Lincoln index
Lincoln Index[edit | edit source]
The Lincoln Index is a statistical method used to estimate the population size of a particular species within a defined area. It was developed by Frederick Charles Lincoln, an American ornithologist, in the early 1930s. The index is widely used in ecology and conservation biology to assess the abundance of animal populations.
Methodology[edit | edit source]
The Lincoln Index is based on the capture-recapture technique, which involves capturing a sample of individuals from a population, marking them, releasing them back into the wild, and then recapturing another sample at a later time. By comparing the number of marked individuals in the second sample to the total number of individuals captured, an estimate of the population size can be calculated.
The formula for the Lincoln Index is as follows:
N = (n1 * n2) / m2
Where: - N represents the estimated population size - n1 is the number of individuals marked in the first sample - n2 is the number of individuals captured in the second sample - m2 is the number of marked individuals recaptured in the second sample
Application[edit | edit source]
The Lincoln Index is commonly used in wildlife management and conservation efforts. It provides a relatively simple and cost-effective way to estimate population sizes, especially for species that are difficult to observe directly or count accurately.
By applying the Lincoln Index, researchers can monitor changes in population sizes over time, assess the effectiveness of conservation measures, and make informed decisions regarding habitat management and species conservation priorities.
Limitations[edit | edit source]
While the Lincoln Index is a valuable tool, it does have some limitations. One major limitation is the assumption of equal capture probabilities for all individuals within the population. In reality, certain individuals may have a higher or lower chance of being captured, which can introduce bias into the population estimate.
Additionally, the Lincoln Index assumes that the marked individuals have an equal chance of being recaptured as the unmarked individuals. This assumption may not hold true if the marking process affects the behavior or survival of the individuals.
Conclusion[edit | edit source]
The Lincoln Index is a useful statistical method for estimating population sizes in ecology and conservation biology. Despite its limitations, it provides valuable insights into the abundance of animal populations and helps guide conservation efforts. Template:Statistics
Search WikiMD
Ad.Tired of being Overweight? Try W8MD's physician weight loss program.
Semaglutide (Ozempic / Wegovy and Tirzepatide (Mounjaro / Zepbound) available.
Advertise on WikiMD
WikiMD's Wellness Encyclopedia |
Let Food Be Thy Medicine Medicine Thy Food - Hippocrates |
Translate this page: - East Asian
中文,
日本,
한국어,
South Asian
हिन्दी,
தமிழ்,
తెలుగు,
Urdu,
ಕನ್ನಡ,
Southeast Asian
Indonesian,
Vietnamese,
Thai,
မြန်မာဘာသာ,
বাংলা
European
español,
Deutsch,
français,
Greek,
português do Brasil,
polski,
română,
русский,
Nederlands,
norsk,
svenska,
suomi,
Italian
Middle Eastern & African
عربى,
Turkish,
Persian,
Hebrew,
Afrikaans,
isiZulu,
Kiswahili,
Other
Bulgarian,
Hungarian,
Czech,
Swedish,
മലയാളം,
मराठी,
ਪੰਜਾਬੀ,
ગુજરાતી,
Portuguese,
Ukrainian
Medical Disclaimer: WikiMD is not a substitute for professional medical advice. The information on WikiMD is provided as an information resource only, may be incorrect, outdated or misleading, and is not to be used or relied on for any diagnostic or treatment purposes. Please consult your health care provider before making any healthcare decisions or for guidance about a specific medical condition. WikiMD expressly disclaims responsibility, and shall have no liability, for any damages, loss, injury, or liability whatsoever suffered as a result of your reliance on the information contained in this site. By visiting this site you agree to the foregoing terms and conditions, which may from time to time be changed or supplemented by WikiMD. If you do not agree to the foregoing terms and conditions, you should not enter or use this site. See full disclaimer.
Credits:Most images are courtesy of Wikimedia commons, and templates Wikipedia, licensed under CC BY SA or similar.
Contributors: Prab R. Tumpati, MD