The
main objective of this effort is to get an better idea of the amount of
honey bee colonies losses over the states during the timespan of 1
year.
The second objective is finding out how much impact different stressors have on honey bee colonies.
The third aim is searching for any relations between stressors and losses.
The source of this data is the Report on "Honey Bee Colonies"; ISSN: 2470-993X
Released August 1, 2019, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, United States Department of Agriculture (USDA). Information about all NASS surveys and reports is available online at www.nass.usda.gov.
1/ January 1 colonies plus all colonies moved into that state during the quarter.
2/ Percent lost is the number of lost colonies divided by maximum
colonies except for the United States, where percent lost is the number
of lost colonies divided by the January 1 colonies.
3/ Defined as any surviving colony that was requeened or received new honey bees through nuc or package.
4/ Percent renovated is the number of renovated colonies divided by
maximum colonies except for the United States, where percent renovated
is the number of renovated colonies divided by the January 1 colonies.
at 1st January 2018.
Note the big increase in colonies during the Q1 in California: from 1.150.000 to 1.540.000. In February the almond trees in California have their blossom season, however the local bee population is too small for a full pollination. So they have to attract many non-local bee colonies. Bee colonies are transported from state as far as Michigan. These transports induce stress to the bees: temperature differences, fuels and vibrations. In 2019 a study found that esp. temperature differences are a factor in CCD, colony collapse disease.
Let's see if we can visualize these movements.
California has an armada of bee colonies, and this is also the case for some other southeners like Texas, FL and GA.
In the North is Idaho the top colony keeper, followed by Oregon and ND.
Most renovations are done in southern states, apparently.
I'll assign the "other states" value to Nevada and Alaska, but only for the creation of geoplots.
Transporting Honey Bee Hives
source: Managed Honey Bee Welfare Problems and Potential Interventions
After the almonds pollination job is done in February, a portion of the hives will return home, while some will go to another pollination job elsewhere.
Propagate pcts and amounts from start "loss" through to "col_loss".
The reporters use a strange way of reporting the data: they base e.g.
the % of lost colonies on the maximum colonies in that state during
that quarter. So the % are not based on the colonies at 1st day of the
quarter.
After you take note of the number of colony losses, you might understand why this approach has been chosen.
This way it is impossible to know how many colonies were there introduced permanently de facto, or how many colonies were there interim, for e.g. pollination purposes, and would leave after their job was done.
The maximum numbers of colonies present in a state during a quarter, minus the numbers of colonies on day 1 of the quarter.
This gives us the intraquaterly number of colony movements. Perhaps colony activity is a better word in this case.
Blue for Jan. - March, Orange for April - June , Green for July - Sep. , Red for Oct - Dec.
A look at the plot makes me guess a quarterly average of almost 10% of the colonies that were lost.
Percent
of colonies affected by stressors anytime during the quarter, for
Operations with Five or More Colonies - States and United States.
A colony may be affected by multiple stressors during the quarter.
The group of Other and Unknown surprisingly has the most importance value, in case of the 45 states combined. What will be found if we only select the 15 biggest colony keepers?
The most important parameter amongst the top 15: "Other pests and parasites"!?
Percentage of colonies affected by Varroa mites anytime during the first quarter Q1 of 2018.
we have data of year 2018 for stressors, but yields and production dataset only goes till 2017.
plan to use this set as validation set random forest regressor.
What is the influence of stressors in Q4 2108 on the Q1 2019 losses?
With this result it shows that the number of colonies at day 1 of
the quarter and the max. amount of colonies during that quarter are the
parameters that are important for the losses next quarter.
This unexpected result prompted me to search additional info, and could
find some explanations that are linked to growing relation bt.
apiculture and horticulture.
I knew that commercial bee colony contracting for almond orchard pollination happened, but didn't had numbers.
Sources:
The correlation bt. honey yield and number of colonies is poor, for several reasons.
stressors and colonies (max) are from the same quarter, but the target is comprised of losses of the next quarter.