Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management

Mukete Beckline; Sun Yujun; Baninla Yvette; Achem Baye Joh; Bakia Mor-Achankap; Sajjad Saeed; Tamungang Richard; Jaba Wose; Chalwe Paul

doi:doi:10.11648/j.ajaf.20170503.11

Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management

Mukete Beckline, Sun Yujun, Baninla Yvette, Achem Baye Joh, Bakia Mor-Achankap, Sajjad Saeed, Tamungang Richard, Jaba Wose, Chalwe Paul

Published in American Journal of Agriculture and Forestry (Volume 5, Issue 3)

Received: 20 November 2016 Accepted: 13 December 2016 Published: 13 April 2017

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Abstract

Tropical forest management requires could be improved through the use of current technologies including remote sensing and Geographic Information System (GIS). In this paper, we characterize and evaluate forest management patterns and relate this to modern technologies such as geographical information systems and remote sensing. We further examine the application of these modern technologies in tropical forestry and conservation. To achieve this, we carried out a comprehensive survey of published scientific literature obtained through Web of Science, Mendeley, Researchgate and Google Scholar. We observed that, the relationships between forestry management, modern technologies have shifted over time. These have depended on how management activities such as planting and harvesting, interact with other drivers and disturbances (fire, pests and diseases) to influence the adaptive capacity of forests. Forest management and new technologies are interrelated because the technologies support management actions; hence contribute to global forest resources management and conservation.

Published in	American Journal of Agriculture and Forestry (Volume 5, Issue 3)
DOI	10.11648/j.ajaf.20170503.11
Page(s)	33-39
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Forest Management, GIS, Remote Sensing, Tropical Forest Conservation, Forest Policy, Climate Change

References

[1]	Achard, F., Eva, H. D., Hans-Jürgen, S., Mayaux, P., Gallego, J., Richards, T and Malingreau, J (2002). Determination of Deforestation Rates of the World's Humid Tropical Forests. Science 297: 999-1002.
[2]	Anders, H (2007). Population Growth and Land Use Intensification in a Subsistence-based Indigenous Community in the Amazon. Human Ecology 35 (6): 669-680.
[3]	Angelsen, A and Kaimowitz, D (2001). Agricultural Technologies and Tropical Deforestation. Wallingford, UK: CABI Publishing. 440 pp. ISBN: 0851994512.
[4]	Asselen, V and Verburg, H (2013). Land cover change or land-use intensification: simulating land system change with a global-scale land change model. Global Change Biology 19 (12): 3648-3667.
[5]	Basuki, M., Van-Laake, E., Skidmore, A and Hussin, Y (2009). Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. Forest Ecology and Management, 257 (8): 1684-1694.
[6]	Behrens, C., Baksh, M and Mothes, M (1994). A regional analysis of Bari land use intensification and its impact on landscape heterogeneity. Human Ecology 22 (3): 279-316.
[7]	Brown, D (2006). Personal Preferences and Intensification of Land Use: Their Impact on Southern Cameroonian Slash-and-Burn Agroforestry System. Agroforestry Systems 68: 53-67.
[8]	Celine, E., Mayaux, P., Verhegghen, A., Bodart, C., Musampa, C and Defourny, P (2013). National forest cover change in Congo basin: Deforestation, reforestation, degradation and regeneration for the years 1990, 2000 and 2005. Global Change Biology 19: 1173-1187.
[9]	CIFOR (2015). Center for International Forestry Research. Forest Management. Available at: http://www.cifor.org/forest-management/. Accessed 4^th November, 2015.
[10]	Dahdouh-Guebas F., Van Hiel, E., Chan, W., Jayatissa, L and Koedam, N (2005a). Qualitative distinction of congeneric and introgressive mangrove species in mixed patchy forest assemblages using high spatial resolution remotely sensed imagery (IKONOS). Systematics and Biodiversity 2 (2): 113-119.
[11]	Diallo, Y., Guangdao, H and Xingping, W (2009). Applications of Remote Sensing in LULC Change Detection in Puer and Simao Counties. Marsland Press Journal of American Science 5 (4): 157-166.
[12]	Duncker, S., Barreiro, M., Hengeveld, T., Lind, W., Mason, L., Ambrozy, S and Spiecker, H (2012). Classification of forest management approaches: a new conceptual framework and its applicability to European forestry. Ecology and Society 17 (4): 51.
[13]	Ellis, E (2013). Land-use and land-cover change. Retrieved from www.eoearth.org/view/article/154143.
[14]	Entwisle, B., Walsh, J., Rindfuss, R and Chamratrithirong, A (1998). Land-use/land-cover and population dynamics, Nang Rong, Thailand. In D. Liverman, E. F. Moran, R. R. Rindfuss, & P. C. Stern, People and pixels: linking remote sensing and social science (pp 121-144). Washington, DC: National Academy Press.
[15]	FAO (2012). Food and Agriculture Organization of the United Nations. Forest management and climate change: a literature review. Forests and Climate change Working Paper No. 10 Rome, Italy. Available at: http://www.fao.org/docrep/015/md012e/md012e00.pdf. Accessed: 11^th October, 2015.
[16]	FAO (2014). Global Forest Resources Assessment and the State of the World's Forests. Rome, Italy.
[17]	Foahom, B (2001). Biodiversity Planning Support Programme Integrating Biodiversity into the Forestry Sector. Cameroon Case Study. Paper prepared for an international workshop on "Integration of Biodiversity in National Forestry Planning Programme" Bogor, Indonesia on 13^th-16^th August 2001. Available at: https://www.cbd.int/doc/nbsap/forestry/cameroon.pdf.
[18]	Foley, J., Defries, R., Asner, G., Bardford, C., Bonan, G., Carpenter, R., Chapin, F., Coe,T., Daily, C., Gibbs,K., Helkowski, J., Holloway, T., Howard, E, Kucharik, J., Monfreda, C., Patz, A., Prentice, I., Ramankutty, N and Snyder, P (2005). Global consequences of land use. Science 309: 570-574.
[19]	Geist, H and Lambin, E (2002). Proximate causes and underlying driving forces of tropical deforestation. BioScience, 52 (2): 143-50.
[20]	Geovana, C., Marielos, P., Bongers, F., Díaz, S., Quétier, F., Chuviña, J and Poorter, L (2015). In press. Land-use intensification effects on functional properties in tropical plant communities. Ecological Applications. http://dx.doi.org/10.1890/14-0340.1.
[21]	Guyer, J and Lambin, E (1993). Land use in an urban hinterland: Ethnography and remote sensing in the study of African intensi® cation. American Anthropologist 95 (4), 839±859.
[22]	Hamzah, A (2001). Remote Sensing, GIS and GPS as a Tool to Support Precision Forestry Practices in Malaysia. Available at http://www.crisp.nus.edu.sg/~acrs2001/pdf/276HAMZA.PDF.
[23]	JunJie, W and Li, M (2013). A Background Paper Submitted to the International Food Policy Research Institute under Agreement # 200002.000.180 515-01-01 Final Report, November 2013.
[24]	Karen, M (2009). Demographics, Democracy, Development, Disparity and Deforestation: A Cross-national Assessment of the Social Causes of Deforestation. Retrieved 13th May, 2015.
[25]	Lambin, E., Turner, B., Geist, H., Agbola, S and Angelsen, A (2001). The causes of land-use and land-cover change: moving beyond the myths. Global Environmental Change, 11 (4): 261-69.
[26]	Lambin, E., Geist, H and Lepers, E (2003). Dynamics of land use and cover change in tropical regions. Annual Rev. Environ. Resources 28: 205–241.
[27]	Leemans, R., Lambin, E., McCalla A., Nelson, J., Pingali, P and Watson, B (2003). Drivers of change in ecosystems and their services. In Ecosystems and Human Well-Being: A Framework for Assessment, ed. H. Mooney, A. Cropper, W. Reid. Washington, DC: Island Press. ISBN: 1559634030.
[28]	Mayes, T., Mustard, F and Melillo, J (2015). Forest cover change in Miombo Woodlands: Modeling land cover of African dry tropical forests with linear spectral mixture analysis. Remote Sensing of Environment 165: 203-215.
[29]	Meli, F and Meli, V (2015). Modelling Drivers of Forest Cover Change in the Santchou Wildlife Reserve, West Cameroon using Remote Sensing and Land Use Dynamic Degree Indexes. Canadian Journal of Tropical Geography 2 (2): 29-42.
[30]	Mertens, B and Lambin, E (2000). Land Cover change trajectories in the South of Cameroon. Annuals of the Association of American Geographers 90 (3) 467-494.
[31]	Michon, G., De Foresta, H., Levang, P and Verdeaux, F (2007). Domestic forests: a new paradigm for integrating local communities’ forestry into tropical forest science. Ecology and Society 12 (2): 1. Available at: http://www.ecologyandsociety.org/vol12/iss2/art1/. Accessed 11^th October, 2015.
[32]	MFR (2008). Ministry of Forests and Range, Canada. Glossary of Forestry Terms in British Columbia. Available at: http://www.for.gov.bc.ca/hfd/library/documents/glossary/Glossary.pdf. Accessed 18^th November, 2015.
[33]	Moran, E and Brondizio, E (1998). Land-Use Change After Deforestation in Amazonia, In People and Pixels: Linking Remote Sensing and Social Science (D. Livermann, E. F. Moran, R. R. Rindfuss and P. C. Stern, editors), National Academy Press, Washington D. C., pp. 94-120.
[34]	Mozgeris, G (2009). The continuous field view of representing forest geographically: from cartographic representation towards improved management planning. S. A. P. I. EN. S 2.2 2009. Available at: http://sapiens.revues.org/734. Accessed 18^th November 2015.
[35]	Mukete, B and Sun, Y (2014). Assessing the Effectiveness of Urban Nature Reserves on Biodiversity Conservation. Applied Ecology and Environmental Sciences 2 (6) 130-134.
[36]	Mukete, B., Sun, Y., Zama, E and Monono, S (2016). Paper Consumption and Environmental Impact in an Emerging Economy. Journal of Energy, Environmental & Chemical Engineering. (1) 1: 13-18.
[37]	Nasi, R., Billand, A and Vanvliet, N (2012) Managing for timber and biodiversity in the Amazon Basin. For. Ecol. Management 268: 103–111.
[38]	Oyekale, S., Bolaji, M and Olowa, W (2009). The effects of climate change on cocoa production and vulnerability assessment in Nigeria. Agricultural Journal 4 (2): 77-85.
[39]	Pan, Y., Birdsey, R., Phillips, L and Jackson, R (1999). The Structure, Distribution, and Biomass of the World’s Forests. Annual Review of Ecology, Evolution, and Systematics 44: 593-622.
[40]	Paivinen, R., Lindner, M., Rosen, K and Lexer, J (2010). A concept for assessing sustainability impact of forestry wood chains. European Journal of Forest Research. Available at: http://dx.doi.org/10.1007/s10342-010-0446-4. Accessed 11^th September, 2015.
[41]	Pope, I., Bowenc, D., Harbora, J., Shaod, G., Zanottie, L and Burniske, G (2015). Deforestation of montane cloud forest in the Central Highlands of Guatemala: contributing factors and implications for sustainability in Q’eqchi’ communities. International Journal of Sustainable Development and World Ecology 22 (3): 201-212.
[42]	Saatchi, S., Harris, L., Brown, S., Lefsky, M., Mitchard, A., Salas, W., Zutta, R., Buermann, W., Lewis, L., Hagen, S., Petrova, S., White, L., Silman, M and Morel, A (2011). Benchmark map of forest carbon stock in tropical regions across three continents. Proceeding of the National Academy of Sciences of the United States of America 108 (24): 9899-9904.
[43]	Saatchi, S., Asefi-Najafabady, S., Malhi, Y., Aragão, C., Anderson, O., Mynenif, R and Nemanig, R (2013). Persistent effects of a severe drought on Amazonian forest canopy. Proceeding of the National Academy of Sciences of the United States of America 110 (2): 565–570.
[44]	Selçuk, R (2008). Analyzing Land Use/Land Cover Changes Using Remote Sensing and GIS in Rize, North-East Turkey. Sensors 8: 6188-6202.
[45]	Sussman, R., Green, G and Sussman, L (1994). Satellite imagery, human ecology, anthropology and deforestation in Madagascar. Human Ecology, 22 (3): 333±354.
[46]	Temudo, M and Silva, J (2011). Agriculture and forest cover changes in post-war Mozambique. Journal of Land Use Science 7 (4): 425-442.
[47]	Turner, L., Moss, R and Skole, D (1994). Relating land-use and global land-cover change: a proposal for an IGBP-HDP core project. International Geosphere Biosphere Project, IGBP Report No. 4, IGBP, Stockholm. Available at: http://www.ciesin.org/docs/002-105/002-105.html Accessed 12^th January, 2015.
[48]	Turner, B., Clark, C., Kates, W., Richards, J., Mathews, T and Meyer, B (1990). The Earth as Transformed by Human Action: Global and Regional Changes in the Biosphere over the Past 300 Years. Cambridge University Press with Clark University, Cambridge; New York.
[49]	UNFCCC (2015). United Nations Framework Convention on Climate Change. Report of the conference of the parties on its twentieth session, held in Lima, Peru 1^stst – 14^th December 2014. Available at: http://unfccc.int/resource/docs/2014/cop20/eng/10a02.pdf. Accessed 14^th November, 2015.
[50]	Vitousek, P., Aber, J., Howarth, R., Likens, G., Matson, P., Schindler, D., Schlesinger, W and Tilman, G (1997). Human alteration of the global nitrogen cycle: sources and consequences. Ecological Applications 7: 737–750.
[51]	Weber, N (2012). Reflections on theories in forest policy: Testing, combining or building? Forest Policy and Economics 16: 102–108.
[52]	Willkomm, M., Vierneisel, B and Dannenberg, P (2016). Land use change dynamics in the Mt. Kenya region – a remotely sensed analysis using RapidEye satellite images. Zbl. Geol. Paläont. Teil I, 1: 23–40.
[53]	Woodroffe, R and Sillero-Zubiri, C (2012). Lycaon pictus. The IUCN Red List of Threatened Species 2012:e.T12436A16711116.http://dx.doi.org/10.2305/IUCN.UK.2012.RLTS.T12436A16711116.en. Downloaded on 21 September 2015.

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APA Style

Mukete Beckline, Sun Yujun, Baninla Yvette, Achem Baye Joh, Bakia Mor-Achankap, et al. (2017). Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management. American Journal of Agriculture and Forestry, 5(3), 33-39. https://doi.org/10.11648/j.ajaf.20170503.11

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ACS Style

Mukete Beckline; Sun Yujun; Baninla Yvette; Achem Baye Joh; Bakia Mor-Achankap, et al. Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management. Am. J. Agric. For. 2017, 5(3), 33-39. doi: 10.11648/j.ajaf.20170503.11

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AMA Style

Mukete Beckline, Sun Yujun, Baninla Yvette, Achem Baye Joh, Bakia Mor-Achankap, et al. Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management. Am J Agric For. 2017;5(3):33-39. doi: 10.11648/j.ajaf.20170503.11

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@article{10.11648/j.ajaf.20170503.11,
  author = {Mukete Beckline and Sun Yujun and Baninla Yvette and Achem Baye Joh and Bakia Mor-Achankap and Sajjad Saeed and Tamungang Richard and Jaba Wose and Chalwe Paul},
  title = {Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management},
  journal = {American Journal of Agriculture and Forestry},
  volume = {5},
  number = {3},
  pages = {33-39},
  doi = {10.11648/j.ajaf.20170503.11},
  url = {https://doi.org/10.11648/j.ajaf.20170503.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20170503.11},
  abstract = {Tropical forest management requires could be improved through the use of current technologies including remote sensing and Geographic Information System (GIS). In this paper, we characterize and evaluate forest management patterns and relate this to modern technologies such as geographical information systems and remote sensing. We further examine the application of these modern technologies in tropical forestry and conservation. To achieve this, we carried out a comprehensive survey of published scientific literature obtained through Web of Science, Mendeley, Researchgate and Google Scholar. We observed that, the relationships between forestry management, modern technologies have shifted over time. These have depended on how management activities such as planting and harvesting, interact with other drivers and disturbances (fire, pests and diseases) to influence the adaptive capacity of forests. Forest management and new technologies are interrelated because the technologies support management actions; hence contribute to global forest resources management and conservation.},
 year = {2017}
}

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TY  - JOUR
T1  - Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management
AU  - Mukete Beckline
AU  - Sun Yujun
AU  - Baninla Yvette
AU  - Achem Baye Joh
AU  - Bakia Mor-Achankap
AU  - Sajjad Saeed
AU  - Tamungang Richard
AU  - Jaba Wose
AU  - Chalwe Paul
Y1  - 2017/04/13
PY  - 2017
N1  - https://doi.org/10.11648/j.ajaf.20170503.11
DO  - 10.11648/j.ajaf.20170503.11
T2  - American Journal of Agriculture and Forestry
JF  - American Journal of Agriculture and Forestry
JO  - American Journal of Agriculture and Forestry
SP  - 33
EP  - 39
PB  - Science Publishing Group
SN  - 2330-8591
UR  - https://doi.org/10.11648/j.ajaf.20170503.11
AB  - Tropical forest management requires could be improved through the use of current technologies including remote sensing and Geographic Information System (GIS). In this paper, we characterize and evaluate forest management patterns and relate this to modern technologies such as geographical information systems and remote sensing. We further examine the application of these modern technologies in tropical forestry and conservation. To achieve this, we carried out a comprehensive survey of published scientific literature obtained through Web of Science, Mendeley, Researchgate and Google Scholar. We observed that, the relationships between forestry management, modern technologies have shifted over time. These have depended on how management activities such as planting and harvesting, interact with other drivers and disturbances (fire, pests and diseases) to influence the adaptive capacity of forests. Forest management and new technologies are interrelated because the technologies support management actions; hence contribute to global forest resources management and conservation.
VL  - 5
IS  - 3
ER  -

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Author Information

Mukete Beckline

Department of Forest Management, Beijing Forestry University, Beijing, China
Sun Yujun

Department of Forest Management, Beijing Forestry University, Beijing, China
Baninla Yvette

Research Center for Eco-Environmental Sciences, University of Chinese Academy of Sciences, Beijing, China
Achem Baye Joh

Faculty of Economic and Social Sciences and Solvay Business School, Vrije Universiteit Brussels, Belgium
Bakia Mor-Achankap

Forest Monitoring and Evaluation Unit, Ministry of Forestry and Wildlife, Buea, Cameroon
Sajjad Saeed

Department of Forest Management, Beijing Forestry University, Beijing, China
Tamungang Richard

Forest Monitoring and Evaluation Unit, Ministry of Forestry and Wildlife, Buea, Cameroon
Jaba Wose

Forest Monitoring and Evaluation Unit, Ministry of Forestry and Wildlife, Buea, Cameroon
Chalwe Paul

Department of Forestry Economics and Management, Beijing Forestry University, Beijing, China

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APA Style

Mukete Beckline, Sun Yujun, Baninla Yvette, Achem Baye Joh, Bakia Mor-Achankap, et al. (2017). Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management. American Journal of Agriculture and Forestry, 5(3), 33-39. https://doi.org/10.11648/j.ajaf.20170503.11

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ACS Style

Mukete Beckline; Sun Yujun; Baninla Yvette; Achem Baye Joh; Bakia Mor-Achankap, et al. Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management. Am. J. Agric. For. 2017, 5(3), 33-39. doi: 10.11648/j.ajaf.20170503.11

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AMA Style

Mukete Beckline, Sun Yujun, Baninla Yvette, Achem Baye Joh, Bakia Mor-Achankap, et al. Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management. Am J Agric For. 2017;5(3):33-39. doi: 10.11648/j.ajaf.20170503.11

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@article{10.11648/j.ajaf.20170503.11,
  author = {Mukete Beckline and Sun Yujun and Baninla Yvette and Achem Baye Joh and Bakia Mor-Achankap and Sajjad Saeed and Tamungang Richard and Jaba Wose and Chalwe Paul},
  title = {Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management},
  journal = {American Journal of Agriculture and Forestry},
  volume = {5},
  number = {3},
  pages = {33-39},
  doi = {10.11648/j.ajaf.20170503.11},
  url = {https://doi.org/10.11648/j.ajaf.20170503.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20170503.11},
  abstract = {Tropical forest management requires could be improved through the use of current technologies including remote sensing and Geographic Information System (GIS). In this paper, we characterize and evaluate forest management patterns and relate this to modern technologies such as geographical information systems and remote sensing. We further examine the application of these modern technologies in tropical forestry and conservation. To achieve this, we carried out a comprehensive survey of published scientific literature obtained through Web of Science, Mendeley, Researchgate and Google Scholar. We observed that, the relationships between forestry management, modern technologies have shifted over time. These have depended on how management activities such as planting and harvesting, interact with other drivers and disturbances (fire, pests and diseases) to influence the adaptive capacity of forests. Forest management and new technologies are interrelated because the technologies support management actions; hence contribute to global forest resources management and conservation.},
 year = {2017}
}

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TY  - JOUR
T1  - Perspectives of Remote Sensing and GIS Applications in Tropical Forest Management
AU  - Mukete Beckline
AU  - Sun Yujun
AU  - Baninla Yvette
AU  - Achem Baye Joh
AU  - Bakia Mor-Achankap
AU  - Sajjad Saeed
AU  - Tamungang Richard
AU  - Jaba Wose
AU  - Chalwe Paul
Y1  - 2017/04/13
PY  - 2017
N1  - https://doi.org/10.11648/j.ajaf.20170503.11
DO  - 10.11648/j.ajaf.20170503.11
T2  - American Journal of Agriculture and Forestry
JF  - American Journal of Agriculture and Forestry
JO  - American Journal of Agriculture and Forestry
SP  - 33
EP  - 39
PB  - Science Publishing Group
SN  - 2330-8591
UR  - https://doi.org/10.11648/j.ajaf.20170503.11
AB  - Tropical forest management requires could be improved through the use of current technologies including remote sensing and Geographic Information System (GIS). In this paper, we characterize and evaluate forest management patterns and relate this to modern technologies such as geographical information systems and remote sensing. We further examine the application of these modern technologies in tropical forestry and conservation. To achieve this, we carried out a comprehensive survey of published scientific literature obtained through Web of Science, Mendeley, Researchgate and Google Scholar. We observed that, the relationships between forestry management, modern technologies have shifted over time. These have depended on how management activities such as planting and harvesting, interact with other drivers and disturbances (fire, pests and diseases) to influence the adaptive capacity of forests. Forest management and new technologies are interrelated because the technologies support management actions; hence contribute to global forest resources management and conservation.
VL  - 5
IS  - 3
ER  -

Copy | Download