Application of remote sensing to understanding fire regimes and biomass burning emissions of the tropical Andes

被引:45
|
作者
Oliveras, Immaculada [1 ,2 ]
Anderson, Liana O. [1 ,3 ]
Malhi, Yadvinder [1 ]
机构
[1] Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford, England
[2] Wageningen Univ, Nat Conservat & Plant Ecol Grp, NL-6700 AP Wageningen, Netherlands
[3] Natl Inst Space Res, Remote Sensing Div, Sao Jose Dos Campos, Brazil
关键词
remote sensing; tree line; tropical montane cloud forests; fire return interval; BURNED-AREA; FOREST-FIRES; CARBON; TREE; VARIABILITY; MORTALITY; MODIS; DEFORESTATION; LANDSCAPES; INCREASES;
D O I
10.1002/2013GB004664
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the tropical Andes, there have been very few systematic studies aimed at understanding the biomass burning dynamics in the area. This paper seeks to advance on our understanding of burning regimes in this region, with the first detailed and comprehensive assessment of fire occurrence and the derived gross biomass burning emissions of an area of the Peruvian tropical Andes. We selected an area of 2.8 million hectares at altitudes over 2000m. We analyzed fire occurrence over a 12 year period with three types of satellite data. Fire dynamics showed a large intra-annual and interannual variability, with most fires occurring May-October (the period coinciding with the dry season). Total area burned decreased with increasing rainfall until a given rainfall threshold beyond which no relationship was found. The estimated fire return interval (FRI) for the area is 37years for grasslands, which is within the range reported for grasslands, and 65years for forests, which is remarkably shorter than other reported FRI in tropical moist forests. The greatest contribution (60-70%, depending on the data source) to biomass burning emissions came from burned montane cloud forests (4.5 million Mg CO2 over the study period), despite accounting for only 7.4-10% of the total burned area. Gross aboveground biomass emissions (7.552.14 Tg CO2; 0.430.04 Tg CO; 24,0122685Mg CH4 for the study area) were larger than previously reported for the tropical Andes.
引用
收藏
页码:480 / 496
页数:17
相关论文
共 50 条
  • [1] Biomass Burning Emissions: A Review of Models Using Remote-Sensing Data
    Alicia Palacios-Orueta
    Emilio Chuvieco
    Alexander Parra
    César Carmona-Moreno
    Environmental Monitoring and Assessment, 2005, 104 : 189 - 209
  • [2] Biomass burning emissions: A review of models using remote-sensing data
    Palacios-Orueta, A
    Chuvieco, E
    Parra, A
    Carmona-Moreno, C
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2005, 104 (1-3) : 189 - 209
  • [3] Remote sensing of biomass burning in tropical regions: Sampling issues and multisensor approach
    Eva, H
    Lambin, EF
    REMOTE SENSING OF ENVIRONMENT, 1998, 64 (03) : 292 - 315
  • [4] Remote sensing of biomass burning in the Amazon
    Kaufman, Y.J.
    Holben, B.N.
    Tanre, D.
    Ward. D.E.
    Remote Sensing Reviews, 1994, 10 (1-3):
  • [5] Remote sensing of glaciers in the tropical Andes: a review
    Veettil, Bijeesh K.
    Kamp, Ulrich
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (23) : 7101 - 7137
  • [6] REMOTE-SENSING OF BIOMASS BURNING IN THE TROPICS
    KAUFMAN, YJ
    TUCKER, CJ
    FUNG, IY
    REMOTE SENSING OF ATMOSPHERE AND OCEANS, 1989, 9 : 265 - 268
  • [7] REMOTE-SENSING OF BIOMASS BURNING IN THE TROPICS
    KAUFMAN, YJ
    TUCKER, CJ
    FUNG, I
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1990, 95 (D7) : 9927 - 9939
  • [8] Improving Forecasts of Biomass Burning Emissions with the Fire Weather Index
    Di Giuseppe, Francesca
    Remy, Samuel
    Pappenberger, Florian
    Wetterhall, Fredrik
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2017, 56 (10) : 2789 - 2799
  • [9] Southern African fire regimes as revealed by remote sensing
    Archibald, S.
    Scholes, R. J.
    Roy, D. P.
    Roberts, G.
    Boschetti, L.
    INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2010, 19 (07) : 861 - 878
  • [10] Ammonia emissions in tropical biomass burning regions: Comparison between satellite-derived emissions and bottom-up fire inventories
    Whitburn, S.
    Van Damme, M.
    Kaiser, J. W.
    van der Werf, G. R.
    Turquety, S.
    Hurtmans, D.
    Clarisse, L.
    Clerbaux, C.
    Coheur, P. -F.
    ATMOSPHERIC ENVIRONMENT, 2015, 121 : 42 - 54