Evidence map›Paper›PMID 35528361›Full record

ArticleComputational intelligence and neuroscience2022

Analysis of 22-year Drought Characteristics in Heilongjiang Province Based on Temperature Vegetation Drought Index.

Li Wu, Youzhi Zhang, Limin Wang, Wenhuan Xie, Lijuan Song, Haifeng Zhang, Hongwen Bi, Yanyan Zheng, Yu Zhang, Xiaofei Zhang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. 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
1.7field-weighted citation impact, top 17% of its field
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, 15 citations in OpenAlex.

  1. Endophytic Colonization ofInternational journal of molecular sciences · 2024
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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

12 authors at 2 institutions in 1 country.

Li WuInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.ORCID https://orcid.org/0000-0001-9048-3306
Youzhi ZhangInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Limin WangInstitute of Agricultural Regional Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Wenhuan XieInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Lijuan SongInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Haifeng ZhangInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Hongwen BiInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Yanyan ZhengInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Yu ZhangInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Xiaofei ZhangInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Yan LiInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Zhiqun LvInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Haerbin 150086, China.
Heilongjiang Provincial Academy of Agricultural Sciences · CNInstitute of Agricultural Resources and Regional Planning · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heilongjiang Province is the main grain producing region in China and an important part of Northeast China Plain, which is one of the three black soil belts in the world. The cultivated region of black soil accounts for 50.6% of the black soil region in Northeast China. Due to the obvious rise of temperature and uneven distribution of precipitation in the 20th century, it has been considered to be one of the important reasons for agricultural drought and aridity. Under the background of climate change, understanding the multiyear changes and occurrence characteristics of cultivated land drought in different agricultural regions in Heilongjiang Province is of great significance for the establishment of agricultural drought prediction and early warning system in the future, guiding agricultural high-standard farmland irrigation in different regions, promoting black soil protection, and then improving grain yield. This paper calculates the temperature vegetation drought index (TVDI) based on the normalized difference vegetation index (NDVI) and surface temperature (TS) product data of MODIS from 2000 to 2021. Taking TVDI as the drought evaluation index, this paper studies the temporal and spatial variation distribution characteristics and occurrence frequency of drought in the whole region and four agricultural regions of Heilongjiang Province: Daxing an Mountain and Xiaoxing an Mountain (region I), Sanjiang Plain (region II), Zhangguangcai Mountains (region III), and Songnen Plain (region IV). The results show that medium drought generally occurred in Heilongjiang Province from 2000 to 2021, accounting for about 70% of the total cultivated land. The drought was severe from 2000 to 2009 and weakened from 2010 to 2021. In the 110 months of the crop growing season from 2000 to 2021, about 63.84% of the region suffered more than 60 droughts. It is found that the frequency of drought varies from region to region. More than 80 droughts occurred in the west of region IV and the middle of region II. The characteristics of region IV are large sandstorm, less precipitation, and lack of water conservancy facilities, resulting in frequent and strong drought. It is also found that the occurrence frequency, degree grade and regional distribution of drought are closely related to seasonal changes. In spring, the occurrence grade and frequency of drought in region IV are the strongest and the drought phenomenon is serious. In autumn, drought is frequent and distributed in all regions, but the grade is not strong (mainly medium drought), and the drought phenomenon is medium. It is humid in summer. Crops in Heilongjiang Province are one crop per annual. Spring drought seriously restricts the water content of crops. Long-term drought will lead to poor crop development and reduce yield. Therefore, only by clarifying the characteristics of regional time drought, monitoring accurate drought events and accurately predicting the occurrence of drought, can we guide high-standard farmland precision irrigation, improve crop yield and ensure national food security. At the same time, severe drought will affect the terrestrial ecosystem, resulting in the distribution of crops and microorganisms, and the transformation between carbon sink and carbon source.

Indexed as

DroughtsEcosystemChinaSoilTemperatureWaterSoilWater

Identifiers

PMID35528361
PMCPMC9071970
OpenAlexW4225140378

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.