Emerging vistas of Remote Sensing Tools in Pollination Studies
DOI:
https://doi.org/10.13102/sociobiology.v66i3.4266Keywords:
LiDAR, pollinators, remote sensing, sensors, unmanned aerial vehiclesAbstract
With the growth of information and technology across the globe, remote sensing applications find a place in the ecological studies of pollinators. The utilization of remote sensing tools in understanding the ecosystem services rendered by the bee pollinators is reviewed here. We discussed how radar and radio telemetry techniques helps to track individual bees, their foraging behaviour and density in relation to altered phenology of flowering crops in a landscape. Role of satellite imagery tools in studying characterizing a landscape affected by anthropogenic factors was discussed. Monitoring invasive bee species that cause a threat to native bee fauna was explored. We explained the utilization of unmanned aerial vehicles to map the floral resource that influence the density and incidence of pollinators. Remote sensing tools used to measure sequence of pollination events was discussed.Downloads
References
Amala, U., & Shivalingaswamy, T.M. (2018). Nesting biology, seasonality and host range of sweat bee, Hoplonomia westwoodi (Gribodo) (Hymenoptera: Halictidae: Nomiinae), Sociobiology 65(3): 491-496.
Anderson, K., & Gaston, K.J. (2013). Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Frontiers in Ecology and the Environment, 11: 138-146.
Bauer, A., Paar, G., & Kaltenbock, A. (2005). Mass Movement Monitoring Using Terrestrial Laser Scanner for Rock Fall Management, in: Geo-information for Disaster Management, edited by: van Oosterom, P., Zlatanova, S., and Fendel, E. M., Springer, Berlin, 393-406.
Brosi, B.J., Daily, G.C., Shih, T.M., Oviedo, F., & Durán, G. (2007). The effects of forest fragmentation on bee communities in tropical countryside. Journal of Applied Ecology, 45:773-783.
Brown, M.J.F., & Paxton, R.J. (2009). The conservation of bees: a global perspective. Apidologie, 40: 410-416.
Chapman, J.W., Drake, V.A., & Reynolds, D.R. (2011). Recent insights from radar studies of insect flight. Annual Review of Entomology, 56:337-356.
Diao, C., & Wang, L. (2014). Development of an invasive species distribution model with fine-resolution remote sensing. International Journal of Applied Earth Observation and Geoinformation, 30: 65-75. doi: 10.1016/j.jag.2014.01.015.
Dohzono, I., & Yokoyama, J. (2010). Impacts of alien bees on native plant-pollinator relationships: a review with special emphasis on plant reproduction. Applied Entomology and Zoology, 45: 37-47.
Dong, J., Kaufmann, R.K., Myneni, R.B., Tucker, C.J., Kauppi, P.E., Liski, J., Buermann, W., Alexeyev, V., & Hughes, M.K. (2003). Remote sensing estimates of boreal and temperate forest woody biomass: carbon pools, sources, and sinks. Remote Sensing of Environment, 84(3): 393-410. doi: 10.1016/S0034-4257(02)00130-X.
Eberhardt, I.D.R., Schultz, B., Rizzi, R., Sanches, I.D.A., Formaggio, A.R., Atzberger, C., Mello, M.P., Immitzer, M., Trabaquini, K., & Foschiera, W. (2016). Cloud cover assessment for operational crop monitoring systems in tropical areas. Remote Sensing, 8: 219.
Freitas, B.M., Imperatriz-Fonseca, V.L., Medina, L.M., Kleinert, A.M.P., Galetto, L., Parra G.N., & Euan, J.J.E.Q. 2009. Diversity, threats and conservation of native bees in the Neotropics. Apidologie, 40: 332-346.
Galbraith, S.M., Vierling, L.A. & Bosque-Pérez, N.A. (2015). Remote Sensing and ecosystem services: current status and future opportunities for the study of bees and pollination-related services. Current Forestry Reports, 1: 261. doi: 10.1007/s40725-015-0024-6
Hagen, M., Wikelski, M., & Kissling, W.D. (2011). Space use of bumblebees (Bombus spp.) revealed by radio-tracking. PLoS ONE 6(5): e19997. doi: 10.1371/journal.pone.001999
Hoffman, D.S., Nehrir, A.R., Repasky, K.S., Shaw, J.A., & Carlsten, J.L. (2007). Range-resolved optical detection of honeybees by use of wing-beat modulation of scattered light for locating land mines. Applied Optics, 46: 3007-3012.
Klein, A.M., Vaissiere, B.E., Cane, J.H., Steffan-Dewenter, I., Cunningham, S.A., Kremen, C., Tscharntke, T. (2007). Importance of pollinators in changing landscapes for world crops. Proceedings of the Royal Society B: Biological Sciences, 274(1608): 303–313. doi: 10.1098/rspb.2006.3721
Landis, D.A. (2017). Designing agricultural landscapes for biodiversity-based ecosystem services. Basic and Applied Ecology, 18: 1-12.
Martinuzzi, S., Vierling, L.A., Gould, W.A., Falkowski, M.J., Evans, J.S., Hudak, A.T., Vierling, K.T. (2009). Mapping snags and understory shrubs for a LiDAR-based assessment of wildlife habitat suitability. Remote Sensing of Environment, 113:2533-2546.
Mulla, D.J. (2013). Twenty five years of remote sensing in precision agriculture: key advances and remaining knowledge gaps. Biosystems Engineering, 114(4):358-371. doi: 10.1016/j.biosystemseng.2012.08.009.
Newton, A.C., Hill, R.A., Echeverria, C., Golicher, D., Rey, Benayas, J.M., Cayuela L., & Hinsley, S.A. (2009). Remote sensing and the future of landscape ecology. Progress in Physical Geography: Earth and Environment, 33: 528-546.
Nightingale, J. M., Esaias, W. E., Wolfe, R. E., Nickeson, J. E., & Ma, P. L. (2008). Assessing Honey Bee Equilibrium Range and Forage Supply using Satelite-Derived Phenology. In Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International (Vol. 3, pp. III-763). IEEE.
Osborne, J.L., Clark, S.J., Morris, R.J., Williams, I.H., Riley, J.R., Smith, A.D., Reynolds, D. R., & Edwards, A.S. (1999). A landscape-scale study of bumble bee foraging range and constancy, using harmonic radar. Journal of Applied Ecology, 36: 519-533.
Potts, S.G., Biesmeijer, J.C., Kremen, C., Neumann, P., Schweiger, O., & Kunin, W.E. (2010). Global pollinator declines: trends, impacts and drivers. Trends in Ecology & Evolution, 25: 345-353.
Riley, J.R. (1989). Remote sensing in entomology. Annual Review of Entomology, 34: 247-71.
Rosser, N. J., Petley, D. N., Lim, M., Dunning, S. A., & Allison, R. J. (2005). Terrestrial laser scanning for monitoring the process of hard rock coastal cliff erosion, Quarterly Journal of Engineering Geology and Hydrogeology, 38(4): 363-375.
Sanchez Azofeifa, A., Rivard, B., Wright, J., Feng, J.L., Li, P., Chong, M.M., & Bohlman, S.A. (2011). Estimation of the distribution of Tabebuia guayacan (Bignoniaceae) using high-resolution remote sensing imagery. Sensors, 11: 3831-3851.
Strand, E.K., Vierling, L.A., Smith, A.M.S., & Bunting, S.C. (2008). Net changes in aboveground woody carbon stock in western juniper woodlands, 1946–1998. Journal of Geophysical Research, 113: 1-13.
Suetsugu, K., & Hayamizu M. (2014). Moth floral visitors of the three rewarding Platanthera orchids revealed by interval photography with a digital camera. Journal of Natural History, 48: 1103-1109.
Thorp, K., & Dierig, D. (2011). Color image segmentation approach to monitor flowering in lesquerella. Industrial Crops and Products, 34: 1150-1159.
Tuell, J.K., Fiedler, A.K., Landis, D., & Isaacs, R. (2008). Visitation by wild and managed bees (Hymenoptera: Apoidea) to Eastern U.S. Native plants for use in conservation programs. Environmental Entomology, 37: 707-718.
Wikelski, M., Moxley, J., Eaton-Mordas, A., López-Uribe, M.M., Holland, R., Moskowitz, D., Roubik, D.W., & Kays, R. (2010). Large-range movements of neotropical orchid bees observed via radio telemetry. PLoS One, 5: 5-10.
Xavier, S.S., Coffin, A.W., Olson, D.M., & Schmidt, J.M. (2018). Remotely estimating beneficial arthropod populations: implications of a low-cost small unmanned aerial system. Remote Sensing 10(9): 1485. doi: 10.3390/rs10091485
Zhang, C., & Kovacs, J.M. (2012). The application of small unmanned aerial systems for precision agriculture: A review. Precision Agriculture, 13: 693-712.
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