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  1. 1
    New opportunities and challenges for conservation evidence synthesis from advances in natural language processing

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  2. 2
    New opportunities and challenges for conservation evidence synthesis from advances in natural language processing

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  3. 3
    Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders

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  4. 4
    Exploring the potential for online data sources to enhance species threat mapping through the case study of global bat exploitation

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  5. 5
    Catalyzing success in community-based conservation

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  6. 6
    Evidence-based guidelines for automated conservation assessments of plant species

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  7. 7
    Identifying socioeconomic and biophysical factors driving forest loss in protected areas

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  8. 8
    Applying deep learning to right whale photo identification

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