Supplementary Material
Characterizing honey bee exposure and effects from pesticides for chemical
prioritization and life cycle assessment
Eleonora Crennaa1, Olivier Jollietb, Elena Collinaa, Serenella Salac, Peter Fantked*
a Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126
Milan, Italy
b Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, USA
c European Commission, Joint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy
d Quantitative Sustainability Assessment, Department of Technology, Management and Economics, Technical
University of Denmark, Produktionstorvet 424, 2800 Kgs. Lyngby, Denmark
* Corresponding author: Peter Fantke, phone: +45 45254452, Email: [email protected]
27 pages, 19 tables, 4 figures
Table of contents
S-1. Keywords for understanding the model ...................................................................................... 2
S-2. Honey bee ecology behind exposure to pesticide residues .......................................................... 3
S-3. Impact characterization framework: full model description ........................................................ 4
S-3.1 Calculating parameter Nforager i ............................................................................................. 6
S-3.2 Calculating parameter dermal Qforager i, j ............................................................................... 7
Calculating parameter Mforager i, j ...................................................................................................... 7
Calculating parameter frforager i ......................................................................................................... 7
S-3.3 Calculating parameter frA .................................................................................................. 11
S-3.4 Calculating parameter oral Qforager i, nectar ............................................................................ 11
S-3.5 Parameter C and mappl for the pesticides selected in the case study ................................... 12
S-3.6 Additional analysis on pesticide residues .......................................................................... 15
S-3.7 Parameter LD50 for the pesticides selected in the case study ............................................ 19
S-4. Results of the illustrative case study ......................................................................................... 20
S-5. Monte Carlo uncertainty analysis .............................................................................................. 22
References ............................................................................................................................................. 25
1 Present address: Technology and Society Laboratory, Empa, Lerchenfeldstrasse 5, CH-9014, St. Gallen,
Switzerland
S2
S-1. Keywords for understanding the model
Table S1 summarizes the keywords used to describe the main elements of the impact characterization
framework for insect pollinators’ exposure to pesticides.
Table S1. Relevant keywords.
Keywords Definition
Pollen Protein rich food, collected from flowers
Nectar Sugar rich food, collected from flowers
Pollen forager Honey bee forager type that collects actively pollen and delivers it to the
hive
Nectar forager
Honey bee forager type that collects actively nectar, either with or
without getting in contact with pollen, and delivers it to the hive. In case
of pollen contact, the fraction of nectar foragers collecting pollen
delivers also pollen to the hive
Pollen load
Amount of fresh pollen, in shape of balls formed by honey bees, stored
on both the hind legs in the pollen baskets and carried to the hive as a
source of food for the colony, especially for the larvae
Nectar load
Amount of fresh nectar stored by a honey bee in the so-called honey
stomach (or secondary stomach) and carried to the hive as a source of
food for the colony, especially for the larvae
Nectar consumption Amount of fresh nectar taken in by all the honey bees forager types as a
source of immediate energy for supporting foraging and flying activities.
Exposure time
fraction
Fraction of time over 24 hours, during which individual honey bee
forager types are exposed to agricultural pesticides, via dermal contact of
either pollen or nectar.
sFforager i
Dermal contact fraction, i.e. the amount of a certain pesticide
transferred via contact exposure from pollen or nectar load to the surface
(i.e. either skin or honey stomach) of the specific honey bees forager
type, per unit of the same pesticide applied in the crop field, over a
certain exposure time. It is measured as kgdermal contact/kgapplied
iFforager i
Oral intake fraction, i.e. the amount of pesticide taken in via
consumption of nectar by all types of forager honey bees per unit of the
same pesticide applied to the crop field. It is measured as
kg oral intake/kgapplied
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S-2. Honey bee ecology behind exposure to pesticide residues
There are different ways through which pollinating insects can be exposed to pesticides, whose
relevance generally depends on the life stage of the organisms.1 For honey bees foraging in field, the
most relevant exposure pathway is via oral ingestion of contaminated pollen, nectar and water.
Additionally forager bees can get in contact with pesticide residues dermal contact, e.g. when insects
fly in the field while spraying, although the use of some pesticide during the flying hours of pollinators
is normally forbidden by the regulations2,3. Also through contact with treated surfaces (e.g. contaminated
pollen, nectar, water and guttation fluids, which are collected both in- and off-field by insect pollinators
4,5) or through dust dispersed after seed treatments. Dermal contact can be external (e.g. via external
body surface contact) or internal (via contact with a secondary stomach, called “honey stomach”).
Pollen foragers and nectar foragers have different behaviors in-field and inside the hive, which causes
them to be exposed in different ways to pesticide residues.
Pollen foragers actively collect pollen. They use their mandibles or legs to move the anthers of the
flowers, allowing the pollen to stick to the hair that covers their body. Then, the bees clean themselves,
packing the pollen grains in form of balls, together with some nectar used as glue. The pollen balls,
called pollen load, are stored in the baskets made of specialized hairs on the hind legs. When the full
load is reached, the bees return to the hive, where the pollen is unloaded in cells.6 While, nectar foragers
use their tongues to suck the nectar out of the flowers, found in the nectarines which usually are at the
base of the flower, and store it in a secondary stomach, called “honey stomach”, which is separated from
the digestive stomach.7 As soon as the honey stomach is full, nectar foragers return to the hive and
transfer the nectar to the other non-foraging workers. Depending on the shape of the flower and on the
foragers’ attitude, nectar foragers may also get in contact with the anthers and pollen grains can stick to
their body hair. For example, honey bees that forage on oilseed rape plants can either push their tongues
between the petals “thieving” nectar from the side without contacting the anthers or enter directly the
front of the flowers getting in contact with pollen.8 Then, as pollen foragers do, nectar foragers pack
pollen in balls on the hint legs, to be then brought to the hive.9 Generally, nectar foragers return to the
hive due to a full nectar load before the pollen baskets are full.7
Notwithstanding honey bees’ efficiency in cleaning their body hair, some pollen grains can remain on
the bees’ bodies during foraging, enhancing crop pollination.9 For the sake of model simplicity, the
exposure of honey bees via these residues is considered negligible, as well as the exposure to the nectar
used for sticking pollen grains into the baskets.
Additionally, all forager honey bees collect nectar for self-consumption, since foraging and flying
activities are energy demanding tasks.
Both pollen and nectar foragers make the same number of trips to the flowers over a day (10 trip per
day on average)10, but pollen foragers spend less time in the field for getting a full pollen load. In fact,
pollen foragers make shorter trips (10 minutes per trip on average)11 since they travel shorter distances
S4
compared to nectar foragers (55 minutes per trip on average)10. Nectar foragers are in charge of more
energy- and time-demanding tasks, spending more time in the field for foraging.
Figure S1 describes what happens when forager bees come back to the hive.
Figure S1. Reception and arrangement of the food and energy supplies carried in the hive by the foragers bees,
adapted from (Seeley, 1995).
Generally, pollen foragers spend more time in the hive after unloading compared with nectar foragers,
which in turn spend more time in the hive from the arrival until the end of the unloading process. This
is mainly due to the fact that pollen foragers need less time to end the unloading because they do not
need to wait for a store bee, namely they go directly to the combs and unload the pollen in the empty
cells. However, it takes more time to them for preparing leaving the hive since they communicate with
other bees in order to receive information on the needs of the hive for pollen (trophallactic interactions).6
S-3. Impact characterization framework: full model description
As explained in the paper, the impact characterization framework has been developed to quantify the
in-field exposure of forager honey bees to pesticides and the related potential toxicological effects.
Additional preliminary CFs are calculated for in-hive bees exposure.
The framework provides characterization factors (CFs) for dermal and oral exposure, that summed up
together give the overall CF for a selected pesticide:
CF = sFforager 𝑖 × EFdermal + iFforager 𝑖 × EForal + iFhive × EForal Eq. S1
We calculated the CFs for three specific types of forager honey bees, namely pollen foragers (i=p),
nectar foragers (i=n) and nectar-pollen foragers (i=np), and the CF for hive bees as follows:
S5
Pollen foragers (p)
𝐂𝐅𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐩 = (𝐍𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝒑×𝐐𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐩,𝐩𝐨𝐥𝐥𝐞𝐧
𝐝𝐞𝐫𝐦𝐚𝐥 ×𝐟𝐫𝐀×∫ 𝐂𝐩𝐨𝐥𝐥𝐞𝐧,𝒙,𝒚 𝐝𝐭𝐭𝟏
𝐭𝟎
𝒎𝐚𝐩𝐩𝐥,𝒙,𝒚 ×
𝟎.𝟓
𝐋𝐃𝟓𝟎𝐝𝐞𝐫𝐦𝐚𝐥) +
(𝐍𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝒑×𝐐𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐩,𝐧𝐞𝐜𝐭𝐚𝐫
𝐨𝐫𝐚𝐥 ×∫ 𝐂𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚 𝐝𝐭𝐭𝟏
𝐭𝟎
𝒎𝐚𝐩𝐩𝐥,𝒙,𝒚×
𝟎.𝟓
𝐋𝐃𝟓𝟎𝐨𝐫𝐚𝐥) Eq.S2
with Qforager p,pollendermal = Mforager p,pollen × frforager p
Nectar foragers (n)
𝐂𝐅𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧 = (𝐍𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧×𝐐𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧,𝐧𝐞𝐜𝐭𝐚𝐫
𝐝𝐞𝐫𝐦𝐚𝐥 ×∫ 𝐂𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚 𝐝𝐭𝐭𝟏
𝐭𝟎
𝒎𝐚𝐩𝐩𝐥,𝒙,𝒚 ×
𝟎.𝟓
𝐋𝐃𝟓𝟎𝐝𝐞𝐫𝐦𝐚𝐥) +
(𝐍𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧×𝐐𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧,𝐧𝐞𝐜𝐭𝐚𝐫
𝐨𝐫𝐚𝐥 ×∫ 𝐂𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚 𝐝𝐭𝐭𝟏
𝐭𝟎
𝒎𝐚𝐩𝐩𝐥,𝒙,𝒚×
𝟎.𝟓
𝐋𝐃𝟓𝟎𝐨𝐫𝐚𝐥) Eq.S3
with Qforager n,nectardermal = Mforager n,nectar × frn
Nectar-pollen foragers (np, which represent a subset of nectar foragers)
𝐂𝐅𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧𝐩 = (𝐍𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧𝐩×𝐐𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧𝐩,𝐩𝐨𝐥𝐥𝐞𝐧
𝐝𝐞𝐫𝐦𝐚𝐥 ×𝐟𝐫𝐀×∫ 𝐂𝐩𝐨𝐥𝐥𝐞𝐧,𝒙,𝒚 𝐝𝐭𝐭𝟏
𝐭𝟎
𝒎𝐚𝐩𝐩𝐥,𝒙,𝒚 ×
𝟎.𝟓
𝐋𝐃𝟓𝟎𝐝𝐞𝐫𝐦𝐚𝐥) +
(𝐍𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧𝐩×𝐐𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧𝐩,𝐧𝐞𝐜𝐭𝐚𝐫
𝐝𝐞𝐫𝐦𝐚𝐥 ×∫ 𝐂𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚 𝐝𝐭𝐭𝟏
𝐭𝟎
𝒎𝐚𝐩𝐩𝐥,𝒙,𝒚 ×
𝟎.𝟓
𝐋𝐃𝟓𝟎𝐝𝐞𝐫𝐦𝐚𝐥) + (𝐍𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧𝐩×𝐐𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝐧,𝐧𝐞𝐜𝐭𝐚𝐫
𝐨𝐫𝐚𝐥 ×∫ 𝐂𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚 𝐝𝐭𝐭𝟏
𝐭𝟎
𝒎𝐚𝐩𝐩𝐥,𝒙,𝒚×
𝟎.𝟓
𝐋𝐃𝟓𝟎𝐨𝐫𝐚𝐥) Eq.S4
with Qforager np,pollendermal = Mforager np,pollen × frforager n
and Qforager np,nectardermal = Mforager np,nectar × frforager n
Hive bees
𝐢𝐅𝐡𝐢𝐯𝐞 =∑ 𝐍𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝒊×𝑴𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝒊,𝐧𝐞𝐜𝐭𝐚𝐫×∫ 𝐂𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚𝐝𝐭
𝒕𝟏𝒕𝟎
𝒊=𝐧,𝐧𝐩
𝒎𝐚𝐩𝐩𝐥,𝒙,𝒚+
∑ 𝐍𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝒊×𝑴𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝒊,𝐩𝐨𝐥𝐥𝐞𝐧×∫ 𝐂𝐩𝐨𝐥𝐥𝐞𝐧,𝒙,𝒚𝐝𝐭𝒕𝟏
𝒕𝟎𝒊=𝐩,𝐧𝐩
𝒎𝐚𝐩𝐩𝐥,𝒙,𝒚
Eq.S5
where:
− Nforager 𝑖 [bees/ha] is the average density of the specific type of honey bee forager (i = p, n, np)
on field;
− Mforager 𝑖,j [kgcontact/bee – d] is the daily load of pollen or nectar (j) carried by each specific type
of honey bee forager (i);
− frforager 𝑖 [d/d] represents the fraction of time over a day during which a specific type of forager
honey bee i is exposed to pesticide residues;
S6
− frA [-] is the fraction of forager bees' external body surface area exposed to pesticide residues in
pollen;
− Qforager 𝑖,nectaroral [kg/bee – d] is the daily nectar consumption rate of each specific type of forager
honey bee (i);
− ∫ C dt𝑡1
𝑡0[kg – d/kg pollen or nectar] is the residual concentration of pesticide x in nectar or pollen of
crop species y within the flowering period, integrated over the entire exposure and flowering
period, t0 being either the start of the flowering period or the time of application if the flowering
period has already started, and t1 the end of the flowering period;
− mappl,x,y [kgapplied/ha] is the applied mass of pesticide x to crop species y;
− LD50 [kg/bee] is the amount of a certain pesticide taken up (via dermal exposure) or in (via oral
exposure) by an exposed honey bee population, that affects 50% of the exposed bee population
over background terms of lethal effects.
S-3.1 Calculating parameter Nforager i
The average density of bees per each forager type is derived as the product of the fraction of the hive
density in the field, the average hive population, the fraction of foragers out of a colony and the fraction
of the specific honey bee forager type (namely i = p, n, np, as explained above).
Table S2. Numerical values used for building the model with regard to the main scenario-independent, constant
parameter Nforager i. When available in literature, the range of variation is reported.
Parameter description and related sources Unit Value Range of variation
Number of hives per hectare recommended for
oilseed rape crop fields 8,12 * hives/ha 3 2 to 4
Number of bees per hive during the spring/summer
period 13 bees/hive 18,500 7,000 to 30,000*
Fraction of forager honey bees, out of the total
population of honey bees in an average hive 14 - 0.26 -
Fraction of honey bee pollen foragers (p), out of the
total forager population in an average hive 15 - 0.25 -
Fraction of honey bee nectar foragers without pollen
contact (n), out of the total forager population in an
average hive 15
- 0.58 -
Fraction of honey bee nectar foragers potentially in
contact with pollen (np), out of the total forager
population in an average hive 15
- 0.12 -
Fraction of other honey bee foragers (e.g. water
collectors), out of the total forager population in an
average hive 15
- 0.05 -
* This parameters may depend on the specific case study, namely on the geographical location of the hive (e.g.
Northern or Southern Europe), on the crop species and, for managed honey bees, on recommended beekeepers’
practice. The value herein reported is referred to oilseed rape (Brassica napus) in central/northern Europe.
S7
S-3.2 Calculating parameter dermal Qforager i, j
The quantity of pollen or nectar per day that is in dermal contact with the skin or honey sack of forager
bees (i = p, n, np) is obtained as the product of the daily load of pollen or nectar of each specific honey
bee forager (i.e. Mi) by the daily exposure time fractions for pollen and nectar foragers (i.e. frforager i).
Calculating parameter Mforager i, j
The daily load of pollen or nectar carried by each specific type of honey bee forager (i = p, n, np) is
obtained as the product of the load of pollen or nectar load carried during each trip to the hive and the
average number of trips per day done by the forager bees.
Table S3. Numerical values used for building the model with regard to the main scenario-independent, constant
parameter Mforager i,i. When available in literature, the range of variation is reported
Parameter description and related sources Unit Value Range of variation
Average pollen load per trip carried by an
individual pollen forager (p) 13,16
kgdermal
contact/(bee×trip) 2.00×10-5 1×10-5 to 3×10-5
Average pollen load per trip carried by an
individual nectar forager in contact with
pollen (np) 13,16
kgdermal
contact/(bee×trip) 1.00×10-5 (minimum value)
Average nectar load per trip carried by an
individual nectar forager without pollen
contact (n) 13,16
kgdermal
contact/(bee×trip) 3.25×10-5 2.5×10-5 to 4×10-5
Average number of trips per day for both
honey bee pollen and nectar foragers 10,17 trips/d 10 5-15
Calculating parameter frforager i
The daily exposure time fractions for pollen foragers and nectar foragers are calculated as fraction of
time over a day that an individual honey bee spends (a) collecting, actively or not, pollen and nectar in
the crop field, (b) flying back into the nest and (c) unloading:
Generally, pollen foragers spend more time in the hive after unloading compared with nectar foragers,
which in turn spend more time in the hive from the arrival until the end of the unloading process. This
is mainly due to the fact, that pollen foragers need less time to end the unloading because they do not
need to wait for a store bee, namely they go directly to the combs and unload the pollen in the empty
cells. However, it takes more time to them for preparing leaving the hive since they communicate with
other bees in order to receive information on the needs of the hive for pollen (trophallactic interactions).6
Additionally, both nectar and pollen foragers make the same number of trips to the flowers over a day,
but pollen foragers spend less time in the field for getting a full pollen load. In fact, pollen foragers make
shorter trips since they travel shorter distances compared to nectar foragers.10 Nectar foragers are in
charge of more energy- and time-demanding tasks, spending more time in the field for foraging. The
S8
estimate of the fractions of time spent inside versus outside the hive are based on the study of Seeley.18
According to this, we assume that nectar foragers behave as the foragers, which fly long distances from
the hive, i.e. to a far feeder; while pollen foragers behave as the foragers flying shorter distances, i.e. to
a near feeder. The fraction of time spent flying back to the nest is principally based on the speed that a
honey bee can reach while it is loaded with food,19 whereas the fraction of unloading time is calculated
according to in-field data from several ecological studies.6,20,21
Table S4. Numerical values used for building the model with regard to the main scenario-independent, constant
parameter frforager i for pollen foragers (i=p). When available in literature, the range of variation is reported.
Parameter description and related sources Unit Value Range of
variation*
Average time per round trip 11 min/d 20 10 to 30
Fraction of time outside the hive, out of the total
round trip time 18 % 59(a) 58 to 60%
Fraction of time spent flying, out of the time spent
outside the hive 18 % 35(b) 34 to 36%
Fraction of time flying out (i.e. from the hive to the
food source), out of the total time spent flying while
outside the hive 19
% 13.5(c) 12.8 to 13.8%
Fraction of time flying in (i.e. from the food source
back to the hive), out of the total time spent flying
while outside the hive 19
% 21.5(d) 21.2 to 22.2%
Fraction of time spent foraging at the food source, out
of the time spent outside the hive 18 % 24.1(e) 23.8 to 24.8%
Fraction of time spent inside the hive, out of the total
round trip time 18 % 41(f) 40 to 42%
Fraction of time exposed in the hive (i.e. from the
arrival to the end of the unloading process), out of the
total time spent in the hive 20
% 13(g) 11 to 16%
Fraction of time spent in other activities after the end
on the unloading process, out of the total time spent
in the hive 20
% 28(h) 26 to 29%
fr𝑖=p d/d 0.08(i) 0.03 to 0.09
S9
* calculated by considering the minimum and maximum value or fraction for each parameter.
(a) Calculated as average of the ratios between the time spent outside the hive and the time of a round
trip for near-feeder cases, as (143s/246s + 133s/223s)/2
(b) Calculated as average of the ratios between the total time spent flying and the time spent outside the
hive for near-feeder cases, multiplied by the percentage obtained from (a), as (82s/143s +
80s/133s)×59%
(c) According to Kacelnik et al.,19 the speed of a unloaded honey bee is 8 m/s, while the flying speed
linearly decreases at 5 m/s when the honey bee is loaded with 36 mg of sugar solution. We assume that
a honey bee carrying a full load of pollen has the same speed, as confirmed by a beekeepers’
association.22 Assuming a unit distance food-hive (1 m/trip), we calculate the time per trip that takes a
honey bee when unloaded (0.13 s/trip, i.e. 38% out of the total time spent flying) and loaded (0.20 s/trip,
i.e. 62% out of the total time spent flying). Therefore, the fraction of time flying out with respect to the
time spent outside the hive is derived as 38% multiplied by 35% (i.e. the fraction obtained from (b))
(d) According to (c), the fraction of time flying in is derived as 62% multiplied by 35% (i.e. the fraction
obtained from (b))
(e) Calculated as (a) – (b), i.e. 59%-35%
(f) Calculated as difference between 100% (i.e. fraction of a total round trip) and 59% (i.e. fraction
obtained from (a), referred to the fraction of time spent outside the hive out of a total round trip)
(g) Calculated as average of the ratios between the time spent from the arrival at the hive up to the end
of the unloading process and the total time spent in the hive for each case reported, as (80s/290.9s +
109.7s/316.2s + 89.9s/247.3s + 139.6s/375.5s + 100.6s/362.6s + 86.3s/278.3s)/6=32%. This fraction is
confirmed also in the study by Seeley.6 Then, the fraction of exposure time in the hive out of the total
time spent in the hive is derived as 32% multiplied by 41% (i.e. the fraction obtained from (f), which is
the fraction of time spent inside the hive, out of the total round trip time).
(h) According to (g), the fraction of time spent in other activities after the end on the unloading process
is derived as (1-32%) multiplied by 41% (i.e. the fraction obtained from (f), which is the fraction of time
spent inside the hive, out of the total round trip time)
(i) Calculated as [20 min/trip × 10 trip/d × (21% + 24% + 13%)]/1440 min/d
Table S5. Numerical values used for building the model with regard to the main scenario-independent, constant
parameter frforager i for nectar foragers, both with and without pollen contact (i = n, np). When available in
literature, the range of variation is reported.
Parameter description and related sources Unit Value Range of
variation*
Average time per round trip 10 min×d-1 55 30 to 80
S10
Parameter description and related sources Unit Value Range of
variation*
Fraction of time outside the hive, out of the total
round trip time 18 % 66(a) 65 to 67%
Fraction of time spent flying, out of the time spent
outside the hive 18 % 41(b) 39 to 42%
Fraction of time flying out (i.e. from the hive to the
food source), out of the total time spent flying while
outside the hive 19
% 15.9(c) 15.8 to 16%
Fraction of time flying in (i.e. from the food source
back to the hive), out of the total time spent flying
while outside the hive 19
% 25.1(d) 23.2 to 26
Fraction of time spent foraging at the food source, out
of the time spent outside the hive 18 % 25(e) 25 to 26%
Fraction of time spent inside the hive, out of the total
round trip time 18 % 34(f) 33 to 35%
Fraction of time exposed in the hive (i.e. from the
arrival to the end of the unloading process), out of the
total time spent in the hive 21
% 22(g) 19 to 25%
Fraction of time spent in other activities after the end
on the unload process, out of the total time spent in
the hive 21
% 12(h) 9 to 15%
fr𝑖=n,np d/d 0.28(i) 0.15-0.39
* calculated by considering the minimum and maximum value or fraction for each parameter.
(a) Calculated as average of the ratios between the time spent outside the hive and the time of a round
trip for far-feeder cases, as (294s/440s + 233s/359s)/2
(b) Calculated as average of the ratios between the total time spent flying and the time spent outside the
hive for far-feeder cases, multiplied by the percentage obtained from (a), as (184s/294s +
140s/233s)×66%
(c) According to Kacelnik et al.,19 the speed of a unloaded honey bee is 8 m/s, while the flying speed
linearly decreases at 5 m/s when the honey bee is loaded with 36 mg of sugar solution. We assume that
a honey bee carrying a full load of nectar has the same speed, as confirmed by a beekeepers’
association.22 Assuming a unit distance food-hive (1 m/trip), we calculate the time per trip that takes a
S11
honey bee when unloaded (0.13 s/trip; 38% out of the total time spent flying) and loaded (0.20 s/trip,
i.e. 62% out of the total time spent flying). Therefore, the fraction of time flying out with respect to the
time spent outside the hive is derived as 38% multiplied by 41% (i.e. the fraction obtained from (b))
(d) According to (c), the fraction of time flying in is derived as 62% multiplied by 41% (i.e. the fraction
obtained from (b))
(e) Calculated as (a) – (b), i.e. 66%-41%
(f) Calculated as difference between 100% (i.e. fraction of a total round trip) and 66% (i.e. fraction
obtained from (a), referred to the fraction of time spent outside the hive out of a total round trip)
(g) Calculated as average of the ratios between the time spent from the arrival at the hive up to the end
of the unloading process and the total time spent in the hive for each case reported, as (68s/91s + 50s/70s
+ 46s/68s + 64s/115s)/4=66%. Then, the fraction of exposure time in the hive out of the total time spent
in the hive is derived as 66% multiplied by 34% (i.e. the fraction obtained from (f), which is the fraction
of time spent inside the hive, out of the total round trip time)
(h) According to (g), the fraction of time spent in other activities after the end on the unloading process
is derived as (1-66%) multiplied by 34% (i.e. the fraction obtained from (f), which is the fraction of time
spent inside the hive, out of the total round trip time)
(i) Calculated as [55 min/trip × 10 trip/d × (25% + 25% + 22%)]/1440 min/d
S-3.3 Calculating parameter frA
The parameter fr𝐴 defines the body surface area of a forager honey bee that is exposed to pesticide
residues in pollen. It applies to pollen and nectar-pollen foragers. The parameter fr𝐴 derives from the
ratio between the mean apparent exposure surface area and the mean total physical surface area, as
defined by Poquet et al. (2014).23
Parameter description Unit Value Range of variation*
Mean apparent exposure surface area cm2/beee 1.056 0.726 to 1.386
Mean total physical surface area cm2/bee 3.276 3.046 to 3.506
S-3.4 Calculating parameter oral Qforager i, nectar
The daily nectar consumption rate for both pollen and nectar foragers (i=p, n, np) is directly derived
from USEPA Guidance for Assessing Pesticide Risks to Bees. 24
Table S6. Numerical values for scenario-independent, constant parameter 𝐐𝐟𝐨𝐫𝐚𝐠𝐞𝐫 𝒊,𝐧𝐞𝐜𝐭𝐚𝐫𝐨𝐫𝐚𝐥 used in the model,
referred to nectar consumption.
Parameter description
and related sources Unit Value Range of variation
Daily nectar consumption rate of pollen
foragers (i=p)24 kg intake/(bee×d) 4.35×10-5 3.5×10-5 to 5.2×10-5
S12
Parameter description
and related sources Unit Value Range of variation
Daily nectar consumption rate of nectar
foragers (both with and without pollen
contact) (i=n, np)10,24,25
kg intake/(bee×d) 2.92×10-4 2.13×10-4 to 4.28×10-4 *
* Nectar foragers consume 32–128.4 mg of sugar per day. Depending on its floral origin, nectar may
contain between 5–80% of sugar. Assuming 30% content of sugar in oilseed rape flower (30g of sugar
into 100ml of nectar, according to Pierre et al. (1999)26), we calculated the maximum daily nectar
consumption rate of nectar foragers as ratio between the maximum amount of sugar consumed per day
(128 mg) and the fraction of sugar in oilseed rape nectar.
S-3.5 Parameter C and mappl for the pesticides selected in the case study
The final concentration of pesticides in pollen and nectar mainly depends on the duration of the
flowering period of the crop species on which the pesticide is applied (
In fact, under the assumption of first-order kinetics, the dissipation of the pesticide is expressed as:
𝐂𝒋,𝒙,𝒚(𝐭) = 𝐂𝒋,𝒙,𝒚(𝐭𝟎) × 𝒆(−𝐤𝒋,𝒙,𝒚×𝐭) Eq.S8
where Cj,𝑥,𝑦(t0) [kg/kg] is the initial concentration of pesticide x in pollen or nectar (j) of crop y, and
kj,x,y [d-1] represents the first-order rate constant for the exponential dissipation of the pesticide in pollen
and nectar over time. The initial concentration of pesticide in pollen and nectar is based on empirically
measured data. To calculate kj,x,y, we retrieved information from studies reporting measurements of the
residual concentration (kg/kg) in pollen and nectar at different times after pesticide application, which
is the mass of a residual pesticide per mass of a collected pollen or nectar sample measured. We
estimated kj,x,y in pollen and nectar separately, by the linear least-square regression of Eq.S8:
ln[C𝑗,𝑥,𝑦(t)] = ln[C𝑗,𝑥,𝑦(t0)] − k𝑗,𝑥,𝑦 ×t Eq.S9
thus, k𝑗,𝑥,𝑦 [d-1] graphically represents the slope of the line fitting the experimental residual pesticide
data in pollen/nectar. Finally, solving the integral, we obtain:
∫ C𝑗,𝑥,𝑦t1
t0dt =
Cj,𝑥,𝑦(t0)
k𝑗,𝑥,𝑦× e−k𝑗,𝑥,𝑦×t0 − e − k𝑗,𝑥,𝑦×t1 Eq.S10
Table S7) and the intrinsic physic-chemical properties of the pesticide, which determine the persistence
of the pesticide residue in the environmental compartments (Table S8).
In general, the integral mean values of the residual concentration of a certain pesticide x in nectar and
in pollen of a certain crop species y within the flowering period are calculated respectively as:
S13
∫ 𝐂𝐩𝐨𝐥𝐥𝐞𝐧,𝒙,𝒚 𝐝𝐭𝐭𝟏
𝐭𝟎=
𝐂𝐩𝐨𝐥𝐥𝐞𝐧,𝒙,𝒚(𝐭𝟎)
𝐤× [𝐞−𝐤𝐩𝐨𝐥𝐥𝐞𝐧,𝒙,𝒚×𝐭𝟎 − 𝐞−𝐤𝐩𝐨𝐥𝐥𝐞𝐧,𝒙,𝒚×𝐭𝟏] Eq.S6
∫ 𝐂𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚 𝐝𝐭𝐭𝟏
𝐭𝟎=
𝐂𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚(𝐭𝟎)
𝐤× [𝐞−𝐤𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚×𝐭𝟎 − 𝐞−𝐤𝐧𝐞𝐜𝐭𝐚𝐫,𝒙,𝒚×𝐭𝟏] Eq.S7
In fact, under the assumption of first-order kinetics, the dissipation of the pesticide is expressed as:
𝐂𝒋,𝒙,𝒚(𝐭) = 𝐂𝒋,𝒙,𝒚(𝐭𝟎) × 𝒆(−𝐤𝒋,𝒙,𝒚×𝐭) Eq.S8
where Cj,𝑥,𝑦(t0) [kg/kg] is the initial concentration of pesticide x in pollen or nectar (j) of crop y, and
kj,x,y [d-1] represents the first-order rate constant for the exponential dissipation of the pesticide in pollen
and nectar over time. The initial concentration of pesticide in pollen and nectar is based on empirically
measured data. To calculate kj,x,y, we retrieved information from studies reporting measurements of the
residual concentration (kg/kg) in pollen and nectar at different times after pesticide application, which
is the mass of a residual pesticide per mass of a collected pollen or nectar sample measured. We
estimated kj,x,y in pollen and nectar separately, by the linear least-square regression of Eq.S8:
ln[C𝑗,𝑥,𝑦(t)] = ln[C𝑗,𝑥,𝑦(t0)] − k𝑗,𝑥,𝑦 × t Eq.S9
thus, k𝑗,𝑥,𝑦 [d-1] graphically represents the slope of the line fitting the experimental residual pesticide
data in pollen/nectar. Finally, solving the integral, we obtain:
∫ C𝑗,𝑥,𝑦t1
t0dt =
Cj,𝑥,𝑦(t0)
k𝑗,𝑥,𝑦× [e−k𝑗,𝑥,𝑦×t0 − e−k𝑗,𝑥,𝑦×t1] Eq.S10
Table S7. Average duration of the flowering period for oilseed rape (Brassica napus) in Europe, based on Klein
et al.27
Crop Location Average start
flowering period
(Julian day)
Average end
flowering period
(Julian day)
Average
duration
flowering period
Duration
uncertainty
range
oilseed rape Europe 134 (t0) 159 (t1) 24 days 8 to 32 days
Table S8. Numerical values used for quantifying the concentration of pesticides in either pollen or nectar over
the flowering period, based on empirical residual data. Variability is reported in brackets. Data come from the
references reported close to the name of each pesticide, unless otherwise specified.
Parameter descriptions Boscalid28 Lambda-cyhalothrin29
CAS number 188425-85-6 91465-08-6
S14
Parameter descriptions Boscalid28 Lambda-cyhalothrin29
Pesticide class Fungicide/Carboxamide Insecticide/Pyrethroid
Mass of pesticide applied [kg applied/ha] 0.250 * 0.0075 **
kpollen, i.e. the dissipation rate in pollen [d-1] 0.25 (a)
(0.21 to 0.30) (b) 1.33 (a)
(1.13 to 1.58) (b)
Cpollen(𝑡0), i.e. the initial concentration in
pollen [kg in pollen /kg pollen]
1.39×10-5
(3×10-6 to 2.62×10-5)
1.59×10-6 (c)
(1.54×10-6 to 1.64×10-6)(d)
knectar, i.e. the dissipation rate in nectar [d-1] 0.43 (a)
(0.36 to 0.51) (b) 1.33 (a)
(1.13 to 1.58) (b)
Cnectar(𝑡0), i.e. the initial concentration in
nectar [kg in nectar /kg nectar]
1.43×10-6
(2.50×10-8 to 1.60×10-6) 7.93×10-7 (e)
(7.67×10-7 to 8.73×10-7) (f)
* 50 g a.i./100 g product × 500 g product/ha =250 g a.i./ha = 0.250 kg/ha
**100 g a.i./L product × 0.075 L product /ha = 7.5 g/ha = 0.0075 kg/ha
(a) Dissipation rate of the selected pesticide in pollen or nectar, calculated as ratio between ln(2) and
the residues half-life in pollen or nectar of mustard (Brassica juncea), used as proxy for oilseed rape
(Brassica napus).
(b) Choudhary and Sharma (2008)29 report for different pesticide half-life in nectar and pollen between
a factor of 1.1 and 1.4 variability for the same pesticide. We derived minimum and maximum values
of the dissipation rate of the selected pesticide in pollen or nectar by applying a factor 1.4 to the
residues half-life in pollen or nectar of mustard (Brassica juncea), used as proxy for oilseed rape
(Brassica napus).
(c) Initial concentration in pollen of mustard (Brassica juncea), used as proxy for oilseed rape
(Brassica napus), measured at the application day. This value is calculated as average between the
average residual concentrations in pollen measured at the application day during the following seasons
2003-2004 (1.577×10-6 kgin pollen/kgpollen) and 2004-2005 (1.607×10-6 kgin pollen/kgpollen).29
(d) Minimum and maximum initial concentrations in pollen are calculated as average between the
residual concentration in pollen measured at the application day by respectively bioassay and chemical
assay methods, during the following seasons 2003-2004 (bioassay: 1.542×10-6 kgin pollen/kgpollen;
chemical assay: 1.672×10-6 kgin pollen/kgpollen) and 2004-2005 (bioassay: 1.542×10-6 kgin pollen/kgpollen;
chemical assay: 1.612×10-6 kgin pollen/kgpollen).29
(e) Initial concentration in nectar of mustard (Brassica juncea), used as proxy for oilseed rape
(Brassica napus), measured at the application day. This value is calculated as average between the
average residual concentrations in nectar measured at the application day during the following seasons
2003-2004 (8.58×10-7 kgin nectar/kgnectar) and 2004-2005 (7.28×10-7 kgin nectar/kgnectar).29
S15
(f) Minimum and maximum initial concentrations in nectar are calculated as average between the
residual concentration in nectar measured at the application day by respectively bioassay and chemical
assay methods, during the following seasons 2003-2004 (bioassay: 8.06×10-7 kgin nectar/kgnectar; chemical
assay: 9.09×10-7 kgin nectar/kgnectar) and 2004-2005 (bioassay: 7.27×10-7 kgin nectar/kgnectar; chemical assay:
8.06×10-7 kgin nectar/kgnectar).29
S-3.6 Additional analysis on pesticide residues
Before selecting specific pesticides for the case study, we performed additional analysis on pesticide
residues data to better understand how pesticides accumulate in pollen and nectar, and to find a possible
relation between these two environmental compartments.
Firstly, we studied the possible interdependence between pesticide residues in pollen and in nectar, to
verify if one of these environmental compartments could be used as a proxy for the other, thus
addressing only one exposure compartment. We retrieved data (both average value or temporal series)
of residues in both pollen and nectar of 12 pesticides applied on four different crop species relevant
for honey bees (Table S9). We observed a good correlation (R2=0.6875, see Figure S2). However,
considering the different crops species and pesticides separately (Figure S3.), the correlation values
significantly change from R2=0.0006 in imidacloprid residues found in squash (Cucurbita pepo) to
R2=1 in e.g., thiacloprid residues found in oilseed rape (Brassica napus). This very wide variation does
not make it possible to use one compartment as a proxy for the other.
Table S9. Pesticide residues, measured in log scale, in pollen and nectar of four crop species relevant for honey
bees.
Crop species
relevant for bees
(common name)
Crop species
relevant for bees
(scientific name)
Pesticide
residues
in pollen
[log ppb]
residues
in nectar
[log ppb]
Ref.
oilseed rape Brassica napus imidacloprid 0.88 -0.09 30
oilseed rape Brassica napus imidacloprid 0.64 -0.22 30
squash Cucurbita pepo imidacloprid 1.17 1.01 31
squash Cucurbita pepo imidacloprid 1.26 0.79 32
squash Cucurbita pepo imidacloprid 1.50 0.96 32
sunflower Helianthus annuus imidacloprid 0.59 0.28 33
mustard Brassica juncea lambda-cyhalothrin 3.22 2.96 29
mustard Brassica juncea lambda-cyhalothrin 3.10 2.84 29
mustard Brassica juncea lambda-cyhalothrin 3.01 2.75 29
mustard Brassica juncea lambda-cyhalothrin 2.91 2.66 29
mustard Brassica juncea lambda-cyhalothrin 2.64 2.43 29
mustard Brassica juncea lambda-cyhalothrin 2.29 2.21 29
mustard Brassica juncea lambda-cyhalothrin 1.63 1.08 29
mustard Brassica juncea lambda-cyhalothrin 3.19 2.92 29
mustard Brassica juncea lambda-cyhalothrin 3.03 2.82 29
mustard Brassica juncea lambda-cyhalothrin 2.94 2.73 29
mustard Brassica juncea lambda-cyhalothrin 2.84 2.65 29
mustard Brassica juncea lambda-cyhalothrin 2.55 2.40 29
mustard Brassica juncea lambda-cyhalothrin 2.55 2.13 29
S16
Crop species
relevant for bees
(common name)
Crop species
relevant for bees
(scientific name)
Pesticide
residues
in pollen
[log ppb]
residues
in nectar
[log ppb]
Ref.
mustard Brassica juncea lambda-cyhalothrin 2.18 0.60 29
oilseed rape Brassica napus clothianidin 0.30 0.00 34,35
oilseed rape Brassica napus clothianidin 0.40 0.73 34
oilseed rape Brassica napus clothianidin 0.60 0.34 34
oilseed rape Brassica napus clothianidin 0.61 0.93 35
oilseed rape Brassica napus clothianidin -0.22 0.41 36
oilseed rape Brassica napus clothianidin 0.35 0.41 37
oilseed rape Brassica napus clothianidin 0.26 0.46 38
oilseed rape Brassica napus clothianidin 0.22 0.12 39
oilseed rape Brassica napus clothianidin -0.30 -0.17 39
oilseed rape Brassica napus clothianidin -0.01 -0.11 39
oilseed rape Brassica napus clothianidin 0.54 0.56 39
oilseed rape Brassica napus clothianidin 0.43 0.20 40
oilseed rape Brassica napus thiamethoxam 0.60 0.15 34
oilseed rape Brassica napus thiamethoxam 0.78 0.66 34
oilseed rape Brassica napus thiamethoxam 0.82 0.73 36
oilseed rape Brassica napus thiamethoxam -0.22 0.43 36
oilseed rape Brassica napus thiamethoxam 0.54 0.38 41
squash Cucurbita pepo thiamethoxam 1.11 1.06 31
squash Cucurbita pepo thiamethoxam 1.39 1.03 32
squash Cucurbita pepo thiamethoxam 1.40 0.63 32
oilseed rape Brassica napus acetamiprid 1.02 0.88 36
oilseed rape Brassica napus deltamethrin 1.67 1.08 42
oilseed rape Brassica napus deltamethrin 2.78 1.28 42
oilseed rape Brassica napus boscalid 4.14 3.16 28
oilseed rape Brassica napus boscalid 4.42 2.11 28
oilseed rape Brassica napus boscalid 3.67 1.23 28
oilseed rape Brassica napus boscalid 3.48 1.40 28
oilseed rape Brassica napus thiacloprid 1.91 -0.05 36
oilseed rape Brassica napus thiacloprid 0.49 1.82 36
alfalfa Medicago sativa oxydemeton-methyl 3.13 4.34 43
alfalfa Medicago sativa oxydemeton-methyl 3.27 4.31 43
alfalfa Medicago sativa oxydemeton-methyl 3.17 3.19 43
mustard Brassica juncea spiromesifen 3.32 3.16 29
mustard Brassica juncea spiromesifen 3.16 3.05 29
mustard Brassica juncea spiromesifen 3.06 2.90 29
mustard Brassica juncea spiromesifen 2.98 2.85 29
mustard Brassica juncea spiromesifen 2.86 2.71 29
mustard Brassica juncea spiromesifen 2.50 2.41 29
mustard Brassica juncea spiromesifen 0.30 1.97 29
mustard Brassica juncea spiromesifen 3.26 3.15 29
mustard Brassica juncea spiromesifen 3.09 3.00 29
mustard Brassica juncea spiromesifen 3.02 2.89 29
mustard Brassica juncea spiromesifen 2.95 2.77 29
mustard Brassica juncea spiromesifen 2.77 2.69 29
mustard Brassica juncea spiromesifen 2.47 2.35 29
mustard Brassica juncea spiromesifen 0.60 1.92 29
mustard Brassica juncea endosulfan I (alpha) 3.14 3.04 29
mustard Brassica juncea endosulfan I (alpha) 2.99 2.97 29
mustard Brassica juncea endosulfan I (alpha) 2.89 2.92 29
S17
Crop species
relevant for bees
(common name)
Crop species
relevant for bees
(scientific name)
Pesticide
residues
in pollen
[log ppb]
residues
in nectar
[log ppb]
Ref.
mustard Brassica juncea endosulfan I (alpha) 2.74 2.85 29
mustard Brassica juncea endosulfan I (alpha) 2.67 2.76 29
mustard Brassica juncea endosulfan I (alpha) 2.39 2.65 29
mustard Brassica juncea endosulfan I (alpha) 1.92 2.32 29
mustard Brassica juncea endosulfan I (alpha) 3.13 2.98 29
mustard Brassica juncea endosulfan I (alpha) 2.94 2.97 29
mustard Brassica juncea endosulfan I (alpha) 2.83 2.88 29
mustard Brassica juncea endosulfan I (alpha) 2.69 2.79 29
mustard Brassica juncea endosulfan I (alpha) 2.57 2.73 29
mustard Brassica juncea endosulfan I (alpha) 2.29 2.56 29
mustard Brassica juncea endosulfan I (alpha) 1.77 2.24 29
mustard Brassica juncea endosulfan II (beta) 2.92 2.86 29
mustard Brassica juncea endosulfan II (beta) 2.76 2.79 29
mustard Brassica juncea endosulfan II (beta) 2.66 2.71 29
mustard Brassica juncea endosulfan II (beta) 2.53 2.95 29
mustard Brassica juncea endosulfan II (beta) 2.45 2.53 29
mustard Brassica juncea endosulfan II (beta) 2.18 2.43 29
mustard Brassica juncea endosulfan II (beta) 1.62 2.03 29
mustard Brassica juncea endosulfan II (beta) 2.90 2.98 29
mustard Brassica juncea endosulfan II (beta) 2.73 2.97 29
mustard Brassica juncea endosulfan II (beta) 2.62 2.88 29
mustard Brassica juncea endosulfan II (beta) 2.48 2.79 29
mustard Brassica juncea endosulfan II (beta) 2.35 2.73 29
mustard Brassica juncea endosulfan II (beta) 2.05 2.56 29
mustard Brassica juncea endosulfan II (beta) 1.58 2.24 29
Figure S2. Correlation between residues of 12 pesticides in pollen and nectar of four relevant crops for honey
bees.
S18
Figure S3. Correlation between residues of 12 pesticides in pollen and nectar of four relevant crops for honey
bees, aggregated by crop species and pesticide.
In the specific case of neonicotinoid insecticides, we also investigated the potential interdependence
between pesticide residues in pollen and nectar with residues in leaves to see if leaves could be used as
a proxy for either pollen or nectar (Table S10). In fact, neonicotinoids have systemic properties, namely
they are taken up through roots and leaves and translocated into other crop components.
Table S10. Residues, in log scale, of some neonicotinoids in leaves, pollen and nectar of three crop species relevant
for honey bees.
Crop species
relevant for bees
(common name)
Crop species
relevant for bees
(scientific name)
Pesticide
residues
in leaves
[log ppb]
residues
in pollen
[log ppb]
residues
in nectar
[log ppb]
Ref.
squash Cucurbita pepo imidacloprid 1.36 1.26 0.79 32
squash Cucurbita pepo imidacloprid 1.60 1.50 0.96 32
sunflower Helianthus annuus imidacloprid 0.66 0.48 n.a. 30
oilseed rape Brassica napus clothianidin 0.46 0.28 n.a. 44
oilseed rape Brassica napus thiamethoxam 0.02 0.50 n.a. 44
squash Cucurbita pepo thiamethoxam 2.24 1.39 1.03 32
squash Cucurbita pepo thiamethoxam 2.15 1.40 0.63 32
S19
Figure S4. Correlation between residues of neonicotinoids in leaves and in pollen and nectar of three relevant
crops for honey bees.
We observed a high correlation between residues in leaves and pollen (R2 close to 1), while the
correlation between residues in leaves and nectar is very low (R2 close to 0). However, neonicotinoids
represent a specific group of insecticides with intrinsic properties, which cannot be used as a proxy for
other pesticides.
S-3.7 Parameter LD50 for the pesticides selected in the case study
The ecotoxicological endpoints used to derive the effect factors (EF), associated with both dermal and
oral exposure, were retrieved from the Pesticide Properties DataBase45 and from the publication by
Simon-Delco and colleagues. Figures are reported in Table S11, with related ranges of variability.
For lambda cyhalothrin, the same ecotoxicological endpoint values are used for forager and hive bees,
due to the lack of detailed and specific data for larvae, queen and other in-hive bees.
Table S11. Ecotoxicological endpoint for the selected pesticides.
Parameter descriptions and related source Boscalid Lambda-cyhalothrin
LD50 contact for worker bees [μg/bee] 200 45,46 *
(63 to 632) (a) 0.038 45,47 *
(0.0013 to 0.051) (b)
LD50 oral for worker bees [μg/bee] 760 48 **
(166 to 1660) (c) 0.91 45,47 *
(0.16 to 1.6) (d)
LD50 oral for hive bees [μg/larva] 75.19 49 §
(55.99 to 102.82) 49
0.91 45,47 §§
(0.16 to 1.6) (d)
* Acute value, obtained over 48h experimental test on adult worker honey bees, used as a proxy
** Chronic value, obtained over 25 days experimental test on adult worker honey bees § Chronic value, obtained over 22 days experimental test on honey bee larvae.
§§ Acute LD50 oral for worker bees has been used as a proxy for hive bees
S20
(a) According to Uhl et al. (2016)50, the sensitivity of different bee species toward a specific pesticide
vary around 1 order or magnitude, consistently with other studies for other species. Therefore, we
assumed a factor 10 variation around the mean value.
(b) The minimum value is taken from Johnson et al. (2006),51 as worst case LD50 value for worker
bees. The maximum value is from the National Pesticide Information Centre (2001).52
(c) The minimum value is taken from the Pesticide Properties Database45. The maximum value is
calculated by assuming a factor 10 variation around the mean value, as for (a).
(d) The minimum value is from the National Pesticide Information Centre (2001).52 The maximum
value is calculated by assuming a factor 10 variation around the mean value, as for (a).
S-4. Results of the illustrative case study
Table S12 reports the main results of the impact characterization framework for the specific types of
forager honey bees and hive bees, namely the dermal contact fractions, the oral intake fractions, the
effect factors associated with both dermal and oral exposure, and the characterization factors.
Table S12. Main results of the impact characterization framework
Parameter description Boscalid Lambda-
cyhalothrin
sFforager p , i.e. dermal contact (with pollen) for all pollen foragers
[kg dermal contact/kg applied] 4.07×10-6 2.95×10-6
sF forager n , i.e. dermal contact (with nectar) for all nectar foragers
[kg dermal contact/kg applied] 9.94×10-6 5.89×10-5
sFforager np , i.e. dermal contact (with pollen) for the fraction of
nectar foragers potentially in contact with pollen
[kg dermal contact/kg applied]
5.39×10-6 1.46×10-5
iFforager p , i.e. oral intake for all pollen foragers
[kg oral intake/kg applied] 2.06×10-6 1.22×10-5
iFforager n+np, i.e. oral intake for all nectar foragers
[kg oral intake/kg applied] 3.87×10-5 2.29×10-4
iFhive , i.e. oral intake for hive bees
[kg oral intake/kg applied] 2.36×10-4 3.95×10-4
EF dermal for all foragers [bee/kg dermal contact] 2.50×106 1.32×1010
EF oral for all foragers [bee/kg intake] 6.58×105 5.49×108
S21
Parameter description Boscalid Lambda-
cyhalothrin
EF oral for hive bees [bee/kg intake] 5.00×106 5.49×108
CF for pollen foragers (p) [bees affected/kg applied ] 11.5 4.55×104
CF for all nectar foragers (n + np) [bees affected/kg applied] 63.8 1.09×106
Overall CF for forager bees [bees affected/kg applied] 75.3 1.14×106
CF for hive bees [bees affected/kg applied] 1.18×103 2.17×105
Table S13 reports the impact scores (IS) that we estimated to better compare the impacts on forager
honey bees due to the application of the selected pesticides. IS, which quantify the fraction of bees
affected per application, are reported for both the pesticide selected in the case study.
Table S13. Impact scores (IS) associated with the selected pesticides and contribution of each impact pathway.
IS [beesaffected/ha] Boscalid Lambda-
cyhalothrin
Contribution from:
Dermal exposure of pollen foragers
sFp × EFdermal × mappl 3 (14%) 291 (3%)
Dermal exposure of nectar foragers
sFn × EFdermal × mappl 6 (33%) 5,816 (68%)
Dermal exposure of nectar-pollen foragers
sFnp × EFdermal × mappl 3 (18%) 1,441 (17%)
Oral exposure of pollen foragers
iFp × EForal × mappl <1 (2%) 50 (1%)
Oral exposure of nectar foragers without pollen
contact
iFn × EForal × mappl
5 (28%) 783 (9%)
Oral exposure of nectar foragers potentially in
contact with pollen
iFnp × EForal × mappl
1 (6%) 162 (2%)
Overall IS for foragers * 19 8,544
Oral exposure of hive bees
iFhive × EForal × mappl 39 1,628
S22
* Out of a population of 55000 honey bees in a bee hive, of which 13445 forager bees potentially exposed to
pesticide residues in pollen and nectar via dermal or ingestion exposure. Specifically, forager bees are 3538 pollen
foragers and 9907 nectar foragers, of which 1698 potentially in contact with pollen.
Table S14 reports the Potentially Affected Fractions (PAF) of forager honey bees following the
application of selected pesticide.
Table S14. Potentially affected fractions (PAF) of forager honey bees due to the application of the selected
pesticides and the contribution of each impact pathway referred to the related exposure type.
PAF [% bees affected,
out of related forager type] Boscalid Lambda-cyhalothrin
Dermal exposure of pollen foragers
(sFforager p × EFdermal × mappl) / Nforager p
0.07% 8.22%
Dermal exposure of nectar foragers
(sFforager n × EFdermal × mappl) / Nforager n 0.08% 70.86%
Dermal exposure of nectar-pollen foragers
(sFforager np × EFdermal × mappl) / Nforager np 0.20% 84.87%
Oral exposure of pollen foragers
(iFforager p × EForal × mappl) / Nforager p 0.01% 1.42%
Oral exposure of nectar foragers without
pollen contact
(iFforager n × EForal × mappl) / Nforager n
0.06% 9.54%
Oral exposure of nectar foragers with pollen
contact
(iFforager np × EForal × mappl) / Nforager np
0.06% 9.54%
Oral exposure of hive bees
(iFhive × EForal × mappl) / Nhive 0.09% 3.87%
S-5. Monte Carlo uncertainty analysis
As input data for our model vary within specific ranges, we conduct a Monte Carlo uncertainty
analysis, where we randomly varied model inputs in 100,000 realizations. We assumed uniform
distribution for each variable within a fixed range, defined by minimum and maximum values. Tables
S15 to S19 reports the average values calculated over the 100,000 realizations of the Monte Carlo
analysis, and minimum and maximum variability.
Table S15. Outputs of the Monte Carlo analysis for both dermal and oral exposure fractions for each honey bee
forager type: p = pollen foragers, n = nectar foragers without pollen contact, np = nectar foragers with pollen
contact; hive = in-hive bees.
S23
Pesticide Exposure fraction Model
output Average Min Max
Boscalid
sFp [kg dermal contact/kg applied] 4.07×10-6 4.73×10-6 3.14×10-8 8.41×10-5
sFn [kg dermal contact/kg applied] 9.94×10-6 6.11×10-6 1.43×10-8 7.52×10-5
sFnp [kg dermal contact/kg applied] 5.39×10-6 5.00×10-6 5.68×10-8 5.07×10-5
iFp [kg oral intake/kg applied] 2.06×10-6 1.18×10-6 9.76×10-9 5.98×10-6
iFn [kg oral intake/kg applied] 3.21×10-5 2.03×10-5 1.34×10-7 1.18×10-4
iFnp [kg oral intake/kg applied] 6.64×10-6 4.19×10-6 2.77×10-8 2.44×10-5
iFhive [kg oral intake/kg applied] 2.36×10-4 2.26×10-4 8.20×10-6 1.60×10-3
Lambda
cyhalothrin
sFp [kg dermal contact/kg applied] 2.95×10-6 3.35×10-6 6.40×10-8 3.59×10-5
sFn [kg dermal contact/kg applied] 5.89×10-5 6.60×10-5 2.07×10-6 5.04×10-4
sFnp [kg dermal contact/kg applied] 1.46×10-5 1.63×10-5 5.09×10-7 1.17×10-4
iFp [kg oral intake/kg applied] 1.22×10-5 1.28×10-5 2.50×10-6 3.75×10-5
iFn [kg oral intake/kg applied] 1.90×10-4 2.19×10-4 3.09×10-5 7.06×10-4
iFnp [kg oral intake/kg applied] 3.93×10-5 4.53×10-5 6.39×10-6 1.46×10-4
iFhive kg oral intake/kg applied] 3.95×10-4 4.10×10-4 4.24×10-5 1.66×10-3
Table S16. Outputs of the Monte Carlo analysis for both dermal and oral effect factors (EF).
Pesticide Effect factor
[bee/kg]
Model
output Average Min Max
Boscalid
EF dermal for foragers 2.50×106 2.02×106 7.91×105 7.91×106
EF oral for foragers 6.58×105 7.71×105 3.01×105 3.01×106
EF oral for hive bees 5.00×106 6.50×106 4.86×106 8.92×106
Lambda
cyhalothrin
EF dermal for foragers 1.32×1010 3.70×1010 9.80×109 3.91×1011
EF oral for foragers 5.49×108 7.99×108 3.13×108 3.13×109
EF oral for hive bees 5.49×108 7.99×108 3.13×108 3.13×109
Table S17. Outputs of the Monte Carlo analysis for characterization factors (CF), for both dermal and oral
exposure pathways for each honey bee forager type: p = pollen foragers, n = nectar foragers without pollen
contact, np = nectar foragers with pollen contact; hive = in-hive bees
Pesticide CF
[bees affected/kg applied ]
Model
output Average Min Max
Boscalid
CF p (dermal) 10.2 9.54 3.64×10-2 3.14×102
CF n (dermal) 24.9 12.32 1.16×10-2 3.48×102
CF np (dermal) 13.5 10.09 6.48×10-2 2.76×102
CF p (oral) 1.35 0.92 3.75×10-3 1.59×101
CF n (oral) 21.1 15.69 6.20×10-2 2.82×102
CF np (oral) 4.37 3.25 1.28×10-2 5.82×101
S24
Pesticide CF
[bees affected/kg applied ]
Model
output Average Min Max
CF hive (oral) 1.18×103 1.47×103 44.9 1.27×104
Lambda
cyhalothrin
CF p (dermal) 3.88×104 1.24×105 9.42×102 9.23×106
CF n (dermal) 7.76×105 2.44×106 2.75×104 1.07×108
CF np (dermal) 1.92×105 6.03×1015 6.82×103 2.62×107
CF p (oral) 6.71×103 1.03×104 8.48×102 1.03×105
CF n (oral) 1.04×105 1.75×105 1.25×104 1.82×106
CF np (oral) 2.16×104 3.62×104 2.60×103 3.77×105
CF hive (oral) 2.17×105 3.28×105 1.42×104 3.88×106
T
able S18. Outputs of the Monte Carlo analysis for impact scores (IS), for both dermal and oral exposure
pathways for each honey bee forager type: p = pollen foragers, n = nectar foragers without pollen contact, np =
nectar foragers with pollen contact; hive = in-hive bees
Pesticide IS
[beesaffected/ha]
Model
output Average Min Max
Boscalid
IS p (dermal) 2.55 2.39 3.64×10-3 78.51
IS n (dermal) 6.21 3.08 1.16×10-3 86.88
IS np (dermal) 3.37 2.52 6.48×10-2 69.05
IS p (oral) 0.34 0.23 3.75×10-4 3.98
IS n (oral) 5.27 3.92 6.20×10-2 70.38
IS np (oral) 1.09 0.81 1.28×10-3 14.56
IS hive (oral) 2.95×102 3.66×102 11.2 3.17×103
Lambda
cyhalothrin
IS p (dermal) 2.91×102 9.30×102 7.06 6.92×104
IS n (dermal) 5.82×103 1.83×104 2.07×102 8.00×105
IS np (dermal) 1.44×103 4.52×103 51.15 1.96×105
IS p (oral) 50.3 76.88 6.36 7.69×102
IS n (oral) 7.83×102 1.31×103 94.08 1.37×104
IS np (oral) 1.62×102 2.71×102 19.46 2.82×103
IS hive (oral) 1.63×103 2.46×103 1.07×102 2.91×104
Table S19. Outputs of the Monte Carlo analysis for impact scores (IS), for both dermal and oral exposure
pathways for each honey bee forager type: p = pollen foragers, n = nectar foragers without pollen contact, np =
nectar foragers with pollen contact; hive = in-hive bees
Pesticide IS
[beesaffected/ha]
Model
output Average Min Max
Boscalid PAF p (dermal) 7.19×10-4 6.77×10-4 5.42×10-6 1.58×10-2
S25
Pesticide IS
[beesaffected/ha]
Model
output Average Min Max
PAF n (dermal) 7.57×10-4 3.76×10-4 8.24×10-7 7.32×10-3
PAF np (dermal) 1.98×10-3 1.49×10-3 1.84×10-5 2.72×10-2
PAF p (oral) 9.57×10-5 6.46×10-5 6.80×10-7 6.29×10-4
PAF n (oral) 6.43×10-4 4.77×10-4 4.25×10-6 5.05×10-3
PAF np (oral) 6.43×10-4 4.77×10-4 4.25×10-6 5.05×10-3
PAF hive (oral) 7.02×10-3 4.60×10-4 8.72×10-3 4.19×10-2
Lambda
cyhalothrin
PAF p (dermal) 0.082 0.262 0.004 13.177
PAF n (dermal) 0.709 2.231 0.061 90.720
PAF np (dermal) 0.849 2.662 0.077 107.297
PAF p (oral) 0.014 0.022 0.005 0.121
PAF n (oral) 0.095 0.159 0.034 0.986
PAF np (oral) 0.095 0.159 0.034 0.986
PAF hive (oral) 0.039 0.058 0.008 0.408
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