Evidence map›Paper›PMID 39814912›Full record

ArticleNature ecology & evolution2025

Asymmetric sensitivity of boreal forest resilience to forest gain and loss.

Xiaoye Liu, Dashan Wang, Anping Chen, Zhenzhong Zeng

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 2025. 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. Article
  3. 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

4 authors.

Xiaoye LiuSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Dashan WangSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China. wangds6@sustech.edu.cn.ORCID http://orcid.org/0000-0001-9743-4806
Anping ChenDepartment of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA.ORCID http://orcid.org/0000-0003-2085-3863
Zhenzhong ZengSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China. zengzz@sustech.edu.cn.ORCID http://orcid.org/0000-0001-6851-2756

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42371026
6 · The paper itself

Abstract

Forest gains and losses may have unequal effects on forest resilience, particularly given their distinct temporal dynamics. Here, we quantify the sensitivities of boreal forest resilience to forest cover gain and loss using a resilience indicator derived from the temporal autocorrelation (TAC) of the kernel normalized difference vegetation index from 2000 to 2020. Our findings unveil pronounced asymmetric sensitivities, with stronger sensitivity to forest loss (-4.26 ± 0.14 × 10

Indexed as

Conservation of Natural ResourcesForestsTreesForestryTaiga

Identifiers

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.