Literature DB >> 29581587

A biodiversity-crisis hierarchy to evaluate and refine conservation indicators.

Don A Driscoll1, Lucie M Bland2, Brett A Bryan2, Thomas M Newsome2,3,4,5, Emily Nicholson2, Euan G Ritchie2, Tim S Doherty2.   

Abstract

The Convention on Biological Diversity and its Strategic Plan for Biodiversity 2011-2020 form the central pillar of the world's conservation commitment, with 196 signatory nations; yet its capacity to reign in catastrophic biodiversity loss has proved inadequate. Indicators suggest that few of the Convention on Biological Diversity's Aichi targets that aim to reduce biodiversity loss will be met by 2020. While the indicators have been criticized for only partially representing the targets, a bigger problem is that the indicators do not adequately draw attention to and measure all of the drivers of the biodiversity crisis. Here, we show that many key drivers of biodiversity loss are either poorly evaluated or entirely lacking indicators. We use a biodiversity-crisis hierarchy as a conceptual model linking drivers of change to biodiversity loss to evaluate the scope of current indicators. We find major gaps related to monitoring governments, human population size, corruption and threat-industries. We recommend the hierarchy is used to develop an expanded set of indicators that comprehensively monitor the human behaviour and institutions that drive biodiversity loss and that, so far, have impeded progress towards achieving global biodiversity targets.

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Year:  2018        PMID: 29581587     DOI: 10.1038/s41559-018-0504-8

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  5 in total

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Authors:  Brett A Bryan; Carla L Archibald
Journal:  Nature       Date:  2020-09       Impact factor: 49.962

2.  Forecasting the Mechanical Properties of Plastic Concrete Employing Experimental Data Using Machine Learning Algorithms: DT, MLPNN, SVM, and RF.

Authors:  Afnan Nafees; Sherbaz Khan; Muhammad Faisal Javed; Raid Alrowais; Abdeliazim Mustafa Mohamed; Abdullah Mohamed; Nikolai Ivanovic Vatin
Journal:  Polymers (Basel)       Date:  2022-04-13       Impact factor: 4.967

3.  Living in mixed species groups promotes predator learning in degraded habitats.

Authors:  Douglas P Chivers; Mark I McCormick; Eric P Fakan; Randall P Barry; Maud C O Ferrari
Journal:  Sci Rep       Date:  2021-09-29       Impact factor: 4.379

4.  Enhancing multiple scales of seafloor biodiversity with mussel restoration.

Authors:  Mallory A Sea; Jenny R Hillman; Simon F Thrush
Journal:  Sci Rep       Date:  2022-03-23       Impact factor: 4.379

5.  The architecture of assisted colonisation in sea turtles: building new populations in a biodiversity crisis.

Authors:  Anna Barbanti; Janice M Blumenthal; Annette C Broderick; Brendan J Godley; Alejandro Prat-Varela; Maria Turmo; Marta Pascual; Carlos Carreras
Journal:  Nat Commun       Date:  2022-03-24       Impact factor: 17.694

  5 in total

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