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26 results for “Key Biodiversity Area”
List and date of establishment of Marine Protected Areas and Key Biodiversity Areas of the Alboran Sea
<p>List of Marine Protected Areas and Key Biodiversity Areas for the Alboran Sea (Abbreviation in Spanish, French and English with lenguage among brackets- Fr: French; S: Spanish), indicating its figure of conservation, year of establishment for each figure of protection and national or regional management body (in brackets). IBA: Importante Bird Area; IMMA: Important Marine Mammals Area; MR: Marine Reserve; MR/FR: Marine and Fishing Reserve; NA: Natural Area; NM: Natural monument; NP: Natural Park; SPAMI: Specially Protected Areas of Mediterranean Importance; RAMSAR: Wetlands of International Importance (Ramsar Sites); SCI: Site of Community Importance of Natura 2000; SAC: Special Area of Conservation of Natura 2000; SPA: Special Protection Area of Natura 2000; ZEPA: Zona de Especial Protección para las Aves; ZEPIM: Zonas Especialmente Protegidas de Importancia para el Mediterráneo; LIC: Lugar de Importancia Comunitaria de Natura 2000; ZEC: Zona de Especial Conservación de Natura 2000; ASPIM: Aire Spécialement Protégée d'Importance Méditerranéenne; SIC: Site d'Importance Communautaire; ZPS: Zones de Protection Spéciale.</p>
FIGURE 15 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 15: Sample rarefaction curve for lizards and amphisbaenids in RPPN Pedra D'Antas, after 24 days of effort.
FIGURE 3 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 3: Amphibians species recorded at the Serra do Urubu mountain range. (A) Dendropsophus haddadi, (B) Dendropsophus minutus, (C) Dendropsophus oliveirai, (D) Dendropsophus soaresi, (E) Boana albomarginata, (F) Boana atlantica, (G) Boana crepitans, (H) Boana exastis.
FIGURE 11 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 11: Reptile species recorded at the Serra do Urubu mountain range. (A) Salvator merianae, (B) Strobilurus torquatus (Photo by C.O. Gussoni), (C) Tropidurus hispidus, (D) Tropidurus semitaeniatus (Photo by C.O. Gussoni), (E) Boa constrictor, (F) Corallus hortulanus, (G) Epicrates assisi, (H) Spilotes pullatus.
FIGURE 10 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 10: Reptile species recorded at the Serra do Urubu mountain range. (A) Dryadosaura nordestina, (B) Iguana iguana, (C) Enyalius aff. catenatus (fêmea), (D) Enyalius aff. catenatus (macho), (E) Gymnodactylus darwinii, (F) Polychrus marmoratus, (G) Mabuya nigropunctata, (H) Ameiva ameiva (Photo by C.O. Gussoni).
FIGURE 6 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 6: Amphibians species recorded at Serra do Urubu mountain range. (A) Leptodactylus fuscus, (B) Leptodactylus cf. latrans, (C) Leptodactylus natalensis, (D) Leptodactylus troglodytes, (E) Leptodactylus vastus, (F) Physalaemus cuvieri, (G) Pseudopaludicola mystacalis, (H) Chiasmocleis alagoana.
FIGURE 2 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 2: Amphibians species recorded at the Serra do Urubu mountain range. (A) Rhinella crucifer, (B) Rhinella granulosa (Photo by C.O. Gussoni), (C) Rhinella jimi (Photo by C.O. Gussoni), (D) Gastrotheca fissipes, (E) Gastrotheca pulchra (Photo by B. Lisboa), (F) Hylomantis granulosa, (G) Dendropsophus branneri, (H) Dendropsophus elegans.
FIGURE 1 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 1: Map of RPPN Pedra D'Antas and RPPN Frei Caneca, at the Serra do Urubu mountain range municipalities of Jaqueira and Lagoa dos Gatos, Pernambuco State, Brazil, with the respectives study sites.
FIGURE 14 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 14: Reptile species recorded at the Serra do Urubu mountain range. (A) Amerotyphlops arenensis, (B) Crotalus durissus, (C) Lachesis muta.
FIGURE 13 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 13: Reptile species recorded at the Serra do Urubu mountain range. (A) Philodryas olfersii (Photo by C.O. Gussoni), (B) Pseudoboa nigra, (C) Sibynomorphus sp. (D) Taeniophallus affinis, (E) Xenodon sp. (Photo by C.O. Gussoni), (F) Xenopholis scalaris, (G) Micrurus sp. (H) Micrurus lemniscatus carvalhoi.
FIGURE 9 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 9: Reptile species recorded at the Serra do Urubu mountain range. (A) Amphisbaena alba, (B) Amphisbaena pretrei, (C) Norops fuscoauratus, (D) Dactyloa punctata, (E) Diploglossus lessonae (juvenile), (F) Diploglossus lessonae (adult), (G) Ophiodes sp. (H) Hemidactylus mabouia (Photo by C.O. Gussoni).
FIGURE 7 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 7: Amphibians species recorded at the Serra do Urubu mountain range. (A) Proceratophrys renalis, (B) Lithobates palmipes, (C) Pristimantis ramagii, (D) Pristimantis sp.
FIGURE 5 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 5: Amphibians species recorded at the Serra do Urubu mountain range. (A) Scinax eurydice, (B) Scinax fuscomarginatus, (C) Scinax x-signatus pattern 1, (D) Scinax clade ruber, (E) Scinax nebulosus, (F) Scinax pachycrus, (G) Scinax x-signatus pattern 2, (H) Adenomera cf. hylaedactyla.
FIGURE 4 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 4: Amphibians species recorded at the Serra do Urubu mountain range. (A) Boana faber, (B) Boana freicanecae, (C) Boana raniceps (Photo by C.O. Gussoni), (D) Boana semilineata, (E) Phyllodytes edelmoi, (F) Phyllodytes gyrinaethes, (G) Pithecopus nordestinus, (H) Scinax auratus.
FIGURE 12 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 12: Reptile species recorded at the Serra do Urubu mountain range. (A) Tantilla melanocephala, (B) Atractus potschi, (C) Dipsas sazimai, (D) Erythrolamprus aesculapii (Photo by C.O. Gussoni), (E) Imantodes cenchoa, (F) Leptodeira annulata, (G) Oxyrhopus petolarius (Photo by C.O. Gussoni), (H) Oxyrhopus trigeminus.
Key Biodiversity Areas (KBAs) R package, KBAscope, application to Greece
<p>Key Biodiversity Areas (KBAs) represent the largest global network of sites critical to the persistence of biodiversity, which have been identified against standardised quantitative criteria. Sites that hold very high biodiversity value or potential are given specific attention on site-based conservation targets of the Kunming-Montreal Global Biodiversity Framework (GBF), and KBAs are already used in indicators for the GBF and the Sustainable Development Goals. However, most of the species that trigger KBA status are birds and to maximise benefits for biodiversity under the actions taken to fulfil the GBF, countries need to update their KBAs to represent important sites across multiple taxa. Here we introduce KBAscope, an R package to identify potential KBAs using multiple taxonomic groups. KBAscope provides flexible, user-friendly functions to edit species data (population, range maps, area of occupancy, area of habitat and localities); apply KBA criteria; and generate outputs to support the delineation and validation of KBAs. The details of the analysis - such as the spatial units tested or the KBA criteria applied - can be decided according to the scope of the analysis. We demonstrate the functionality of KBAscope by using it to identify potential KBAs in Greece based on multiple terrestrial taxonomic groups and four sizes of grid cells (4 km<sup>2</sup>, 25 km<sup>2</sup>, 100 km<sup>2</sup>, 225 km<sup>2</sup>).</p>
Key Biodiversity Areas (KBAs) R package, KBAscope, application to Greece
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Range-wide habitat use of the Harpy Eagle indicates four major tropical forest gaps in the Key Biodiversity Area network
<p>Quantifying habitat use is important for understanding how animals meet their requirements for survival and provides information for conservation planning. Currently, assessments of range-wide habitat use that delimit species distributions are incomplete for many taxa. The Harpy Eagle (Harpia harpyja) is a raptor of conservation concern, widely distributed across Neotropical lowland forests, that currently faces threats from habitat loss and fragmentation. Here, we use penalized logistic regression to identify species-habitat associations and predict habitat suitability based on a new International Union for the Conservation of Nature range metric, termed Area of Habitat. From the species-habitat model, we performed a gap analysis to identify areas of high habitat suitability in regions with limited coverage in the Key Biodiversity Area (KBA) network. Range-wide habitat use indicated that Harpy Eagles prefer areas of 70-75% evergreen forest cover, low elevation, and high vegetation species richness. Conversely, Harpy Eagles avoid areas of >10% cultivated landcover and mosaic forest, and topographically complex areas. Our species-habitat model identified a large continuous area of potential habitat across the pan-Amazonia region, and a habitat corridor from the Chocó-Darién ecoregion of Colombia running north along the Caribbean coast of Central America. Little habitat was predicted across the Atlantic Forest biome, which is now severely degraded. The current KBA network covered 18% of medium to high Harpy Eagle habitat exceeding a target biodiversity area representation of 10%, based on species range size. Four major areas of high suitability habitat lacking coverage in the KBA network were identified in north and west Colombia, western Guyana, and north-west Brazil. We recommend these multiple gaps of habitat as new KBAs for strengthening the current KBA network. Modelled area of habitat estimates as described here are a useful tool for large-scale conservation planning and can be readily applied to many taxa.</p>
Data from: Orchid trade at the source: Epiphytic species with conspicuous flowers in low-elevation forests are more locally collected in a Philippine key biodiversity area
<p>Orchids are the most heavily traded plant group globally, putting pressure on wild populations in many source countries like the Philippines. Despite its rich orchid diversity, there remains a notable gap in understanding the factors driving orchid trade within the country. To address this knowledge gap and support orchid conservation efforts, we utilized a five-year orchid diversity dataset extensively collected through floristic field and village garden surveys in one of the largest key biodiversity areas in the southern Philippines. We employed a trait-based approach to investigate ecological drivers of local orchid collection within this source area. Our results show that around 36% of local orchid diversity have predicted collection risks of ≥50%. Notably, locally collected orchid species exhibited multiple, large, and conspicuously colored flowers that are found in low-elevation forests and higher up in forest stratum. Elevational distribution and flower size emerged as the strongest predictors, potentially influencing collection preferences. Our analysis of predicted collection risks underscores the vulnerability of both threatened and non-threatened orchid species to local collection pressures. Moreover, we highlight the practical utility of our trait-based approach in predicting risks and informing management strategies for local orchid conservation. This research marks a significant step towards identifying ecological drivers influencing orchid trade at its source, providing insights that can inform targeted conservation strategies across many key biodiversity areas for this highly diverse, charismatic, and threatened plant family.</p>
Supplementary Data for "Co-occurrence of climate-change induced and anthropogenic pressures in Central American key biodiversity areas"
<p>Supplementary Data for the article "Co-occurrence of climate-change induced and anthropogenic pressures in Central American key biodiversity areas"</p> <p>This includes the pressure score maps for all climate scenarios / SSPs for the historical and future time periods as well as the script used for preparing the anthropogenic pressure maps (human footprint mapping).</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.