Gap Fraction Estimates over Selectively Logged Forests in Western Amazon

Abstract

Gap fraction is a biophysical variable related to energy balance, forest fauna, micro-climate and regeneration, and is an important indicator of forest management quality. The objective of this study was to compare gap fraction estimates from undisturbed forests and different environments or strata of selectively logged areas. Moreover, gap fraction measurements were collected with two distinct instruments (optical canopy analyzer LAI-2000 and hemispherical photographs). Field data were collected from two sustainable forest management sites at Jamari National Forest, Rondonia State, Brazilian Amazon. Our results indicated significant differences between data acquired using these two instruments. For instance, the LAI-2000 data showed greater variation for each environment compared to hemispherical photographics data, and the data were also more sensitive to the increase in gap fraction. Small variations were found in the gap fraction means for the two study areas, and only data for the undisturbed area were significantly different. A gradient of increasing gap fraction that ranged from primary forests to log decks was observed. Furthermore, a multiple linear regression analysis determined the contribution of the selectively logged environments to decreased forest cover, confirming the observed gradient.

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Pinagé, E. , Matricardi, E. , Osako, L. and Gomes, A. (2014) Gap Fraction Estimates over Selectively Logged Forests in Western Amazon. Natural Resources, 5, 969-980. doi: 10.4236/nr.2014.516083.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Johns, J., Barreto, P. and Uhl, C. (1996) Logging Damage during Planned and Unplanned Logging Operations in the Eastern Amazon. Forest Ecology and Management, 89, 59-77.
http://dx.doi.org/10.1016/S0378-1127(96)03869-8
[2] Barreto, P., Amaral, P., Vidal, E. and Uhl, C. (1998) Custos e Benefícios do Manejo Florestal para a Producao de Madeira na Amazonia Oriental. Vol. 10, Série Amazonia, Imazon, Belém.
[3] Welles, J.M. and Norman, J.M. (1991) Instrument for Indirect Measurement of Canopy Architecture. Agronomy Journal, 83, 818-825.
http://dx.doi.org/10.2134/agronj1991.00021962008300050009x
[4] Pereira Jr., R., Zweede, J., Asner, G.P. and Keller, M. (2002) Forest Canopy Damage and Recovery in Reduced-Impact and Conventional Selective Logging in Eastern Para, Brazil. Forest Ecology and Management, 168, 77-89.
http://dx.doi.org/10.1016/S0378-1127(01)00732-0
[5] Wu, L., Liu, J., Takashima, A., Ishigaki, K. and Watanabe, S. (2013) Effect of Selective Logging on Stand Structure and Tree Species Diversity in a Subtropical Evergreen Broad-Leaved Forest. Annals of Forest Science, 70, 535-543.
http://dx.doi.org/10.1007/s13595-013-0292-x
[6] Sebben, A.M., Degen, B., Azevedo, V.C.R., Silva, M.B., Lacerda, A.E.B., Ciampi, A.Y., Kanashiro, M., Carneiro, F.S., Thompsom, I. and Loveless, M.D. (2008) Modelling the Long-Term Impacts of Seletive Logging on Genetic Diversity and Demographic Structure of Four Tropical Tree Species in the Amazon Forest. Forest Ecology and Management, 254, 335-349.
http://dx.doi.org/10.1016/j.foreco.2007.08.009
[7] Thiollay, J.M. (1992) Influence of Selective Logging on Bird Species Diversity of a Guianan Rain Forest. Conservation Biology, 6, 47-63.
http://dx.doi.org/10.1046/j.1523-1739.1992.610047.x
[8] Nepstad, D.C., Veríssimo, A., Alencar, A., Nobre, C., Lima, E., Lefebvre, P., Schlesinger, P., Potter, C., Moutinho, P., Mendoza, E., Cochrane, M. and Brooks, V. (1999) Large-Scale Impoverishment of Amazonian Forests by Logging and Fire. Nature, 398, 505-508.
http://dx.doi.org/10.1038/19066
[9] Cochrane, M.A., Alencar, A., Schulze, M.D., Souza Jr., C.M., Nepstad, D.C., Lefebvre, P. and Davidson, E.A. (1999) Positive Feedbacks in the Fire Dynamic of Closed Canopy Tropical Forests. Science, 284, 1832-1835.
http://dx.doi.org/10.1126/science.284.5421.1832
[10] Jonckheere, I., Fleck, S., Nackaerts, K., Muys, B., Coppin, P., Weiss, M. and Baret, F. (2004) Review of Methods for in Situ Leaf Area Index Determination Part I. Theories, Sensors and Hemispherical Photography. Agricultural and Forest Meteorology, 121, 19-35.
http://dx.doi.org/10.1016/j.agrformet.2003.08.027
[11] Weiss, M., Baret, F., Smith, G.J., Jonckheere, I. and Coppin, P. (2004) Review of Methods for in Situ Leaf Area Index (LAI) Determination: Part II. Estimation of LAI, Errors and Sampling. Agricultural and Forest Meteorology, 121, 37-53.
http://dx.doi.org/10.1016/j.agrformet.2003.08.001
[12] Gower, S.T., Kucharik, C.J. and Norman, J.M. (1999) Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems. Remote Sensing of Environment, 70, 29-51.
http://dx.doi.org/10.1016/S0034-4257(99)00056-5
[13] Leblanc, S.G., Chen, J., Fernandes, R., Deering, D.W. and Conley, A. (2005) Methodology Comparison for Canopy Structure Parameter Extraction from Digital Hemispherical Photography in Boreal Forests. Agricultural and Forest Meteorology, 129, 187-207.
http://dx.doi.org/10.1016/j.agrformet.2004.09.006
[14] Martens, S.N., Ustin, S.L. and Rousseau, R.A. (1993) Estimation of Tree Canopy Leaf-Area Index by Gap Fraction Analysis. Forest Ecology and Management, 61, 91-108.
http://dx.doi.org/10.1016/0378-1127(93)90192-P
[15] Planchais, I. and Pontailler, J.-Y. (1999) Validity of Leaf Areas and Angles Estimated in a Beech Forest from Analysis of Gap Frequencies, Using Hemispherical Photographs and a Plant Canopy Analyser. Annals of Forest Science, 56, 1-10.
http://dx.doi.org/10.1051/forest:19990101
[16] Hyer, E.J. and Goetz, S.J. (2004) Comparison and Sensitivity Analysis of Instruments and Radiometric Methods for LAI Estimation: Assessments from a Boreal Forests Site. Agricultural and Forest Meteorology, 122, 157-174.
http://dx.doi.org/10.1016/j.agrformet.2003.09.013
[17] Garrigues, S., Shabanov, N.V., Swanson, K., Morisette, J.T., Myneni, R.B. and Baret, F. (2008) Intercomparison and Sensitivity Analysis of Leaf Area Index Retrievals from LAI-2000, AccuPAR, and Digital Hemispherical Photography Over Croplands. Agricultural and Forest Meteorology, 148, 1193-1209.
http://dx.doi.org/10.1016/j.agrformet.2008.02.014
[18] Rich, P.M. (1990) Characterizing Plant Canopies with Hemispherical Photographs. Remote Sensing Reviews, 5, 13-29.
http://dx.doi.org/10.1080/02757259009532119
[19] Brasil (2000) Lei No 9.985, de 18 de julho de 2000. Instittui o Sistema Nacional de Unidades de Conservacao da Natureza e dá outras providências. Diário Oficial da Uniao, 18 de julho de 2000.
http://www.planalto.gov.br/ccivil_03/leis/l9985.htm
[20] ICMBio (2005) Plano de Manejo da Floresta Nacional do Jamari. Volume I, Diagnóstico, Brasília.
[21] Asner, G.P., Keller, M., Pereira Jr., R., Zweede, J.C. and Silva, J.N.M. (2004) Canopy Damage and Recovery after Selective Logging in Amazonia: Field and Satellite Studies. Ecological Applications, 14, 280-298.
http://dx.doi.org/10.1890/01-6019
[22] Matricardi, E.A.T., Skole, D.L., Cochrane, M.A., Pedlowski, M. and Chomentowski, W. (2010) Assessment of Tropical Forest Degradation by Selective Logging and Fire Using Landsat Imagery. Remote Sensing of the Environment, 114, 1117-1129.
http://dx.doi.org/10.1016/j.rse.2010.01.001
[23] LI-COR (2011) LAI-2200 Brochure.
http://www.licor.com/env/pdf/area_meters/LAI-2200_brochure.pdf
[24] Frazer, G., Canham, C. and Lertzman, K. (1999) Gap Light Analyzer (GLA): Imaging Software to Extract Canopy Structure and Gap Light Transmission Indices for True-Color Fisheye Photographs, Users Manual and Program Documentation, Version 2.0. Simon Fraser University, Burnaby and The Institute of Ecosystem Studies, New York.
[25] Matricardi, E.A.T., Skole, D.L., Pedlowski, M.A. and Chomentowski, W. (2013) Assessment of Forest Disturbances by Selective Logging and Forest Fires in the Brazilian Amazon Using Landsat Data. International Journal of Remote Sensing, 34, 1057-1086.
http://dx.doi.org/10.1080/01431161.2012.717182

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