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References
Asadian, Y., & Weiler, M. (2009). A new approach in measuring rainfall interception by urban trees in coastal British Columbia. Water quality research journal of Canada, 44(1), 16.
Cassandra. (2014). Pocket LAI. Retrieved from: http://www.cassandralab.com/mobiles/1
Confalonieri, R., Foi, M., Casa, R., Aquaro, S., Tona, E., Peterle, M., … Acutis, M. (2013). Development of an app for estimating leaf area index using a smartphone. Trueness and precision determination and comparison with other indirect methods. Computers and Electronics in Agriculture, 96, 67–74. http://doi.org/10.1016/j.compag.2013.04.019
Decagon Devices, Inc. (2015). ACCUPAR LP-80. Retrieved from: http://www.decagon.com/en/canopy/canopy-measurements/accupar-lp-80/
Diamond Head Consulting Ltd. (2016). Urban Forest Climate Adaptation Framework for Metro Vancouver. Retrieved from: http://www.metrovancouver.org/services/regional-planning/PlanningPublications/UrbanForestClimateAdaptationFrameworkTreeSpeciesSelection.pdf
Environment Canada. (2015). Historical Data. Retrieved from: http://climate.weather.gc.ca/historical_data/search_historic_data_e.html
Francone, C., Pagani, V., Foi, M., Cappelli, G., & Confalonieri, R. (2014). Comparison of leaf area index estimates by ceptometer and PocketLAI smart app in canopies with different structures. Field Crops Research, 155, 38–41. http://doi.org/10.1016/j.fcr.2013.09.024
Gash, J. H. C. (1979). An analytical model of rainfall interception by forests. Quarterly Journal of the Royal Meteorological Society, 105(443), 43-55.
Gash, J. H. C., & Morton, A. J. (1978). An application of the Rutter model to the estimation of the interception loss from Thetford Forest. Journal of Hydrology, 38(1-2), 49–58. http://doi.org/10.1016/0022-1694(78)90131-2
Hawkey, J. (2013). Intergration and Application Network. Retrieved from: http://ian.umces.edu/imagelibrary/displayimage-8170.html
Ibáñez, I., Primack, R. B., Miller-Rushing, A. J., Ellwood, E., Higuchi, H., Lee, S. D., … Silander, J. A. (2010). Forecasting phenology under global warming. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 365(1555), 3247–60. http://doi.org/10.1098/rstb.2010.0120
Klaasen, W., Bosveld, F., & de Water, E. (1995). Water storage and evoporation as constituents of rainfall interception. Journal of Hydrology, 212-213, 36–50. http://doi.org/10.1016/S0022-1694(98)00200-5
LI-COR Biosciences. (2010). Using LAI-2200 in Sunny Conditions. Retrieved from: http://www.licor.com/env/newsline/tag/lai-2000/
Link, T. E., Unsworth, M., & Marks, D. (2004). The dynamics of rainfall interception by a seasonal temperate rainforest. Agricultural and Forest Meteorology, 124(3-4), 171–191. http://doi.org/10.1016/j.agrformet.2004.01.010
Maas, J., Verheij, R. A., Vries, S. De, Spreeuwenberg, P., Schellevis, F. G., & Groenewegen, P. P. (2009). Morbidity is related to a green living environment. Journal of Epidemiology and Community Health, 63(12), 967–973. doi:10.1136/jech.2008.079038
Maller, C., Townsend, M., Pryor, A., Brown, P., & St Leger, L. (2006). Healthy nature healthy people: contact with nature as an upstream health promotion intervention for populations. Health Promotion International, 21(1), 45–54. doi:10.1093/heapro/dai032
McPherson, G. E., Nowak, D. J., & Rowntree, R. A. (1994). Chicago's urban forest ecosystem: results of the Chicago Urban Forest Climate Project.
McPherson, E. G., van Doorn, N., & de Goede, J. (2016). Structure, function and value of street trees in California, USA. Urban Forestry and Urban Greening, 17, 104–115.
Nanko, K., Hotta, N., & Suzuki, M. (2006). Evaluating the influence of canopy species and meteorological factors on throughfall drop size distribution. Journal of Hydrology, 329(3-4), 422–431. http://doi.org/10.1016/j.jhydrol.2006.02.036
Nanko, K., Watanabe, A., Hotta, N., & Suzuki, M. (2013). Physical interpretation of the difference in drop size distributions of leaf drips among tree species. Agricultural and Forest Meteorology, 169, 74–84. http://doi.org/10.1016/j.agrformet.2012.09.018
National Aeronautics and Space Administration. (2016) Prediction of Worldwide Energy Resource (POWER). Retrieved from: http://power.larc.nasa.gov/cgi-bin/hirestimeser.cgi
Nesbitt, N. H. L., Cowan, S. B. J., Cheng, Z. C., PI, S. S., & Neuvonen, J. (2015). The Social and Economic Values of Canada’s Urban Forests: A National Synthesis.
Nowak, D. J., Hoehn, R. E. I., Bodine, A. R., Crane, D. E., Dwyer, J. F., Bonnewell, V., & Watson, G. (2013). Urban Trees and Forests of the
Chicago Region. U.S. Forest Service, 1–114.
Orlando, F., Movedi, E., Paleari, L., Gilardelli, C., Foi, M., Dell’Oro, M., & Confalonieri, R. (2015). Estimating leaf area index in tree species using the PocketLAI smart app. Applied Vegetation Science, 18(4), 716–723. http://doi.org/10.1111/avsc.12181
Polgar, C., & Primack, R. (2011). Leaf-out dates highlight a changing climate. Arnoldia, 68(4), 14-22.
Rodriguez, H. G., Maiti, R., & Sarkar, N. C. (2014). Phenology of Woody Species: a Review. International Journal of Bio-Resource and Stress Management, 5(3), 436. http://doi.org/10.5958/0976-4038.2014.00595.8
Sanders, R. A. (1986). Urban vegetation impacts on the hydrology of Dayton, Ohio. Urban Ecology, 9(3), 361-376.
Texas A&M Forest Service. (2014). Trees Texas: List of Trees. Retrieved from: http://texastreeid.tamu.edu/content/listOfTrees/
Xiao, Q., & McPherson, E. G. (2003). Rainfall interception by Santa Monica's municipal urban forest. Urban Ecosystems, 6(4), 291-302.
Xiao, Q., & McPherson, E. G. (2016). Surface Water Storage Capacity of Twenty Tree Species in Davis, California. Journal of Environmental Quality, 45(1), 188–198. http://doi.org/10.2134/jeq2015.02.0092
Xiao, Q., McPherson, E. G., Ustin, S. L., & Grismer, M. E. (2000). A new approach to modeling tree rainfall interception. Journal of Geophysical Research, 105(D23), 29-173
Cassandra. (2014). Pocket LAI. Retrieved from: http://www.cassandralab.com/mobiles/1
Confalonieri, R., Foi, M., Casa, R., Aquaro, S., Tona, E., Peterle, M., … Acutis, M. (2013). Development of an app for estimating leaf area index using a smartphone. Trueness and precision determination and comparison with other indirect methods. Computers and Electronics in Agriculture, 96, 67–74. http://doi.org/10.1016/j.compag.2013.04.019
Decagon Devices, Inc. (2015). ACCUPAR LP-80. Retrieved from: http://www.decagon.com/en/canopy/canopy-measurements/accupar-lp-80/
Diamond Head Consulting Ltd. (2016). Urban Forest Climate Adaptation Framework for Metro Vancouver. Retrieved from: http://www.metrovancouver.org/services/regional-planning/PlanningPublications/UrbanForestClimateAdaptationFrameworkTreeSpeciesSelection.pdf
Environment Canada. (2015). Historical Data. Retrieved from: http://climate.weather.gc.ca/historical_data/search_historic_data_e.html
Francone, C., Pagani, V., Foi, M., Cappelli, G., & Confalonieri, R. (2014). Comparison of leaf area index estimates by ceptometer and PocketLAI smart app in canopies with different structures. Field Crops Research, 155, 38–41. http://doi.org/10.1016/j.fcr.2013.09.024
Gash, J. H. C. (1979). An analytical model of rainfall interception by forests. Quarterly Journal of the Royal Meteorological Society, 105(443), 43-55.
Gash, J. H. C., & Morton, A. J. (1978). An application of the Rutter model to the estimation of the interception loss from Thetford Forest. Journal of Hydrology, 38(1-2), 49–58. http://doi.org/10.1016/0022-1694(78)90131-2
Hawkey, J. (2013). Intergration and Application Network. Retrieved from: http://ian.umces.edu/imagelibrary/displayimage-8170.html
Ibáñez, I., Primack, R. B., Miller-Rushing, A. J., Ellwood, E., Higuchi, H., Lee, S. D., … Silander, J. A. (2010). Forecasting phenology under global warming. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 365(1555), 3247–60. http://doi.org/10.1098/rstb.2010.0120
Klaasen, W., Bosveld, F., & de Water, E. (1995). Water storage and evoporation as constituents of rainfall interception. Journal of Hydrology, 212-213, 36–50. http://doi.org/10.1016/S0022-1694(98)00200-5
LI-COR Biosciences. (2010). Using LAI-2200 in Sunny Conditions. Retrieved from: http://www.licor.com/env/newsline/tag/lai-2000/
Link, T. E., Unsworth, M., & Marks, D. (2004). The dynamics of rainfall interception by a seasonal temperate rainforest. Agricultural and Forest Meteorology, 124(3-4), 171–191. http://doi.org/10.1016/j.agrformet.2004.01.010
Maas, J., Verheij, R. A., Vries, S. De, Spreeuwenberg, P., Schellevis, F. G., & Groenewegen, P. P. (2009). Morbidity is related to a green living environment. Journal of Epidemiology and Community Health, 63(12), 967–973. doi:10.1136/jech.2008.079038
Maller, C., Townsend, M., Pryor, A., Brown, P., & St Leger, L. (2006). Healthy nature healthy people: contact with nature as an upstream health promotion intervention for populations. Health Promotion International, 21(1), 45–54. doi:10.1093/heapro/dai032
McPherson, G. E., Nowak, D. J., & Rowntree, R. A. (1994). Chicago's urban forest ecosystem: results of the Chicago Urban Forest Climate Project.
McPherson, E. G., van Doorn, N., & de Goede, J. (2016). Structure, function and value of street trees in California, USA. Urban Forestry and Urban Greening, 17, 104–115.
Nanko, K., Hotta, N., & Suzuki, M. (2006). Evaluating the influence of canopy species and meteorological factors on throughfall drop size distribution. Journal of Hydrology, 329(3-4), 422–431. http://doi.org/10.1016/j.jhydrol.2006.02.036
Nanko, K., Watanabe, A., Hotta, N., & Suzuki, M. (2013). Physical interpretation of the difference in drop size distributions of leaf drips among tree species. Agricultural and Forest Meteorology, 169, 74–84. http://doi.org/10.1016/j.agrformet.2012.09.018
National Aeronautics and Space Administration. (2016) Prediction of Worldwide Energy Resource (POWER). Retrieved from: http://power.larc.nasa.gov/cgi-bin/hirestimeser.cgi
Nesbitt, N. H. L., Cowan, S. B. J., Cheng, Z. C., PI, S. S., & Neuvonen, J. (2015). The Social and Economic Values of Canada’s Urban Forests: A National Synthesis.
Nowak, D. J., Hoehn, R. E. I., Bodine, A. R., Crane, D. E., Dwyer, J. F., Bonnewell, V., & Watson, G. (2013). Urban Trees and Forests of the
Chicago Region. U.S. Forest Service, 1–114.
Orlando, F., Movedi, E., Paleari, L., Gilardelli, C., Foi, M., Dell’Oro, M., & Confalonieri, R. (2015). Estimating leaf area index in tree species using the PocketLAI smart app. Applied Vegetation Science, 18(4), 716–723. http://doi.org/10.1111/avsc.12181
Polgar, C., & Primack, R. (2011). Leaf-out dates highlight a changing climate. Arnoldia, 68(4), 14-22.
Rodriguez, H. G., Maiti, R., & Sarkar, N. C. (2014). Phenology of Woody Species: a Review. International Journal of Bio-Resource and Stress Management, 5(3), 436. http://doi.org/10.5958/0976-4038.2014.00595.8
Sanders, R. A. (1986). Urban vegetation impacts on the hydrology of Dayton, Ohio. Urban Ecology, 9(3), 361-376.
Texas A&M Forest Service. (2014). Trees Texas: List of Trees. Retrieved from: http://texastreeid.tamu.edu/content/listOfTrees/
Xiao, Q., & McPherson, E. G. (2003). Rainfall interception by Santa Monica's municipal urban forest. Urban Ecosystems, 6(4), 291-302.
Xiao, Q., & McPherson, E. G. (2016). Surface Water Storage Capacity of Twenty Tree Species in Davis, California. Journal of Environmental Quality, 45(1), 188–198. http://doi.org/10.2134/jeq2015.02.0092
Xiao, Q., McPherson, E. G., Ustin, S. L., & Grismer, M. E. (2000). A new approach to modeling tree rainfall interception. Journal of Geophysical Research, 105(D23), 29-173