Cited by 14Amazonian Archaeology and EthnohistoryArchaeology and ancient environmental studiesArchaeological Research and Protection

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index; 1 of the 47 sources its claims cite were checked for support.

Potential distributions of pre-Columbian people in Tropical Andean landscapes

Open access
Sales, Rachel K., McMichael, Crystal N. H., Flantua, Suzette G. A., Hagemans, Kimberley, Zondervan, Jesse R., González-Arango, Catalina, Church, Warren B., Bush, Mark B.·2022·Philosophical Transactions of the Royal Society B: Biological Sciences

Abstract

Much has yet to be learned of the spatial patterning of pre-Columbian people across the Tropical Andes. Using compiled archaeological data and a suite of environmental variables, we generate an ensemble species distribution model (SDM) that incorporates general additive models, random forest models and Maxent models to reconstruct spatial patterns of pre-Columbian people that inhabited the Tropical Andes east of the continental divide, within the modern countries of Bolivia, Peru and Ecuador. Within this region, here referred to as the eastern Andean flank, elevation, mean annual cloud frequency, distance to rivers and precipitation of the driest quarter are the environmental variables most closely related to human occupancy. Our model indicates that 11.04% of our study area (65 368 km 2 ) was likely occupied by pre-Columbian people. Our model shows that 30 of 351 forest inventory plots, which are used to generate ecological understanding of Andean ecosystems, were likely occupied in the pre-Columbian period. In previously occupied sites, successional trajectories may still be shaping forest dynamics, and those forests may still be recovering from the ecological legacy of pre-Columbian impacts. Our ensemble SDM links palaeo- and neo-ecology and can also be used to guide both future archaeological and ecological studies. This article is part of the theme issue ‘Tropical forests in the deep human past’.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

An ensemble species distribution model using archaeological sites and environmental variables reconstructs likely pre-Columbian occupation across the eastern Andean flank of Bolivia, Peru and Ecuador. It finds occupation concentrated in seasonally dry, less cloud-immersed settings, especially near 2300–3500 m a.s.l., with implications for ecological legacies in modern forest plots.

Key findings

  • The ensemble SDM estimated that 11.04% of the study area was likely occupied by pre-Columbian people (table 2 reports 69,174 km²; the abstract states 65,368 km²).
  • Elevation and mean annual cloud frequency were the most important predictors, with permutation importance of 35.11% and 16.25%, respectively; distance to river and precipitation of the driest quarter also exceeded 10%. Likelihood of occupation increased with elevation until ca 4000 m a.s.l., with an optimum between 2300 and 3500 m a.s.l., and was lower where mean annual cloud frequency exceeded 90%.
  • Of 351 forest inventory plots, 30 (8.5%) were in settings the model considered ideal (2300–3500 m a.s.l., 80–88% cloud frequency); among plots only in that elevation band, 25% were likely occupied. Using the binary threshold, only one plot (PN Río Abiseo from CONDESAN) was highly likely to have been occupied.
  • Model performance was robust: all algorithms had AUC scores exceeding 0.75, the ensemble AUC was 0.798, and the ensemble correctly predicted 79.8% of sites; ensemble uncertainty never exceeded 0.23.

Methods

  • The study region was the eastern Andean flank between 700 and 6200 m a.s.l. in Bolivia, Peru and Ecuador. The authors compiled 21,199 pre-Columbian archaeological sites from published literature, the Radiocarbon Database for Central Andes and the Sistema de Información Geográfica de Arqueología database, then geographically filtered them at 1 km resolution to 1,965 occurrence points.
  • From 27 environmental variables, cross-correlation removed correlated variables (Pearson’s r > 0.75), leaving seven predictors at 1 km resolution: elevation, mean annual cloud frequency, precipitation of the driest quarter, slope, aspect, topographic position index and distance to river.
  • An ensemble SDM combined general additive models, random forest and Maxent, using 1,965 pseudo-absence points and five-fold cross-validation. Individual models with AUC > 0.65 were retained and weighted by AUC; probabilities were converted to binary predictions using a threshold that maximized sensitivity and specificity. Likelihoods were then extracted for 351 Andean forest plots.

Limitations

  • The paper states that the ensemble SDM does not contain a time parameter, so it cannot address how changing human cultural practices shaped forest dynamics through time, and it identifies favourable sites rather than continuous histories of use.
  • The paper states that archaeological databases reflect incomplete sampling, true absence data are lacking, and pseudo-absences were used; it also notes that current mean annual cloud frequency and precipitation data are the best available but Holocene changes in cloud base remain uncertain and within the ±1 km resolution of the environmental data.
  • Evident in the text: the abstract reports 65,368 km² for the 11.04% ensemble estimate, while table 2 reports 69,174 km² for the ensemble, indicating an internal inconsistency in the reported area.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1098/rstb.2020.0502

Cites

84 of 84 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

1 of 47 cited sources checked · 1 supported · 0 flagged

  • Findingown data
    § 5. Conclusion

    Environmental variables hold significant predictive power over the spatial distribution of pre-Columbian people in the Tropical Andean landscape.

    “We built an ensemble SDM showing that environmental variables hold significant predictive power over the spatial distribution of pre-Columbian people in the Tropical Andean landscape.”
    Quote in the paperSubstantial claim
  • Findingown data
    § 5. Conclusion

    People tended to avoid cloud-soaked environments.

    “and that people tended to avoid cloud-soaked environments.”
    Quote in the paperSubstantial claim
  • Findingown data
    § 4. Discussion

    Our ensemble SDM performed well.

    “Despite not having a time parameter, our ensemble SDM performed well (table 2)”
    Quote in the paperSubstantial claim
  • Findingown data
    § 4. Discussion

    Distance to river is another important variable in the ensemble model.

    “Distance to river is another important variable in the ensemble model (figure 2d).”
    Quote in the paperSubstantial claim
  • Findingown data
    § 4. Discussion

    Our model does not predict a uniform probability of legacy effects being evident in the eastern Andean flank.

    “Our model does not predict a uniform probability of legacy effects being evident in the eastern Andean flank”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. 15
  • It may state two separate claims as one. 18
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Premisecitation
    § 4. Discussion

    The idea of rivers as corridors for easy transportation and communication has been suggested in Amazonia and shown to be significant in predicting anthropogenic soils.

    “The idea of rivers as corridors for easy transportation and communication has been suggested in Amazonia [72] and shown to be significant in predicting anthropogenic soils [43].”
    Quote in the paperNot a substantial claim1 of 2 sources checked
    • cites [72] Denevan WM. 1996. A bluff model of riverine settlement in prehistoric Amazonia. Ann. Assoc. Am. Geogr. 86, 654-681. ( 10.1111/j.1467-8306.1996.tb01771.x) [DOI] [Google Scholar] source
    • cites [43] McMichael CH, Palace MW, Bush MB, Braswell B, Hagen S, Neves EG, Silman MR, Tamanaha EK, Czarnecki C. 2014. Predicting pre-Columbian anthropogenic soils in Amazonia. Proc. R. Soc. B 281, 20132475. ( 10.1098/rspb.2013.2475) [DOI] [PMC free article] [PubMed] [Google Scholar] source
  • Probably not a substantial claim. It may state two separate claims as one.

    Findingown data
    § 4. Discussion

    Other potential areas for study are in southern Peru and central Ecuador, with characteristics of 2300 and 3500 m a.s.l., where cloud immersion is between 80 and 88% of the year, but the sites exhibit strong dry seasons.

    “Other potential areas for study are in southern Peru and central Ecuador (figure 3c), with characteristics of 2300 and 3500 m a.s.l., where cloud immersion is between 80 and 88% of the year, but the sites exhibit strong dry seasons (figure 3a,b).”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingown data
    § 3. Results

    The ensemble model had an AUC of 0.798, and the five-fold cross-validation indicated that the ensemble model predicted 79.8% of the sites correctly.

    “The ensemble model had an AUC of 0.798, and the five-fold cross-validation indicated that the ensemble model predicted 79.8% of the sites correctly (table 2).”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingown data
    § 5. Conclusion

    Elevation, mean annual cloud frequency and distance to river are all highly related to pre-Columbian settlements.

    “Our model showed that elevation, mean annual cloud frequency and distance to river are all highly related to pre-Columbian settlements”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingown data
    § 3. Results

    Because all three of the individual SDMs were highly correlated with each other, the uncertainty of the ensemble model never exceeded 0.23, with the highest uncertainty of the ensemble model occurring in central Peru.

    “Because all three of the individual SDMs were highly correlated with each other (table 2), the uncertainty of the ensemble model never exceeded 0.23, with the highest uncertainty of the ensemble model occurring in central Peru (figure 2c).”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingown data
    § 3. Results

    All three algorithms (GAM, RF model, Maxent) used to model the potential distribution of past people in the study region generated robust models with AUC scores exceeding 0.75 and were included in the ensemble SDM.

    “All three algorithms (GAM, RF model, Maxent) used to model the potential distribution of past people in our study region generated robust models with AUC scores exceeding 0.75 (table 2) and were included in the ensemble SDM (figure 2a).”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4. Discussion

    Other forest plots likely had less pre-Columbian human influence or were used intermittently.

    “while other forest plots likely had less pre-Columbian human influence or were used intermittently.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4. Discussion

    Locations near the upper limit of the forest, which may have become drier during past decadal droughts, may have been more likely to be occupied than locations far from forest limits, which would likely have been too moist for human occupation even during decadal droughts.

    “Locations near the upper limit of the forest, which may have become drier during past decadal droughts, may have been more likely to be occupied than locations far from forest limits, which would likely have been too moist for human occupation even during decadal droughts.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Study design and conductnone given
    § 4. Discussion

    Our ensemble SDM does not contain a time parameter.

    “Our ensemble SDM does not contain a time parameter (see electronic supplementary material for more detail)”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given
    § 4. Discussion

    Our ensemble SDM does not address how changes in human cultural practices shaped forest dynamics through time.

    “Future studies should focus on determining how changes in human cultural practices shaped forest dynamics through time, which our ensemble SDM does not address.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationown data
    § 4. Discussion

    The model shows that mean annual cloud frequency influenced pre-Columbian human distributions, and so understanding changes in mean annual cloud frequency is critical.

    “Our model shows that mean annual cloud frequency influenced pre-Columbian human distributions, and so understanding changes in mean annual cloud frequency is critical (figure 2d).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § 4. Discussion

    The loss of a seed disperser is probably less likely to exert a profound influence than repeated burning of a non-fire-adapted system.

    “The loss of a seed disperser is probably less likely to exert a profound influence than repeated burning of a non-fire-adapted system [83].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [83] Gill JL, Williams JW, Jackson ST, Lininger KB, Robinson GS. 2009. Pleistocene megafaunal collapse, novel plant communities, and enhanced fire regimes in North America. Science 326, 1100-1103. ( 10.1126/science.1179504) [DOI] [PubMed] [Google Scholar] source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given
    § 4. Discussion

    Nowhere can be categorically predicted as 'not used'.

    “although nowhere can be categorically predicted as ‘not used’”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationown data
    § 4. Discussion

    People likely preferred settings that, although moist, had a pronounced reduction in precipitation during the dry season and were as cloud-free as possible.

    “People likely preferred settings that, although moist, had a pronounced reduction in precipitation during the dry season and were as cloud-free as possible (electronic supplementary material, figure S4; figure 3b,c).”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationcitation
    § 4. Discussion

    Areas between 2300 and 3500 m a.s.l. also probably offered benefits of lower disease and parasite probability than low and mid-elevations, higher light availability than mid-elevations and favourable conditions for growing crops such as quinoa, manioc, rice and potato compared with both lower and higher regions of the Tropical Andes.

    “Areas between 2300 and 3500 m a.s.l. also probably offered benefits of lower disease and parasite probability than low and mid-elevations, higher light availability than mid-elevations and favourable conditions for growing crops such as quinoa, manioc, rice and potato compared with both lower and higher regions of the Tropical Andes [14,64].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [14] Lombardo U, Iriarte J, Hilbert L, Ruiz-Pérez J, Capriles JM, Veit H. 2020. Early Holocene crop cultivation and landscape modification in Amazonia. Nature 581, 190-193. ( 10.1038/s41586-020-2162-7) [DOI] [PMC free article] [PubMed] [Google Scholar] source
    • cites [64] Pearsall DM. 2008. Plant domestication and the shift to agriculture in the Andes. In The handbook of South American archaeology (eds Silverman H, Isbell WH), pp. 105-120. New York, NY: Springer New York. [Google Scholar] source
  • Probably not a substantial claim.

    Study design and conductcitation
    § 2. Methods

    Individual SDMs were retained as an input for the ensemble model only if the AUC value exceeded 0.65.

    “Individual SDMs were retained as an input for the ensemble model only if the AUC value exceeded 0.65 [16].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [16] McMichael CNH, Bush MB. 2019. Spatiotemporal patterns of pre-Columbian people in Amazonia. Quat. Res. 92, 53-69. ( 10.1017/qua.2018.152) [DOI] [Google Scholar]
  • It may state two separate claims as one.

    Premisecitation
    § 4. Discussion

    There have been changes in moisture during the Holocene, which would have impacted the position of the low-lying cloud in Andean humid montane forests.

    “There have been changes in moisture, however, during the Holocene, which would have impacted the position of the low-lying cloud in Andean humid montane forests [67,68].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [67] Thompson LG, Mosley-Thompson E, Davis ME, Lin P-N, Henderson KA, Cole-Dai J, Bolsan JF, Liu KG. 1995. Late glacial stage and Holocene tropical ice core records from Huascaran, Peru. Science 269, 46-50. ( 10.1126/science.269.5220.46) [DOI] [PubMed] [Google Scholar] source
    • cites [68] van Breukelen MR, Vonhof HB, Hellstrom JC, Wester WCG, Kroon D. 2008. Fossil dripwater in stalagmites reveals Holocene temperature and rainfall variation in Amazonia. Earth Planet. Sci. Lett. 275, 54-60. ( 10.1016/j.epsl.2008.07.060) [DOI] [Google Scholar] source
  • Probably not a substantial claim. It may state two separate claims as one.

    Study design and conductnone given
    § 2. Methods

    Each individual SDM was run five times, and the AUC value was used to weight the individual algorithms within the ensemble distribution model.

    “Each individual SDM was run five times, and the AUC value was used to weight the individual algorithms within the ensemble distribution model.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 1. Introduction

    Species distribution models (SDMs) are used to predict the distributions of species across regions when sampling is incomplete in ecological and biogeographical studies.

    “Species distribution models (SDMs) are used to predict the distributions of species across regions when sampling is incomplete in ecological and biogeographical studies [41,42]”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [41] Elith J, Leathwick JR. 2009. Species distribution models: ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 40, 677-697. ( 10.1146/annurev.ecolsys.110308.120159) [DOI] [Google Scholar] source
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  • It may state two separate claims as one.

    Interpretationcitation
    § 4. Discussion

    Even slightly seasonally drier areas would increase the amount and variety of crops, as supported by the domestication of roots and tubers, which occurred in seasonally dry areas of the Andes.

    “Even slightly seasonally drier areas would increase the amount and variety of crops, as supported by the domestication of roots and tubers, which occurred in seasonally dry areas of the Andes [64].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [64] Pearsall DM. 2008. Plant domestication and the shift to agriculture in the Andes. In The handbook of South American archaeology (eds Silverman H, Isbell WH), pp. 105-120. New York, NY: Springer New York. [Google Scholar] source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given
    § 2. Methods

    The SDMs were run five times using five-fold cross-validation techniques for each algorithm.

    “The SDMs were run five times using five-fold cross-validation techniques for each algorithm.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationcitation
    § 4. Discussion

    The rivers themselves are probably less important than their valleys and adjacent ridges, which formed important trade routes.

    “The rivers themselves are probably less important than their valleys and adjacent ridges, which formed important trade routes [70,71].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [70] Rademaker K, Reid DA, Bromley GR. 2012. Connecting the dots: least cost analysis, paleogeography, and the search for Paleoindian sites in southern highland Peru. In Least cost analysis of social landscapes: archaeological case studies (eds DA White, SL Surface-Evan), pp. 32-45. Salt Lake City, UT: University of Utah Press. [Google Scholar]
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  • Probably not a substantial claim.

    Study design and conductcitation
    § 2. Methods

    The performance of each model was assessed using area under the receiver operating characteristic curve (AUC) scores.

    “We assessed the performance of each model using area under the receiver operating characteristic curve (AUC) scores [48,58].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [48] Wisz MS, Hijmans R, Li J, Peterson AT, Graham C, Guisan A, Group NPSDW. 2008. Effects of sample size on the performance of species distribution models. Divers. Distrib. 14, 763-773. ( 10.1111/j.1472-4642.2008.00482.x) [DOI] [Google Scholar] source
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  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Interpretationcitation
    § 4. Discussion

    Occupancy of these valleys may also have benefitted from fertile alluvial soils deposited by the rivers.

    “Occupancy of these valleys may also have benefitted from fertile alluvial soils deposited by the rivers [73].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [73] Goodman-Elgar M. 2008. Evaluating soil resilience in long-term cultivation: a study of pre-Columbian terraces from the Paca Valley, Peru. J. Archaeol. Sci. 35, 3072-3086. ( 10.1016/j.jas.2008.06.003) [DOI] [Google Scholar] source
  • It may state two separate claims as one.

    Interpretationown data
    § 4. Discussion

    The model highlights the spatial heterogeneity of the potential distribution of pre-Columbian people in the eastern flank of the Tropical Andes and the environmental characteristics most responsible for shaping those patterns.

    “Our model highlights the spatial heterogeneity of the potential distribution of pre-Columbian people in the eastern flank of the Tropical Andes (figure 2a) and the environmental characteristics most responsible for shaping those patterns (figure 3a,b).”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4. Discussion

    Neither lake shows an absence of cloud, and the shifts in the cloud base are within the margin of error of the environmental data (i.e. ±1 km, or the resolution of the environmental variables).

    “Neither lake shows an absence of cloud though, and the shifts in the cloud base are within the margin of error of our environmental data (i.e. ±1 km, or the resolution of our environmental variables).”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationcitation
    § 1. Introduction

    Despite harsh environments, the humid montane forests were important pre-Columbian cultural crossroads, and it is therefore likely that areas within the major valleys connecting the lowlands and highlands may have been occupational centres for millennia.

    “Despite these harsh environments, the humid montane forests were important pre-Columbian cultural crossroads, and it is therefore likely that areas within the major valleys connecting the lowlands and highlands may have been occupational centres for millennia [21,35].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [21] Lathrap DW. 1970. The upper Amazon. New York, NY: Praeger Publishers. [Google Scholar]
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  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductcitation
    § 2. Methods

    Probabilities were converted to binary predictions using a threshold value that maximized sensitivity and specificity.

    “Probabilities were converted to binary predictions using a threshold value that maximized sensitivity (true positive rates) and specificity (true negative rates, [59]).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [59] Liu C, Berry PM, Dawson TP, Pearson RG. 2005. Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28, 385-393. ( 10.1111/j.0906-7590.2005.03957.x) [DOI] [Google Scholar] source
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § 4. Discussion

    Fossil pollen data from Lake Condores suggest an upslope shift in the cloud base at ca 850 cal yr BP.

    “Fossil pollen data from Lake Condores suggest an upslope shift in the cloud base at ca 850 cal yr BP [40].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [40] Åkesson CM, Matthews-Bird F, Bitting M, Fennell C-J, Church WB, Peterson LC, Valencia BG, Bush MB. 2020. 2,100 years of human adaptation to climate change in the High Andes. Nat. Ecol. Evol. 4, 66-74. ( 10.1038/s41559-019-1056-2) [DOI] [PubMed] [Google Scholar] source
  • Probably not a substantial claim.

    Premisecitation
    § 1. Introduction

    The SDM approach has also been used to predict the distributions of past people across landscapes.

    “and the approach has also been used to predict the distributions of past people across landscapes [16,43,44].”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [16] McMichael CNH, Bush MB. 2019. Spatiotemporal patterns of pre-Columbian people in Amazonia. Quat. Res. 92, 53-69. ( 10.1017/qua.2018.152) [DOI] [Google Scholar]
    • cites [43] McMichael CH, Palace MW, Bush MB, Braswell B, Hagen S, Neves EG, Silman MR, Tamanaha EK, Czarnecki C. 2014. Predicting pre-Columbian anthropogenic soils in Amazonia. Proc. R. Soc. B 281, 20132475. ( 10.1098/rspb.2013.2475) [DOI] [PMC free article] [PubMed] [Google Scholar] source
    • cites [44] McMichael CH, Palace MW, Golightly M. 2014. Bamboo-dominated forests and pre-Columbian earthwork formations in south-western Amazonia. J. Biogeogr. 41, 1733-1745. ( 10.1111/jbi.12325) [DOI] [Google Scholar] source
30 of 30
  • The paper relies on this without support.

    Archaeological databases reflect incomplete sampling.

    “Archaeological databases, however, reflect incomplete sampling, and the distribution and impact of pre-Columbian people on humid montane forests is probably much larger than currently documented.”
  • The paper relies on this without support.

    Sufficient true absence data are lacking because archaeologists rarely report when a location did not yield an archaeological finding.

    “Sufficient true absence data, or sampled locations where archaeological sites were not found, are lacking because archaeologists rarely report when a location did not yield an archaeological finding.”
  • The paper relies on this without support.

    Coordinate error associated with the archaeological sites is within 1 km.

    “Additionally, any error associated with the coordinates of the archaeological sites should be within 1 km.”
  • The paper relies on this without support.

    Current mean annual cloud frequency and precipitation data are the best modelled and highest-resolution estimates available for detecting the presence of the Andean low-lying cloud.

    “Although changes in mean annual cloud frequency are undoubtably important for pre-Columbian human occupation [40,69], current mean annual cloud frequency and precipitation data are the best modelled and highest-resolution estimates we have for detecting the presence of the Andean low-lying cloud.”
  • The paper relies on this without support.

    The intensity, duration and recentness of disturbances influence residual effects on modern forests.

    “In terms of the strength of legacy effects on modern forests, the intensity, duration and recentness of disturbances will influence residual effects.”
5 of 5

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?

  • Impacts of past activities on modern forest structures near ancient settlements are long-lasting and may influence current estimates of tropical forest composition.

    “These studies show that the impacts of past activities on modern forest structures near the location of ancient settlements are long-lasting, to the extent that they may influence our current estimates of forest composition in tropical forests, such as the Amazon7,8, the eastern flank of the tropical Andes6, and the neotropical forests of Central America9–11.”
  • Archaeological research documents frequent occupation of montane environments in tropical Andean regions, including Colombia.

    “Archaeological research documents frequent occupation of montane environments in tropical Andean regions6, including Colombia12,13.”
  • There is no uncertainty that montane regions were occupied; archaeological evidence demonstrates sustained pre-Columbian presence.

    “There is no uncertainty about whether montane regions were occupied—archaeological evidence clearly demonstrates sustained pre-Columbian presence6,12,13—but rather we need to measure how localised human activities may have shaped forest composition and structure across spatially continuous landscapes.”
  • Short-term successional dynamics following forest disturbance are relatively well understood for lowland Amazonia, but such processes in neotropical montane environments remain less studied.

    “Although short-term successional dynamics following forest disturbance are relatively well understood for lowland Amazonia44—for instance, the dominance of early successional species depending on disturbance scale—such processes in neotropical montane environments remain less studied6,41.”

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.

  • Abstract reports the wrong area for the ensemble prediction

    Minor

    The abstract pairs 11.04% with 65 368 km2, but Table 2 assigns 11.04% to an ensemble area of 69 174 km2. The 65 368 km2 figure belongs to the GAM prediction, reported as 10.43%.

1 of 1

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Jørgensen PM et al. 2011 Regional patterns of vascular plant diversity and endemism pp. 192-203. Montevideo Uruguay: Inter-American Institute for Global Change Research (IAI); Amsterdam The Netherlands: Scientific Committee on Problems of the Environment (SCOPE).
  2. Lathrap DW. 1970 The upper Amazon. New York, NY: Praeger Publishers.

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Metadata

Authors
Sales, R. K., McMichael, C. N. H., Flantua, S. G. A., Hagemans, K., Zondervan, J. R., González-Arango, C., Church, W. B., & Bush, M. B.
Affiliations
  • Institute for Global Ecology, Florida Institute of Technology, Melbourne, FL 32901, USA
  • Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1098 XH Amsterdam, The Netherlands
  • Department of Physical Geography, Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands
  • School of Geography, Earth, and Environmental Sciences, University of Plymouth, Plymouth PL4 8AA, UK
  • Department of Biological Sciences, University of Los Andes, Cra. 1 18a 12, Bogota, Colombia
  • Department of Earth and Space Sciences, Columbus State University, Columbus, GA 31907, USA
Venue
Philosophical Transactions of the Royal Society B: Biological Sciences
Published
2022-03-07
Volume
377
Issue
1849
Pages
20200502-20200502
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W4221024463
Cited by
14
References
83
Citations by year
2026: 2 · 2025: 4 · 2024: 2 · 2023: 2 · 2022: 4
FWCI
36.07
Type
journal article
Language
en
Open access
Locations
  • Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Bristol Research (University of Bristol) (publishedVersion)
  • UvA-DARE (University of Amsterdam) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
  • National Science Foundation (1624207)
  • National Aeronautics and Space Administration (NNX14AD31G)
  • European Research Council (741413, 853394)
  • Neatherlands Organisation for Scientific Research (13248/ALW, 824.14.018/ALW)
Topics
  • Social Sciences › Arts and Humanities › History › Amazonian Archaeology and Ethnohistory
  • Social Sciences › Archeology › Archaeology and ancient environmental studies
  • Social Sciences › Archeology › Archaeological Research and Protection
Keywords
species distribution modeling, tropical Andes, human occupancy, cloud forest, forest inventory plots, ecological legacies, forest succession, paleoecology, environmental variables, altitude, cloud frequency, precipitation of driest quarter, archaeological site
MeSH terms
Archaeology, Bolivia, Humans, Peru, Ecosystem

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.

A language model drew the claims from the paper on 2026-11-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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