S14). This saturated PCE was mainly limited
by the large interface trap density. If the in-
terface trap density was reduced to that in a
MAPbI 3 thin single crystal (2.0 × 10^15 cm−^3 ),
the PCE could be further enhanced to 25.4%,
which is near the PCE of 26.6% for a trap-free
MAPbI 3 thin-film solar cell (Fig. 4G). Simula-
tion of single-crystal solar cells also gave data
that were a good match to the experimental
data ( 27 ), which again showed that the PCE
of the MAPbI 3 single-crystal solar cell could be
further improved to 26.8% once the interface
trap densities are reduced to that of the bulk
trap density (fig. S15).
Lower–band gap perovskites are being studied
to harvest more sunlight, so we simulated
perovskite thin-film solar cells with band gaps
of 1.50 and 1.47 eV, which correspond to the
compositions of FA0.92MA0.08PbI 3 and FAPbI 3
(if it can be stabilized), respectively ( 34 , 35 ).
Assuming that these materials have the same
trap densities (a bulk trap density of 5.0 ×
1014 cm−^3 and interface trap density of 1.0 ×
1017 cm−^3 ) and capture cross sections as reg-
ular polycrystalline MAPbI 3 thin films, the
devices showed PCEs of 22.5 and 22.8%, respec-
tively (fig. S16). The efficiencies could be further
increased to 27.7 and 28.4%, respectively, when
the trap densities in the thin film are substan-
tially reduced to be the same as those in single
crystals.
REFERENCES AND NOTES
- N.-G. Park,Mater. Today 18 , 65–72 (2015).
- L. M. Herz,ACS Energy Lett. 2 , 1539–1548 (2017).
- Q. Donget al.,Science 347 , 967–970 (2015).
- C. Gehrmann, D. A. Egger,Nat. Commun. 10 , 3141 (2019).
- S. B. Zhang, S.-H. Wei, A. Zunger,Phys. Rev. Lett. 78 ,
4059 – 4062 (1997). - K. X. Steireret al.,ACS Energy Lett. 1 , 360–366 (2016).
- W.-J.Yin,T.Shi,Y.Yan,Appl. Phys. Lett. 104 , 063903 (2014).
- C. Eameset al.,Nat. Commun. 6 , 7497 (2015).
- A. Walsh, D. O. Scanlon, S. Chen, X. G. Gong, S. H. Wei,Angew.
Chem. Int. Ed. 54 , 1791–1794 (2015). - G. J. Wetzelaeret al.,Adv. Mater. 27 , 1837–1841 (2015).
- W. Tresset al.,Adv. Energy Mater. 5 , 1400812 (2015).
- J. M. Ball, A. Petrozza,Nat. Energy 1 , 16149 (2016).
- T. Leijtenset al.,Adv. Energy Mater. 5 , 1500962 (2015).
- C. Ran, J. Xu, W. Gao, C. Huang, S. Dou,Chem. Soc. Rev. 47 ,
4581 – 4610 (2018). - Y. Shao, Z. Xiao, C. Bi, Y. Yuan, J. Huang,Nat. Commun. 5 ,
5784 (2014). - Y. Huet al.,Adv. Energy Mater. 8 , 1703057 (2018).
- I. Levineet al.,ACS Energy Lett. 4 , 1150–1157 (2019).
- C. M. Sutter-Fellaet al.,ACS Energy Lett. 2 , 709–715 (2017).
- A. Musiienkoet al.,Energy Environ. Sci. 12 , 1413–1425 (2019).
- E. T. Hokeet al.,Chem. Sci. 6 , 613–617 (2015).
- O. Hentz, Z. Zhao, S. Gradečak,Nano Lett. 16 , 1485– 1490
(2016). - C. E. Michelson, A. V. Gelatos, J. D. Cohen,Appl. Phys. Lett. 47 ,
412 – 414 (1985). - J. T. Heath, J. D. Cohen, W. N. Shafarman,J. Appl. Phys. 95 ,
1000 – 1010 (2004). - H.-S. Duanet al.,Adv. Funct. Mater. 23 , 1466–1471 (2013).
- Z. Chenet al.,Nat. Commun. 8 , 1890 (2017).
- D. Shiet al.,Science 347 , 519–522 (2015).
- Z. Chenet al.,ACS Energy Lett. 4 , 1258–1259 (2019).
- S. Yanget al.,Science 365 , 473–478 (2019).
- H.-S. Rao, B.-X. Chen, X.-D. Wang, D.-B. Kuang, C.-Y. Su,Chem.
Commun. 53 , 5163–5166 (2017). - W.-Q. Wuet al.,Sci. Adv. 5 , eaav8925 (2019).
- B. Chen, P. N. Rudd, S. Yang, Y. Yuan, J. Huang,Chem. Soc.
Rev. 48 , 3842–3867 (2019).
32. E. M. Tennyson, T. A. S. Doherty, S. D. Stranks,Nat. Rev. Mater.
4 , 573–587 (2019).
33. Q. Wanget al.,Energy Environ. Sci. 7 , 2359–2365 (2014).
34. Q. Jianget al.,Nat. Photonics 13 , 460–466 (2019).
35. T. Niuet al.,Energy Environ. Sci. 11 , 3358–3366 (2018).
ACKNOWLEDGMENTS
Funding:This work was supported by the Center for Hybrid
Organic Inorganic Semiconductors for Energy (CHOISE), an Energy
Frontier Research Center funded by the Office of Basic Energy
Sciences, Office of Science within the U.S. Department of Energy.
The study of the silicon device was supported by the Solar Energy
Technologies Office (SETO) within the U.S. Department of Energy
under award no. DE-EE0008749. Partial study of the single crystal
growth was supported by Defense Threat Reduction Agency
under Grant HDTRA1170054.Author contributions:J.H., Z.N., and
C.B. designed the experiments. Z.N. and Y.L. synthesized the
perovskite single crystals. Q.J., W.-Q.W., S.C., and B.C. fabricated
the polycrystalline perovskite thin-film solar cells. B.H., Z.Y., and
Z.H. fabricated the silicon solar cells. Z.N. and C.B. carried out
the capacitance measurements for the devices. Z.N. conducted
the solar cell simulations. S.C. and X.D. carried out electron
microscope measurements for the perovskites. J.H. and Z.N. wrote
the paper, and all authors reviewed the paper.Competing
interests:None declared.Data and materials availability:All
data needed to evaluate the conclusions in the paper are present in
the paper or the supplementary materials.
SUPPLEMENTARY MATERIALS
science.sciencemag.org/content/367/6484/1352/suppl/DC1
Materials and Methods
Supplementary Text
Figs. S1 to S16
Tables S1 to S3
References ( 36 – 39 )
4 November 2019; accepted 25 February 2020
10.1126/science.aba0893
REPORTS
◥
GEOMORPHOLOGY
Latitudinal effect of vegetation on erosion rates
identified along western South America
J. Starke, T. A. Ehlers*, M. Schaller
Vegetation influences erosion by stabilizing hillslopes and accelerating weathering, thereby providing a
link between the biosphere and Earth’s surface. Previous studies investigating vegetation effects on
erosion have proved challenging owing to poorly understood interactions between vegetation and other
factors, such as precipitation and surface processes. We address these complexities along 3500
kilometers of the extreme climate and vegetation gradient of the Andean Western Cordillera (6°S
to 36°S latitude) using 86 cosmogenic radionuclide–derived, millennial time scale erosion rates and
multivariate statistics. We identify a bidirectional response to vegetation’s influence on erosion whereby
correlations between vegetation cover and erosion range from negative (dry, sparsely vegetated
settings) to positive (wetter, more vegetated settings). These observations result from competing
interactions between precipitation and vegetation on erosion in each setting.
T
he impact of vegetation on the shape and
evolution of Earth’s surface ranges (for
example) from the microscopic scale of
Mycorrhiza weathering for plant nutri-
tion to macroscopic scales where plants
retard hillslope erosion, stabilize environments
for sediment deposition, and affect precipita-
tion through evapotranspiration, interception,
and leaf phenology ( 1 – 6 ). However, defining the
influence of vegetation on catchment-averaged
erosion rates has proven difficult because of,
among other things, nonlinear interactions be-
tween vegetation type and cover with precipi-
tation, temperature, and solar radiation ( 7 – 10 ).
One approach for disentangling the effects of
vegetation and climate on landscape evolution
requires quantifying catchment erosion rates
over a large range of climate and biogeographic
conditions. The production of cosmogenic radio-
nuclides in the upper ~2 m of Earth’s surface
provides one means for quantifying millennial
time scale catchment-averaged erosion rates
( 11 , 12 ). We investigate the relationships be-
tween catchment-averaged erosion rates with
vegetation cover, climate, and topographic
slope along the climate and ecological gradi-
ent of the Andean Western Cordillera, South
America.
The Andean Western Cordillera between 6°S
and 36°S latitude extends 3500 km (Fig. 1A)
and crosses six climate zones, from hyperarid
to temperate ( 13 ), and four distinct biogeo-
graphic regions (Fig. 1C and 2A) ( 14 ). Cos-
mogenic radionuclide–derived erosion rates
and their controlling factors have been inves-
tigated along the Andean Western Cordillera,
often with conflicting results [e.g., ( 15 , 16 )].
The emphasis of previous studies ranged from
quantification of erosion rates in the vegetation-
limited Atacama Desert ( 16 , 17 ) and sediment
storage in hyperarid environments ( 18 ) to the
rates of canyon incision and hillslope erosion in
the Andean Western Cordillera ( 19 ). Few studies
( 15 , 20 ) have previously looked at systematic
1358 20 MARCH 2020•VOL 367 ISSUE 6484 SCIENCE
Department of Geosciences, University of Tuebingen, 72074,
Germany.
*Correspondingauthor. Email: [email protected]
RESEARCH