Biodiversity assessments: Origin matters
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In: PLoS Biology, Vol. 16, No. 11, e2006686, 13.11.2018.
Research output: Journal contributions › Comments / Debate / Reports › Research
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TY - JOUR
T1 - Biodiversity assessments
T2 - Origin matters
AU - Pauchard, Aníbal
AU - Meyerson, Laura A.
AU - Bacher, Sven
AU - Blackburn, Tim M.
AU - Brundu, Giuseppe
AU - Cadotte, Marc W.
AU - Courchamp, Franck
AU - Essl, Franz
AU - Genovesi, Piero
AU - Haider, Sylvia
AU - Holmes, Nick D.
AU - Hulme, Philip E.
AU - Jeschke, Jonathan M.
AU - Lockwood, Julie L.
AU - Novoa, Ana
AU - Nuñez, Martin A.
AU - Peltzer, Duane A.
AU - Pyšek, Petr
AU - Richardson, David M.
AU - Simberloff, Daniel
AU - Smith, Kevin
AU - van Wilgen, Brian W.
AU - Vilà, Montserrat
AU - Wilson, John R.U.
AU - Winter, Marten
AU - Zenni, Rafael D.
PY - 2018/11/13
Y1 - 2018/11/13
N2 - Recent global efforts in biodiversity accounting, such as those undertaken through the Convention on Biological Diversity (CBD) and Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), are vital if we are to track conservation progress, ensure that we can address the challenges of global change, and develop powerful and scientifically sound indicators. Schlaepfer [1] proposes that we should work toward inventories of biodiversity that account for native and non-native species regardless of species origin and ecological context. We strongly disagree with the approach of combining counts of native and non-native species because this will reduce our capacity to detect the effects of non-native spe-cies on native biodiversity with potentially devastating consequences. Compelling and abundant evidence demonstrates that some non-native species can become invasive and produce major ecosystem disruptions and even native species extinction. Unfortunately, we still cannot be certain which non-native species will be the most detrimental (e.g., [2]). Combining native and non-native species together into a single biodiversity index would not only inflate biodiversity estimates and risk promoting the spread of invasive non-native species but would also ignore the fundamental ecological differences between the two groups. The critical differencesthat should be considered when assessing biodiversity include the following.
AB - Recent global efforts in biodiversity accounting, such as those undertaken through the Convention on Biological Diversity (CBD) and Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), are vital if we are to track conservation progress, ensure that we can address the challenges of global change, and develop powerful and scientifically sound indicators. Schlaepfer [1] proposes that we should work toward inventories of biodiversity that account for native and non-native species regardless of species origin and ecological context. We strongly disagree with the approach of combining counts of native and non-native species because this will reduce our capacity to detect the effects of non-native spe-cies on native biodiversity with potentially devastating consequences. Compelling and abundant evidence demonstrates that some non-native species can become invasive and produce major ecosystem disruptions and even native species extinction. Unfortunately, we still cannot be certain which non-native species will be the most detrimental (e.g., [2]). Combining native and non-native species together into a single biodiversity index would not only inflate biodiversity estimates and risk promoting the spread of invasive non-native species but would also ignore the fundamental ecological differences between the two groups. The critical differencesthat should be considered when assessing biodiversity include the following.
KW - Biology
UR - http://www.scopus.com/inward/record.url?scp=85056529015&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/0069d84c-462d-389f-a34a-5e5bfde68911/
U2 - 10.1371/journal.pbio.2006686
DO - 10.1371/journal.pbio.2006686
M3 - Comments / Debate / Reports
C2 - 30422976
AN - SCOPUS:85056529015
VL - 16
JO - PLoS Biology
JF - PLoS Biology
SN - 1544-9173
IS - 11
M1 - e2006686
ER -