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Monitoring the temporal-spatial changes of vegetation cover and drivers in Tian Shan ecoregions, China Cover

Monitoring the temporal-spatial changes of vegetation cover and drivers in Tian Shan ecoregions, China

Open Access
|Sep 2024

Figures & Tables

Figure 1.

Geographical location of the Tian Shan ecoregions by calculating the area of each three ecoregions in square kilometers and a percentage composed of the whole Xinjiang province
Geographical location of the Tian Shan ecoregions by calculating the area of each three ecoregions in square kilometers and a percentage composed of the whole Xinjiang province

Figure 2.

Geographical topography (A), elevation (B), situation (C), and area (D) of Tian Shan ecoregions during the statistical period of 2000–2022
Geographical topography (A), elevation (B), situation (C), and area (D) of Tian Shan ecoregions during the statistical period of 2000–2022

Figure 3.

Trend of vegetation indices of Tian Shan ecoregions during the statistical period 2000–2022
Trend of vegetation indices of Tian Shan ecoregions during the statistical period 2000–2022

Figure 4.

Temporal trend of mean NDVI (A), NDVI slop and anomaly (B), mean EVI (C), and EVI slop and anomaly (D) in Tian Shan ecoregions during the period of 2000–2022
Temporal trend of mean NDVI (A), NDVI slop and anomaly (B), mean EVI (C), and EVI slop and anomaly (D) in Tian Shan ecoregions during the period of 2000–2022

Figure 5.

Changes in the total precipitation slop/anomaly(A), changes in the total precipitation mean (B), and changes in the average precipitation of the Tian Shan ecological zone during the statistical period 2000–2022 (column numbers are in centimeters) (C)
Changes in the total precipitation slop/anomaly(A), changes in the total precipitation mean (B), and changes in the average precipitation of the Tian Shan ecological zone during the statistical period 2000–2022 (column numbers are in centimeters) (C)

Figure 6.

Changes in the snow-equivalent water mean (A), changes in the snow-equivalent water slop/anomaly (B), and average snowmelt changes in the Tian Shan ecological zone during the statistical period 2000–2022 (C)
Changes in the snow-equivalent water mean (A), changes in the snow-equivalent water slop/anomaly (B), and average snowmelt changes in the Tian Shan ecological zone during the statistical period 2000–2022 (C)

Figure 7.

Changes in the soil moisture at 10 cm slop/anomaly (A), changes in the soil moisture at 10 cm mean (B), and changes in the average soil moisture content of Tian Shan area during the statistical period 2000–2022(C)
Changes in the soil moisture at 10 cm slop/anomaly (A), changes in the soil moisture at 10 cm mean (B), and changes in the average soil moisture content of Tian Shan area during the statistical period 2000–2022(C)

Figure 8.

Changes in the LST daily time mean (A), changes in the LST daily time slop/anomaly (B), and changes in the average land surface temperature of the Tian Shan ecological zone during the statistical period 2000–2022 (C)
Changes in the LST daily time mean (A), changes in the LST daily time slop/anomaly (B), and changes in the average land surface temperature of the Tian Shan ecological zone during the statistical period 2000–2022 (C)

Figure 9.

Changes in the air temperature at 2 m mean (A), changes in the air temperature at 2 m slop/anomaly (B), and changes in the average air temperature of the Tian Shan ecological zone during the statistical period 2000–2022 (C)
Changes in the air temperature at 2 m mean (A), changes in the air temperature at 2 m slop/anomaly (B), and changes in the average air temperature of the Tian Shan ecological zone during the statistical period 2000–2022 (C)

Figure 10.

Changes in the actual evapotranspiration mean (A), changes in the actual evapotranspiration slop/anomaly (B), and changes in the mean actual evapotranspiration of Tian Shan ecoregion area during the statistical period 2000–2022 (C)
Changes in the actual evapotranspiration mean (A), changes in the actual evapotranspiration slop/anomaly (B), and changes in the mean actual evapotranspiration of Tian Shan ecoregion area during the statistical period 2000–2022 (C)

Figure 11.

Changes in the wind speed mean (A), changes in the wind speed slop/anomaly (B), and changes in the average wind speed of the Tian Shan ecoregions during the statistical period of 2000–2022 (C)
Changes in the wind speed mean (A), changes in the wind speed slop/anomaly (B), and changes in the average wind speed of the Tian Shan ecoregions during the statistical period of 2000–2022 (C)

Figure 12.

Changes in the downward shortwave radiation mean (A), changes in the downward shortwave radiation slop/anomaly (B), and changes in the average shortwave radiation of Tian Shan ecoregions during the statistical period of 2000–2022 (C)
Changes in the downward shortwave radiation mean (A), changes in the downward shortwave radiation slop/anomaly (B), and changes in the average shortwave radiation of Tian Shan ecoregions during the statistical period of 2000–2022 (C)

Figure 13.

Chart of human parameter changes during the statistical period
Chart of human parameter changes during the statistical period

Figure 14.

Effects of DMSP during different statistical periods from 2000 to 2019
Effects of DMSP during different statistical periods from 2000 to 2019

Figure 15.

Three-dimensional diagram of the effects of climatic, environmental, and human parameters on the coverage of the Tian Shan ecological area
Three-dimensional diagram of the effects of climatic, environmental, and human parameters on the coverage of the Tian Shan ecological area

Figure 16.

Normal distribution charts and residuals plots of NDVI and EVI in Tian Shan ecoregions
Normal distribution charts and residuals plots of NDVI and EVI in Tian Shan ecoregions

Figure 17.

Correlation between climate and environmental variables with NDV
Correlation between climate and environmental variables with NDV

Figure 18.

Correlation between climate and environmental variables with EVI
Correlation between climate and environmental variables with EVI

Figure 19.

Anomaly and changes in vegetation area during the period 2000–2022
Anomaly and changes in vegetation area during the period 2000–2022

Figure 20.

Visual pattern and classifications of LULC in 2001 in Tian Shan ecoregions
Visual pattern and classifications of LULC in 2001 in Tian Shan ecoregions

Figure 21.

Visual pattern and classifications of LULC in 2021 in Tian Shan ecoregions
Visual pattern and classifications of LULC in 2021 in Tian Shan ecoregions

Correlation matrix of climate parameters and environment and human drivers with vegetation indicators in Tian Shan ecoregions

ParametersNDVIEVILSTTotal precipitationSoil moistureActual evapotranspirationDSRAir temperature at 2 mPDSIRun offSnow water equivalentWind speed
NDVI1.0000
EVI0.99161
LST0.19060.2201.000
Total precipitation0.04450.044−0.3101
Soil moisture−0.5839−0.570−0.5400.64171.0000
Actual evapotranspiration0.22640.224−0.2600.94320.53361.0000
DSR−0.2708−0.2500.131−0.5924−0.2929−0.61131
Air temperature at 2 m0.03560.0330.0780.34860.26160.4683−0.061
PDSI−0.0959−0.120−0.4900.77630.73360.7659−0.580.25331.000
Run off0.0028−0.010−0.3200.92940.70700.8968−0.580.39690.8491.0000
Snow water equivalent0.28330.244−0.0900.41350.18600.4148−0.37−0.05060.4680.44711.0000
Wind speed−0.3068−0.320−0.0400.11840.37890.0295−0.25−0.01020.2070.24730.17361.0000

Correlation value and effect size

Correlation value (r)Level
−1.0Perfectly negative
−0.8Strongly negative
−0.5Moderately negative
−0.2Weakly negative
0.0No association
0.2Weakly positive
0.5Moderately negative
0.8Strongly positive
1.0Perfectly positive

17 ecoregions of Xinjiang province_ The area of all three Tian Shan ecoregions is well calculated_

EcoregionsArea, km2Percent
Alashan Plateau semi-desert6716.498
Altai alpine meadow and tundra90,4342.212
Altai montane forest and forest steppe142,8753.495
Altai steppe and semi-desert83,1922.035
Central Tibetan Plateau alpine steppe629,19015.393
Emin Valley steppe65,1351.594
Junggar Basin semi-desert304,9387.460
Karakoram-West Tibetan Plateau alpine steppe143,2653.505
North Tibetan Plateau-Kunlun Mountains alpine desert374,4949.162
Pamir alpine desert and tundra118,0722.889
Qaidam Basin semi-desert192,1474.701
Rock and Ice34,8300.852
Taklimakan desert742,65718.169
Tarim Basin deciduous forests and steppe54,5331.334
Tian Shan foothill arid steppe129,2313.162
Tian Shan montane conifer forests27,5680.674
Tian Shan montane steppe and meadows280,6116.865

Correlation matrix of human parameters and vegetation cover index of Tian Shan ecoregions

ParametersEVINDVIDMSPCNLI
EVI1
NDVI0.99401
DMSP0.72590.73881
CNLI0.73490.74800.99951

Pearson correlation between vegetation indices

ParameterValue
Pearson correlation coefficient (r)0.991
P-value0.000
Covariance0.000
Sample size (n)23.000
Statistic35.122

Area and percentage and classifications of LULC

ValueDescription (LULC 2001)Year 2001Year 2021
area (km2)percentarea (km2)percent
0Water bodies: at least 60% of area is covered by permanent water bodies554.990.25563.780.250
1Evergreen Needleleaf Forests: dominated by evergreen conifer trees (canopy >2m). Tree cover >60%.41.510.0121.050.009
5Mixed Forests: dominated by neither deciduous nor evergreen (40–60% of each) tree type (canopy >2m). Tree cover >60%248.600.11173.450.070
9Savannas: tree cover 10–30% (canopy >2m)334.550.15102.250.040
10Grasslands: dominated by herbaceous annuals (<2 m)142,376.5965.28506.150.230
11Permanent wetlands: permanently inundated lands with 30–60% water cover and >10% vegetated cover344.950.15145,028.7966.540
12Croplands: at least 60% of area is cultivated cropland16,810.667.7083.620.030
13Urban and built-up lands: at least 30% impervious surface area including building materials, asphalt, and vehicles92.250.0417,376.657.970
14Cropland/natural vegetation mosaics: mosaics of small-scale cultivation 40–60% with natural tree, shrub, or herbaceous vegetation40.740.0161.500.020
15Non-vegetated lands: at least 60% of area is non-vegetated barren (sand, rock, soil) or permanent snow and ice with less than 10% vegetation1,754.220.80156.220.070
16Barren: at least 60% of area is non-vegetated barren (sand, rock, soil) areas with less than 10% vegetation55,469.5325.432,368.311.080

Relationship between climate and environmental variables with NDVI using Pearson regression model

ParametersP-valuerCovarianceTN
NDVILST0.3800.1900.0020.08923
Total precipitation0.8400.0440.0010.089
Soil moisture0.003−0.588−0.121−3.299
DSR0.211−0.277−0.070−1.289
Air temperature at 2 m0.8710.0350.0000.163
PDSI0.6630.095−0.202−0.441
Runoff0.9890.0020.0000.013
Snow water equivalent0.1900.2830.0161.353
Wind speed0.154−0.306−0.026−1.447
Actual evapotranspiration0.2980.2260.0461.065

Pearson correlation between NDVI and mean DMSP

ParameterDMSPCNLI
Pearson correlation coefficient (r)0.738000.748
P-value0.048000.043
Covariance0.022410.034
Sample size (n)77
Statistic2.451002.520

Statistics related to human drivers from 2000 to 2020 using advanced sensors and night data extraction

YearMean valueSum (S)Total sumMean (zonal statistic)Light index (%)CNLI (%)
DMSP NTL 20000.23658,959342,0168.78230.36
DMSP NTL 20050.334812,394342,0169.10330.52
DMSP NTL 20100.576623,919342,0008.15570.90
DMSP NTL 20151.773079,304342,0167.33172.60
DMSP NTL 20183.9763184,971342,0167.34396.30
DMSP NTL 20197.2632317,604342,0167.757211.00
DMSP NTL 20202.111579,180342,0169.11213.34

Relationship between climate and environmental variables with EVI using Pearson regression model

ParametersP-valuerCovarianceTN
EVILST0.3110.2190.0001.02323
Total precipitation0.8400.0430.0000.201
Soil moisture0.003−0.577−0.074−3.021
DSR0.247−0.251−0.041−1.185
Air temperature at 2m0.1880.0320.0000.150
PDSI0.5970.116−0.153−0.536
Runoff0.9790.0550.0000.155
Snow water equivalent0.2620.2430.0091.152
Wind speed0.142−0.315−0.016−1.522
Actual evapotranspiration0.3050.2230.0381.051

Vegetation anomalies and changes during the period from 2000 to 2022

Description of the changesArea (km2)
No vegetation (unchanged)120,032.63
Deforestation7,190.12
Afforestation12,089.28
Vegetation (unchanged)78,733.91

Main sources with the satellite product specifications

InsigniaProductParameterTemporal coverageDescriptionWebsite details
MYD13A1.0 61NDVI16 DailyNormalized Difference Vegetation Indexhttps://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A1
ERA5-LandTemperatureDailyECMWF Climate Reanalysishttps://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR#bands
Evaporation
Runoff
CHIRPSPrecipitationDailyHazards Group InfraRedhttps://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_DAILY
ProductBandImage collectionValueUnitsTime and dataset availability
MinMax
MYD13 A1.061NDVIMODIS/061/MYD13A1-200010000--2002-07-04T00:00:00Z–2023-06-18T00:00:00
ERA5-Landtemperature_2mECMWF/ER A5_LAND/D AI LY_AGGR----K1950-01-02T00:00:00Z–2023-07-26T00:00:00
total_evapora----m of water equivalent
tion_sum
runoff_sum----m
CHIRPSPrecipitationCSB-CHG/CHIRPS/DAILY0*1444.34*mm/d1981-01-01T00:00:00Z–2023-06-30T00:00:00
Satellite/modelProduct nameData nameUnitSpatial resolutionTemporal resolutionTime extent
Modis/TerraMOD11A1.0 61 Terra Land Surface Temperature and Emissivity Daily Global 1 kmLST_Day_1kmKevin1000 metersDaily2000-02-24
Modis/TerraVegetation IndicesNDVIEVI-500 metersDaily2000-02-18
FLDASFEWS NETSoil Moisturem^3m-310 kmMonthly1/1/1982
Shortwave Radiation Fluxw m-2----
TERRA ClimateUniversity of IDAHOPalmer Drought Indexnan----1/1/1958
Wind Speedm/s4 kmMonthly
Satellite/modelProduct nameDate nameUnitSpatial resolutionTemporal coverageTime extent
MODISMODIS Land Cover Type (LC_Type2 Class Table)MCD12Q1.06 1-500 mYearly2001-01-01T00:00:00Z–2022-01-01T00:00:00 ee.ImageCollection("MODIS/061/MCD12Q1")
DOI: https://doi.org/10.2478/ffp-2024-0013 | Journal eISSN: 2199-5907 | Journal ISSN: 0071-6677
Language: English
Page range: 155 - 182
Submitted on: Dec 4, 2023
Accepted on: May 17, 2024
Published on: Sep 12, 2024
Published by: Forest Research Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Seyed Omid Reza Shobairi, Sun Lingxiao, Zhang Haiyan, Li Chunlan, He Jing, Behnam Asghari Beirami, published by Forest Research Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.