Irreplaceability is a concept used to describe how close a site is to being essential for achieving conservation targets. Current methods for measuring irreplaceability are based on representative combinations of sites, giving them an extrinsic nature and exponential computational requirements. Surrogate measures based on efficiency (complementarity) are often used as alternatives, but they were never intended for this purpose and do not measure irreplaceability. Current approaches used to estimate irreplaceability have key limitations. Some of these are a result of the tools used, but some are due to the nature of the current definition of irreplaceability. For irreplaceability to be stable and useful for conservation purposes and to resolve limitations, irreplaceability measures should adhere to five axioms; baseline coherence, monotonic responsiveness, proportional responsiveness, intrinsic stability, and bounded outputs. We designed a robust method for measuring a site's proximity to irreplaceability that adheres to these requirements and used it to develop the first systematic global map of irreplaceability based on data for terrestrial vertebrates (n = 29,837 species, >1 million grid cells). At least 3.5% of land surface was highly irreplaceable, and 47.6% of highly irreplaceable cells were contained in 12 countries. More generous thresholds of irreplaceability flag greater portions of land surface that would still be realistic to protect under current global objectives. Irreplaceable sites should form a critical component of any global conservation plan and should be part of the UN Convention on Biological Diversity's post2020 Global Biodiversity Framework strategy, forming part of the 30% protection by 2030 target that is gaining support. The reliable identification of irreplaceable sites will be crucial to halting extinctions.
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http://dx.doi.org/10.1111/cobi.13806 | DOI Listing |
J Neural Eng
March 2025
Division of Image Processing, Department of Radiology, Leiden University Medical Center (LUMC), 2300 RC Leiden, The Netherlands.
Functional brain network (FBN) methods are commonly integrated with deep learning (DL) models for EEG analysis. Typically, an FBN is constructed to extract features from EEG data, which are then fed into a DL model for further analysis. Beyond this two-step approach, there is potential to embed FBN construction directly within DL models as a feature extraction module, enabling the models to learn EEG representations end-to-end while incorporating insights from FBNs.
View Article and Find Full Text PDFAn Acad Bras Cienc
February 2025
Universidade Federal do ABC (UFABC), Centro de Ciências Naturais e Humanas, Alameda da Universidade, s/n, Anchieta, 09606-070 São Bernardo do Campo, SP, Brazil.
The initial step in many biogeography approaches involves identifying biogeographical units, which serve as fundamental building blocks for understanding biodiversity patterns and guiding conservation efforts. We aimed to analyse the conservation of biogeographical units of an endangered biodiversity hotspot by: (i) detecting clusters of endemic frog species; (ii) testing predictions of vicariance model; (iii) evaluating the conservation of the patterns based on protected areas and habitat loss; and (iv) highlighting priority biogeographical units for conservation. Biogeographical units were identified via Biotic Elements analysis, using range polygons for 381 endemic frogs.
View Article and Find Full Text PDFEcol Lett
February 2025
Grupo de Ecología Cuantitativa, INIBIOMA-CONICET, Universidad Nacional del Comahue, San Carlos de Bariloche, Argentina.
It is generally accepted that small birds cannot eat large fruits and that highly frugivorous species prefer lipid-poor ones (morphological and nutritional trait-matching). Yet, it is unclear if these rules operate globally and if their strength varies with latitude and on islands. This could have important functional implications for the degree of complementarity and irreplaceability of birds.
View Article and Find Full Text PDFCureus
November 2024
Laboratory of Genomic Medicine, GHC Genetics SK Ltd. Science Park, Comenius University in Bratislava, Bratislava, SVK.
In this article, we present a case study of a five-year-old girl with autism and developmental delay, conducted at the Academic Center for Autism Research in Bratislava, Slovakia. The girl was diagnosed using Autism Diagnostic Observation Schedule-Second Edition (ADOS-2) and Autism Diagnostic Interview-Revised (ADI-R) instruments and met the criteria for autism spectrum disorder. Intellectual functioning was in the markedly below-average range, as indicated by the Snijders-Oomen Nonverbal Intelligence Test-Revised (SON-R) examination, and her level of adaptive functioning was significantly reduced.
View Article and Find Full Text PDFRoasted peanuts (OPs) are more often used in daily life than boiled peanuts (BPs); the main reason may be related to the pleasurable flavor in OPs. This study comparatively investigated the effects of boiling and roasting on nutritional components contents, taste, and aroma to reveal the advantages of roasting in terms of the nutrition and flavor of peanuts. Results showed that boiling increased fat content to 54.
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