Quantitative analysis of spatiotemporal changes and driving forces of vegetation net primary productivity (NPP) in the Qimeng region of Inner Mongolia

Han, Xue; Chen, Yunpeng; Dong, Guotao; Li, Jinyu

doi:10.1016/j.ecolind.2023.110610

Cited by 14 publications

(3 citation statements)

References 62 publications

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“…55,56 Vertical lapse rates of air temperature can vary due to factors such as slope and aspect, necessitating a comprehensive terrain-based assessment to determine specific lapse rate values. 57 In addition, to enhance reconstruction accuracy, a mixed multivariate model should develop, accounting for varying factors such as cloud coverage range and adjacent period cloud cover patterns. 58 This study primarily utilizes MODIS data with a resolution of 1 km.…”

Section: Research Limitationsmentioning

confidence: 99%

Analyzing land surface temperature changes in the Danjiang River Basin: a MODIS-based reconstruction and assessment before and after the middle route of the South-to-North Water Diversion Project

Guo,

Wang,

Peng

2024

J. Appl. Rem. Sens.

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Land surface temperature (LST) serves as a crucial parameter in scientific investigations pertaining to resource management, climate change, and terrestrial ecosystems. The implementation of large-scale water conservancy projects influences the water areas of the water source, thereby affecting regional climate, vegetation, and consequently, the LST. At present, widely used moderate resolution imaging spectroradiometer temperature products often exhibit data loss or distortion due to atmospheric interference or technical challenges. We introduce an advanced interpolation of the mean anomaly method, grounded in the digital elevation model, to address these missing values. Moreover, we utilize indicators such as temperature difference (TD) and project effect change intensity (PECI) to scrutinize the influence of the aforementioned water diversion project on the study area's LST. Our findings indicate that: (1) The R 2 values for the improved interpolation of mean anomalies based on the digital elevation model method for LST reconstruction consistently exceed 0.902, demonstrating higher accuracy in regions with significant elevation differences, especially during nighttime. (2) The TD is correlated with the proximity and size of water bodies. (3) The PECI is notably higher during wet seasons and nighttime. There is a minimal variation in the prevalence of extremely strong impact areas across different periods. (4) Subsequent to the middle route of the South-to-North Water Diversion Project, both warming and cooling effects have been observed in the study area. Notably, the direction of the warming effect is divergent in the northern mountainous regions compared with the central and southern plains.

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Section: Research Limitationsmentioning

confidence: 99%

Analyzing land surface temperature changes in the Danjiang River Basin: a MODIS-based reconstruction and assessment before and after the middle route of the South-to-North Water Diversion Project

Guo,

Wang,

Peng

2024

J. Appl. Rem. Sens.

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“…Additionally, some scholars have researched human activities that contribute to alterations in NPP [19,25]. When discussing the impact of anthropogenic factors on vegetation NPP, most studies primarily focus on aspects such as land use [26], population density [27], nighttime lights, and GDP [28]. Hao et al (2023) employed a geodetector approach to study the multifaceted effects and interactions among various variables influencing NPP in Henan Province.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Assessment of the Impact of the Three-North Shelter Forest Program on Vegetation Net Primary Productivity over the Past Two Decades and Its Environmental Benefits in China

Zhang,

Zhang

2024

Sustainability

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Vegetation net primary productivity (NPP) is a crucial indicator for assessing the carbon balance in terrestrial ecosystems. Qualitative and comparative research on the NPP influenced by human activities, climate change, and their interactions remains insufficient. The Three-North Shelter Forest Program (TNSFP), initiated in 1978, provides a valuable reference for such investigations. This study employs an improved residual trend method to analyze the spatiotemporal patterns, trends, and driving factors of vegetation NPP during the second phase of the Three-North Shelter Forest Program (2001–2020), as well as TNSFP’s contribution to vegetation NPP. The results indicate that (1) from 2001 to 2020, overall vegetation NPP exhibited a significant fluctuating upward trend at a rate of 3.69 g C/m−2 annually; and (2) precipitation, accounting for 1.527 g C/m−2, had a more significant impact on vegetation net productivity compared to temperature (0.002 g C/m−2). Climate factors (76%) significantly influenced vegetation NPP in the Three-North Shelter Forest region more than human activities (24%). In the last decade (2011–2020), the climate contribution rate decreased to 67%, while the human activity contribution rate increased by seven percentage points compared to the previous decade (2001–2010); (3) during 2001–2020, TNSFP contributed 10.9% to the total human activity contribution to vegetation net primary productivity, approximately 2.6% of the overall contribution; (4) After the second phase of TNSFP was enacted, PM2.5 levels decreased by an average of −0.57 μg/m−3/a−1. Concurrently, soil conservation improved from 6.57 t/km2 in 2001 to 14.37 t/km2 in 2020.

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“…Data obtained through remote sensing can be employed to observe the varying changes in vegetation [17]. Commonly used vegetation ecological indices include the Normalized Difference Vegetation Index (NDVI) [18], Fraction of Vegetation Cover (FVC) [19], Enhanced Vegetation Index (EVI) [20], Gross Primary Productivity (GPP) [21], and Net Primary Productivity (NPP) [22]. However, these vegetation ecological indices reflect only one of the vegetation indicators of vegetation coverage or productivity.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Changes in Vegetation Ecological Quality in the Tarim Basin and Its Response to Extreme Climate during 2000–2022

Zhang,

Lu,

Sun

et al. 2024

Forests

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The Tarim Basin is located in an arid inland area; the ecological environment is fragile, and it is extremely sensitive to climate change. For the purpose of studying dynamic changes in the vegetation response of vegetation in the Tarim Basin to extreme climate, this study used the Vegetation Ecological Quality Index (EQI) as a vegetation indicator and calculated 12 extreme climate indices using Rclimdex. Pearson correlation analysis was used to explore the relationship between EQI values and various extreme climate indices at both inter-annual and intra-annual scales. Additionally, geographic detector analysis was employed to examine the single and interactive effects of extreme climate on the EQI for different vegetation types. The following was found: (1) During 2000–2022, the EQI showed an upward trend in the Tarim Basin, and the increase in agricultural vegetation was the fastest. (2) Since 2000, the extreme warm temperature indices have risen, whereas the extreme cold temperature indices have declined. The warming rate of nighttime temperatures exceeds that of daytime, and the extreme precipitation rises intensively. Simultaneously, continuous dry days have also increased. (3) On an inter-annual scale, the EQI is primarily negatively correlated with the most extreme warm temperature indices, while it is positively correlated with extreme cold temperatures and extreme precipitation indices. On an intra-annual scale, there is an obvious regional concentration in the correlation between the EQI and extreme climate indices. The diurnal temperature range (DTR) and cold daytimes (TX10P) have inhibitory and promoting effects on areas with high and low EQI, respectively. The extremum indices, temperature warm indices, and precipitation intensity indices have a promoting effect on areas with a high EQI and an inhibiting effect on areas with a low EQI. The interaction between extreme climate indices has a greater impact on the EQI than the effect of a single extreme climate index, especially with a significant impact on forests and shrubs. This study provides a reference for the early warning of meteorological disasters, ecosystem protection, and sustainable management in the Tarim Basin.

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Quantitative analysis of spatiotemporal changes and driving forces of vegetation net primary productivity (NPP) in the Qimeng region of Inner Mongolia

Cited by 14 publications

References 62 publications

Analyzing land surface temperature changes in the Danjiang River Basin: a MODIS-based reconstruction and assessment before and after the middle route of the South-to-North Water Diversion Project

Analyzing land surface temperature changes in the Danjiang River Basin: a MODIS-based reconstruction and assessment before and after the middle route of the South-to-North Water Diversion Project

Quantitative Assessment of the Impact of the Three-North Shelter Forest Program on Vegetation Net Primary Productivity over the Past Two Decades and Its Environmental Benefits in China

Dynamic Changes in Vegetation Ecological Quality in the Tarim Basin and Its Response to Extreme Climate during 2000–2022

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