Evidence map›Paper›PMID 37611114›Full record

ArticleScience advances2023

Sharp decline in future productivity of tropical reforestation above 29°C mean annual temperature.

Anja Nölte, Rasoul Yousefpour, Miguel Cifuentes-Jara, Marc Hanewinkel

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Long-term climate warming weakens positive plant biomass responses globally.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Biocultural diversity and crop improvement.Emerging topics in life sciences · 2023
    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

4 authors.

Anja NölteUniversity of Freiburg, Tennenbacherstr. 4, Freiburg 79106, Germany.ORCID 0000-0003-1355-3942
Rasoul YousefpourUniversity of Freiburg, Tennenbacherstr. 4, Freiburg 79106, Germany.ORCID 0000-0003-3604-8279
Miguel Cifuentes-JaraConservation International, 2011 Crystal Dr., Ste 600, Arlington, VA 22202, USA.ORCID 0000-0002-6560-947X
Marc HanewinkelUniversity of Freiburg, Tennenbacherstr. 4, Freiburg 79106, Germany.ORCID 0000-0003-4081-6621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical reforestation is among the most powerful tools for carbon sequestration. Yet, climate change impacts on productivity are often not accounted for when estimating its mitigation potential. Using the process-based forest growth model 3-PGmix, we analyzed future productivity of tropical reforestation in Central America. Around 29°C mean annual temperature, productivity sharply and consistently declined (-11% per 1°C of warming) across all tropical lowland climate zones and five tree species spanning a wide range of ecological characteristics. Under a high-emission scenario (SSP3-7.0), productivity of dry tropical reforestation nearly halved and tropical moist and rain forest sites showed moderate losses around 10% by the end of the century. Under SSP2-4.5, tropical moist and rain forest sites were resilient and tropical dry forest sites showed moderate losses (-17%). Increased vapor pressure deficit, caused by increasing temperatures, was the main driver of growth decline. Thus, to continue following high-emission pathways could reduce the effectiveness of reforestation as climate action tool.

Indexed as

Carbon SequestrationClimate ChangeForestsGasesTemperatureGases

Identifiers

PMID37611114
PMCPMC10446480

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.