Experimenting With the Past to Improve Environmental Monitoring

作者: Christie A. Bahlai , Easton R. White

DOI: 10.3389/FEVO.2020.572979

关键词: ResamplingOptimal designStatistical powerRisk analysis (engineering)Ecological systems theorySite selectionCost–benefit analysisEnvironmental monitoringKey (cryptography)Computer science

摘要: Long-term monitoring programs are a fundamental part of both understanding ecological systems and informing management decisions. However, there many constraints which might prevent from being designed to consider statistical power, site selection, or the full costs benefits monitoring. Key considerations can be incorporated into optimal design program with simulations experiments. Here, we advocate for expanded use third approach: non-random resampling previously-collected data. This approach conducts experiments available data understand consequences different approaches. We first illustrate in determining length frequency assess species trends. then apply pair additional case studies, fisheries agriculture. Non-random is underutilized, but has potential improve programs.

参考文章(51)
AYESHA I. T. TULLOCH, IADINE CHADÈS, HUGH P. POSSINGHAM, Accounting for complementarity to maximize monitoring power for species management. Conservation Biology. ,vol. 27, pp. 988- 999 ,(2013) , 10.1111/COBI.12092
Michael A. McCarthy, Contending with uncertainty in conservation management decisions Annals of the New York Academy of Sciences. ,vol. 1322, pp. 77- 91 ,(2014) , 10.1111/NYAS.12507
Hedley S. Grantham, Atte Moilanen, Kerrie A. Wilson, Robert L. Pressey, Tony G. Rebelo, Hugh P. Possingham, Diminishing return on investment for biodiversity data in conservation planning Conservation Letters. ,vol. 1, pp. 190- 198 ,(2008) , 10.1111/J.1755-263X.2008.00029.X
David Keith, H. Resit Akçakaya, Stuart H.M. Butchart, Ben Collen, Nicholas K. Dulvy, Elizabeth E. Holmes, Jeffrey A. Hutchings, Doug Keinath, Michael K. Schwartz, Andrew O. Shelton, Robin S. Waples, Temporal correlations in population trends: Conservation implications from time-series analysis of diverse animal taxa Biological Conservation. ,vol. 192, pp. 247- 257 ,(2015) , 10.1016/J.BIOCON.2015.09.021
Colin J. Legg, Laszlo Nagy, Why most conservation monitoring is, but need not be, a waste of time. Journal of Environmental Management. ,vol. 78, pp. 194- 199 ,(2006) , 10.1016/J.JENVMAN.2005.04.016
Kristine Bohmann, Alice Evans, M. Thomas P. Gilbert, Gary R. Carvalho, Simon Creer, Michael Knapp, Douglas W. Yu, Mark de Bruyn, Environmental DNA for wildlife biology and biodiversity monitoring Trends in Ecology and Evolution. ,vol. 29, pp. 358- 367 ,(2014) , 10.1016/J.TREE.2014.04.003
Sean L. Maxwell, Jonathan R. Rhodes, Michael C. Runge, Hugh P. Possingham, Chooi Fei Ng, Eve McDonald-Madden, How much is new information worth? Evaluating the financial benefit of resolving management uncertainty Journal of Applied Ecology. ,vol. 52, pp. 12- 20 ,(2015) , 10.1111/1365-2664.12373
Tracy M. Rout, Joslin L. Moore, Michael A. McCarthy, Prevent, search or destroy? A partially observable model for invasive species management Journal of Applied Ecology. ,vol. 51, pp. 804- 813 ,(2014) , 10.1111/1365-2664.12234
J NICHOLS, B WILLIAMS, Monitoring for conservation Trends in Ecology and Evolution. ,vol. 21, pp. 668- 673 ,(2006) , 10.1016/J.TREE.2006.08.007