| 000 | 03187nab|a22003977a|4500 | ||
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| 999 |
_c62644 _d62636 |
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| 001 | 62644 | ||
| 003 | MX-TxCIM | ||
| 005 | 20211006073918.0 | ||
| 008 | 200910s2020||||ne |||p|op||||00||0|eng|d | ||
| 022 | _a0034-4257 | ||
| 024 | 8 | _ahttps://doi.org/10.1016/j.rse.2020.112062 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 0 |
_aXing Li _911009 |
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| 245 | 1 | 0 | _aSynergistic use of SMAP and OCO-2 data in assessing the responses of ecosystem productivity to the 2018 U.S. drought |
| 260 |
_aAmsterdam (Netherlands) : _bElsevier, _c2020. |
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| 500 | _aPeer review | ||
| 520 | _aSoil moisture and gross primary productivity (GPP) estimates from the Soil Moisture Active Passive (SMAP) and solar-induced chlorophyll fluorescence (SIF) from the Orbiting Carbon Observatory-2 (OCO-2) provide new opportunities for understanding the relationship between soil moisture and terrestrial photosynthesis over large regions. Here we explored the potential of the synergistic use of SMAP and OCO-2 based data for monitoring the responses of ecosystem productivity to drought. We used complementary observational information on root-zone soil moisture and GPP (9 km) from SMAP and fine-resolution SIF (0.05°; GOSIF) derived from OCO-2 SIF soundings. We compared the spatial pattern and temporal evolution of anomalies of these variables over the conterminous U.S. during the 2018 drought, and examined to what extent they could characterize the drought-induced variations of flux tower GPP and crop yield data. Our results showed that SMAP GPP and GOSIF, both freely available online, could well capture the spatial extent and dynamics of the impacts of drought indicated by the U.S. Drought Monitor maps and the SMAP root-zone soil moisture deficit. Over the U.S. Southwest, monthly anomalies of soil moisture showed significant positive correlations with those of SMAP GPP (R2 = 0.44, p < 0.001) and GOSIF (R2 = 0.76, p < 0.001), demonstrating strong water availability constraints on plant productivity across dryland ecosystems. We further found that SMAP GPP and GOSIF captured the impact of drought on tower GPP and crop yield. Our results suggest that synergistic use of SMAP and OCO-2 data products can reveal the drought evolution and its impact on ecosystem productivity and carbon uptake at multiple spatial and temporal scales, and demonstrate the value of SMAP and OCO-2 for studying ecosystem function, carbon cycling, and climate change. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_2AGROVOC _99061 _aSoil Water Content |
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| 650 | 7 |
_2AGROVOC _97636 _aFluorescence |
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| 650 | 7 |
_2AGROVOC _91081 _aDrought stress |
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| 650 | 7 |
_2AGROVOC _912789 _aDrylands |
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| 650 | 7 |
_2AGROVOC _95003 _aCarbon cycle |
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| 650 | 7 |
_aCrop yield _gAGROVOC _2 _91066 |
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| 650 | 7 |
_2AGROVOC _95833 _aVegetation index |
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| 700 | 0 |
_916206 _aJingfeng Xiao |
|
| 700 | 1 |
_916207 _aKimball, J.S. |
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| 700 | 1 |
_916208 _aReichle, R.H, |
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| 700 | 1 |
_916209 _aScott, R.L. |
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| 700 | 1 |
_92802 _aLitvak, M.E. |
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| 700 | 1 |
_916210 _aBohrer, G. |
|
| 700 | 1 |
_916211 _aFrankenberg, C. |
|
| 773 | 0 |
_tRemote Sensing of Environment _gv. 251, art. 112062 _dAmsterdam (Netherlands) : Elsevier, 2020. _x0034-4257 |
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| 942 |
_cJA _n0 _2ddc |
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