Evidence map›Paper›PMID 35249384›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2022

Potential distributions of pre-Columbian people in Tropical Andean landscapes.

Rachel K Sales, Crystal N H McMichael, Suzette G A Flantua, Kimberley Hagemans, Jesse R Zondervan, Catalina González-Arango, Warren B Church, Mark B Bush

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Tropical forests in the deep human past.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  3. A palaeoecological perspective on the transformation of the tropical Andes by early human activity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rachel K SalesInstitute for Global Ecology, Florida Institute of Technology, Melbourne, FL 32901, USA.ORCID 0000-0001-6625-7261
Crystal N H McMichaelInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1098 XH Amsterdam, The Netherlands.ORCID 0000-0002-1064-1499
Suzette G A FlantuaInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1098 XH Amsterdam, The Netherlands.ORCID 0000-0001-6526-3037
Kimberley HagemansDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands.ORCID 0000-0003-4480-9939
Jesse R ZondervanSchool of Geography, Earth, and Environmental Sciences, University of Plymouth, Plymouth PL4 8AA, UK.ORCID 0000-0002-7862-3879
Catalina González-ArangoDepartment of Biological Sciences, University of Los Andes, Cra. 1 18a 12, Bogota, Colombia.ORCID 0000-0003-1709-4405
Warren B ChurchDepartment of Earth and Space Sciences, Columbus State University, Columbus, GA 31907, USA.ORCID 0000-0001-8003-4195
Mark B BushInstitute for Global Ecology, Florida Institute of Technology, Melbourne, FL 32901, USA.ORCID 0000-0001-6894-8613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

ArchaeologyEcosystemBoliviaHumansPeruAndesarchaeologyecological legacieshuman occupationpalaeoecologyspecies distribution model

Identifiers

PMID35249384
PMCPMC8899625

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.