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DOI10.3390/rs11131530
Phenology and Seasonal Ecosystem Productivity in an Amazonian Floodplain Forest
Fonseca, Leticia D. M.1; Dalagnol, Ricardo2; Malhi, Yadvinder3; Rifai, Sami W.3; Costa, Gabriel B.4; Silva, Thiago S. F.5; Da Rocha, Humberto R.6; Tavares, Iane B.1; Borma, Laura S.1
发表日期2019
ISSN2072-4292
卷号11期号:13
英文摘要

Several studies have explored the linkages between phenology and ecosystem productivity across the Amazon basin. However, few studies have focused on flooded forests, which correspond to c.a. 14% of the basin. In this study, we assessed the seasonality of ecosystem productivity (gross primary productivity, GPP) from eddy covariance measurements, environmental drivers and phenological patterns obtained from the field (leaf litter mass) and satellite measurements (enhanced vegetation index (EVI) from the Moderate Resolution Imaging Spectroradiometer/multi-angle implementation correction (MODIS/MAIAC)) in an Amazonian floodplain forest. We found that ecosystem productivity is limited by soil moisture in two different ways. During the flooded period, the excess of water limits GPP (Spearman's correlation; rho = -0.22), while during non-flooded months, GPP is positively associated with soil moisture (rho = 0.34). However, GPP is maximized when cumulative water deficit (CWD) increases (rho = 0.81), indicating that GPP is dependent on the amount of water available. EVI was positively associated with leaf litter mass (Pearson's correlation; r = 0.55) and with GPP (r = 0.50), suggesting a coupling between new leaf production and the phenology of photosynthetic capacity, decreasing both at the peak of the flooded period and at the end of the dry season. EVI was able to describe the inter-annual variations on forest responses to environmental drivers, which have changed during an observed El Nino-Southern Oscillation (ENSO) year (2015/2016).


WOS研究方向Remote Sensing
来源期刊REMOTE SENSING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/99750
作者单位1.Natl Inst Space Res INPE, Earth Syst Sci, BR-12227010 Sao Jose Dos Campos, SP, Brazil;
2.INPE, Remote Sensing Div, BR-12227010 Sao Jose Dos Campos, SP, Brazil;
3.Univ Oxford, Environm Change Inst, Sch Geog & Environm, Oxford OX1 3QY, England;
4.Fed Univ Western Para, BR-68040260 Santarem, PA, Brazil;
5.Univ Stirling, Fac Nat Sci, Biol & Environm Sci, Stirling FK9 4LA, Scotland;
6.Univ Sao Paulo, Dept Atmospher Sci IAG, Sao Paulo, SP, Brazil
推荐引用方式
GB/T 7714
Fonseca, Leticia D. M.,Dalagnol, Ricardo,Malhi, Yadvinder,et al. Phenology and Seasonal Ecosystem Productivity in an Amazonian Floodplain Forest[J],2019,11(13).
APA Fonseca, Leticia D. M..,Dalagnol, Ricardo.,Malhi, Yadvinder.,Rifai, Sami W..,Costa, Gabriel B..,...&Borma, Laura S..(2019).Phenology and Seasonal Ecosystem Productivity in an Amazonian Floodplain Forest.REMOTE SENSING,11(13).
MLA Fonseca, Leticia D. M.,et al."Phenology and Seasonal Ecosystem Productivity in an Amazonian Floodplain Forest".REMOTE SENSING 11.13(2019).
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