Evidence map›Paper›PMID 34580208›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Anthropogenic transitions from forested to human-dominated landscapes in southern Macaronesia.

Alvaro Castilla-Beltrán, Lea de Nascimento, José-María Fernández-Palacios, Robert J Whittaker, Kathy J Willis, Mary Edwards, Sandra Nogué

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The chronology of the human colonization of the Canary Islands.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Tropical forests as key sites of the "Anthropocene": Past and present perspectives.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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

7 authors.

Alvaro Castilla-BeltránIsland Ecology and Biogeography Group, Instituto Universitario de Enfermedades Tropicales y Salud Pública de Canarias, University of La Laguna, 38200 San Cristóbal de La Laguna, Spain; acastilla@fg.ull.es s.nogue-bosch@soton.ac.uk leadenas@ull.edu.es.ORCID 0000-0002-0540-9062
Lea de NascimentoIsland Ecology and Biogeography Group, Instituto Universitario de Enfermedades Tropicales y Salud Pública de Canarias, University of La Laguna, 38200 San Cristóbal de La Laguna, Spain; acastilla@fg.ull.es s.nogue-bosch@soton.ac.uk leadenas@ull.edu.es.ORCID 0000-0003-1085-2605
José-María Fernández-PalaciosIsland Ecology and Biogeography Group, Instituto Universitario de Enfermedades Tropicales y Salud Pública de Canarias, University of La Laguna, 38200 San Cristóbal de La Laguna, Spain.
Robert J WhittakerSchool of Geography and the Environment, University of Oxford, Oxford OX1 3QY, United Kingdom.ORCID 0000-0001-7775-3383
Kathy J WillisOxford Long-Term Ecology Laboratory, Department of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom.
Mary EdwardsSchool of Geography and Environmental Science, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom.ORCID 0000-0002-3490-6682
Sandra NoguéSchool of Geography and Environmental Science, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom; acastilla@fg.ull.es s.nogue-bosch@soton.ac.uk leadenas@ull.edu.es.ORCID 0000-0003-0093-4252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extinction of iconic species such as the dodo and the deforestation of Easter Island are emblematic of the transformative impact of human colonization of many oceanic islands, especially those in the tropics and subtropics. Yet, the interaction of prehistoric and colonial-era colonists with the forests and forest resources they encountered can be complex, varies between islands, and remains poorly understood. Long-term ecological records (e.g., fossil pollen) provide the means to understand these human impacts in relation to natural change and variability pre- and postcolonization. Here we analyze paleoecological archives in forested landscapes of the Canary Islands and Cabo Verde, first colonized approximately 2,400 to 2,000 and 490 y ago, respectively. We demonstrate sensitivity to regional climate change prior to human colonization, followed by divergent but gradual impacts of early human settlement. These contrast with more rapid transformation in the colonial era, associated with significant increases in anthropogenic pressures. In the Canary Islands, at least two native tree taxa became extinct and lowland thermophilous woodlands were largely converted to agricultural land, yet relictual subtropical laurel forests persisted with limited incursion of nonnative species. In Cabo Verde, in contrast, thermophilous woodlands were depleted and substituted by open landscapes and introduced woodlands. Differences between these two archipelagos reflect the changing cultural practices and societal interactions with forests and illustrate the importance of long-term data series in understanding the human footprint on island ecosystems, information that will be critically important for current and future forest restoration and conservation management practices in these two biodiversity hotspots.

Indexed as

Anthropogenic EffectsForestsClimate ChangePaleontologyPolynesiaSpainanthropogenic impactsislandsMacaronesiasubtropical forests

Identifiers

PMID34580208
PMCPMC8501805

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.