=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==
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- References pd/prof/details/page.cfm?Lang= E&Geo1=CSD&Code1=5955802 Booth, A. L., & Skelton, N. W. (2011). &Geo2=CD&Code2=5955&Data “We Are Fighting for Ourselves” =Count&SearchText=moberly%2 — gs’ Evaluation of British 0lake&SearchType=Contains&Se Columbia and Canadian archPR=01&B1=All&TABID=1 Environmental Assessment Processes. Journal of Statistics Canada. (2016c).McLeod Lake Environmental Assessment 1, Indian reserve [Census 7 | FN Environmental Livelihoods Value Assessment subdivision], British Columbia and Fraser-Fort George, Regional district [Census division], British Columbia Retrieved from https://www12.statcan.gc.ca/cen sus-recensement/2016/dp- pd/prof/details/page.cfm?Lang= E&Geo1=CSD&Code1=5953802 &Geo2=CD&Code2=5953&Data =Count&SearchText=mcleod%2 0lake&SearchType=Contains&Se archPR=01&B1=All&TABID=1 Bodgan A.M., Li M., Natcher D., Rice A., Shen R., Zeng W.P., Disano. J., Bell S.(2019). Examining the Relationship Between Spatial and Social Proximity in First Nation Food Sharing. Spa-tial Knowledge and Information Canada paper proceedings, 9