Faculty Opinions recommendation of The why, what, and how of global biodiversity indicators beyond the 2010 target.

Author(s):  
Nigel Yoccoz
2010 ◽  
Vol 25 (3) ◽  
pp. 450-457 ◽  
Author(s):  
JULIA P. G. JONES ◽  
BEN COLLEN ◽  
GILES ATKINSON ◽  
PETER W. J. BAXTER ◽  
PHILIP BUBB ◽  
...  

2016 ◽  
Vol 9 (6) ◽  
pp. 489-494 ◽  
Author(s):  
Chris J. Mcowen ◽  
Sarah Ivory ◽  
Matthew J. R. Dixon ◽  
Eugenie C. Regan ◽  
Andreas Obrecht ◽  
...  

2015 ◽  
Vol 9 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Piero Visconti ◽  
Michel Bakkenes ◽  
Daniele Baisero ◽  
Thomas Brooks ◽  
Stuart H. M. Butchart ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e41128 ◽  
Author(s):  
Emily Nicholson ◽  
Ben Collen ◽  
Alberto Barausse ◽  
Julia L. Blanchard ◽  
Brendan T. Costelloe ◽  
...  

2012 ◽  
Vol 148 (1) ◽  
pp. 61-68 ◽  
Author(s):  
Judit K. Szabo ◽  
Stuart H.M. Butchart ◽  
Hugh P. Possingham ◽  
Stephen T. Garnett

Author(s):  
Falko Buschke

In May, nations of the world will meet to negotiate the post-2020 Global Biodiversity Framework under the Convention on Biological Diversity. An influential ambition is “bending the curve of biodiversity loss”, which aims to reverse the decline of global biodiversity indicators. A second relevant, yet less prominent, milestone is the 20th anniversary of the publication of The Unified Neutral Theory of Biodiversity and Biogeography. Here, I apply neutral theory to show how global biodiversity indicators for population size (Living Planet Index) and extinction threat (Red List Index) decline under neutral ecological drift. This demonstrates that declining indicators alone do not necessarily reflect deterministic species-specific or geographical patterns of biodiversity loss. Thus, “bending the curve” could be assessed relative to a counterfactual based on neutral theory, rather than static baselines. If used correctly, the 20-year legacy of neutral theory can be extended to make a valuable contribution to the post-2020 Global Biodiversity Framework


Author(s):  
Jonas Geldmann ◽  
Marine Deguignet ◽  
Andrew Balmford ◽  
Neil D. Burgess ◽  
Nigel Dudley ◽  
...  

Work has begun in earnest to formulate a post-2020 Global Biodiversity Framework which will outline the vision and targets for the next decade of biodiversity conservation and beyond. However, the performance of the 2011-2020 Strategic Plan for Biodiversity suggests that even a meaningful target can fail to deliver if not accompanied by fit-for-purpose indicators. Here we provide a review of how ‘protected area’ effectiveness was addressed in the 2011-2020 plan and based on this, provide recommendations for fit-for-purpose indicators that will measure how such efforts contribute to the conservation of biodiversity. Indicators need to be built on quantitative data from site-level biodiversity monitoring of species and ecosystems combined with measurements of the state of nature in near-time, informed by remote-sensed products and other technologies. Additionally, indicators need to capture whether the essential elements of good management are in place including the identification of ecological values, threats, and objectives, equitable governance, and sufficient management resources and capacity. These fit-for-purpose indicators will require multilateral collaboration to galvanize support for, and resources to develop, the necessary infrastructure to collate and store information from countries.


2015 ◽  
Vol 9 (1) ◽  
pp. 14-20 ◽  
Author(s):  
Brendan Costelloe ◽  
Ben Collen ◽  
E.J. Milner-Gulland ◽  
Ian D. Craigie ◽  
Louise McRae ◽  
...  

2018 ◽  
Author(s):  
Andrew J Hoskins ◽  
Thomas D Harwood ◽  
Chris Ware ◽  
Kristen J Williams ◽  
Justin J Perry ◽  
...  

ABSTRACTAimGlobal indicators of change in the state of terrestrial biodiversity are often derived by intersecting observed or projected changes in the distribution of habitat transformation, or of protected areas, with underlying patterns in the distribution of biodiversity. However the two main sources of data used to account for biodiversity patterns in such assessments – i.e. ecoregional boundaries, and vertebrate species ranges – are typically delineated at a much coarser resolution than the spatial grain of key ecological processes shaping both land-use and biological distributions at landscape scale. Species distribution modelling provides one widely used means of refining the resolution of mapped species distributions, but is limited to a subset of species which is biased both taxonomically and geographically, with some regions of the world lacking adequate data to generate reliable models even for better-known biological groups.InnovationMacroecological modelling of collective properties of biodiversity (e.g. alpha and beta diversity) as a correlative function of environmental predictors offers an alternative, yet highly complementary, approach to refining the spatial resolution with which patterns in the distribution of biodiversity can be mapped across our planet. Here we introduce a new capability – BILBI (the Biogeographic Infrastructure for Large-scaled Biodiversity Indicators) – which has implemented this approach by integrating advances in macroecological modelling, biodiversity informatics, remote sensing and high-performance computing to assess spatial-temporal change in biodiversity at ~1km grid resolution across the entire terrestrial surface of the planet. The initial implementation of this infrastructure focuses on modelling beta-diversity patterns using a novel extension of generalised dissimilarity modelling (GDM) designed to extract maximum value from sparsely and unevenly distributed occurrence records for over 400,000 species of plants, invertebrates and vertebrates.Main conclusionsModels generated by BILBI greatly refine the mapping of beta-diversity patterns relative to more traditional biodiversity surrogates such as ecoregions. This capability is already proving of considerable value in informing global biodiversity assessment through: 1) generation of indicators of past-to-present change in biodiversity based on observed changes in habitat condition and protected-area coverage; and 2) projection of potential future change in biodiversity as a consequence of alternative scenarios of global change in drivers and policy options.


Science ◽  
2010 ◽  
Vol 328 (5982) ◽  
pp. 1164-1168 ◽  
Author(s):  
S. H. M. Butchart ◽  
M. Walpole ◽  
B. Collen ◽  
A. van Strien ◽  
J. P. W. Scharlemann ◽  
...  

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