Ecological science relies on robust estimates of the
abundance, diversity, and spatial distribution of individuals and species, but
these quantities are notoriously difficult to observe directly. Statistics may
be considered as the science and technique of collecting, analysing, and making
inferences from data, and these references are stated as probabilities. The
study aims to explore and apply quantitative and statistical methods in ecology
to understand the relationships between populations and their environment,
assess the effects of environmental hazards on animal and plant populations,
and evaluate overall ecological balance. Fundamental statistical concepts,
including descriptive statistics, probability distribution, regression and
correlations, and the chi-square distribution, are demonstrated to show their
function in analysing ecological data. On the other hand, specialised methods,
such as species-abundance relations and species-diversity measures, provide
insights into community structure and ecosystem stability. The study recommends
the use of logarithmic distributions to accurately fit species-abundance data
and enhance the reliability of ecological analyses.
Author(s) Details
B. K. Singh
Department of Mathematics, School of Sciences, IFTM University,
Moradabad-244102, Uttar Pradesh, India.
Rajan Singh
Department of Mathematics, School of Sciences, IFTM University,
Moradabad-244102, Uttar Pradesh, India.
Anshul Dubey
Department of Mathematics, School of Sciences, IFTM University,
Moradabad-244102, Uttar Pradesh, India.
Nidhi Tiwari
Department of Mathematics, School of Sciences, IFTM University,
Moradabad-244102, Uttar Pradesh, India.
Nidhi Prabhaka
Department of Mathematics, School of Sciences, IFTM University,
Moradabad-244102, Uttar Pradesh, India.
Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v9/7057
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