Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26926
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Time series analysis reveals synchrony and asynchrony between conflict management effort and increasing large grazing bird populations in northern Europe (Forthcoming/Available Online)
Authors: Cusack, Jeremy
Duthie, A Bradley
Rakotonarivo, O. Sarobidy
Pozo, Rocío
Mason, Tom
Månsson, Johan
Nilsson, Lovisa
Tombre, Ingunn
Eythórsson, Einar
Madsen, Jesper
Tulloch, Ayesha I T
Hearn, Richard
Redpath, Steve
Bunnefeld, Nils
Contact Email: jeremy.cusack@stir.ac.uk
Keywords: compensation
conflict
crane
goose
harvest
management
population count
scaring
time series
Issue Date: 8-Mar-2018
Citation: Cusack J, Duthie AB, Rakotonarivo OS, Pozo R, Mason T, Månsson J, Nilsson L, Tombre I, Eythórsson E, Madsen J, Tulloch AIT, Hearn R, Redpath S & Bunnefeld N (2018) Time series analysis reveals synchrony and asynchrony between conflict management effort and increasing large grazing bird populations in northern Europe (Forthcoming/Available Online), Conservation Letters.
Abstract: The management of conflicts between wildlife conservation and agricultural practices often involves the implementation of strategies aimed at reducing the cost of wildlife impacts on crops. Vital to the success of these strategies is the perception that changes in management efforts are synchronized relative to changes in impact levels, yet this expectation is never evaluated. We assess the level of synchrony between time series of population counts and management effort in the context of conflicts between agriculture and five populations of large grazing birds in northern Europe. We reveal inconsistent patterns of synchrony and asynchrony between changes in population counts and impact management effort relating to population harvesting, monetary payments, or scaring practices. This variation is likely due to differing management aims, the existence of lags between management decisions and population monitoring, and the inconsistent use of predictive models across case studies. Overall, our findings highlight the need for more adaptive and timely responses of management to changes in target species numbers so as not to unexpectedly increase social conflicts and jeopardize the status of wildlife populations.
DOI Link: http://dx.doi.org/10.1111/conl.12450
Rights: Copyright and Photocopying: © 2018 The Authors. Conservation Letters published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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