ArticleEcology and evolution2019
Responses of four dominant dryland plant species to climate change in the Junggar Basin, northwest China.
Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- MaxEnt model-based prediction of potential suitable habitats of three Trichosanthes L. species in China under future climate change scenarios.Frontiers in plant science · 2026Article
- Proteomic analysis reveals distinct germination strategies in polymorphic fruits of Haloxylon ammodendron.Planta · 2025Article
- Ecological Niche Modeling of Three Fangfeng Species Under Present and Future Climate Scenarios.Ecology and evolution · 2025Article
- Unraveling the Effects of Climate Change and Human Activity on Potential Habitat Range Shifts in FourPlants (Basel, Switzerland) · 2025Article
- Appropriate mowing can promote the growth of Anabasis aphylla through the auxin metabolism pathway.BMC plant biology · 2024Article
- Assessing the suitability and dynamics of three medicinalFrontiers in plant science · 2023Article
- Predicting the suitable habitats of parasitic desert species based on a niche model withEcology and evolution · 2021Article
- Predicting shifts in distribution range and niche breadth of plant species in contrasting arid environments under climate change.Environmental monitoring and assessment · 2021Article
- Responses of four dominant dryland plant species to climate change in the Junggar Basin, northwest China.Ecology and evolution · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimDryland ecosystems are exceedingly sensitive to climate change. Desertification induced by both climate changes and human activities seriously threatens dryland vegetation. However, the impact of climate change on distribution of dryland plant species has not been well documented. Here, we studied the potential distribution of four representative dryland plant species ( LOCATION: Junggar Basin, a large desert region in northwestern China.
methodsOccurrence data of the studied species were collected from an extensive field investigation of 2,516 sampling sites in the Junggar Basin. Ensemble species distribution models using 10 algorithms were developed and used to predict the potential distribution of each studied species under current and future climate scenarios.
resultMAIN
conclusionsWe explored the responses of the representative dryland plant species to climate change in the Junggar Basin in northwestern China. The different changes in suitability of different species imply that policymakers may need to reconsider the selection and combination of the afforestation species used in this area. This study can provide valuable reference for the management and conservation of dryland ecosystems under future climate change scenarios.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.