Abstract
There is lack of guidelines helping land managers to locate suitable areas for planting new shelterbelt agroforestry systems on their landbases. The goal of this study was to create land suitability maps for deciduous, coniferous, and shrub shelterbelt agroforestry systems establishment across a wide range of climatic and soil zones of Saskatchewan, Canada. Spatial shelterbelt data and a suite of 50 predictor variables were analyzed using multivariate principal component analysis (PCA), principal component regression (PCR), fuzzy logic analysis, and GIS mapping techniques. Fifty spatial datasets were used as shelterbelt establishment predictor variables (4 groups): 21 climate (1980–2010 normals), 13 land management, 14 soils, and 2 topographic criteria. A shelterbelt carbon inventory spatial layer was used as the shelterbelt establishment indicator dataset. Using PCA and PCR analyses, the overall importance (cumulative loading: positive or negative) of all predictor variables was determined and used to create shelterbelt suitability maps by means of weighted-sum overlays in GIS. Statistically significant positive correlations between mapped shelterbelt suitability levels and observed mean shelterbelt carbon stocks were used to evaluate the resulting deciduous (4.86 million hectares (Mha) study area; p = 0.0033, R2 = 0.79), coniferous (1.96 Mha; p = 0.0008, R2 = 0.77), and shrub suitability maps (2.06 Mha; p = 0.0002, R2 = 0.83). Additional 8.76, 7.90, and 9.77 Mha were identified as suitable for planting future deciduous, coniferous, and shrub shelterbelt systems, respectively, mapped as above-average or high suitability land. Shelterbelt suitability mapping is a means to delineating and ranking the land across large landscapes. The approach employed in this study can benefit other afforestation and agroforestry adoption studies across Canada and the world.
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Agriculture and Agri-Food Canada (AAFC) (2013a) Plant Hardiness Zones of Canada 2000. https://open.canada.ca/data/en/dataset/689ecba9-4d19-4ea4-ba60-9b1c109f9a53. Accessed 7 Feb 2019
Agriculture and Agri-Food Canada (AAFC) (2013b) Soil landscapes of Canada Version 3.2. https://open.canada.ca/data/en/dataset/5ad5e20c-f2bb-497d-a2a2-440eec6e10cd. Accessed 7 Feb 2019
Agriculture and Agri-Food Canada (AAFC) (2015a) Annual Crop Inventory 2015. https://open.canada.ca/data/en/dataset/3688e7d9-7520-42bd-a3eb-8854b685fef3. Accessed 7 Feb 2019
Agriculture and Agri-Food Canada (AAFC) (2015b) Soils of Canada, derived. https://open.canada.ca/data/en/dataset/8f496e3f-1e54-4dbb-a501-a91eccf616b8. Accessed 7 Feb 2019
Agriculture and Agri-Food Canada (AAFC) (2016a) Agri-Environmental Indicator (AEI)—Agricultural Greenhouse Gas (GHG) Budget. https://open.canada.ca/data/en/dataset/5c9800f3-443d-4e4e-9df2-f0c1c0f54f85. Accessed 7 Feb 2019
Agriculture and Agri-Food Canada (AAFC) (2016b) Agri-Environmental Indicator (AEI)—risk of wind erosion on cultivated land. https://open.canada.ca/data/en/dataset/c6fcba04-d520-49f5-b00d-54aafac46a83. Accessed 7 Feb 2019
Agriculture and Agri-Food Canada (AAFC) (2016c) Gridded soil landscapes of Canada. https://open.canada.ca/data/en/dataset/cb29b370-3639-4645-9ef9-b1ef131837b7. Accessed 7 Feb 2019
Agriculture and Agri-Food Canada Soil Landscapes of Canada (SLC) Working Group (AAFC) (2010) Soil landscapes of Canada v3.2 (digital map and database at 1:1 million scale). http://sis.agr.gc.ca/cansis/nsdb/slc/index.html. Accessed 7 Feb 2019
Amichev BY, Bentham MJ, Cerkowniak D et al (2015) Mapping and quantification of planted tree and shrub shelterbelts in Saskatchewan, Canada. Agrofor Syst 89:49–65
Amichev BY, Bentham MJ, Kurz WA et al (2016) Carbon sequestration by white spruce shelterbelts in Saskatchewan, Canada: 3PG and CBM-CFS3 model simulations. Ecol Model 325:35–46
Amichev BY, Bentham MJ, Kulshreshtha SN et al (2017) Carbon sequestration and growth of six common tree and shrub shelterbelts in Saskatchewan, Canada. Can J Soil Sci 97:368–381
Amichev BY, Volk TA, Hangs RD, Bélanger N, Vujanovic V et al (2018) Growth, survival, and yields of 30 short-rotation willow cultivars on the Canadian Prairies: 2nd rotation implications. New For 49(5):649–665. https://doi.org/10.1007/s11056-018-9650-8
Caniani D, Lioi DS, Mancini IM, Masi S (2011) Application of fuzzy logic and sensitivity analysis for soil contamination hazard classification. Waste Manag 31:583–594. https://doi.org/10.1016/j.wasman.2010.09.012
Caniani D, Labella A, Lioi DS et al (2016) Habitat ecological integrity and environmental impact assessment of anthropic activities: a GIS-based fuzzy logic model for sites of high biodiversity conservation interest. Ecol Ind 67:238–249. https://doi.org/10.1016/j.ecolind.2016.02.038
Davis EL, Laroque CP, Van Rees K (2013) Evaluating the suitability of nine shelterbelt species for dendrochronological purposes in the Canadian Prairies. Agrofor Syst 87:713–727
Ens J, Farrell RE, Bélanger N (2013) Effects of edaphic conditions on site quality for Salix purpurea ‘Hotel’ plantations across a large climatic gradient in Canada. New Forest 44(6):899–918. https://doi.org/10.1007/s11056-013-9384-6
Howe JAG (1986) One hundred years of prairie forestry. Prairie Forum 11:243–251
Joss B, Hall R, Sidders D, Keddy T (2008) Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada. Environ Monit Assess 141:79–96
Kulshreshtha S, Van Rees K, Hesseln H et al (2011) Issues in agroforestry development on the Canadian Prairies. In: Kellimore L (ed) Handbook on agroforestry: management practices and environmental impact. Nova Science Publishers, Hauppauge, pp 91–127
Mayrinck RC, Laroque CP, Amichev BY, Van Rees K (2019) Above- and Below-Ground Carbon Sequestration in Shelterbelt Trees in Canada: a Review. Forests 10(10):922. https://doi.org/10.3390/f10100922
Pennsylvania State University (2019) Stat 505 applied multivariate statistical analysis: lesson 11 principal component analysis. https://onlinecourses.science.psu.edu/stat505/node/49/. Accessed 15 Feb 2019
Piwowar JM, Amichev BY, Van Rees KCJ (2017) The Saskatchewan shelterbelt inventory. Can J Soil Sci 97:433–438
Prairie Shelterbelt Program (2019) Producer of shelterbelt trees, based in Sundre, Alberta, Canada. http://www.prairieshelterbeltprogram.ca/. Accessed 15 Feb 2019
Régnière J, Saint-Amant R, Béchard A (2014) BioSIM 10 Tutorial (BioSIM software version 10.3). Natural Resources Canada, Canadian Forest Service—Laurentian Forestry Centre
Rempel JC, Kulshreshtha SN, Amichev BY, Van Rees KCJ (2017) Costs and benefits of shelterbelts: a review of producers’ perceptions and mind map analyses for Saskatchewan, Canada. Can J Soil Sci 97:341–352
Schroeder WR, Naeem H (2017) Effect of weed control methods on growth of five temperate agroforestry tree species in Saskatchewan. The Forestry Chronicle 93:271–281. https://doi.org/10.5558/tfc2017-035
Sealey LL, Amichev BY, Van Rees KCJ (2019) Quantifying cumulative effects of harvesting on aspen regeneration through fuzzy logic suitability mapping. Soil Sci Soc Am J 83(s1):S187–S200. https://doi.org/10.2136/sssaj2018.09.0355
Statistics Canada Work Group (2016) Census of Agriculture. http://www.statcan.gc.ca/eng/ca2016. Accessed 7 Feb 2019
Tree Time Services Inc. (2019) Producer of shelterbelt trees, based in Edmonton, Alberta, Canada. http://treetime.ca/. Accessed 15 Feb 2019
USGS EROS (2000) Digital Elevation - Shuttle Radar Topography Mission (SRTM). https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-shuttle-radar-topography-mission-srtm?qt-science_center_objects=0#qt-science_center_objects. Accessed 7 Feb 2019
Xie LW, Zhong J, Chen FF et al (2015) Evaluation of soil fertility in the succession of karst rocky desertification using principal component analysis. Solid Earth 6:515–524. https://doi.org/10.5194/se-6-515-2015
Acknowledgements
This research was done by a team of researchers at the Centre for Northern Agroforestry and Afforestation at the University of Saskatchewan. Funding was provided by Agriculture and Agri-Food Canada (AAFC)’s Agricultural Greenhouse Gases Program (AGGP). We thank the AAFC Agroforestry Development Centre at Indian Head, SK for providing the shelterbelt tree database. We are grateful to D. Cerkowniak of AAFC at Saskatoon, SK for technical advice with the Soil Landscapes of Canada dataset, and J. Piwowar of the University of Regina for the digitized shelterbelts dataset.
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Four tables are provided with detailed descriptions of 21 climate (Table S1), 13 land management (Table S2), 14 soils (Table S3), and 2 topography (Table S4) variables used to assess and map land suitability for shelterbelt establishment in the agricultural region of Saskatchewan, Canada. (PDF 171 kb)
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Amichev, B.Y., Laroque, C.P., Belcher, K.W. et al. Shelterbelt systems establishment in Saskatchewan, Canada: a multi-criteria fuzzy logic approach to land suitability mapping. New Forests 51, 933–963 (2020). https://doi.org/10.1007/s11056-019-09766-1
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DOI: https://doi.org/10.1007/s11056-019-09766-1