Evidence map›Paper›PMID 28965264›Full record

ArticleEnvironmental monitoring and assessment2017

Land surface phenology of Northeast China during 2000-2015: temporal changes and relationships with climate changes.

Yue Zhang, Lin Li, Hongbin Wang, Yao Zhang, Naijia Wang, Junpeng Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Discrepancy in Phenological Indicators from COPlants (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Article
  4. 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

6 authors.

Yue ZhangCollege of Resources and Environment, Jilin Agricultural University, Changchun, 130118, China.
Lin LiDepartment of Earth Sciences, Indiana University-Purdue University, Indianapolis, IN, 46202, USA.
Hongbin WangCollege of Resources and Environment, Jilin Agricultural University, Changchun, 130118, China. asionwang@163.com.
Yao ZhangCRRC Changchun Railway Vehicles Company Limited, Changchun, 130062, China.
Naijia WangCollege of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, 200433, China.
Junpeng ChenCollege of Resources and Environment, Jilin Agricultural University, Changchun, 130118, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an important crop growing area, Northeast China (NEC) plays a vital role in China's food security, which has been severely affected by climate change in recent years. Vegetation phenology in this region is sensitive to climate change, and currently, the relationship between the phenology of NEC and climate change remains unclear. In this study, we used a satellite-derived normalized difference vegetation index (NDVI) to obtain the temporal patterns of the land surface phenology in NEC from 2000 to 2015 and validated the results using ground phenology observations. We then explored the relationships among land surface phenology, temperature, precipitation, and sunshine hours for relevant periods. Our results showed that the NEC experienced great phenological changes in terms of spatial heterogeneity during 2000-2015. The spatial patterns of land surface phenology mainly changed with altitude and land cover type. In most regions of NEC, the start date of land surface phenology had advanced by approximately 1.0 days year

Indexed as

Climate ChangeEnvironmental MonitoringAltitudeChinaClimatePlant DevelopmentSeasonsSunlightTemperatureClimate changesLand surface phenologyNDVINortheast ChinaRemote sensing

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.