Accuracy in population estimation: A methodological consideration |
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| Authors: | C. Li H.J. Barclay H. Hans J. Liu R. Klos G. Carlson |
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| Affiliation: | 1. Canadian Wood Fibre Centre, Canadian Forest Service, Natural Resources Canada, 5320 – 122 Street, Edmonton, Alberta, Canada T6H3S5;2. Pacific Forestry Centre, Canadian Forest Service, 506 Burnside Road, Victoria, British Columbia, Canada;3. Forestry Branch, Manitoba Conservation, Box 70, 200 Saulteaux Cres., Winnipeg, Manitoba, Canada;1. Department of Biomedical Genetics, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA;2. Department of Pediatrics, Center for Pediatric Biomedical Research, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA;1. UMR 7009, UPMC University, Paris 06, France;2. Centre National de la Recherche (CNRS), Observatoire Océanologique, 06230 Villefranche-sur-Mer, France;1. Department of Neurobiology and Anatomy and Internal Medicine, Division of Hematology and Hematologic Malignancies University of Utah, School of Medicine, Salt Lake City, UT 94132, USA;2. Department of Cell and Developmental Biology Oregon Health and Science University, School of Medicine, Portland, OR 97239-3098, USA;1. Institute of Liver, Gastroenterology, and Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, New Delhi, India;2. Kalinga Institute of Medical Sciences, KIIT University, Bubaneswar, India;3. Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India;4. Department of Obstetrics and Gynecology, LHMC & Associated Hospitals, New Delhi, India;6. Department of Obstetrics and Gynecology, Postgraduate Institute of Medical Education and Research, Chandigarh, India;5. Department of Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India;7. Department of Hepatology, Christian Medical College, Vellore, India;11. Department of Gastroenterology, Guwahati Medical College, Assam, India;12. Institute of Obstetrics and Gynecology, Sir Ganga Ram Hospital, New Delhi, India;8. Delhi IVF and Fertility Research Centre, New Delhi, India;10. Institute of Liver and Biliary Sciences, New Delhi, India;9. Department of Gastroenterology and Hepatology, Max Super Speciality Hospital, Vaishali, Patparganj, New Delhi;71. Max Smart Super Speciality Hospital, Saket, New Delhi, India;112. Rainbow Hospitals, Agra, India;123. Dept of Obstetrics & Gynecology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India;84. Department of Gastroenterology, NIMS Medical College and Hospital, Jaipur, India;106. Department of Hepatology, Asian Institute of Gastroenterology Hospitals, Hyderabad, India;95. Department of Obstetrics and Gynecology, All India Institute of Medical Sciences (AIIMS), New Delhi, India;77. Regional Institute of Medical Sciences (RIMS), Imphal, Manipur, India;1111. Department of Gastroenterology, SCB Medical College, Cuttack, India;1212. BLK Super Speciality Hospital, New Delhi, India;1. Epidemiology and Surveillance Section, Canadian Food Inspection Agency, 3200 Sicotte St., PO Box 5000, St-Hyacinthe, QC, Canada J2S 7C6;2. Epidemiology and Surveillance Section, Canadian Food Inspection Agency, Department of Health Management, Atlantic Veterinary College, 550 University Ave., Charlottetown, PEI, Canada C1A 4P3 |
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| Abstract: | Accuracy in population estimation from individual measurement has been traditionally a research focus in both theoretical and applied ecology. In forest sciences, estimation of productivity and value recovery of forest products is essential for decision-making to achieve the goal of sustainable forest management. In this paper, we review the basic structure of data in forest sciences, describe commonly used statistical procedures in obtaining population estimates, and examine the accuracy associated with the forest products value estimation using forest inventory data of Manitoba, Canada. Our results suggested that simplified statistical procedures could bring about a wide range of bias in estimating lumber value recovery at the stand level, and improved understanding of stand structure and its reconstruction through computer simulation could be essential in reducing the bias involved in the estimation. |
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