved incorrect assessments of species whose habitat is in reality not threatened, or occurred during the calculation of the number of locations (sensu {IUCN}) when a single threat impacts large areas. {I}n a second step designed to correct these issues and comply with the {R}ed {L}ist guidelines, we performed species-by-species verification of the automated assessments, taking into account the ecology and habitat of each species and the nature of the threats it faces. {O}f the 389 endemic taxa analyzed, 86 % were identified as threatened (83 {CR}, 171 {EN}, and 80 {VU}); of these, only 35 % are recorded from at least one {N}ational {P}ark, but most are found in logging/oil palm (72 %) or mining (55 %) concessions, underscoring the need to improve the application of the {HCV} concept. {T}o strengthen the use of {HVC} subcriterion 1.2 (rare, threatened or endangered species), we propose an explicit method for identifying rare species based on a quantitative threshold of the {E}xtent of {O}ccurrence (20,000 km2), and we examine the concept of endemicity with respect to the application of {HVC} subcriterion 1.3 (endemic species). {T}he proposed methodology addresses an urgent need to develop a national interpretation of the {HCV} concept in {G}abon, adopted as a national standard for logging concessions, and offers an efficient, reliable approach for the application of {HVC}1 elsewhere in {C}entral {A}frica.},
  keywords = {{C}onservation assessment ; {E}ndemism ; {F}orest stewardship council ; {HCV} ; interpretation ; {R}are species ; {T}hreatened species ; {GABON}},
  booktitle = {},
  journal = {{J}ournal for {N}ature {C}onservation},
  volume = {62},
  numero = {},
  pages = {126027 [24 p.]},
  ISSN = {1617-1381},
  year = {2021},
  DOI = {10.1016/j.jnc.2021.126027},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082617},
}