Format

Send to

Choose Destination
Trends Ecol Evol. 2017 Jan;32(1):31-40. doi: 10.1016/j.tree.2016.11.005. Epub 2016 Dec 10.

A 2017 Horizon Scan of Emerging Issues for Global Conservation and Biological Diversity.

Author information

1
Conservation Science Group, Department of Zoology, Cambridge University, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK. Electronic address: w.sutherland@zoo.cam.ac.uk.
2
Biodiversity Futures Program, South African National Biodiversity Institute, Private Bag X7, Claremont 7735 and DST-NRF Centre of Excellence, FitzPatrick Institute of African Ornithology, Rondebosch 7700, South Africa.
3
TRAFFIC, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK.
4
Centre for Biodiversity and Biosecurity, School of Biological Sciences, University of Auckland, PB 92019, Auckland, New Zealand.
5
British Ecological Society, Charles Darwin House, 12 Roger Street, London, WC1N 2JL, UK.
6
Department of Biological Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
7
School of Biological Sciences, University of East Anglia, UEA, Norwich, NR4 7TJ, UK.
8
Natural England, Eastbrook, Shaftesbury Road, Cambridge, CB2 8DR, UK.
9
Fauna & Flora International, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK.
10
John Muir Institute of the Environment, The Barn, One Shields Ave., University of California, Davis, CA 95616, USA.
11
Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, UK.
12
Environment & Sustainability Institute, University of Exeter, Penryn, TR10 9FE, UK.
13
RSPB Centre for Conservation Science, Royal Society for the Protection of Birds, The Lodge, Sandy, SG19 2DL, UK.
14
Institute of Zoology, Chinese Academy of Sciences, Beijing, China 100101 and University of Chinese Academy of Sciences, Beijing, 100049, China.
15
721 Ohio Street, Bangor, ME 04401, USA.
16
Cranfield Institute for Resilient Futures, Cranfield University, Cranfield, MK43 0AL, UK.
17
The Economist, 25St James's Street, London, SW1A 1HG, UK.
18
Natural Resources Wales, Cambria House, 29 Newport Road, Cardiff, CF24 0TP, UK.
19
Conservation Science Group, Department of Zoology, Cambridge University, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK; BTO, The Nunnery, Thetford, IP24 2PU, UK.
20
British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge, CB3 0ET, UK.
21
Centre for Environment and Society and School of Biological Sciences, University of Essex, Colchester, CO4 3SQ, UK.
22
Global Marine Team, The Nature Conservancy, Department of Physical, Earth and Environmental Sciences, University of Siena, Pian dei Mantellini, 44, 53100 Siena, Italy.
23
Wetlands International, PO Box 471, 6700 AL Wageningen, The Netherlands.
24
CSER, Centre for Research in the Arts, Social Sciences and Humanities, Cambridge University, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK.
25
Conservation Science Group, Department of Zoology, Cambridge University, The David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK.

Abstract

We present the results of our eighth annual horizon scan of emerging issues likely to affect global biological diversity, the environment, and conservation efforts in the future. The potential effects of these novel issues might not yet be fully recognized or understood by the global conservation community, and the issues can be regarded as both opportunities and risks. A diverse international team with collective expertise in horizon scanning, science communication, and conservation research, practice, and policy reviewed 100 potential issues and identified 15 that qualified as emerging, with potential substantial global effects. These issues include new developments in energy storage and fuel production, sand extraction, potential solutions to combat coral bleaching and invasive marine species, and blockchain technology.

KEYWORDS:

climate change; energy security; environment; futures; invasive species; management; novel issues; predictions

PMID:
27955953
DOI:
10.1016/j.tree.2016.11.005
[Indexed for MEDLINE]
Free full text

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center