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Muna Maryam Azmy
Mechanism of human-hornet conflicts in
an urban ecosystem
Towards Green Urbanization
 Benefits of urban green space:
-Decrease urban heat effects (Tsilini et al. 2015)
-Increase health (Lee et al. 2011)
-Mitigate water, air pollution (Nowak et al. 2006)
-Nature-based tourism opportunity (Broadbent et al. 2012)
-Wildlife habitat (McKinney 2008)
 Due to these benefits, many cities (US, China, Japan) have
implemented strategies to increase the supply of green
space(Wolch et al. 2014)
Shinjuku Park,2014
Negative side effects of human-nature interaction
Human-wildlife conflict
Human-wildlife Human & Human-wildlife
 Damage to infrastructure
In Iowa, deer-vehicle 220 collisions
account for 13% of all crashes reported
(Gkritza et al. 2014)
 Increase in unwanted species
Increase in number of complaints from
homeowners regarding damage to roof
insulation due to inhabitants of martens
(Herr et al. 2010)
 Human Death
Coyote aggression towards people
(n=3646) in Denver-Metro area of
Colorado in 7 years. (Poessel et al. 2013)
 Among stockholders managers
Differing responsibilities interpretations
between agencies and landowners in red
deer management (Davies& White 2012)
 Conservation diversities
97% of 100 articles were conflict between
conservation and other human activities,
particularly those associated with
livelihoods (Redpath et al. 2015)
Stinging Insect Conflict: Japan
(Matsuura, 2010)
Average of
death from
2005-2014
Snakes
Paper Wasp, Bee,
Hornet
 Stinging insects are considered
as nuisance due to the damage
inflicted by this species.
 Eg. Death from wasp sting is
rare but fatal incident often
involves a single sting
Wasp attack in urban
park , Florida
Stinging Insect Conflict
 High consultation demand for
stinging insects
 Increasing demand for hornets
consultation
 Approximately half of the 53
local governments (excluding
the isolated islands) financially
or technically support nest
removal from private homes,
which normally costs between
$100‒500 US per removal
(Hosaka & Numata 2016).
0
2000
4000
6000
8000
10000
12000
14000
1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
No.ofConsultation
Year
Paper wasp and hornet total consultations in Tokyo
Wasp Hornet
𝑟𝑠 = 0.50∗
𝑟𝑠 = 0.82∗∗
* Significance at p<0.05, ** Significance at p<0.01
Paper wasp
Pest Group Consultation in Tokyo 2010-2014
Stinging insects
Rats
Nuisance animals
Blood-sucking insects
Poisonous insects
Nuisance insects
Sanitary pests
Mites
Wood pests
Tree pests
Food pests
Others
(Hosaka & Numata 2016)
What caused the conflict increase?
Tolerance of Human?Abundance of Hornet?
 Small habitat requirement (McKinney,
2008)
 High temperature that induced
hatching rate (Sirassmann and Orgren,
1983)
 Availability of green spaces (Choi et
al., 2012)
 Physical disabilities during encounter
among aging generation (Bjerke et al.,
1998)
 Lack of experience of younger
generation of urban dwellers towards
some nature (Soga et al., 2016)
 Enhanced of communication
technologies allows better news
circulation
Hornet
Year
Tolerance
Year
Aim of Study
To identify factor influencing conflict between human
and hornet in urban area
Hornet
Human
Conflict
Hornet’s Nest Removal report
Conflict
What is the environment prone for human-hornet conflict?
1) Where does hornet community mainly found?
2) Where does human-hornet conflict(HHC) mainly found?
Hornet Conflict
Prone environment
Human and hornet environment
+
Responses of hornet species to levels of
urban greenness
Hornet Year
Hornet: Species characteristics
 There are 24 species of hornets (Vespa spp.) exclusively
distributed throughout Asia, except for one found also in
Europe (Ono, 2007)
 Eight species are known to live in Japan (Matsuura and
Yamane, 1990)
 Hornets harmfulness to humans can differ among species
(Matsuura 1984, 1990)
Hornet in Japan
Features
Species
V. mandarinia V. crabro V. analis V. ducalis
Body size (mm) 27-38 21-28 22-28 24-37
Nesting site
underground,
tree hollow
attic, underground,
tree hollow
tree branch building
eaves, rock wall
attic, underground,
tree hollow
Prey
various insects
including other
hornets
mainly cicadas
various insect and
spiders
paper wasp
Aggressiveness
Poison
V. analis
コガタスズメバチ
V. mandarinia
オオスズメバチ
V. crabro
モンスズメバチ
V. ducalis
ヒメスズメバチ
V. simillima
キイロスズメバチ
V. flaviceps
クロスズメバチ
V. dybowski
チャイロスズメバチ
Matsuura (1984)
V. velutina
Increasing
V. mandarinia
V. crabro
V. analis
V. ducalis
Seasonal activity of hornet
Matedqueens
surviveoutdoors
Nest-building
Nestmaintainance
byworkers
Newqueens
develop,
summer
coloniesdies
Winter
Spring
Summer
Autumn
Matsuura (1990)
Benefits of Hornet in Urban Ecosystem
Matsuura & Yamane (1990) ; pictures credited to Yamauchi H.
Natural pest control
 Unsanitary pest
 Agriculture pest
Food alternative
 Source of protein
 Exotic food supply
Health improvement
 Herbal medicine
 Sports drinks
Objective of Study
• Hornet depend on green space, particularly forest space due to food and
nesting preferences (Matsuura, 1984; Ono, 2003).
• Some hornet species have also become well-adapted to urban areas, as
they use garden trees and buildings for nesting places and use human
waste as their food source (Choi et al., 2012; Ono, 2003).
• Quantitative analysis on hornet dependence on greenness level is lacking
Food
Low green
areas?
Which
hornet
High green
areas?
Nest
To understand hornet preferred environment using
greenness level
Materials & Methodologies
1) Hornet sample
Data collection of hornet abundance from
Nagoya City Living Hygiene Centre
Two trapping points located at each 11
locations
Bait: Funnel trap and attractant liquid (6:4
fermented sugar solution to water)
Trap: 3m above the ground were observed
every week
Period: April to November in 2007 to 2014
Species of the hornets were identified and
recorded.
Nagoya
Example:Funnel trap
Materials & Methodologies
2) Green spaces
 Satellite variable : Normalized Difference
Vegetation Index (NDVI) of Landsat-8
 Date observation :14 August 2013
 The images were acquired with 30-m spatial
resolution
NDVI
 Valid range: -1 to 1
(e.g 0.5-0.8 forest, -0.1-0.2 bare land)
 Greenness level based on
photosynthetically active biomass of plant
canopies can remotely monitored using
NDVI(Tucker 1979; Elmore et al. 2000)
 Relevant at detecting vegetation change
and forest cover dynamics (Mancino et al.
2014)
Moriyama, Nagoya
Tenpaku, Nagoya
100m radius
0.52
0.35
Materials & Methodologies
2) Green spaces radius measurement
Average NDVI were measured
at each locations within:
o 100m
o 500m
o 1km
o 1.5km
o 2km
o 3km
o 4km
o 5km
o 6km
o 7km
o 8km
o 9km
o 10km
1)Do NDVI values correlate with the abundance and species
composition of hornets?
2)Are responses to NDVI values different among hornet species?
3)Which spatial scale is the most effective at predicting hornet
abundance and species composition?
Research Questions
Materials & Methodologies
3) Data analysis
1.To examine the effect of green areas towards hornet abundance
Generalized Linear Mixed Model(GLMM) *
-Response : Hornet species abundance
-Explanatory : Average NDVI within 100m, 500m, 1km,2km,…, 10km
-Random effect: Location ID
2.To identify the scale to detect hornet abundance
GLMM, Nonmetric-multidimensional Scaling (NMDS)*
-Response : Hornet species composition at site (NMDS)
-Explanatory : Average NDVI within 100m, 500m, 1km, 2km,…, 10km
-Random effect: Location ID
3.To analyze temporal pattern of hornet abundance
Spearman rank correlation
-Variables: Year ~ Hornet abundance
(Burnham and Anderson, 2002, Zuur et al., 2009)
* Based on AIC
Results?
Temporal pattern
 Although some species
showed high temporal
increase, the results were not
significant except for V.
mandarinia
Long-term monitoring is
crucial to understand temporal
patterns of hornet abundance
Temporal pattern of abundance
Results
0
2000
4000
6000
8000
10000
12000
2007 2008 2009 2010 2011 2012 2013 2014 2015
V.analis V.ducalis
V. crabro V. mandarinia
Total
𝑟𝑠 = 0.62
𝑟𝑠 = 0. 72∗
𝑟𝑠 = 0. 3
𝑟𝑠 = 0. 08
𝑟𝑠 = 0. 17
V. analis
29%
V. ducalis
10%V. crabro
17%
V.
mandarinia
43%
Others
1%
Species composition 2007-2015
N=64569
YearAbundance
Species compositions were different
among locations (F=17.175, p<0.001)
Species compositions were not
different in years (F=0.6926,
p=0.8093)
 Suggesting strong drivers caused in
spatial environmental (i.e land
covers), besides temporally
fluctuating factors (i.e. temperature
and rainfall)
Results
Spatial species composition
-0.25
0.00
0.25
-0.50 -0.25 0.00 0.25 0.50
NMDS1
NMDS2
Wardp
Point 1
Point 10
Point 11
Point 2
Point 3
Point 4
Point 5
Point 6
Point 7
Point 8
Point 9
1
3
2
4
5
6
8
10
9
11
7
Locations
N=82 [(6years x10location)+(2yearsx11location)]
N=82
Spatial pattern
Effect of Greenness Level
NDVI within all radiuses from 100m to
10km significantly affect hornet
abundance
Best model: NDVI within 1km (0.18-
0.54)
 Suggesting that the level of greenness
in urban areas positively affected
hornet abundance
Best estimate within 1km: consistent
with hornets flying range (Matsuura,
1984)
Results
GLMM :Hornet abundance~ average NDVI within radius + *Ward ID
*random effect
Different Response on Greenness
Two species significantly
affected by green spaces
-V. mandarinia
-V. crabro
Difference in response are
likely related to the species-
specific ecological
characteristics
Results
𝛽 = 9.57***
N = 82
𝛽 = 10.89***
N = 82
𝛽 =2.913
N = 82
*** Significance at p<0.001
NDVI within 1km radius
Abundance
GLMM : Species abundance~ average NDVI within 1 km radius+ *Ward ID
V. analisV. mandarinia
V. ducalisV. crabro
*random effect
N=82 [(6years x10location)+(2yearsx11location)]
𝛽 =0.78
N = 82
Different Effect of Greenness Level
Results
Species dominance based on greenness level
within 1km
Nesting and prey preference related:
V. mandarinia: underground nests and
prey on a great number of large insects
in forests
V. crabro: tree hollows and
underground nesting, and they prey on
cicadas
V. analis: generalists in regard to prey
species and nesting sites
(Matsura 1984, Choi et al. 2012, Michelutti et al., 2013)
N = 82
0.31
Kita
0.54
Chikusa Minato
0.19
Summary
Important to consider the greenness level of landscapes rather than
land use element(forest, parks) to predict hornet abundance
This study showed that possibilities of conflicts with hornets are
likely to increase proportionally with the amount of green space
especially the most venomous species
Useful information to be shared by urban park managers to improve
awareness on public safety at urban green spaces
Green space and conflict
Non-forest
• V. mandarinia
• V. crabro
Forest
• V. analis
• V. ducalis
Impacts of environment on human -
hornet conflict in urban ecosystem of
Nagoya
Tolerance
Year
Human
Human wildlife conflict
Hornet as urban’s nuisance insect has several times been
discussed in previous studies (Matsuura and Yamane,
1990; Nakamura, 2007; Yamauchi H, 2009), but lack of
quantitative approach has been done to understand the
issue
Limited of studies has on human-insect conflict (Magle et
al. 2012)
Since insects can adapt well to urban environment we
need to understand how conflicts can be detrimental to
human
What environment can drive conflict?
1) Where we can find high number of hornet?
2) Where we can find high number of wildlife conflict?
Human and hornet environment
= green spaces
for some species
= residential
areas
3) Who mostly dislike wildlife?
= elder
generation
4) Who have low tolerance to wildlife? = woman
Structure of species diversity and abundance can depend on species
interaction, microclimate and availability of natural resources (Picket et
al 2001)
Combination of increased human population in urbanized environment
with human dynamic attitude, induce challenge in solving wildlife
conflict (Jochum et al. 2014)
Objectives of Study
Removal report
Conflict
Social characteristics
To understand which factors strongly contribute to the
conflict
Grassland
Population
Agricultural land
Parks
Forest
Residential areas
Women
Elder generation
Spatial environment
Materials & Methodologies
1) Hornet nest removal report
Study area: Nagoya city
Source: Environmental Health Center of
Nagoya city
Size: 16 wards
Type of removal: Free of charge
Period : 1990 to 2005
Five main hornet species identified:
- Vespa mandarinia (オオスズメバチ)
- V. analis (コガタスズメバチ)
- V. ducalis (ヒメスズメバチ)
- V. crabro (モンスズメバチ)
- V. simillima (キイロスズメバチ)
Nagoya city
Period observed: 1990-2005
Source: Nagoya city demographic
report (Nagoya, 2015)
Ratio of group :
Materials & Methodologies
Grassland
Agricultural land
Forest
Residential areas
Parks
Elder generation proportion
Women proportion
Population
Nagoya
2) Land use types 3) Social characteristics
Period observed: 1990-2005
Source: Nagoya city government
Ratio of land use:
Land use area
Ward area
% Group proportion
Ward proportion
%
Do number of removals
1) Increase temporally?
2) Different spatially ?
3) Affected by land use or social pattern?
Research Questions
Materials & Methodologies
3) Data analysis
1.To examine the effect of spatial and towards hornet removal
Generalized Linear Mixed Model(GLMM)
-Response : No. of removals
-Explanatory :
-Random Effect : Ward ID
2.To analyze temporal pattern of hornet removal
Spearman rank correlation
-Variables: Year ~ No. hornet removal
(Burnham and Anderson, 2002, Zuur et al., 2009)
𝑥4: Grassland
𝑥5: Parks
𝑥6: Elder generation
𝑥7: Women proportion
𝑥8: Population
𝑥9: Year
𝑥1: Residential areas
𝑥2: Agricultural land
𝑥3: Forest
Results?
0
200
400
600
800
1000
1200
1990 1995 2000 2005
Removal
Year
Trend of total removal
92
3221
Species Removed
V. analis
V. ducalis
V. crabro
V. simillima
V. mandarinia
Number of removal significantly increased temporally
Highly removed species is V. analis : expected to have high
adaptability at various land covers
Temporal trend of removal
Results
𝑟𝑠 = 0. 86∗∗∗
** p. value significant at p<0.001, N=16
0
0.5
1
1.5
2
2.5
3
3.5
1990 1995 2000 2005
LognoofRemoval
Year
Trend of Removal by Species
Results
𝑟𝑠 = 0. 85∗∗∗
𝑟𝑠 = 0.46
𝑟𝑠 = 0. 72∗∗∗
𝑟𝑠 = −0.43
𝑟𝑠 = 0. 95∗∗
*
Significance at *** p<0.001, N=16
Temporal removal for all species increased significantly except for V.
ducalis and V. simillima
Highest increase in removal was on V. analis followed by V.
mandarinia
Increase of conflict with V. mandarinia raise awareness on the
negative effect of urban ecosystem
Spatial trend of removal
Results
0
0.0002
0.0004
0.0006
0.0008
Removal/population
Removal by ward 1990-2005
Removal trend was spatially
different
 On average from 1990- 2005
Highest : Moriyama
Lowest : Nakagawa
Which factors associated with conflict?
Results
Variables Estimates(βi) P. values
Forest 0.69 <0.001
Year 0.45 <0.001
Grass 0.29 <0.001
Residential 0.28 <0.001
GLMM : Removal~ β1Forest + β2Residential Size+ β3Grassland+ β4Parks +
β5Agricultural Land+ β6Population+β7Elder + β8Women+ β9Year +
random effect(Ward ID)
N=216
Proportion of the forest highly associated with the number of
removal
Which factors associated with conflict?: Species
ResultsEstimates significant at p<0.05 *, p<0.01 **, p<0.001 ***, N=216
 Forest is the strongest estimate for all models except for V. ducalis
Agricultural areas showed negative association for some species
removals
Discussion
Consistent with previous study (Azmy et al 2016) where species like V. mandarinia
and V. crabro were abundant at high green areas.
Unexpected for the removal of V. analis, removal might related with residence that
is located near forested areas
Natural regulations might be useful to control the hornet population
Forest
Positively affect
Similar with previous study
where green spaces and
forest were related with
stinging insect conflict.
(Choi et al, 2012; Hosaka &
Numata, 2016)
Forest
Discussion
Considering paper wasps as control agents of some agricultural activities(Gould and
Jeanne 1984), it is interesting that the extermination of V. ducalis was negatively
correlated with agricultural areas.
Either the agricultural environment was unsuitable for the survival of this species or
high tolerance towards this species due to its ability in controlling paper wasps in
these areas.
Agricultural land
Negatively affect
Previous study suggested
that hornet has been used
for pest control pest.
(Matsuura & Yamane 1990)
Forest
Agriculture
Summary
Trends in removals
 Trend of removal might plausibly increase in future
 This study illustrates how conflict between human and
different hornet species can occur near forest areas.
 Negative element of ecosystem is important to be
considered in urban development such as green spaces
and residential areas
 High correlation between hornet abundance and urban green
space
 High association between hornet-human conflict and urban forest
Future Implementation Suggestion
Demonstrates risk of conflict with hornet spatially
within urban environment especially urban green spaces.
 Consideration of negative effects of element on urban land covers
should be taken account for urban planning management
 Understanding risk of wildlife such as is also important for human
in order to live in green environment
Conclusion
Incorporating aspect of biodiversity conservation in urban planning
can be effective for human as well as wildlife when the positive and
negative effects of the ecosystems were put into considerations.
The end
Thesis Outline
Title Chapter
Introduction 1
Materials and methodologies 2
Response of hornet towards greenness level 3
Impacts of environment on human - hornet conflict in urban
ecosystem of Nagoya
4
General discussion 5
Trend of NDVI vs. summation of agriculture,
forest and grassland 1990-2005
Ward comparison
0
5
10
15
20
25
30
35
40
45
Sizeinward(%)
Grassland Agriculture Forest Park Residential
0
0.002
0.004
0.006
0.008
0.01
0.012
0.014
0
200
400
600
800
1000
1200
1400
1600
1800
2000
Removalperpopulation
Numberofremoval
Ratio
Number
Land use type by ward 1990-2005
Number of removal by ward 1990-2005
0
50000
100000
150000
200000
0.1
0.2
0.3
0.4
0.5
0.6
Population
Women&ElderProportion Women Elder Population
0
0.002
0.004
0.006
0.008
0.01
0.012
0.014
0
200
400
600
800
1000
1200
1400
1600
1800
2000
Removalperpopulation
Numberofremoval
Ratio
Number
Ward comparison
Number of removal by ward 1990-2005
Social pattern by ward 1990-2005
Mechanism of human-hornet conflicts in an urban ecosystem

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Mechanism of human-hornet conflicts in an urban ecosystem

  • 1. Muna Maryam Azmy Mechanism of human-hornet conflicts in an urban ecosystem
  • 2. Towards Green Urbanization  Benefits of urban green space: -Decrease urban heat effects (Tsilini et al. 2015) -Increase health (Lee et al. 2011) -Mitigate water, air pollution (Nowak et al. 2006) -Nature-based tourism opportunity (Broadbent et al. 2012) -Wildlife habitat (McKinney 2008)  Due to these benefits, many cities (US, China, Japan) have implemented strategies to increase the supply of green space(Wolch et al. 2014) Shinjuku Park,2014
  • 3. Negative side effects of human-nature interaction Human-wildlife conflict Human-wildlife Human & Human-wildlife  Damage to infrastructure In Iowa, deer-vehicle 220 collisions account for 13% of all crashes reported (Gkritza et al. 2014)  Increase in unwanted species Increase in number of complaints from homeowners regarding damage to roof insulation due to inhabitants of martens (Herr et al. 2010)  Human Death Coyote aggression towards people (n=3646) in Denver-Metro area of Colorado in 7 years. (Poessel et al. 2013)  Among stockholders managers Differing responsibilities interpretations between agencies and landowners in red deer management (Davies& White 2012)  Conservation diversities 97% of 100 articles were conflict between conservation and other human activities, particularly those associated with livelihoods (Redpath et al. 2015)
  • 4. Stinging Insect Conflict: Japan (Matsuura, 2010) Average of death from 2005-2014 Snakes Paper Wasp, Bee, Hornet  Stinging insects are considered as nuisance due to the damage inflicted by this species.  Eg. Death from wasp sting is rare but fatal incident often involves a single sting Wasp attack in urban park , Florida
  • 5. Stinging Insect Conflict  High consultation demand for stinging insects  Increasing demand for hornets consultation  Approximately half of the 53 local governments (excluding the isolated islands) financially or technically support nest removal from private homes, which normally costs between $100‒500 US per removal (Hosaka & Numata 2016). 0 2000 4000 6000 8000 10000 12000 14000 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 No.ofConsultation Year Paper wasp and hornet total consultations in Tokyo Wasp Hornet 𝑟𝑠 = 0.50∗ 𝑟𝑠 = 0.82∗∗ * Significance at p<0.05, ** Significance at p<0.01 Paper wasp Pest Group Consultation in Tokyo 2010-2014 Stinging insects Rats Nuisance animals Blood-sucking insects Poisonous insects Nuisance insects Sanitary pests Mites Wood pests Tree pests Food pests Others (Hosaka & Numata 2016)
  • 6. What caused the conflict increase? Tolerance of Human?Abundance of Hornet?  Small habitat requirement (McKinney, 2008)  High temperature that induced hatching rate (Sirassmann and Orgren, 1983)  Availability of green spaces (Choi et al., 2012)  Physical disabilities during encounter among aging generation (Bjerke et al., 1998)  Lack of experience of younger generation of urban dwellers towards some nature (Soga et al., 2016)  Enhanced of communication technologies allows better news circulation Hornet Year Tolerance Year
  • 7. Aim of Study To identify factor influencing conflict between human and hornet in urban area Hornet Human Conflict
  • 8. Hornet’s Nest Removal report Conflict What is the environment prone for human-hornet conflict? 1) Where does hornet community mainly found? 2) Where does human-hornet conflict(HHC) mainly found? Hornet Conflict Prone environment Human and hornet environment +
  • 9. Responses of hornet species to levels of urban greenness Hornet Year
  • 10. Hornet: Species characteristics  There are 24 species of hornets (Vespa spp.) exclusively distributed throughout Asia, except for one found also in Europe (Ono, 2007)  Eight species are known to live in Japan (Matsuura and Yamane, 1990)  Hornets harmfulness to humans can differ among species (Matsuura 1984, 1990)
  • 11. Hornet in Japan Features Species V. mandarinia V. crabro V. analis V. ducalis Body size (mm) 27-38 21-28 22-28 24-37 Nesting site underground, tree hollow attic, underground, tree hollow tree branch building eaves, rock wall attic, underground, tree hollow Prey various insects including other hornets mainly cicadas various insect and spiders paper wasp Aggressiveness Poison V. analis コガタスズメバチ V. mandarinia オオスズメバチ V. crabro モンスズメバチ V. ducalis ヒメスズメバチ V. simillima キイロスズメバチ V. flaviceps クロスズメバチ V. dybowski チャイロスズメバチ Matsuura (1984) V. velutina Increasing V. mandarinia V. crabro V. analis V. ducalis
  • 12. Seasonal activity of hornet Matedqueens surviveoutdoors Nest-building Nestmaintainance byworkers Newqueens develop, summer coloniesdies Winter Spring Summer Autumn Matsuura (1990)
  • 13. Benefits of Hornet in Urban Ecosystem Matsuura & Yamane (1990) ; pictures credited to Yamauchi H. Natural pest control  Unsanitary pest  Agriculture pest Food alternative  Source of protein  Exotic food supply Health improvement  Herbal medicine  Sports drinks
  • 14. Objective of Study • Hornet depend on green space, particularly forest space due to food and nesting preferences (Matsuura, 1984; Ono, 2003). • Some hornet species have also become well-adapted to urban areas, as they use garden trees and buildings for nesting places and use human waste as their food source (Choi et al., 2012; Ono, 2003). • Quantitative analysis on hornet dependence on greenness level is lacking Food Low green areas? Which hornet High green areas? Nest To understand hornet preferred environment using greenness level
  • 15. Materials & Methodologies 1) Hornet sample Data collection of hornet abundance from Nagoya City Living Hygiene Centre Two trapping points located at each 11 locations Bait: Funnel trap and attractant liquid (6:4 fermented sugar solution to water) Trap: 3m above the ground were observed every week Period: April to November in 2007 to 2014 Species of the hornets were identified and recorded. Nagoya Example:Funnel trap
  • 16. Materials & Methodologies 2) Green spaces  Satellite variable : Normalized Difference Vegetation Index (NDVI) of Landsat-8  Date observation :14 August 2013  The images were acquired with 30-m spatial resolution NDVI  Valid range: -1 to 1 (e.g 0.5-0.8 forest, -0.1-0.2 bare land)  Greenness level based on photosynthetically active biomass of plant canopies can remotely monitored using NDVI(Tucker 1979; Elmore et al. 2000)  Relevant at detecting vegetation change and forest cover dynamics (Mancino et al. 2014) Moriyama, Nagoya Tenpaku, Nagoya 100m radius 0.52 0.35
  • 17. Materials & Methodologies 2) Green spaces radius measurement Average NDVI were measured at each locations within: o 100m o 500m o 1km o 1.5km o 2km o 3km o 4km o 5km o 6km o 7km o 8km o 9km o 10km
  • 18. 1)Do NDVI values correlate with the abundance and species composition of hornets? 2)Are responses to NDVI values different among hornet species? 3)Which spatial scale is the most effective at predicting hornet abundance and species composition? Research Questions
  • 19. Materials & Methodologies 3) Data analysis 1.To examine the effect of green areas towards hornet abundance Generalized Linear Mixed Model(GLMM) * -Response : Hornet species abundance -Explanatory : Average NDVI within 100m, 500m, 1km,2km,…, 10km -Random effect: Location ID 2.To identify the scale to detect hornet abundance GLMM, Nonmetric-multidimensional Scaling (NMDS)* -Response : Hornet species composition at site (NMDS) -Explanatory : Average NDVI within 100m, 500m, 1km, 2km,…, 10km -Random effect: Location ID 3.To analyze temporal pattern of hornet abundance Spearman rank correlation -Variables: Year ~ Hornet abundance (Burnham and Anderson, 2002, Zuur et al., 2009) * Based on AIC
  • 21. Temporal pattern  Although some species showed high temporal increase, the results were not significant except for V. mandarinia Long-term monitoring is crucial to understand temporal patterns of hornet abundance Temporal pattern of abundance Results 0 2000 4000 6000 8000 10000 12000 2007 2008 2009 2010 2011 2012 2013 2014 2015 V.analis V.ducalis V. crabro V. mandarinia Total 𝑟𝑠 = 0.62 𝑟𝑠 = 0. 72∗ 𝑟𝑠 = 0. 3 𝑟𝑠 = 0. 08 𝑟𝑠 = 0. 17 V. analis 29% V. ducalis 10%V. crabro 17% V. mandarinia 43% Others 1% Species composition 2007-2015 N=64569 YearAbundance
  • 22. Species compositions were different among locations (F=17.175, p<0.001) Species compositions were not different in years (F=0.6926, p=0.8093)  Suggesting strong drivers caused in spatial environmental (i.e land covers), besides temporally fluctuating factors (i.e. temperature and rainfall) Results Spatial species composition -0.25 0.00 0.25 -0.50 -0.25 0.00 0.25 0.50 NMDS1 NMDS2 Wardp Point 1 Point 10 Point 11 Point 2 Point 3 Point 4 Point 5 Point 6 Point 7 Point 8 Point 9 1 3 2 4 5 6 8 10 9 11 7 Locations N=82 [(6years x10location)+(2yearsx11location)] N=82 Spatial pattern
  • 23. Effect of Greenness Level NDVI within all radiuses from 100m to 10km significantly affect hornet abundance Best model: NDVI within 1km (0.18- 0.54)  Suggesting that the level of greenness in urban areas positively affected hornet abundance Best estimate within 1km: consistent with hornets flying range (Matsuura, 1984) Results GLMM :Hornet abundance~ average NDVI within radius + *Ward ID *random effect
  • 24. Different Response on Greenness Two species significantly affected by green spaces -V. mandarinia -V. crabro Difference in response are likely related to the species- specific ecological characteristics Results 𝛽 = 9.57*** N = 82 𝛽 = 10.89*** N = 82 𝛽 =2.913 N = 82 *** Significance at p<0.001 NDVI within 1km radius Abundance GLMM : Species abundance~ average NDVI within 1 km radius+ *Ward ID V. analisV. mandarinia V. ducalisV. crabro *random effect N=82 [(6years x10location)+(2yearsx11location)] 𝛽 =0.78 N = 82
  • 25. Different Effect of Greenness Level Results Species dominance based on greenness level within 1km Nesting and prey preference related: V. mandarinia: underground nests and prey on a great number of large insects in forests V. crabro: tree hollows and underground nesting, and they prey on cicadas V. analis: generalists in regard to prey species and nesting sites (Matsura 1984, Choi et al. 2012, Michelutti et al., 2013) N = 82 0.31 Kita 0.54 Chikusa Minato 0.19
  • 26. Summary Important to consider the greenness level of landscapes rather than land use element(forest, parks) to predict hornet abundance This study showed that possibilities of conflicts with hornets are likely to increase proportionally with the amount of green space especially the most venomous species Useful information to be shared by urban park managers to improve awareness on public safety at urban green spaces Green space and conflict Non-forest • V. mandarinia • V. crabro Forest • V. analis • V. ducalis
  • 27. Impacts of environment on human - hornet conflict in urban ecosystem of Nagoya Tolerance Year Human
  • 28. Human wildlife conflict Hornet as urban’s nuisance insect has several times been discussed in previous studies (Matsuura and Yamane, 1990; Nakamura, 2007; Yamauchi H, 2009), but lack of quantitative approach has been done to understand the issue Limited of studies has on human-insect conflict (Magle et al. 2012) Since insects can adapt well to urban environment we need to understand how conflicts can be detrimental to human
  • 29. What environment can drive conflict? 1) Where we can find high number of hornet? 2) Where we can find high number of wildlife conflict? Human and hornet environment = green spaces for some species = residential areas 3) Who mostly dislike wildlife? = elder generation 4) Who have low tolerance to wildlife? = woman Structure of species diversity and abundance can depend on species interaction, microclimate and availability of natural resources (Picket et al 2001) Combination of increased human population in urbanized environment with human dynamic attitude, induce challenge in solving wildlife conflict (Jochum et al. 2014)
  • 30. Objectives of Study Removal report Conflict Social characteristics To understand which factors strongly contribute to the conflict Grassland Population Agricultural land Parks Forest Residential areas Women Elder generation Spatial environment
  • 31. Materials & Methodologies 1) Hornet nest removal report Study area: Nagoya city Source: Environmental Health Center of Nagoya city Size: 16 wards Type of removal: Free of charge Period : 1990 to 2005 Five main hornet species identified: - Vespa mandarinia (オオスズメバチ) - V. analis (コガタスズメバチ) - V. ducalis (ヒメスズメバチ) - V. crabro (モンスズメバチ) - V. simillima (キイロスズメバチ) Nagoya city
  • 32. Period observed: 1990-2005 Source: Nagoya city demographic report (Nagoya, 2015) Ratio of group : Materials & Methodologies Grassland Agricultural land Forest Residential areas Parks Elder generation proportion Women proportion Population Nagoya 2) Land use types 3) Social characteristics Period observed: 1990-2005 Source: Nagoya city government Ratio of land use: Land use area Ward area % Group proportion Ward proportion %
  • 33. Do number of removals 1) Increase temporally? 2) Different spatially ? 3) Affected by land use or social pattern? Research Questions
  • 34. Materials & Methodologies 3) Data analysis 1.To examine the effect of spatial and towards hornet removal Generalized Linear Mixed Model(GLMM) -Response : No. of removals -Explanatory : -Random Effect : Ward ID 2.To analyze temporal pattern of hornet removal Spearman rank correlation -Variables: Year ~ No. hornet removal (Burnham and Anderson, 2002, Zuur et al., 2009) 𝑥4: Grassland 𝑥5: Parks 𝑥6: Elder generation 𝑥7: Women proportion 𝑥8: Population 𝑥9: Year 𝑥1: Residential areas 𝑥2: Agricultural land 𝑥3: Forest
  • 36. 0 200 400 600 800 1000 1200 1990 1995 2000 2005 Removal Year Trend of total removal 92 3221 Species Removed V. analis V. ducalis V. crabro V. simillima V. mandarinia Number of removal significantly increased temporally Highly removed species is V. analis : expected to have high adaptability at various land covers Temporal trend of removal Results 𝑟𝑠 = 0. 86∗∗∗ ** p. value significant at p<0.001, N=16
  • 37. 0 0.5 1 1.5 2 2.5 3 3.5 1990 1995 2000 2005 LognoofRemoval Year Trend of Removal by Species Results 𝑟𝑠 = 0. 85∗∗∗ 𝑟𝑠 = 0.46 𝑟𝑠 = 0. 72∗∗∗ 𝑟𝑠 = −0.43 𝑟𝑠 = 0. 95∗∗ * Significance at *** p<0.001, N=16 Temporal removal for all species increased significantly except for V. ducalis and V. simillima Highest increase in removal was on V. analis followed by V. mandarinia Increase of conflict with V. mandarinia raise awareness on the negative effect of urban ecosystem
  • 38. Spatial trend of removal Results 0 0.0002 0.0004 0.0006 0.0008 Removal/population Removal by ward 1990-2005 Removal trend was spatially different  On average from 1990- 2005 Highest : Moriyama Lowest : Nakagawa
  • 39. Which factors associated with conflict? Results Variables Estimates(βi) P. values Forest 0.69 <0.001 Year 0.45 <0.001 Grass 0.29 <0.001 Residential 0.28 <0.001 GLMM : Removal~ β1Forest + β2Residential Size+ β3Grassland+ β4Parks + β5Agricultural Land+ β6Population+β7Elder + β8Women+ β9Year + random effect(Ward ID) N=216 Proportion of the forest highly associated with the number of removal
  • 40. Which factors associated with conflict?: Species ResultsEstimates significant at p<0.05 *, p<0.01 **, p<0.001 ***, N=216  Forest is the strongest estimate for all models except for V. ducalis Agricultural areas showed negative association for some species removals
  • 41. Discussion Consistent with previous study (Azmy et al 2016) where species like V. mandarinia and V. crabro were abundant at high green areas. Unexpected for the removal of V. analis, removal might related with residence that is located near forested areas Natural regulations might be useful to control the hornet population Forest Positively affect Similar with previous study where green spaces and forest were related with stinging insect conflict. (Choi et al, 2012; Hosaka & Numata, 2016) Forest
  • 42. Discussion Considering paper wasps as control agents of some agricultural activities(Gould and Jeanne 1984), it is interesting that the extermination of V. ducalis was negatively correlated with agricultural areas. Either the agricultural environment was unsuitable for the survival of this species or high tolerance towards this species due to its ability in controlling paper wasps in these areas. Agricultural land Negatively affect Previous study suggested that hornet has been used for pest control pest. (Matsuura & Yamane 1990) Forest Agriculture
  • 43. Summary Trends in removals  Trend of removal might plausibly increase in future  This study illustrates how conflict between human and different hornet species can occur near forest areas.  Negative element of ecosystem is important to be considered in urban development such as green spaces and residential areas
  • 44.  High correlation between hornet abundance and urban green space  High association between hornet-human conflict and urban forest Future Implementation Suggestion Demonstrates risk of conflict with hornet spatially within urban environment especially urban green spaces.  Consideration of negative effects of element on urban land covers should be taken account for urban planning management  Understanding risk of wildlife such as is also important for human in order to live in green environment
  • 45. Conclusion Incorporating aspect of biodiversity conservation in urban planning can be effective for human as well as wildlife when the positive and negative effects of the ecosystems were put into considerations.
  • 47. Thesis Outline Title Chapter Introduction 1 Materials and methodologies 2 Response of hornet towards greenness level 3 Impacts of environment on human - hornet conflict in urban ecosystem of Nagoya 4 General discussion 5
  • 48. Trend of NDVI vs. summation of agriculture, forest and grassland 1990-2005
  • 49. Ward comparison 0 5 10 15 20 25 30 35 40 45 Sizeinward(%) Grassland Agriculture Forest Park Residential 0 0.002 0.004 0.006 0.008 0.01 0.012 0.014 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Removalperpopulation Numberofremoval Ratio Number Land use type by ward 1990-2005 Number of removal by ward 1990-2005
  • 50. 0 50000 100000 150000 200000 0.1 0.2 0.3 0.4 0.5 0.6 Population Women&ElderProportion Women Elder Population 0 0.002 0.004 0.006 0.008 0.01 0.012 0.014 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Removalperpopulation Numberofremoval Ratio Number Ward comparison Number of removal by ward 1990-2005 Social pattern by ward 1990-2005