Area of Habitat maps for the world’s terrestrial birds and mammals

Lumbierres, María; Dahal, Prabhat Raj; Soria, Carmen D.; Marco, Moreno Di; Butchart, Stuart H. M.; Donald, Paul F.; Rondinini, Carlo

doi:10.1038/s41597-022-01838-w

Cited by 19 publications

(23 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Scarce occurrence points and the BPOW might be the only source of distribution data for some taxa. This is the case for marine crabs, for which there is no expert range maps available for many other groups existing via the Red List of Threatened Species, or other taxon-wide range initiatives (Marsh et al 2022;Lumbierres et al 2022). Improving and inferring species distributions is an important application of biogeographic regionalizations.…”

Section: Discussionmentioning

confidence: 99%

A global biogeographic regionalization of the benthic ocean

Maureaud¹,

Reygondeau²,

Ingenloff³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

A global biogeographic regionalization of the benthic ocean

Maureaud¹,

Reygondeau²,

Ingenloff³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…However, given that AOH maps (also referred to as Extent of Suitable Habitat maps) are based on deductive models, different approaches have been proposed for their estimation (e.g. Beresford et al 2011; Rondinini et al 2011; Ficetola et al 2015; Brooks et al 2019; Huang et al 2021; Palacio et al 2021; Lumbierres et al 2022), which may result in assessments of areas of distribution of varying accuracy. Note that our analysis here is not specifically oriented to evaluating the maps produced by Huang et al (2021), but rather any maps that produce a different area of distribution from those published by the IUCN Red List.…”

Section: Discussionmentioning

confidence: 99%

Relationship between age and method of population estimation and the impact of changes in range-size maps on the IUCN Red List assessments of birds

Wiedenfeld,

Tognelli

2023

Bird Conservation International

View full text Add to dashboard Cite

Summary Population size is one component of several criteria in the International Union for Conservation of Nature (IUCN) Red List of Threatened Species (Red List). For these criteria, the quality of the population estimation can therefore have significant impact on the assessed status. To evaluate population estimate quality, we selected 473 species of land birds from the Americas considered by the Red List to be “Critically Endangered”, “Endangered”, or “Vulnerable” at the end of 2021, of which 414 (88%) had a population size estimate. For these species, we determined the age of the estimate and how the population estimate was derived, grouped into eight categories. For 87 species (18%) the population estimate was derived by sampling a small area and extrapolating to the entire range of the species; for these, the population size estimate depends on the estimate of range size. For the subset of 22 of these with complete data, we compared range size estimates obtained from maps published by IUCN with maps produced using the methods of Huang et al. (2021) to see how range map differences could affect population size estimates and therefore Red List status. Potentially half of these species (11 of 22) could change status using the new maps. More than one-third of the population size estimates (38%, 161 species with a date of population estimate) were made in 2000 or earlier. A majority of the species, 63% (300 of 473 species), do not have population size estimates made using a scientific sampling method, although the majority since 2010 have been made using a sampling method, reflecting an effort by Red List assessors to include more scientific information. We encourage the ornithological community to work to obtain current, high quality population size and range estimates to improve the quality of Red List status assessments.

show abstract

“…Following the approach used by Lumbierres et al. (2022), all the occurrence and spatial polygon data in invaded ranges were subsequently refined according to the known habitats and elevations described in the International Union for Conservation of Nature and Natural Resources (IUCN) and previous studies for each of the WITVs (Jung et al., 2020; Lumbierres et al., 2022; Zimin et al., 2022). The refined distributional data of the WITVs were converted into a gridded spatial layer at a 5 arc‐min resolution (approximately 10 × 10 km) to ensure consistency in calculating the range expansion below.…”

Section: Methodsmentioning

confidence: 99%

“…Following the approach used by Lumbierres et al. (2022), the native range polygons of three amphibians and one reptile were obtained from the IUCN and subsequently refined according to the occupied habitats and elevations reported in the IUCN. Then, the native distribution of each species was spatially joined with a gridded layer at a 5 arc‐min resolution to quantify the total number of 5 arc‐min grids occupied by each species in native regions.…”

Section: Methodsmentioning

confidence: 99%

“…Following the approach used by Lumbierres et al (2022), all the occurrence and spatial polygon data in invaded ranges were subsequently refined according to the known habitats and elevations described in the International Union for Conservation of Nature and Natural Resources (IUCN) and previous studies for each of the WITVs (Jung et al, 2020;Lumbierres et al, 2022;Zimin et al, 2022).…”

Section: Occurrence Data Used To Calculate Range Expansionmentioning

confidence: 99%

See 1 more Smart Citation

Climate match is key to predict range expansion of the world's worst invasive terrestrial vertebrates

Du,

Wang,

Ashraf

et al. 2024

Global Change Biology

View full text Add to dashboard Cite

Understanding the determinants of the range expansion of invasive alien species is crucial for developing effective prevention and control strategies. Nevertheless, we still lack a global picture of the potential factors influencing the invaded range expansion across taxonomic groups, especially for the world's worst invaders with high ecological and economic impacts. Here, by extensively collecting data on 363 distributional ranges of 19 of world's worst invasive terrestrial vertebrates across 135 invaded administrative jurisdictions, we observed remarkable variations in the range expansion across species and taxonomic groups. After controlling for taxonomic and geographic pseudoreplicates, model averaging analyses based on generalized additive mixed‐effect models showed that species in invaded regions having climates more similar to those of their native ranges tended to undergo a larger range expansion. In addition, as proxies of propagule pressure and human‐assisted transportation, the number of introduction events and the road network density were also important predictors facilitating the range expansion. Further variance partitioning analyses validated the predominant role of climate match in explaining the range expansion. Our study demonstrated that regions with similar climates to their native ranges could still be prioritized to prevent the spread of invasive species under the sustained global change.

show abstract

Area of Habitat maps for the world’s terrestrial birds and mammals

Cited by 19 publications

References 22 publications

A global biogeographic regionalization of the benthic ocean

A global biogeographic regionalization of the benthic ocean

Relationship between age and method of population estimation and the impact of changes in range-size maps on the IUCN Red List assessments of birds

Climate match is key to predict range expansion of the world's worst invasive terrestrial vertebrates

Contact Info

Product

Resources

About