This work is licensed under a Creative Commons Attribution 4.0 International License.
Seasonal Dynamics of Tropical Forest Vegetation in Ngoc Linh Nature Reserve, Vietnam Based on UAV Data
Corresponding Author(s) : Ngo Trung Dung
Forest and Society,
Vol. 5 No. 2 (2021): NOVEMBER
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- Anderson, K., & Gaston, K. (2013). Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Frontiers in Ecology and the Environment, 11, 138-146. https://doi.org/10.1890/120150
- Banu, T., Borlea, G., & Banu, C. (2016). The Use of Drones in Forestry. Journal of Environmental Science and Engineering B, 5. http://dx.doi.org/10.17265/2162-5263/2016.11.007
- Betts, H., Brown, L., & Stewart, G. (2005). Forest canopy gap detection and characterisation by the use of high-resolution Digital Elevation Models. New Zealand Journal of Ecology, 29.
- Bongjoh, C., & Mama, N. (2020). Early regeneration of commercial timber species in a logged-over forest of southern Cameroon. Tropenbos International.
- Brokaw, N., & Busing, R. (2000). Niche versus Chance and Tree Diversity in Forest Gaps. Trends in Ecology & Evolution, 15, 183-188. https://doi.org/10.1016/s0169-5347(00)01822-x
- Brovkina, O., Cienciala, E., Surovy, P., & Janata, P. (2018). Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands. Geo-spatial Information Science, 21, 1-9. http://dx.doi.org/10.1080/10095020.2017.1416994
- Bullock, E., Woodcock, C., & Olofsson, P. (2018). Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis. Remote Sensing of Environment, 238. http://dx.doi.org/10.1016/j.rse.2018.11.011
- Caron, M.-N., Kneeshaw, D., Grandpré, L., Kauhanen, H., & Kuuluvainen, T. (2009). Canopy Gap Characteristics and Disturbance Dynamics in Old-Growth Picea abies Stands in Northern Fennoscandia: Is the Forest in Quasi-Equilibrium? Annales Botanici Fennici, 46, 251-262. https://doi.org/10.5735/085.046.0402
- Chung, C.-H., & Huang, C.-y. (2020). Hindcasting tree heights in tropical forests using time-series unmanned aerial vehicle imagery. Agricultural and Forest Meteorology, 290, 108029. http://dx.doi.org/10.1016/j.agrformet.2020.108029
- Collins, B., Dunne, K., & Pickett, S. T. A. (1985). Responses of Forest Herbs to Canopy Gaps. The Ecology of Natural Disturbance and Patch Dynamics. https://doi.org/10.1016/B978-0-08-050495-7.50017-X
- Csillik, O., Kumar, P., & Asner, G. (2020). Challenges in Estimating Tropical Forest Canopy Height from Planet Dove Imagery. Remote Sensing, 12, 1160. https://doi.org/10.3390/rs12071160
- Denslow, J. S. (1987). Tropical Rainforest Gaps and Tree Species Diversity. Annual Review of Ecology and Systematics, 18(1), 431-451. https://doi.org/10.1146/annurev.es.18.110187.002243
- Elhag, M. (2015). Tropical Forests Mapping of Bioko Island Using Remote Sensing Techniques. Journal of King Abdulaziz University - Meteorology, Environment and Arid Land Agriculture Sciences, 26, 95-109. http://dx.doi.org/10.4197/Met.26-2.10
- Elliott, S., Baker, P., & Borchert, R. (2006). Leaf flushing during the dry season: The paradox of Asian monsoon forests. Global Ecology and Biogeography, 15, 248-257. https://doi.org/10.1111/j.1466-8238.2006.00213.x
- Elliott, S., Caldas, L., Nicolossi, G., Coradin, V., & Borchert, R. (2002). Increasing day-length induces flushing of tropical dry forest trees in the absence of rain. Trees, 16, 445-456. https://doi.org/10.1007/s00468-002-0185-3
- Eysenrode, D., Kockelbergh, F., Bogaert, J., Impens, I., & Hecke, P. (2002). Canopy gap edge determination and the importance of gap edges for plant diversity. Web Ecology, 3, 1-5. http://dx.doi.org/10.5194/we-3-1-2002
- Fernandez-Diaz, J., Carter, W., Shrestha, R., & Glennie, C. (2020). LiDAR REmote Sensing. In J. N. Pelton, S. Madry, S. Camacho-Lara (eds.), Handbook of Satellite Applications (pp. 1-52). Springer International Publishing.
- Forman, R., & Collinge, S. (1997). Nature conserved in changing landscapes with and without spatial planning. Landscape and Urban Planning, 37, 129-135. http://dx.doi.org/10.1016/S0169-2046(96)00378-7
- Gagnon, J., Jokela, E., Moser, W., & Huber, D. (2003). Characteristics of gaps and natural regeneration in mature longleaf pine flatwoods ecosystems. Forest Ecology and Management, 187, 373-380. http://dx.doi.org/10.1016/j.foreco.2003.07.002
- Getzin, S., Nuske, R., & Wiegand, K. (2014). Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests. Remote Sensing, 6, 6988-7004. http://dx.doi.org/10.3390/rs6086988
- Gray, A., Spies, T., & Easter, M. (2002). Microclimatic and soil moisture responses to gap formation in coastal Douglas-fir forests. Canadian Journal of Forest Research-revue Canadienne De Recherche Forestiere, 32, 332-343. https://doi.org/10.1139/x01-200
- Hart, J., & Grissino-Mayer, H. (2009). Gap-scale disturbance processes in secondary hardwood stands on the Cumberland Plateau, Tennessee, USA. Forest Ecology: Recent Advances in Plant Ecology, 131-146. http://dx.doi.org/10.1007/s11258-008-9488-9
- Hopkinson, C., & Chasmer, L. E. (2007). Modelling Canopy Gap Fraction from Lidar Intensity. In Proceedings of ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, Espoo, Finland, September 12–14, 2007; In The International Archives of the Photogrammetry and Remote Sensing and Spatial Information Sciences. ISPRS: Vienna, Austria, Vol. XXXVI, Part 3/W52. pp. 190–194.
- Hubbell, S.P. and Foster, R.B. (1986) Canopy Gaps and the Dynamics of a Neotropical Forest. In Crawley, M.J., (Ed.) Plant Ecology. pp. 77-96. Blackwell.
- Jr, E. H., Doraiswamy, P., McMurtrey, J., Daughtry, C., Perry, E., & Akhmedov, B. (2013). A visible band index for remote sensing leaf Chlorophyll content at the Canopy Scale. International Journal of Applied Earth Observation and Geoinformation, 21, 103–112. https://doi.org/10.1016/j.jag.2012.07.020
- Kimmins, J. (2004). Emulating Natural Forest Disturbance: What Does This Mean? In Perera A., Buse L., & Weber M. (Eds.), Emulating Natural Forest Landscape Disturbances: Concepts and Applications (pp. 8-28). Columbia University Press.
- Kirchner, N., Hutter, K., Jakobsson, M., & Gyllencreutz, R. (2011). Capabilities and limitations of numerical ice sheet models: a discussion for Earth-scientists and modelers. Quaternary Science Reviews, 30(25-26), 3691-3704. http://dx.doi.org/10.1016/j.quascirev.2011.09.012
- van der Maarel E. (1988) Vegetation dynamics: patterns in time and space. In: Miles J., Schmidt W., van der Maarel E. (eds) Temporal and Spatial Patterns of Vegetation Dynamics. Advances in vegetation science, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2275-4_1
- Marchi, A., & Paletto, A. (2010). Relationship between forest canopy and natural regeneration in the subalpine spruce-larch forest (north-east Italy). Folia Forestalia Polonica, Series A, 52. http://dx.doi.org/10.5281/zenodo.30770
- Muscolo, A., Bagnato, S., Sidari, M., & Mercurio, R. (2014). A review of the roles of forest canopy gaps. Journal of Forestry Research, 25, 725-736. http://dx.doi.org/10.1007/s11676-014-0521-7
- Muscolo, A., Sidari, M., & Mercurio, R. (2007). Influence of gap size on organic matter decomposition, microbial biomass and nutrient cycle in Calabrian pine (Pinus laricio, Poiret) stands. Forest Ecology and Management, 242, 412-418. http://dx.doi.org/10.1016/j.foreco.2007.01.058
- Ngo, D., Nguyen, H., Dang, C., & Kolesnikov, S. (2020). UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam. E3S Web of Conferences, 203, 03006. http://dx.doi.org/10.1051/e3sconf/202020303006
- Nieschulze, J., Zimmermann, R., A, B., & Schulze, E. D. (2012). An assessment of forest canopy structure by LiDAR: Derivation and stability of canopy structure parameters across forest management types. Forstarchiv, 83, 195-209. http://dx.doi.org/10.4432/0300-4112-83-195
- Nikolaevich, K. A. (2015). Structure and dynamics of monsoon tropical forests of Vietnam. Moscow.
- Rautiainen, M., Heiskanen, J., & Korhonen, L. (2012). Seasonal changes in canopy leaf area index and MODIS vegetation products for a boreal forest site in central Finland. Boreal Environment Research, 17.
- Richards, P. W., Walsh, R. P. D., Baillie, I., & Greg-Smith, P. (1996). The tropical rain forest: An ecological study, Second edition. Cambridge University Press.
- Trung, T. V. (1978). Forest vegetation in Vietnam. Science and Technology Publishing House.
- Watt, A. (1947). Pattern and Process in the Plant Community. Journal of Ecology, 35, 1-22. https://doi.org/10.2307/2256497
- Whitmore, T. (1989). Canopy Gaps and the Two Major Groups of Forest Trees. Ecology, 70(3), 536-538. https://doi.org/10.2307/1940195
- Williams, L., Bunyavejchewin, S., & Baker, P. (2008). Deciduousness in a seasonal tropical forest in western Thailand: Interannual and intraspecific variation in timing, duration and environmental cues. Oecologia, 155, 571-582. https://doi.org/10.1007/s00442-007-0938-1
- Wulder, M., Bater, C., Coops, N., Hilker, T., & White, J. (2008). The role of LiDAR in sustainable forest management. The Forestry Chronicle, 84, 807-826. http://dx.doi.org/10.5558/tfc84807-6
- Zahawi, R., Dandois, J., Holl, K., Nadwodny, D., Reid, J., & Ellis, E. (2015). Using lightweight unmanned aerial vehicles to monitor tropical forest recovery. Biological Conservation, 186, 287–295. http://dx.doi.org/10.1016/j.biocon.2015.03.031
References
Anderson, K., & Gaston, K. (2013). Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Frontiers in Ecology and the Environment, 11, 138-146. https://doi.org/10.1890/120150
Banu, T., Borlea, G., & Banu, C. (2016). The Use of Drones in Forestry. Journal of Environmental Science and Engineering B, 5. http://dx.doi.org/10.17265/2162-5263/2016.11.007
Betts, H., Brown, L., & Stewart, G. (2005). Forest canopy gap detection and characterisation by the use of high-resolution Digital Elevation Models. New Zealand Journal of Ecology, 29.
Bongjoh, C., & Mama, N. (2020). Early regeneration of commercial timber species in a logged-over forest of southern Cameroon. Tropenbos International.
Brokaw, N., & Busing, R. (2000). Niche versus Chance and Tree Diversity in Forest Gaps. Trends in Ecology & Evolution, 15, 183-188. https://doi.org/10.1016/s0169-5347(00)01822-x
Brovkina, O., Cienciala, E., Surovy, P., & Janata, P. (2018). Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands. Geo-spatial Information Science, 21, 1-9. http://dx.doi.org/10.1080/10095020.2017.1416994
Bullock, E., Woodcock, C., & Olofsson, P. (2018). Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis. Remote Sensing of Environment, 238. http://dx.doi.org/10.1016/j.rse.2018.11.011
Caron, M.-N., Kneeshaw, D., Grandpré, L., Kauhanen, H., & Kuuluvainen, T. (2009). Canopy Gap Characteristics and Disturbance Dynamics in Old-Growth Picea abies Stands in Northern Fennoscandia: Is the Forest in Quasi-Equilibrium? Annales Botanici Fennici, 46, 251-262. https://doi.org/10.5735/085.046.0402
Chung, C.-H., & Huang, C.-y. (2020). Hindcasting tree heights in tropical forests using time-series unmanned aerial vehicle imagery. Agricultural and Forest Meteorology, 290, 108029. http://dx.doi.org/10.1016/j.agrformet.2020.108029
Collins, B., Dunne, K., & Pickett, S. T. A. (1985). Responses of Forest Herbs to Canopy Gaps. The Ecology of Natural Disturbance and Patch Dynamics. https://doi.org/10.1016/B978-0-08-050495-7.50017-X
Csillik, O., Kumar, P., & Asner, G. (2020). Challenges in Estimating Tropical Forest Canopy Height from Planet Dove Imagery. Remote Sensing, 12, 1160. https://doi.org/10.3390/rs12071160
Denslow, J. S. (1987). Tropical Rainforest Gaps and Tree Species Diversity. Annual Review of Ecology and Systematics, 18(1), 431-451. https://doi.org/10.1146/annurev.es.18.110187.002243
Elhag, M. (2015). Tropical Forests Mapping of Bioko Island Using Remote Sensing Techniques. Journal of King Abdulaziz University - Meteorology, Environment and Arid Land Agriculture Sciences, 26, 95-109. http://dx.doi.org/10.4197/Met.26-2.10
Elliott, S., Baker, P., & Borchert, R. (2006). Leaf flushing during the dry season: The paradox of Asian monsoon forests. Global Ecology and Biogeography, 15, 248-257. https://doi.org/10.1111/j.1466-8238.2006.00213.x
Elliott, S., Caldas, L., Nicolossi, G., Coradin, V., & Borchert, R. (2002). Increasing day-length induces flushing of tropical dry forest trees in the absence of rain. Trees, 16, 445-456. https://doi.org/10.1007/s00468-002-0185-3
Eysenrode, D., Kockelbergh, F., Bogaert, J., Impens, I., & Hecke, P. (2002). Canopy gap edge determination and the importance of gap edges for plant diversity. Web Ecology, 3, 1-5. http://dx.doi.org/10.5194/we-3-1-2002
Fernandez-Diaz, J., Carter, W., Shrestha, R., & Glennie, C. (2020). LiDAR REmote Sensing. In J. N. Pelton, S. Madry, S. Camacho-Lara (eds.), Handbook of Satellite Applications (pp. 1-52). Springer International Publishing.
Forman, R., & Collinge, S. (1997). Nature conserved in changing landscapes with and without spatial planning. Landscape and Urban Planning, 37, 129-135. http://dx.doi.org/10.1016/S0169-2046(96)00378-7
Gagnon, J., Jokela, E., Moser, W., & Huber, D. (2003). Characteristics of gaps and natural regeneration in mature longleaf pine flatwoods ecosystems. Forest Ecology and Management, 187, 373-380. http://dx.doi.org/10.1016/j.foreco.2003.07.002
Getzin, S., Nuske, R., & Wiegand, K. (2014). Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests. Remote Sensing, 6, 6988-7004. http://dx.doi.org/10.3390/rs6086988
Gray, A., Spies, T., & Easter, M. (2002). Microclimatic and soil moisture responses to gap formation in coastal Douglas-fir forests. Canadian Journal of Forest Research-revue Canadienne De Recherche Forestiere, 32, 332-343. https://doi.org/10.1139/x01-200
Hart, J., & Grissino-Mayer, H. (2009). Gap-scale disturbance processes in secondary hardwood stands on the Cumberland Plateau, Tennessee, USA. Forest Ecology: Recent Advances in Plant Ecology, 131-146. http://dx.doi.org/10.1007/s11258-008-9488-9
Hopkinson, C., & Chasmer, L. E. (2007). Modelling Canopy Gap Fraction from Lidar Intensity. In Proceedings of ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, Espoo, Finland, September 12–14, 2007; In The International Archives of the Photogrammetry and Remote Sensing and Spatial Information Sciences. ISPRS: Vienna, Austria, Vol. XXXVI, Part 3/W52. pp. 190–194.
Hubbell, S.P. and Foster, R.B. (1986) Canopy Gaps and the Dynamics of a Neotropical Forest. In Crawley, M.J., (Ed.) Plant Ecology. pp. 77-96. Blackwell.
Jr, E. H., Doraiswamy, P., McMurtrey, J., Daughtry, C., Perry, E., & Akhmedov, B. (2013). A visible band index for remote sensing leaf Chlorophyll content at the Canopy Scale. International Journal of Applied Earth Observation and Geoinformation, 21, 103–112. https://doi.org/10.1016/j.jag.2012.07.020
Kimmins, J. (2004). Emulating Natural Forest Disturbance: What Does This Mean? In Perera A., Buse L., & Weber M. (Eds.), Emulating Natural Forest Landscape Disturbances: Concepts and Applications (pp. 8-28). Columbia University Press.
Kirchner, N., Hutter, K., Jakobsson, M., & Gyllencreutz, R. (2011). Capabilities and limitations of numerical ice sheet models: a discussion for Earth-scientists and modelers. Quaternary Science Reviews, 30(25-26), 3691-3704. http://dx.doi.org/10.1016/j.quascirev.2011.09.012
van der Maarel E. (1988) Vegetation dynamics: patterns in time and space. In: Miles J., Schmidt W., van der Maarel E. (eds) Temporal and Spatial Patterns of Vegetation Dynamics. Advances in vegetation science, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2275-4_1
Marchi, A., & Paletto, A. (2010). Relationship between forest canopy and natural regeneration in the subalpine spruce-larch forest (north-east Italy). Folia Forestalia Polonica, Series A, 52. http://dx.doi.org/10.5281/zenodo.30770
Muscolo, A., Bagnato, S., Sidari, M., & Mercurio, R. (2014). A review of the roles of forest canopy gaps. Journal of Forestry Research, 25, 725-736. http://dx.doi.org/10.1007/s11676-014-0521-7
Muscolo, A., Sidari, M., & Mercurio, R. (2007). Influence of gap size on organic matter decomposition, microbial biomass and nutrient cycle in Calabrian pine (Pinus laricio, Poiret) stands. Forest Ecology and Management, 242, 412-418. http://dx.doi.org/10.1016/j.foreco.2007.01.058
Ngo, D., Nguyen, H., Dang, C., & Kolesnikov, S. (2020). UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam. E3S Web of Conferences, 203, 03006. http://dx.doi.org/10.1051/e3sconf/202020303006
Nieschulze, J., Zimmermann, R., A, B., & Schulze, E. D. (2012). An assessment of forest canopy structure by LiDAR: Derivation and stability of canopy structure parameters across forest management types. Forstarchiv, 83, 195-209. http://dx.doi.org/10.4432/0300-4112-83-195
Nikolaevich, K. A. (2015). Structure and dynamics of monsoon tropical forests of Vietnam. Moscow.
Rautiainen, M., Heiskanen, J., & Korhonen, L. (2012). Seasonal changes in canopy leaf area index and MODIS vegetation products for a boreal forest site in central Finland. Boreal Environment Research, 17.
Richards, P. W., Walsh, R. P. D., Baillie, I., & Greg-Smith, P. (1996). The tropical rain forest: An ecological study, Second edition. Cambridge University Press.
Trung, T. V. (1978). Forest vegetation in Vietnam. Science and Technology Publishing House.
Watt, A. (1947). Pattern and Process in the Plant Community. Journal of Ecology, 35, 1-22. https://doi.org/10.2307/2256497
Whitmore, T. (1989). Canopy Gaps and the Two Major Groups of Forest Trees. Ecology, 70(3), 536-538. https://doi.org/10.2307/1940195
Williams, L., Bunyavejchewin, S., & Baker, P. (2008). Deciduousness in a seasonal tropical forest in western Thailand: Interannual and intraspecific variation in timing, duration and environmental cues. Oecologia, 155, 571-582. https://doi.org/10.1007/s00442-007-0938-1
Wulder, M., Bater, C., Coops, N., Hilker, T., & White, J. (2008). The role of LiDAR in sustainable forest management. The Forestry Chronicle, 84, 807-826. http://dx.doi.org/10.5558/tfc84807-6
Zahawi, R., Dandois, J., Holl, K., Nadwodny, D., Reid, J., & Ellis, E. (2015). Using lightweight unmanned aerial vehicles to monitor tropical forest recovery. Biological Conservation, 186, 287–295. http://dx.doi.org/10.1016/j.biocon.2015.03.031