Understanding the spatial variation in lithium concentration of high Andean Salars using diagnostic factors
Open accessAbstract
Salars (basins of internal drainage) in the "Lithium Triangle" countries (Argentina, Bolivia, Chile) hold >50 % of the global lithium resources within lithium-rich brines. Given the imperative for lithium production to enable the energy transition and that salars by their very nature are highly variable, so a framework to both characterise their differences as well as identifying their similarities would be beneficial to understanding their provenance and potential for exploitation. In this study, data for 29 salars based on environmental factors: rainfall, evaporation as well as their physical characteristic: pan size and basin size have been used to characterise them along with those describing their setting land-use/cover and geological outcrop. These parameters have been normalised by creating a ratio of the lithium concentration divided by the factor for each salar. Cross-correlation has been used to develop relationships between these normalised factors, combined with principal component analysis to identify clustering and to further characterise groupings of behaviours. Two such relationships emerge out of this process: regional and local. Regional covers factors such as elevation, precipitation, and evaporation; local includes size of watershed, salar nucleus, land cover and geological outcrop in the watershed. However, Salar de Atacama is identified as an outlier and so the transferability of the understanding of its provenance and operation must be treated with caution. Other salars could be added to the framework as more information becomes available. The methodology presented here could help exploration by characterising salars into categories as their smaller size may not necessarily mean lower lithium mass. Further, such a framework can inform policy decisions and instruments by recognising the complexity of salars combined with the need to understand the environmental impacts of brine extraction.
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TL;DR
This study normalizes lithium concentrations in 29 High Andean salars by diagnostic parameters to identify regional and local controls on lithium variability. It finds that regional factors (elevation, precipitation, evaporation) and local basin factors (pan area, basin area, land cover, volcanic geology) correlate with lithium, with Salar de Atacama as an outlier and some small salars showing high lithium concentrations.
Key findings
- Lithium concentrations across 29 salars ranged from 16 mg/l (Salar de Coposa) to 1000 mg/l (Salar de Atacama), with mean ≈336 mg/l and standard deviation 238 mg/l; TDS ranged from 20 g/l (Coposa) to 247 g/l (Salar de Rio Grande), mean ≈119 g/l and standard deviation 69 g/l.
- From 28 possible correlations among lithium-fraction factors, 13 significant correlations were identified: eight high (r > 0.5) and five moderate (0.3 < r ≤ 0.5). High correlations grouped regional factors (Li-elevation, Li-precipitation, Li-evaporation) and local factors (Li-pan area, Li-basin area, Li-land cover, Li-volcanic rocks area).
- Salar de Atacama is an outlier/end member, with a regional factor value of 13.1 while most remaining values are 2 or less; other regional exceptions include Punta Negra 5.12, Pedernales 4.71, Hombre Muerto 4.17, and Uyuni 3.95. Local hotspots include smaller salars such as Aguilar 6.46, Negro Francisco 6.06, Carcote/Ascotan 4.93, and Los Pozuelos 2.47, contradicting the assumption that only larger salars have higher lithium concentrations.
- Adding siliciclastic sedimentary rocks to volcanic geology improved correlations: pan area r = 0.44 to 0.76, basin area r = 0.59 to 0.9, land cover r = 0.59 to 0.8, and evaporation r = 0.40 to 0.41.
Methods
- The study examined 29 selected salars in the High Andean Lithium Triangle (Argentina, Bolivia, Chile). Data sources included DEM/SRTM elevation, ERA5-Land precipitation, Penman open-water evaporation, HydroSHEDS watershed boundaries, geological maps, GlobCover land cover, and lithium/TDS values compiled from López Steinmetz and Salvi (2021) and other sources.
- Diagnostic factors were calculated as Li_s^f = Li_s / dp_s, where dp_s is each diagnostic parameter (elevation, precipitation, evaporation, TDS, pan area, basin area, land cover, volcanic area). Scatter plots and Pearson correlations were classified as high, moderate, or low; hierarchical clustering used Euclidean distance with Nearest, Furthest, Average, and Ward linkage methods to identify clusters and outliers.
Limitations
- Stated: most existing lithium values are based on shallow sampling, and more detailed investigations and sampling at greater depth are required. The paper also notes that the significant area of white salt pan may increase uncertainties in surface parameters such as solar radiation and heat flux.
- Stated/evident: the study is correlational and based on compiled regional data for 29 salars; many parameters show limited core correlation, and the paper reports no clear systematic outcomes for several relationships. Missing TDS data were filled with mean values of adjacent basins for a few salars.
- Evident: reliance on existing datasets from multiple sources with different sampling depths and methods limits causal inference; the paper states that scientific conclusions built on Salar de Atacama may be at best partially applicable to other salars in the region.
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Cites
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Claims the paper makes
0 of 11 cited sources checked · 0 supported · 0 flagged
- Findingnone given
Normalising lithium by diagnostic parameters successfully produced environmental correlations.
“Normalising lithium by parameters successfully produced environmental correlations.”
Quote in the paperSubstantial claim - Findingnone given
Salar de Atacama is spatially an outlier.
“Atacama spatially is an outlier, and small salars may have high lithium concentration.”
Quote in the paperSubstantial claim - Findingreasoning
Lithium concentration level is not a matter of basin size.
“Lithium concentration level is not a matter of basin size.”
- Also stated in: § 2.2.1. Diagnostic parameters · hedged
“Indeed, most of the pan sizes of the salars are relatively small, and those that have the largest pan salt area in Andean Plateau, do not necessarily have the highest mean lithium concentration.”
Quote in the paperSubstantial claim - Also stated in: § 2.2.1. Diagnostic parameters · hedged
- Findingnone given
Small salars may have high lithium concentration.
“Atacama spatially is an outlier, and small salars may have high lithium concentration.”
Quote in the paperSubstantial claim - Findingown data
Ground elevation shows three groups of salars at different levels 3400, 3750 and 4000 m.a.s.l.
“Ground elevation -Generally high but shows three groups of salars at different levels 3400, 3750 and 4000 m.a.s.l.”
Quote in the paperNot a substantial claim
- Findingown data
Atacama, Olaroz-Cauchari, Uyuni, Laguna de los Pozuelos, and Lake Poopo appear as outliers in precipitation vs Li plot.
“Here, Atacama, Olaroz-Cauchari, Uyuni, Laguna de los Pozuelos, and Lake Poopo appears as outliers, away from the origin.”
Quote in the paperNot a substantial claim - Findingown data
Salar de Aguilar has a very different Li/basin-area factor of 0.654 compared to Ascotan and Arizaro.
“while Salar de Aguilar whilst in a similar setting has a very different Li/ basin-area factor of 0.654.”
Quote in the paperNot a substantial claim - Findingown data
Evaporation shows a more random distribution with grouping around 275 mg/l and 1100 mm/annum.
“Evaporationseemingly a more random distribution, but with grouping around 275 mg/l and 1100 mm/annum.”
Quote in the paperNot a substantial claim - Findingnone given
The majority of the salars studied have a similar size (watershed size <5000 km2).
“The majority of the salars studied have a similar size (watershed size for the majority <5000 km 2 ).”
Quote in the paperSubstantial claim - Findingown data
Salt pan area shows a linear relationship with Li concentration for smaller areas.
“Salt pan arealinear relationship for smaller areas can be observed”
Quote in the paperSubstantial claim - Findingown data
Basin characteristics (watershed and salt-pan sizes, land cover, geological formation) have limited correlation with weather and topographic patterns (elevation, precipitation, evaporation), apart from a moderate correlation of geology with evaporation.
“Noticeably, basin characteristics have limited correlation with weather and topographic patterns, indeed watershed and salt-pan sizes; land cover; and geological formation are not related to elevation, precipitation, and evaporation, apart from a moderate correlation of geology with evaporation (as factors), as regional patterns may partially be in context.”
Quote in the paperSubstantial claim - Findingown data
Elevated concentrations of lithium exist outside the area 66°30′ to 68°30′ / 30°-24° proposed by López Steinmetz and Salvi (2021).
“What is clear is that elevated concentrations of lithium exist outside of 66 o 30′ to 68 o 30' /30 o -24 o proposed by López Steinmetz and Salvi (2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites López Steinmetz and Salvi (2021) source
Not checked in the free run.
- Findingown data
The lithium environment for Salar de los Pozuelos is modified and improved in relation to those identified in cluster A.
“The lithium environment for Salar de los Pozuelos is modified and improved in relation to those identified in cluster A, comparing with Fig. 4(a).”
Quote in the paperNot a substantial claim - Findingnone given
Basin area (detail) shows a number of potential linear relationships.
“Basin area (detail) -a number of potential linear relationships can be identified.”
Quote in the paperNot a substantial claim - Findingown data
Many salars are in line with regional patterns of annual precipitation and evaporation like Salar de Atacama.
“Although many salars are in line with regional patterns of annual precipitation and evaporation like Salar de Atacama, as in Fig. 2c and d respectively”
Quote in the paperNot a substantial claim - Findingown data
General local patterns are much harder to discern than lithium concentration itself.
“Examining Fig. 6c shows that as for the distribution of regional parameters, the general local patterns are much harder to discern than for the lithium concentration itself.”
Quote in the paperNot a substantial claim - Findingnone given
Large salars are generally outliers such as Atacama, Uyuni, Poopo, and Coipasa.
“However, in general large salars are outliers such as Atacama, Uyuni, Poopo, and Coipasa.”
Quote in the paperNot a substantial claim - Findingown data
There is a general regional pattern of higher lithium values in the central area (~1000 mg/l) and lower values in the central southern part (60-130 mg/l).
“Examining Fig. 6a shows that there is a general regional pattern of higher values in the central area (~1000 mg/l) with lower values in the central southern part of the region (60-130 mg/l).”
Quote in the paperNot a substantial claim - Findingown data
Atacama, Olaroz-Cauchari, Laguna Blanca, and Negro Francisco appear as outliers in evaporation vs Li.
“Atacama, Olaroz-Cauchari, Laguna Blanca, and Negro Francisco appear to be outliers with limited parameter significance, again.”
Quote in the paperNot a substantial claim - Findingnone given
Land cover shows very similar relationship to basin size.
“Land coververy similar to basin size (f)”
Quote in the paperNot a substantial claim - Findingnone given
Normalisation using lithium concentration (ratio of Li concentration to the parameter) is required to identify a relationship and subsequent correlation between different parameters.
“Normalisation using lithium concentration is required to identify a relationship and subsequent correlation between the different parametersratio of Li concentration to the parameter under investigation.”
Quote in the paperSubstantial claim - Findingown data
It is possible to relate lithium concentration to the area of the saltpan, basin, bare land cover, and volcanic formation.
“It is, however, possible to relate lithium concentration to the area of the saltpan, basin, bare land cover, and volcanic formation.”
Quote in the paperSubstantial claim - Findingown data
Land Cover correlation increased from r = 0.59 to 0.8.
“and the relationship with Land Cover increased from r = 0.59 to 0.8”
Quote in the paperSubstantial claim - Findingnone given
Salt pan area (detail) generally shows linear relationship between pan area and Li concentration.
“Salt pan area (detail) -generally speaking shows linear relationship between pan area and Li concentration.”
Quote in the paperSubstantial claim - Findingown data
Low correlations (r < 0.3) for the other 15 relationships.
“while low correlations for other 15 relationships as r < 0.3.”
Quote in the paperSubstantial claim - Findingreasoning
Volcanic shows very similar relationship to basin size and land cover.
“Volcanicvery similar again to ( f) and (g)”
Quote in the paperNot a substantial claim - Findingown data
Basin area correlation significantly improved from r = 0.59 to 0.9.
“correlation for basin area significantly improved from r = 0.59 to 0.9”
Quote in the paperSubstantial claim - Findingown data
Re-calculating relationships with additional siliciclastic sedimentary rocks included with Volcanic rocks shows a noticeable improvement in correlation.
“The relationships between the factors and normalised lithium concentration were re-calculated, as in Fig. 7 -Scatter plots, and a noticeable improvement in the correlation.”
Quote in the paperSubstantial claim - Findingreasoning
It is not possible to relate lithium concentration to a significant number of the parameters describing the variation of the properties of the salars.
“In summary, it is not possible to relate lithium concentration to a significant number of the parameters describing the variation of the properties of the salars.”
Quote in the paperSubstantial claim - Findingnone given
Salar de Atacama is identified as an end member.
“Importantly Salar de Atacama is identified as an end member”
Quote in the paperSubstantial claim - Findingnone given
Salar de Uyuni is an exception due to its size and elevated lithium concentration.
“Salar de Uyuni, due to its size and lithium elevated concentration, is also an exception.”
Quote in the paperNot a substantial claim - Findingown data
In plots (c) and (d), Laguna de los Pozuelos and Salar de Olaroz-Cauchari were not outliers, as in Fig. 5(d) and (e).
“In plots (c) and (d), Laguna de los Pozuelos and Salar de Olaroz-Cauchari not outliers, as in Fig. 5(d) and (e).”
Quote in the paperNot a substantial claim - Premisecitation
Environmental linkage of lithium evolution over high Andean salars has not yet been identified.
“Environmental linkage of lithium evolution over high Andean salars not yet identified”
- Also stated in: § 1. Introduction · plain
“however how each of these characteristics are correlated with respect to lithium evolution has not yet been fully explored (Munk et al., 2016), accordingly variation in the spatial regional lithium concentrations pattern have not been fully developed (López Steinmetz et al., 2020).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Munk et al., 2016
Not checked in the free run.
- cites López Steinmetz et al., 2020 source
Not checked in the free run.
- Also stated in: § 1. Introduction · plain
- Interpretationreasoning
Any scientific conclusions built on Salar de Atacama may be at best partially applicable to other salars in the region.
“In other words, any scientific conclusions built on Salar de Atacama may be at best partially applicable to other salars in the region.”
Quote in the paperSubstantial claim - Interpretationreasoning
Given pan size is relatively constant during salar lifetime, the trend in Li concentration could indicate age of salar/development.
“Hence, given pan size is relatively constant during salar lifetime then trend in Li concentration could indicate age of salar/development.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Pan size is relatively constant during salar lifetime.
- Interpretationown data
Siliciclastic sedimentary rock such as Carbonate and Evaporitic may have a role in lithium evolution, by providing a leachable source of lithium.
“Siliciclastic sedimentary rock (Fig. 7 -Geological map -pink colour) such as Carbonate and Evaporitic may well have a role in lithium evolution, in particular by providing a leachable source of lithium.”
Quote in the paperSubstantial claim - Interpretationown data
This contradicts the assumption that only larger salars have higher lithium concentrations as postulated by López Steinmetz and Salvi (2021).
“This contradicts the assumption that only larger salars have higher lithium concentrations as postulated by López Steinmetz and Salvi (2021).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites López Steinmetz and Salvi (2021) source
Not checked in the free run.
- Interpretationreasoning
Salar location is not a good predictor of climate.
“So salar location is not a good predictor of climate”
Quote in the paperSubstantial claim - Interpretationreasoning
This leads to clustering around the parameter with increasing lithium concentration.
“This leads to clustering around the parameter with increasing lithium concentration.”
Quote in the paperSubstantial claim - Interpretationnone given
Lithium availability from source rocks and time to accumulate lithium in salars is key to developing an economically exploitable lithium resource.
“Lithium availability from source rocks and time to accumulate lithium in the salars is key to developing an economic exploitable lithium resource.”
Quote in the paperNot a substantial claim - Premisecitation
Most existing lithium concentration values for the High Andean salars are based on shallow sampling.
“most of the existing Li values are based on shallow sampling, like in López Steinmetz et al. (”
Quote in the paperSubstantial claim0 of 1 sources checked- cites López Steinmetz et al.
Not checked in the free run.
- Interpretationreasoning
This affects exploration as it can identify smaller salars with hotspots of lithium that could provide economic amounts for extraction.
“which affects exploration as it can identify smaller salars that have hotspots of lithium that could provide economic amounts for extraction.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 21
- May combine two claims. 71
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenThe mean evaporation rate for Salar de Uyuni is approximately 850 mm/annum but increases to the south to approximately 1200 mm/annum.
“The mean evaporation rate for Salar de Uyuni is approximately 850 mm/annum but increases to the south to approximately 1200 mm/annum (see Fig. 1c).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenSalar de Atacama and Salar de Punta Negro are located within the area of highest evaporation rate in the western side of the Andes (>1300 mm/annum), which coincides with the very low rainfall rate in the eastern part of the study area.
“Salar de Atacama and Salar de Punta Negro are located within the area of highest evaporation rate in the western side of the Andes (>1300 mm/annum), which coincides with the very low rainfall rate in eastern part of the study area (Fig. 1c).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSalars de Ascotan and Arizaro have similar Li/basin-area factors (0.0026 and 0.0028), implying similar lithium evolution environment with respect to basin area.
“Salars de Ascotan and Arizaro have similar Li/basin-area factors0.0026and 0.0028, respectively, which imply that lithium concentration proportion to basin area is in context in both salars.In other words, both could have a similar lithium evolution environment with respect to basin area”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenRegional lithium concentration varies between 16 mg/l in Salar de Coposa and 1000 mg/l in Salar de Atacama, with mean approximately 336 mg/l and standard deviation 238 mg/l.
“Regional lithium concentration varies between 16 mg/l in Salar de Coposa, and 1000 mg/l in Salar de Atacama, with mean of approximately 336 mg/l and standard deviation of 238 mg/l.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTDS ranges from 20 g/l in Salar de Coposa to 247 g/l in Salar de Rio Grande, with mean 119 g/l and standard deviation 69 g/l; 12 salars have TDS <100 g/l, 13 have 100-200 g/l, and 5 have >200 g/l.
“It ranged from 20 g/l in Salar de Coposa, to 247 g/l in Salar de Rio Grande with mean and standard deviation about 119 and 69 g/l, respectively, in which 12 salars with TDS < 100 g/l, and 13 in range of 100-200 g/l, while only 5 salars exhibit TDS > 200 g/l.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere is a limited single correlation between ground elevation and lithium concentration, with possible multilinear discrete relationships.
“There is a limited single correlation against lithium concentration, with possible multilinear discrete relationships.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Findingown dataLimited core correlation exists between precipitation and lithium concentration, with possible discrete linear radial relationships from origin.
“As for ground elevation, limited core correlation exists, with possible some discrete linear radial relationships from origin.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingreasoningThere is a possible inverse relationship between precipitation and lithium concentration (Li proportional 1/p), as salars with high lithium concentration are located in a low precipitation zone, such as Atacama, Olaroz-Cauchari, and Uyuni.
“possibility of an inverse relationship (Li proportional 1/p), as salars with high lithium concentration are located in a low precipitation zone, such as Atacama, Olaroz-Cauchari, and Uyuni.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAtacama is an outlier with the lowest elevation and the highest lithium concentration.
“Clearly, Atacama is an outlier with the lowest elevation and the highest lithium concentration.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMultivariable sensitivity analysis of Regional Factors shows Salar de Atacama has its own major cluster using Nearest, Furthest, and Average linkage, and a separate sub-cluster in Ward.
“Multivariable sensitivity analysis of Regional Factors shows Salar de Atacama has its own, major cluster using Nearest, Furthest, and Average linkage, and a separate sub-cluster in Ward, as shown in Fig. S2 in Supplementary data.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataUyuni, Atacama, and Coipasa are significant outliers; Lake Poopo and Salar de Arizaro are just away from core correlation trend in salt pan area vs Li.
“but with three significant outliers: Uyuni, Atacama and Coipasa, and with Lake Poopo and Salar de Arizaro just away from core correlation trend.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGround elevation, precipitation, evaporation, and TDS cannot be related to lithium concentration.
“In particular ground elevation, precipitation, evaporation, and TDS, cannot be related.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataModerate correlations (0.3 < r ≤ 0.5) are identified for Li/TDS with Elevation, Precipitation, and Evaporation; and Li/Volcanic rock with Pan-area and Evaporation.
“Moderate correlations (r∈ (0.3,0.5]) of: TDS (Li TDS ) with Elevation, Precipitation, and Evaporation; and Volcanic rock with Pan-area and Evaporation recognized”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLocal factors group basin characteristics: Pan-salt area, Basin area, Geology, Land Cover, expressing similarities in lithium evolution environment at a local scale, that may fully or partially participate or affect lithium concentration evolution.
“On the other hand, Local factors grouped basin's characteristics of Pan-salt area (Li P-area ), Basin area (Li B-area ), Geology (Li Geo ), and Land Cover area (Li LC ), as in Fig. 2(a), (c), and (d) respectively, expressing similarities in lithium evolution environment at a local scale, that may fully or partially participate or effect lithium concentration evolution.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSalar de Incagausi moved from cluster No.1 to No.2 in Average linkage, and returns to No.1 in Ward.
“Salar de Incagausi moved from cluster No.1 to No.2 in Average linkage, and then returns back to No.1 in Ward.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningLarge salars coincide in one cluster (No.1), but some small salars are located within the same cluster, possibly due to their maturity in lithium evolution.
“Noticeably, large salars coincide in one cluster (No.1), however some small salars located within the same cluster which may be due to their maturity in terms of lithium evolution.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEvaporation correlation slightly improved from r = 0.40 to 0.41, but outliers exposed clearly.
“Evaporation slightly improved, r = 0.40 to 0.41, but outliers exposed clearly (compare with Fig. 4(a))”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningEvaporation is highly correlated to elevation, but rainfall isn't linked as well.
“This means that whilst evaporation is highly correlated to elevation, rainfall isn't linked as well.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe correlation for Aguilar, Negro Francisco, and Carcote is noticeably reduced in all cases in Fig. 7, having small size and high lithium concentration.
“However, the correlation for Aguilar, Negro Francisco, and Carcote is noticeably reduced in all cases in Fig. 7 having small size and high lithium concentration.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCore correlation and parameter significance are evident for salt pan area.
“Here, core correlation and parameter significance are evident.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFrom 28 possible correlations, thirteen significant correlations are identified: eight high and five moderate.
“From 28 possible correlations, thirteen significant correlations are identified, as Eight ∈ high and Five ∈ moderate.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLimited core correlation between evaporation and Li, with possibility of different linear relationships.
“Again, limited core correlation with possibility of different linear relationships.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe majority of the outcrop of these geological units covers the northern, central-eastern and western parts of the area.
“The majority of the outcrop of these geological units covers the northern, central-eastern and western parts for the area.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRemoving Atacama from Precipitation vs Evaporation allows greater detail; cluster C covers only Hombre Muerto, Laguna Blanca, and Coipasa, with Olaroz-Cauchari and Los Pozuelos as outliers.
“Precipitation vs Evaporation -removing Atacama allows greater detail to be identified as in (j), just C covered only Hombre Muerto, Laguna Blanca, and Coipasa and with Olaroz-Cauchari and Los Pozuelos as outliers.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLaguna de los Pozuelos found as outlier in both methods; others (Olaroz-Cauchari, la Isla, Huasco, Negro Francisco, Aguilar) possibly in grey area or cliff edge of cluster zones.
“Laguna de los Pozuelos found as outlier in both methods, others (i.e., Olaroz-Cauchari, la Isla, Huasco, Negro Francisco, and Aguilar) possibly being in grey area or cliff edge of cluster zones.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataGeneral regional patterns are much harder to discern than lithium concentration itself, as distribution is heavily dominated by Salar de Atacama (13.1), most remaining values are 2 or less.
“The general regional patterns (Fig. 6b) are much harder to discern than for the lithium concentration itself as the distribution is heavily dominated by the Salar de Atacama (SdA) (13.1), most of the remaining values are 2 or less.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSalar de Olaroz-Cauchari, Atacama, and Uyuni have high lithium concentration and evaporation rate; only Atacama and Uyuni stand out in Fig. 7(b) as they have larger sizes and extra potential lithium sources.
“For the case of Salar de Olaroz-Cauchari, which in common with Atacama and Uyuni in having high lithium concentration and evaporation rate, only the last two stands out in Fig. 7 (b), as they have larger sizes and extra potential lithium sources.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRemoving Atacama from Elevation vs Evaporation allows greater detail with three clusters A, B, C; Olaroz-Cauchari, Uyuni, Hombre Muerto, and Pedernales in C, others in B and A, with very high correlation (r = 0.94).
“Elevation vs Evaporation -removing Atacama allows greater detail to be identified with three clusters A, B, and C. Here, Olaroz-Cauchari, Uyuni, Hombre Muerto, and Pedernales covered in C, others in B and A proving very high correlations (r = 0.94), expressing strong harmony of patterns within clusters, then their lithium environment evolution.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHigh correlations (r > 0.5) are identified for Li/Elevation, Li/Evaporation, Li/Precipitation (three), and Li/Pan-salt area, Li/Bare land cover, Li/Basin area, Li/Volcanic rocks area (five).
“Groups of Three and Five high correlations identified (r > 0.5) of: Elevation (Li Elev ), Evaporation (Li ET ), and Precipitation (Li Pr ); and Pan-salt area (Li P-area ), Bare land cover (Li LC ), Basin area (Li B-area ), and Volcanic rocks area (Li Geo ), respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenExceptions include Salar de Punta Negra 5.12, Pedernales 4.71, Hombre Muerto 4.17, and Uyuni 3.95.
“However, there are exceptions such as at Salar de Punta Negra 5.12, Pedernales 4.71, Hombre Muerto 4.17, and Uynui 3.95.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningThere is a very significant cluster around smaller salars, but with a spread of the ratio of lithium to size parameters.
“Localvery significant cluster around smaller salars, but with a spread of the ratio of lithium to size parameters.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe histogram of parametric distribution is generally skewed to the right, clustering around low values then sharply reduced towards higher values, with gaps possibly due to dataset outliers (Li Pr, Li Elev, Li TDS, Li Geo) or data splitting (Li LC, Li B-area).
“In general, the histogram of parametric distribution is skewed to the right, i.e., clustering around low values then sharply reduced towards higher values, with some gaps noticed which possibly due to dataset outliers, as in Li Pr , Li Elev , Li TDS , and Li Geo , or data splitting as in Li LC and Li B-area .”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenThe lowest salar, Atacama, is the most western and is impacted by the Atacama Desert climate.
“The lowest salar, Atacama is the most western and so impacted by the Atacama Desert climate.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere are similarities between parameters characterising salars, but also significant differences.
“The work presented here has demonstrated that whilst there are similarities between the parameters characterising salars, there are still significant differences.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLimited core correlation and parameter significance between TDS and Li, with Atacama and Olaroz-Cauchari as apparent outliers.
“Like previous relationships, limited core correlation and parameters significance, with Atacama Olaroz-Cauchari as apparent outliers.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataElevation, Precipitation, and Evaporation are grouped under Regional Factors relevant to regional spatial patterns, pointing to similarities in lithium evolution environment at a regional scale.
“Elevation (Li Elev ), Precipitation (Li Pr ), and Evaporation (Li ET ) are grouped under Regional Factors that are relevant to regional spatial patterns, building on Fig. 2(a), (b), and (c), respectively, pointing to similarities in lithium evolution environment at a regional scale.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor precipitation, six patterns ranged 0.032-13.0, consistent with precipitation patterns in Fig. 1(c), with Atacama as an outlier.
“(b) Precipitation -Generally six patterns ranged 0.032-13.0 in context with precipitation patterns in Fig. 1(c), with Atacama as an outlier.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor evaporation, five patterns ranged 0.013-1.027, following evaporation patterns in Fig. 1(d), with Atacama, Olaroz-Cauchari, Uyuni, Negro Francisco, Hombre Muerto, and Pedernales as outliers.
“(c) Evaporation -Five patterns ranged 0.013-1.027follow evaporation patterns (Fig. 1(d)), with Atacama, Olaroz-Cauchari, Uyuni, Negro Francisco, Hombre Muerto, and Pedernales as outliers.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor salt pan area, four main and three bottom limited patterns ranged 0.032-13.07; Uyuni, Atacama, Coipasa, Lake Poopo, and Arizaro were not outliers, while Salar del Huasco, Carcote, Aguilar, and Negro Francisco appeared as outliers.
“(e) & (i) Salt pan area -Four main and three bottom limited patterns ranged 0.032-13.07.Here, Uyuni, Atacama, Coipasa, Lake Poopo, and Arizaro are NOT outliers as they are in context environment with others, and Salar del Huasco, Carcote, Aguilar, and Negro Francisco appear as outliers.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor land cover, four main and three bottom limited patterns ranged 0.006-2.427, with Liullaillaco and Rio Grande joining the outliers as in (f).
“(g) & (k) Land cover -Four main and three bottom limited patterns ranged 0.006-2.427,with Liullaillaco and Rio Grande join the outliers as in (f).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningLarger salars have significant lithium mass, but smaller salars show greater lithium concentration that belies their size.
“Whilst the larger salars have significant lithium mass, smaller salars show greater lithium concentration that belies their size.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong the studied High Andean salars, 5 have lithium concentration <100 mg/l, 19 have 100-500 mg/l, and 5 have ≥500 mg/l.
“) Li < 100; (2) 100 ≤ Li < 500; and (3) Li ≥ 500, in which (1) 5 salars (2) 19 salars; and (3) 5 salars, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor regional parameters, only Salar de Atacama was recognized as an outlier, and clustering was not clear.
“(f), (g), (h) are for Regional Parameters with only outlier recognized, Salar de Atacama, as clustering not clear”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor basin size, five main and two bottom limited patterns ranged 0.002-1.027, with Salar de Carcote, Aguilar, la Isla, and Negro Francisco as outliers.
“(f) & (j) Basin size -Five main and two bottom limited patterns ranged 0.002-1.027,with Salar de Carcote, Aguilar, la Isla, and Negro Francisco as outliers.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor volcanic rock area, patterns similar in number to land cover ranged 0.013-5.682, with Laguna de los Pozuelos joining the outliers as in (f).
“(h) & (l) Volcanic -Similar patterns numbers as in (g) ranged 0.013-5.682,with Laguna de los Pozuelos join outliers as in (f)”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningHigher seasonal rainfall means annual flooding of the salar surface occurs, resulting in surface ponding, in contrast to Atacama and other salars where lagunas are groundwater fed.
“and the latter means that annual flooding of the salar surface occurs resulting in surface ponding in contrast to Atacama and other salars where the lagunas are groundwater fed.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor ground elevation, four zones (patterns) in the range 0.006-0.433 were observed; most salars clustered in the blue, green, and yellow zones, and only Atacama, Olaroz-Cauchari, and Uyuni were outliers at the light brown end.
“(a) Ground elevation -Generally four zones (patterns) in range of 0.006-0.433observed, most salars clustered in zones blue, green, and yellow, and only three (Atacama, Olaroz-Cauchari, and Uyuni) at the end (light brown) as outliers.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the lithium-versus-parameter scatter plots, plots (a)-(d) show correlations with cloudy distribution, while plots (e)-(h) show most salars clustering close to the bottom right corner, with some away such as Lake Poopo, Uyuni, Coipasa, Atacama, and Olaroz-Cauchari because they have larger basin areas.
“Plots from (a) to (d) shows correlations due to cloudy distribution, while (e) to (h) shows most of salars clusters close to bottom right corner, and some are away such as Lake Poopo, Uyuni, Coispasa, Atacama, and Olaroz-Cauchari Salars, as they have larger basins' area.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWithin the 100-500 mg/l lithium concentration class, 3 salars are in the 100-200 mg/l sub-class, 12 are in the 200-400 mg/l sub-class, and 4 are in the 400-500 mg/l sub-class.
“Noticeably, the lithium concentration of most salars is within class (2), in which 3 salars are in the 100-200 mg/l sub-class, 12 salars are within the range of 200-400 mg/l sub-class and 4 salars are within the 400-500 mg/l sub-class.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the lithium-fraction scatter plots, la Isla and de Huasco were outliers in plot (b) [Li P-area vs Li LC], while Laguna de los Pozuelos and Salar de Olaroz-Cauchari were outliers in plots (d) [Li B-area vs Li Geo] and (e) [Li LC vs Li Geo], respectively.
“In plot (b) [Li P-area vs Li LC ] Salars to la Isla and de Huasco identified as outliers, while in (d) [Li B-area vs Li Geo ] and (e) [Li LC vs Li Geo ] are Laguna de los Pozuelos and Salar de Olaroz-Cauchari, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPearson coefficient (r) improved in (a) from about 0.44 to 0.76, (b) 0.4 to 0.41, (c) 0.59 to 0.9, and (d) 0.59 to 0.80.
“Pearson coefficient (r) improved in (a) from about 0.44 to 0.76, (b) 0.4 to 0.41, (c) 0.59 to 0.9, and (d) 0.59 to 0.80.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenSalar de Atacama is an end member particularly in relation to elevation and climatic parameters.
“Salar de Atacama is an end member particularly in relation to elevation and climatic parameters.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe scatter matrix of lithium-fraction illustrates 28 possible relevant correlations based on Pearson coefficient (r); eight high positive correlations were observed with r > 0.5, and five positive moderate correlations with r ∈ (0.3, 0.5]; the others had weak positive and negative correlations.
“Scatter matrix plot of lithium-fraction illustrates 28 possible relevant correlations based on Pearson coefficient (r).Eight high positive correlation observed (highlighted in red) with r > 0.5, and Five positive moderate correlation (highlighted in green) with r∈(0.3,0.5].Others (faded) have week positive and negative correlations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenSalar de Uyuni has unique features: elevated magnesium concentrations and higher seasonal rainfall resulting in annual flooding.
“However, similarly to Atacama, Salar de Uyuni has other unique features such as elevated magnesium concentrations and its higher seasonal rainfall resulting in annual flooding.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor TDS, five patterns ranged 0.433 to >13.0, with Laguna Blanca and Salar de Punta Negro as outliers.
“(d) TDS -Five patterns ranged 0.433-> 13.0 with Laguna Blanca and Salar de Punta Negro as outliers.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationBradley et al. (2013) identified seven common regional and local characteristics of lithium-rich brine using an ore deposit model: arid climate; closed basin containing a playa or salar; tectonically driven subsidence; associated igneous or geothermal activity; suitable lithium source-rocks; one or more adequate aquifers; and sufficient time to concentrate a brine.
“Common regional and local characteristics (or parameters) of Li-rich brine have been identified by Bradley et al. (2013) using an ore deposit model approach: ( 1) arid climate; (2) closed basin containing a playa or salar; (3) tectonically driven subsidence; (4) associated igneous or geothermal activity; (5) suitable lithium source-rocks; (6) one or more adequate aquifers; and ( 7) sufficient time”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bradley et al. (2013)
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationHow each of Bradley et al.'s characteristics correlates with lithium evolution has not yet been fully explored, and spatial regional lithium concentration patterns have not been fully developed.
“however how each of these characteristics are correlated with respect to lithium evolution has not yet been fully explored (Munk et al., 2016), accordingly variation in the spatial regional lithium concentrations pattern have not been fully developed (López Steinmetz et al., 2020).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Munk et al., 2016
Not checked in the free run.
- cites López Steinmetz et al., 2020 source
Not checked in the free run.
May combine two claims.
PremisecitationLithium-bearing salars form through a combination of geological, hydrological, and meteorological processes: lithium is leached from suitable country rocks in inland drainage basins, transported in solution by rivers and groundwater into lower-lying areas, and concentrated into residual brine by evaporation.
“Lithium-bearing salars form through a combination of geological, hydrological, and meteorological process: lithium is leached from suitable country rocks in inland drainage basins and transported in solution by rivers and groundwater into lower-lying areas.Here, evaporation greatly exceeds precipitation, hence water is lost through evaporation and Li and other elements are gradually precipitated”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Houston et al., 2011 source
Not checked in the free run.
May combine two claims.
Study design and conductcitationThe Penman Monteith, Priestley-Taylor, and Hargreaves evapotranspiration models show harmonic spatial patterns with maximum values exceeding 1500 mm/annum, while Makkink gives about 500 mm/annum and is likely not applicable in arid climates.
“It shows that spatial patterns and values are harmonic in Penman Monteith reference (a), Priestley -Taylor (b), and Hargreaves (c) models, with maximum values exceeds 1500 mm/annum, while Makkink (d) have about 500 mm/annum, as Makkink formula express evapotranspiration of well-watered short grass in summer time (De Bruin, 1987), which are likely not to be applicable in arid climates.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites De Bruin, 1987
Not checked in the free run.
May combine two claims.
Interpretationown dataIt is not possible to identify clear regional patterns of lithium distribution from ground elevation, or more precisely, limited parameter significance.
“Thus, it is not possible to identify clear regional patterns of lithium distribution, or more precisely, limited parameter significance.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningMore investigation is required to identify relevant lithium sources since no extra sources have been added by this process.
“This means that more investigation is required to identify relevant lithium sources since no extra sources has been added by this process.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataBoth conclusions (Marazuela et al. 2018 and Moran et al. 2022) may be applicable on Atacama, but may not on others, as current results show.
“Both conclusions, even though they are conflicting, may be applicable on Atacama, but may not on others, as current results show.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningAtacama has the lowest elevation than others, leading to its being considered as its own major cluster.
“however Atacama has the lowest elevation than others leading to its being considered as its own major cluster.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese are smaller salars in close proximity to source rocks, i.e., volcanic.
“These are smaller salars in close proximity to source rocks, i.e., volcanic.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningGiven the timescales required to accumulate lithium, this clustering could be related to developmental path and age of the salar.
“Given the timescales required to accumulate lithium in any salar, this clustering could be related to developmental path and the age of the salar.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Timescales required to accumulate lithium in any salar are such that clustering could be related to developmental path and age.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenRegional climate influence is loosely related to elevation (orographic effect); north-south air masses produce higher rainfall and lower evaporation at higher elevations.
“Regionalclimate influence is loosely related to elevation (orographic effect), but importantly north-south air masses produce higher rainfall and lower evaporation at higher elevations.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningIt is likely that watersheds/basins exist in which significant solutes can be leached to produce high TDS, but that they may be lacking in source rocks providing significant lithium mass.
“It is likely that watersheds/basins exist in which significant solutes can be leached to produce high TDS, but that they may be lacking in source rocks providing significant lithium mass.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThere is no single source of best practice and no unified set of rules that can work for all salars.
“The corollary of the differences between salars is that there is no single source of best practice and, therefore, no unified set of rules that can work for all the salars.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataAt a regional scale, Atacama has a different lithium-environment than others, evident by its highest lithium concentration.
“At a regional scale, Atacama has a different lithium-environment than others, which evident by the fact it has the highest lithium concentration that is matching the finding of apparent clusters.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationcitationThese results are unable to provide clear systematic outcomes about lithium concentration spatial variations/patterns, or about salars' similarities/anomalies.
“As for López Steinmetz and Salvi (2021) these results are unable to provide clear systematic outcomes about lithium concentration spatial variations/ patterns, or about salars' similarities and/anomalies.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites López Steinmetz and Salvi (2021) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningThese group of salars could show the importance of flow through higher rainfall and greater evaporation leading to greater lithium mass brought into the salar and, ultimately, via evaporative processes concentration of lithium.
“These group of salars could show the importance of flow throughhigher rainfall and greater evaporation leading to greater lithium mass brought into the salar and, ultimately, via evaporative processes concentration of lithium.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Inflow waters contain high enough concentrations of lithium for long periods of time.
May combine two claims.
InterpretationreasoningSdA presents such a dominant value due to its relatively low elevation (2500 m ASL), low rainfall and high evaporation.
“SdA presents such a dominant value due to its relatively low elevation (2500 m ASL), low rainfall and high evaporation.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThere is a potential for greater propensity for dissolution by surface or groundwaters and could be re-worked after lithium is concentrated in these deposits.
“There is a potential to have a greater propensity for dissolution by either surface or groundwaters and could be re-worked after the lithium is concentrated in these deposits.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataIn (k) [Li Pr vs Li ET], Laguna de los Pozuelos and Salar de Olaroz-Cauchari were also recognized as outliers, which may indicate possible basin environment similarity.
“In (k) [Li Pr vs Li ET ] Laguna de los Pozuelos and Salar de Olaroz-Cauchari also recognized as outliers, which may refer to possible basin's environment similarity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningThe greater lithium concentration in smaller salars could be due to proximity of lithium sources related to volcanoes bringing lithium to the surface.
“This could be due to the proximity of lithium sources to these salars related to volcanoes and their role in bringing lithium to the surface”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenThis work has provided a framework by which salars can be placed in context of both their past and current state of development.
“This work has provided a framework by which salars can be placed in context of both their past and current state of development.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataSalars within the same colour zone are in context in lithium environment evolution, and those within higher-value zones are outliers, as shown in zoom plots (i)-(l), such as Aguilar, Carcote, Negro Francisco, and la Isla.
“Here, salars within same colour zone are in context in lithium environment evolution, and those within higher values zones are outliers, as shows in zoom plots (i) to (l), such as Aguilar, Carcote, Negro Francisco, and la Isla Salars.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThis work illustrates the complexities of salar systems.
“Finally, this work illustrates the complexities of salar systems”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningElevated magnesium concentrations result in problems processing brines.
“The former results in problems in terms of processing the brines”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationnone givenThe geological map is as in Fig. 2(c), except that sedimentary rock type Siliciclastic is separated from other types, such as Carbonate and Evaporitic, which possibly participate in lithium evolution.
“The geological map is as in Fig. 2(c), except sedimentary rock type Siliciclastic [light pink] apart of other types, such as Carbonate and Evaporitic which possibly participate in lithium evolution.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Pan size is relatively constant during salar lifetime.
“given pan size is relatively constant during salar lifetime”
The paper relies on this without support.
Brine evolution is necessary for lithium-rich salars.
“Whilst brine evolution in itself is necessary for lithium-rich salars”
The authors state this as an assumption.
Inflow waters contain high enough concentrations of lithium for long periods of time.
“This is predicated on the basis that inflow waters contain high enough concentrations of lithium for long periods of time.”
The paper relies on this without support.
The past climate has been significantly wetter, particularly related to surface water input and groundwater recharge.
“it is known that the past climate has been significantly wetter, particularly related to both surface water input (e.g.lake levels in the Salar de Uyuni) and groundwater recharge (e.g.Salar de Atacama).”
The authors state this as an assumption.
Timescales required to accumulate lithium in any salar are such that clustering could be related to developmental path and age.
“Given the timescales required to accumulate lithium in any salar”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
While there are similarities between salars in the Lithium Triangle, there are also significant differences.
“While there are similarities between salars in the Lithium Triangle, there are also significant differences (Al-Jawad et al., 2024), as displayed in Table 1.”
From Life cycle assessment and water use impacts of lithium production from salar deposits: Challenges and opportunities (2024) · cites this paper as Al-Jawad et al., 2024
Salar variability means it is difficult to generalise one salar's behaviour from another, with Atacama existing as an end-member of complex and variable systems.
“Salar variability (Table 1) means it is difficult to generalise one salar's behaviour from another with Atacama existing as an end-member of complex and variable systems (Al-Jawad et al., 2024).”
From Life cycle assessment and water use impacts of lithium production from salar deposits: Challenges and opportunities (2024) · cites this paper as Al-Jawad et al., 2024
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Hombre Muerto land-cover area exceeds its basin area
MinorThe land-cover measure is defined as an area within each salar's watershed, but Table 2 lists 3974.44 km2 of land cover for Hombre Muerto's 3888.20 km2 basin.
“Bare land cover area within each salar's watershed manipulated based on land cover map”
“| Salar de Hombre | 732.72 | 3967.00 | 219.76 | 805.75 | 3888.20 | 167.00 | 3974.44 | 2040.44 | 628.00 |”
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Flagged first, then by citations
Research works printed but not linked: 1
- Petavratzi, 2022, The impacts of environmental, social and governance (ESG) issues in achieving sustainable lithium supply in the Lithium Triangle, Miner. Econ., 10.1007/s13563-022-00332-4 · DOI · Paper page
Cited by
Sorted by citations
Balaram, V., Santosh, M., Satyanarayanan, M., Srinivas, N., & Gupta, H. (2024) · Geoscience Frontiers · doi:10.1016/j.gsf.2024.101868 · Cited by 231 · see citing works
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Withdrawn: Potential Lithium Sedimentary Deposits of the Land and Deep OceansPreprint
Balaram, V., Armstrong-Altrin, J. S., Khan, R. M., & Rao, B. S. (2024) · Preprints.org · doi:10.20944/preprints202312.0073.v2
Detection and Characterization of Lithium in Porous Media Using Multifrequency Dielectric Technique
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- Authors
- Al-Jawad, J., Ford, J., Petavratzi, E., & Hughes, A.
- Affiliations
- British Geological Survey (GB)
- Corresponding author
- Al-Jawad, Jafar
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 906
- Pages
- 167647
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W4387580554
- Cited by
- 17
- References
- 54
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 8
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Science of The Total Environment (publishedVersion, cc-by)
- SSRN Electronic Journal (acceptedVersion)
- PubMed (publishedVersion)
- NERC Open Research Archive (Natural Environment Research Council) (acceptedVersion)
- Funders
- UK Research and Innovation
- Natural Environment Research Council (NE/V006932/1)
- U.S. Geological Survey
- British Geological Survey
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Extraction and Separation Processes
- Physical Sciences › Earth and Planetary Sciences › Geochemistry and Petrology › Geochemistry and Elemental Analysis
- Physical Sciences › Computer Science › Artificial Intelligence › Geochemistry and Geologic Mapping
- Keywords
- lithium, Salar, lithium-rich brines, spatial variability, lithium triangle, brine extraction, land cover, rock outcrops, watershed size, Salar de Atacama, lithium exploration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
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