=Paper= {{Paper |id=Vol-2323/SKI-Canada-2019-7-7-3 |storemode=property |title=Data Collection and Spatial Analysis for Value Assessment of First Nations Environmental Livelihoods in Northeast British Columbia |pdfUrl=https://ceur-ws.org/Vol-2323/SKI-Canada-2019-7-7-3.pdf |volume=Vol-2323 |authors=Xiaojing Lu,David Natcher,Abigael Rice,Ana-Maria Bodgan,Weiping Zeng,Thuan Ha,Jun Wang,Mahsa Azizi,Fatemeh Zare Abandankeshi,Thuy Doan,Jason Disano,Scott Bell }} ==Data Collection and Spatial Analysis for Value Assessment of First Nations Environmental Livelihoods in Northeast British Columbia== https://ceur-ws.org/Vol-2323/SKI-Canada-2019-7-7-3.pdf
Spatial Knowledge and Information Canada, 2019, 7(7), 3



Data Collection and Spatial Analysis for
Value Assessment of First Nations
Environmental Livelihoods in Northeast
British Columbia
XIAOJING LU1, DAVID NATCHER2, ABIGAEL RICE2, ANA-MARIA BODGAN3, WEIPING ZENG4,
THUAN HA4, JUN WANG5, MAHSA AZIZI6, FATEMEH ZARE ABANDANKESHI6, THUY DOAN1,
JASON DISANO3, SCOTT BELL1

1Geography and Planning, scott.bell@usask.ca,
2Agricultural and Resource Economics, david.natcher@usask.ca,
3Social Sciences Research Laboratories,ana.bogdan@usask.ca,
4The Spatial Initiative, wez948@mail.usask.ca,
5Mechanical Engineering,
6Computer Science

University of Saskatchewan, Canada


                                                 1. Introduction
ABSTRACT
                                                 Indigenous people have lived in British
Industrialization in Canada influences           Columbia (BC) for more than 10,000
the environmental livelihood of First            years.    They     developed   societies,
Nation (FN) peoples. We developed a              cultures, territories, and laws. Today,
spatial survey to examine the livelihoods        there are 198 distinct First Nations
of three FN communities located in
                                                 (FNs) in BC, each with unique traditions
northeast British Columbia. A wildlife           and history. As population increased
harvesting geodatabase was created to            over this time, the exploitation of
assist analyses of harvesting patterns.
                                                 natural resources increased and this has
Hotspot analysis revealed regions most           had a environmental impact on the
frequently used by FNs for hunting close         livelihood of indigenous peoples,
to FN communities and directional
                                                 particularly those who choose a
analysis indicated the direction of use.         traditional relationship with the land
We      found    that   sport     hunting        (Booth & Skelton, 2011).
outperformed FN moose harvesting and
identified the disused area of previous          A Regional Strategic Environmental
hunting grounds. These findings will             Assessment (RSEA) was launched in
assist the British Columbia government           northeastern BC in 2016. This
regarding the cultural impacts from              collaboration was among seven Treaty 8
industrial development in the northeast          FNs and the Province of BC. This
British Columbia.                                collaboration   seeks    to   generate
                                                 information    regarding    cumulative
                                                 impacts in the Treaty 8 territory that
                                                 would be used to mitigate potentially
                                                 adverse impacts on FN rights and
2 | FN Environmental Livelihoods Value Assessment


environmentally-based livelihoods. In                identify the locations of FN wildlife
this context, environmental livelihoods              harvesting. According to our household
include hunting, fishing, gathering, and             survey, the impact of sport hunting on
other land-based activities.                         moose caused great concern to FNs as




                                    Figure 1 Project flowchart

At the request of the RSEA Management                moose was their main food source.
Committee, this project set out to collect           Therefore, the pressure that sport
and organize information related to the              hunting asserted on FN moose
values and traditional land use activities           harvesting was investigated. Last, the
of the three FNs in Northern BC: West                RSEA disturbance database was used to
Moberly First Nations (WMFN),                        study the hunting barriers identified by
Saulteau First Nations (SFN), and the                FN participants. The geodatabase and
McLeod Lake Indian Band (MLIB). To                   analysis results will be released in a
achieve the research goal, a geographic              publicly accessible Web GIS platform
information system (GIS) was used to                 shortly.
develop a FN wildlife harvesting
geodatabase,       analyze     harvesting            2.1 Study area
patterns, and investigate the barriers               Figure 2 shows the study area (outlined
First Nation hunters experience in                   in red) located within the territory
accessing their traditional lands.                   covered by Treaty 8. As shown in Figure
                                                     2, the main community of SFN has a
2. Methods and Data                                  population of 380 people and 125
                                                     households (Statistics Canada, 2016a),
A flowchart of project activities is shown
                                                     is situated in northeastern BC at the east
in Figure 1. We developed household
                                                     end of Moberly Lake. The WMFN has a
survey of wildlife harvesting and food
                                                     population of 140 people and 40
sharing networks. Then we digitized and
                                                     households (Statistics Canada, 2016b)
geocoded the survey data in ArcGIS to
                                                     and is located just west of the SFN. The
prepare the database. Hotspot and
                                                     MLIB, has a total population of 87
directional analysis were used to
3 | FN Environmental Livelihoods Value Assessment


people and 45 households (Canada,                   households) were recorded on a
2016c), is located to the south of SFN              modified 10x10 km2 grid over the study
and WMFN on Highway 97. As data                     area (Figure 2). Previous research has
concerning the MLIB is still being                  shown the recall of FN hunters to be
processed, we discuss only results                  detailed     and     accurate    (Jones,
regarding the SFN and the WMFN.                     Andriamarovololona, Hockley, Gibbons,
                                                    & Milner-Gulland, 2008). Section 3
                                                    identified cooperative food sharing
                                                    networks. The methods and results for
                                                    section 3 are described in Bogdan and Li
                                                    (2019).
                                                    Various    interview   methods     were
                                                    employed, including key informant
                                                    interviews, on-the-land interviews (also
                                                    called transect walks), and sharing
                                                    circles.
                                                    Ethical considerations for this study
                                                    were addressed in accordance with
                                                    procedures outlined by the University of
                                                    Saskatchewan's Behavioural Research
                                                    Ethics Board (Beh-Reb) and approval
                                                    for this study. In addition to those
                                                    requirements, a Data Sharing and
                                                    Confidentiality Agreement was signed by
                                                    all parties contributing to this research.
                                                    This agreement makes clear that
           Figure 2 Study area map                  confidential    information     will    be
                                                    generalized to a point where the
To assess the geographical distribution
                                                    sensitivities   are    eliminated     (e.g.
of land use and hunting efforts, the
                                                    identified spiritual sites, grave sites,
study area was overlaid with a
                                                    moose licks will be generalized to a
contiguous 10x10 km2 grid to record
                                                    polygon that indicates cultural sites or
harvesting in the questionnaire.
                                                    moose hunting area to the extent
2.2 Questionnaire design and survey                 possible) in order to make it available
conduct                                             solely for the implementation of project
                                                    results. No information developed
                                                    through this project will be used in a
The survey was divided into three
                                                    manner that violates the confidentiality
sections: Section 1 identified household
                                                    concerns of participating community
demographic information, including the
                                                    members.
number, age, gender, and employment
of household occupants. Section 2                   2.3 Database development
focused on wildlife harvesting. The
number, types, and locations of animals             Excel was used to organize data in
and plants harvested by households                  preparation for analysis. A double data
during the preceding year (according to             entry method was used to ensure
memories of male and female heads-of-               accuracy. The preliminary tables of
4 | FN Environmental Livelihoods Value Assessment


harvest, demographic, and economic                  Hunting barrier analysis: Survey
data were then reviewed and verified by             participants identified the grids where
FN research coordinators.                           they used to hunt but currently do not
                                                    hunt. The results were integrated with
Household harvest         surveys    were           the RSEA dataset of industry, recreation
geocoded using ArcGIS. As plant harvest             sites, and transportation to visualize
data is still being processed, we discuss
                                                    how disturbances affect FN hunting
here only results regarding animal                  patterns.
harvest. Harvest animal counts were
converted to edible food weight. These
were calculated at species, household,
                                                    3. Results
and community levels and mapped                     3.1 Harvesting locations and
accordingly to harvest locations on the             composition
10x10 km2 grid.
                                                    To study FN animal harvesting attempts,
An RSEA dataset that included                       we mapped the total harvest weight by
transportation, oil, gas, power, mining,            grid. SFN harvests mainly occurred on
forestry, agricultural, fire, pests, and            the northeast side of the Rocky
recreation sites was included. These                Mountains, whereas WMFN harvests
layers were used to analyze how                     occurred further south and on both sides
transportation, industry, recreation                of the Rocky Mountains. We grouped
sites, and natural disturbances affected            the harvested animals into four classes
harvesting.                                         (large mammals, small mammals, fish
2.4 Spatial Analysis                                and birds) and mapped all classes to
                                                    further investigate the harvesting
After the harvest location maps were                patterns in SFN and WMFN. As a larger
produced, ArcGIS spatial analysis tools             community, the SFN’s food harvest was
were deployed to investigate animal                 correspondingly higher than WMFN,
harvesting patterns.                                whereas the WMFN’s harvesting was
                                                    more diverse with a higher percentage of
Hotspot analysis: Centroids were
                                                    fish and a lower percentage of large
extracted from the 10km survey grids for
                                                    mammals. These maps were not shown
geostatistical   analyses.    Empirical
                                                    here because of confidentiality concern.
semivariogram and Moran’s I from
ArcGIS were used to reveal the spatial              3.2 Harvesting hotspot analysis
autocorrelation pattern present in the              Empirical semivariogram showed the
dataset. Kernel density map was created             range value of 98km for the harvesting
in ArcGIS to visualize the harvest                  dataset (weight in kg). Moran’s I
hotspots (quartic kernel, radius of                 suggested      significant   aggregation
20km, alpha channel applied).                       pattern (Z-score=22.0, p<0.01). Kernel
                                                    density map was rendered to further
Moose harvest: The BC Government
                                                    illustrate the hotspots of FN harvesting.
shared historical licensed sport hunters’
                                                    The hotspot map showed a similar
reported moose kills per management
                                                    pattern with both SFN and WMFN
unit (MU). The FN moose harvesting
                                                    harvesting near their communities and
was spatially aggregated by the MUs to
                                                    farther north. They were expected to
compare with sport hunting to study
                                                    have hotspots near their communities
how FNs’ moose hunting was affected by
                                                    due to the spatial proximity of their
sport hunting.
                                                    communities. We suspected, and later
5 | FN Environmental Livelihoods Value Assessment


confirmed by First Nation collaborators,
that the northern hotspots (200 km
north of the SFN and WMFN
communities) are the result of changing
of    wildlife     habits caused     by
industrialization.

3.3 Moose harvest
As the main food source for FNs, moose
were used as an example to illustrate the
pressure of sport hunting asserted on                  Figure 4 Moose killed by sport hunters in the nearby 16
SFN and WMFN. Historical sport                                        MUs from 2007-2017.
hunting data shows that on average
1000 moose were killed in the nearby 16                3.4 Harvest barrier
MUs yearly (Figure 4). In 2017, sport
hunters killed roughly twice as many                   Figure 5 represents hotspots where
moose than the FNs in the nearby five                  people have expressed concerns about
management units. Most of the sport                    harvesting activities. The greatest
hunting occurred on the east side of the               concerns were near FN communities
study area, where SFN and WMFN are                     and toward the south. The results will be
located (Figure 3).                                    combined with the RSEA dataset of
                                                       industry,    recreation     sites,   and
                                                       transportation    to    visualize   how
                                                       disturbances affect FN hunting patterns.




Figure 3 Map of moose killed by sport hunting versus
    FNs’ wild game in the surrounding 16 MUs.
                                                         Figure 5 Concern level of FNs for hunting barrier.
6 | FN Environmental Livelihoods Value Assessment


4. Conclusion                                              Policy and Management (Vol.
                                                           13).
To assess the livelihood of FNs in an                      https://doi.org/10.1142/S146433
ecologically    sensitive   region     in                  3211003936
northeastern BC, this study conducted
structured surveys and developed a                  Jones, J. P. G., Andriamarovololona, M.
comprehensive      geodatabase.     Data                   M., Hockley, N., Gibbons, J. M.,
collection and publishing respect the                      & Milner-Gulland, E. J. (2008).
Data Sharing and Confidentiality                           Testing the use of interviews as a
Agreement. Trust and relationship                          tool for monitoring trends in the
building were an anticipated outcome of
                                                           harvesting of wild species.
this collaborative process. The spatial
                                                           Journal of Applied Ecology,
analyses allow researchers to answer
important questions for the RSEA. SFN                      45(4),                 1205–1212.
and WMFN exhibited similar harvest                         https://doi.org/10.1111/j.1365-
hotspots, where significant hunting                        2664.2008.01487.x
occurred close to their communities.
                                                    Statistics Canada. (2016a). East Moberly
Our findings represent an opportunity
for FNs to protect vital aspects of their                   Lake 169, Indian reserve [Census
land-based culture and to work with the                     subdivision], British Columbia
Government of British Columbia in a                         and Peace River, Regional
more meaningful and informed manner                         district [Census division], British
concerning future planning decisions.                       Columbia.      Retrieved      from
                                                            https://www12.statcan.gc.ca/cen
                                                            sus-recensement/2016/dp-
                                                            pd/prof/details/page.cfm?Lang=
Acknowledgements                                            E&Geo1=CSD&Code1=5955801&
Funding for this research was provided                      Geo2=CD&Code2=5955&Data=C
by the British Columbia Ministry of                         ount&SearchText=moberly%20l
Forests, Lands and Natural Resource                         ake&SearchType=Contains&Sear
Operations. We are grateful for their                       chPR=01&B1=All&TABID=1
support and for the support provided by
                                                    Statistics Canada. (2016b). West
the RSEA Management Committee. The
                                                            Moberly Lake 168A, Indian
authors also thank FN members who
                                                            reserve [Census subdivision],
participated in this project, and staff at
                                                            British Columbia and Peace
the Spatial Initiative, the Social Sciences
                                                            River, Regional district [Census
Research laboratories (SSRL), and the
                                                            division],  British    Columbia.
University of Saskatchewan.
                                                            Retrieved                   from
                                                            https://www12.statcan.gc.ca/cen
                                                            sus-recensement/2016/dp-
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