Correlation of Climatic Factors with the Weight of an Apis mellifera Beehive

Cristiano Ziegler, Renan Mitsuo Ueda, Tiago Sinigaglia, Felipe Kreimeier and Adriano Mendonça Souza
Additional contact information
Cristiano Ziegler: Graduate Program in Production Engineering, Federal University of Santa Maria, Santa Maria CEP 97105-900, Brazil
Renan Mitsuo Ueda: Graduate Program in Production Engineering, Federal University of Santa Maria, Santa Maria CEP 97105-900, Brazil
Tiago Sinigaglia: Graduate Program in Production Engineering, Federal University of Santa Maria, Santa Maria CEP 97105-900, Brazil
Felipe Kreimeier: Center of Rural Sciences, Federal University of Santa Maria, Santa Maria CEP 97105-900, Brazil
Adriano Mendonça Souza: Graduate Program in Production Engineering, Federal University of Santa Maria, Santa Maria CEP 97105-900, Brazil

Sustainability, 2022, vol. 14, issue 9, 1-13

Abstract: The bee Apis mellifera plays an important role in the balance of the ecosystem. New technologies are used for the evaluation of hives, and to determine the quality of the honey and the productivity of the hive. Climatic factors, management, flowering, and other factors affect the weight of a hive. The objective of this research was to explain the interrelationship between climatic variables and the weight of an Apis mellifera beehive using a vector autoregressive (VAR) model. The adjustment of a VAR model was carried out with seven climatic variables, and hive weight and its lags, by adjusting an equation that represents the studied hive considering all interrelationships. It was proven that the VAR (1) model can effectively capture the interrelationship among variables. The impulse response function and the variance decomposition show that the variable that most influences the hive weight, during the initial period, is the minimum dew point, which represents 5.33% of the variance. Among the variables analyzed, the one that most impacted the hive weight, after 20 days, was the maximum temperature, representing 7.50% of the variance. This study proves that it is possible to apply econometric statistical models to bee data and to relate them to climatic data, contributing significantly to the area of applied and bee statistics.

Keywords: statistical models; beehive weight; beekeeping (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/9/5302/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/9/5302/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:9:p:5302-:d:804051

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().