Download Program MONITOR software here
(v. 11.0.0 MS Windows version; .zip file, click on .exe file for program self-install, 1mb)
Sample MS Excel spreadsheet for partitioning sampling from process variation given pilot monitoring data (courtesy of Dr.Brian Underwood)
About MONITOR version 11.0.0
March 16, 2010
Copyright 1995-2010 James P. Gibbs and Eduard Ene
This is a freeware application - do not distribute it in any commercial form.
Please credit the authors in any published work that makes use of the software, using the following citation:
Gibbs, J. P., and Eduard Ene. 2010. Program Monitor: Estimating the statistical power of ecological monitoring programs. Version 11.0.0.
The program was first developed in 1995 (as a DOS application written in Turbo Pascal 7.0). This is its first major renovation, prompted in large part by the need for a Windows-based version and a critique of the program by Hatch (2003, Biological Conservation 111:317-329). The current version of the software was programmed in C++.
The software benefited greatly from the technical comments of Sam Droege, Tim Gerrodette, Scott A. Hatch, and Clinton T. Moore and the technical advice and encouragement and assistance of Pablo Ramirez, Greg Hood, Scott Melvin, Greg Shriver, Brian Underwood, Jim Hines, and Einar Mencle. Many users have also provided us with valuable feedback.
Suggestions for improvement of the software and information on how you are applying the software are welcome. Send them to email@example.com Note that we are unable to provide consultation on use of the software - it is provided for your use on an "as is" basis.
Software created by James P. Gibbs and Eduard Ene, State University of New York, College of Forestry and Environmental Science, Syracuse, NY 13210 USA
What does Program Monitor do?
This software estimates the statistical power of ecological monitoring programs. Because many design variables interact to determine the capacity of a monitoring program to detect trends, intuitive answers are elusive for such basic questions as: "How many plots should I monitor?" or "How often should I conduct surveys?" or "For how long should I monitor?"
Program MONITOR uses simulation procedures to evaluate how each component of a monitoring program influences its power to detect trends. The program has been cited in numerous peer-reviewed publications since it first became available in 1995 (see below for sample of peer-reviewed publications using Program MONITOR). The specific components of sampling design that program MONITOR integrates are:
· Number of plots monitored
· Frequency of plot re-measurement each season
· Occasions of plot surveys through time
· Magnitude of measurement values on each plot
· Variation in measurements on each plot (all sources of variation pooled together, or within- ("sampling") and between-season ("process") variation partitioned separately)
· Magnitude of ongoing population trends
· Significance level associated with trend detection
· Number of tails considered in statistical tests of trend significance
· Data type: Normally distributed and log-normally distributed or presence/absence
· Pattern of variation in the relationship of magnitude of measurements versus their variance over time (coefficient of variation constant versus proportional to the mean measurement)
· Whole versus fractional measures (rounding)
· Measurement truncation
· Data type: Presence/absence
Most users will apply Program MONITOR to population monitoring but the program is applicable to any designing monitoring programs for any index measured over time and space. Program MONITOR can be used to find an optimal sampling design once you have declared desired power levels and maximum sampling effort you are willing to undertake. The program also is a useful tool for teaching students about trend detection and sampling design.
A sampling of publications citing Program MONITOR:
Flesch AD, Steidl RJ Population trends and implications for monitoring cactus ferruginous pygmy owls in Northern Mexico JOURNAL OF WILDLIFE MANAGEMENT 70 (3): 867-871 JUN 2006
Lewis KP Statistical power, sample sizes, and the software to calculate them easily BIOSCIENCE 56 (7): 607-612 JUL 2006
Pollock JF Detecting population declines over large areas with presence-absence, time-to-encounter, and count survey methods CONSERVATION BIOLOGY 20 (3): 882-892 JUN 2006
Freilich JE, Camp RJ, Duda JJ, et al. Problems with sampling desert tortoises: A simulation analysis based on field data JOURNAL OF WILDLIFE MANAGEMENT 69 (1): 45-56 JAN 2005
Woodsmith RD, Noel JR, Dilger ML An approach to effectiveness monitoring of floodplain channel aquatic habitat: channel condition assessment LANDSCAPE AND URBAN PLANNING 72 (1-3): 177-204 APR 30 2005
Corser JD, Dodd CK Fluctuations in a metapopulation of nesting four-toed salamanders, Hemidactylium scutatum, in the Great Smoky Mountains National Park, USA, 1999-2003 NATURAL AREAS JOURNAL 24 (2): 135-140 APR 2004
Newmark WD, Senzota RBM Power to detect trends in ecological indicators in the East Usambara Mountains, Tanzania AFRICAN JOURNAL OF ECOLOGY 41 (4): 294-298 DEC 2003
Salvidio S, Delaugerre M Population dynamics of the European leaf-toed gecko (Euleptes europaea) in NW Italy: Implications for conservation HERPETOLOGICAL JOURNAL 13 (2): 81-88 APR 2003
Hebert CE, Weseloh DVC Assessing temporal trends in contaminants from long-term avian monitoring programs: The influence of sampling frequency ECOTOXICOLOGY 12 (1-4): 141-151 FEB-AUG 2003
Storfer A Amphibian declines: future directions DIVERSITY AND DISTRIBUTIONS 9 (2): 151-163 MAR 2003
Hayward GD, Miquelle DG, Smirnov EV, et al. Monitoring Amur tiger populations: characteristics of track surveys in snow WILDLIFE SOCIETY BULLETIN 30 (4): 1150-1159 WIN 2002
Lor S, Malecki RA Call-response surveys to monitor marsh bird population trends WILDLIFE SOCIETY BULLETIN 30 (4): 1195-1201 WIN 2002
Acosta CA, Perry SA Spatio-temporal variation in crayfish production in disturbed marl prairie marshes of the Florida Everglades JOURNAL OF FRESHWATER ECOLOGY 17 (4): 641-650 DEC 2002
Galimberti F Power analysis of population trends: An application to elephant seals of the Falklands MARINE MAMMAL SCIENCE 18 (2): 557-566 APR 2002
Marsh DM Fluctuations in amphibian populations: a meta-analysis BIOLOGICAL CONSERVATION 101 (3): 327-335 OCT 2001
Cooper BA, Raphael MG, Mack DE Radar-based monitoring of marbled murrelets CONDOR 103 (2): 219-229 MAY 2001
Johnson CM, Krohn WB The importance of survey timing in monitoring breeding seabird numbers WATERBIRDS 24 (1): 22-33 2001
Bishop MA, Meyers PM, McNeley PF A method to estimate migrant shorebird numbers on the Copper River Delta, Alaska JOURNAL OF FIELD ORNITHOLOGY 71 (4): 627-637 FAL 2000
Smith CK, Petranka JW Monitoring terrestrial salamanders: Repeatability and validity of area-constrained cover object searches JOURNAL OF HERPETOLOGY 34 (4): 547-557 DEC 2000
Corser JD Decline of disjunct green salamander (Aneides aeneus) populations in the southern Appalachians BIOLOGICAL CONSERVATION 97 (1): 119-126 JAN 2001
Lewis SA, Gould WR Survey effort effects on power to detect trends in raptor migration counts WILDLIFE SOCIETY BULLETIN 28 (2): 317-329 SUM 2000
Warnock N, Haig SM, Oring LW Monitoring species richness and abundance of shorebirds in the western Great Basin CONDOR 100 (4): 589-600 NOV 1998
Nelson SM, Epstein ME Butterflies (Lepidoptera : Papilionoidea and Hesperioidea) of Roxborough State Park, Colorado, USA: Baseline inventory, community attributes, and monitoring plan ENVIRONMENTAL MANAGEMENT 22 (2): 287-295 MAR-APR 1998
Becker BH, Beissinger SR, Carter HR At-sea density monitoring of marbled Murrelets in central California: Methodological considerations CONDOR 99 (3): 743-755 AUG 1997