Spatial-temporal distribution of net primary productivity and its relationship with climate factors in Inner Mongolia from 2001 to 2010

Shaojie, 穆少杰 Mu; Jianlong, 李建龙 Li; Wei, 周伟 Zhou; Hongfei, 杨红飞 Yang; Chaobin, 章超斌 Zhang; Weimin, 居为民 Ju

doi:10.5846/stxb201205030638

Cited by 24 publications

(10 citation statements)

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“…However, the increasing uptake of CO 2 from the atmosphere by terrestrial ecosystems may soon be outweighed by the negative effects of climate change (Peñuelas et al, 2017). Climate-induced reduction of vegetation growth and the associated potential desertification trends may jeopardize the integrity of the grasslands on the Mongolian Plateau in the future (Mu, Li, Yang, Gang, & Chen, 2013;Sternberg, Tsolmon, Middleton, & Thomas, 2011). These impacts are particularly relevant in light of the region's arid and semiarid conditions, with adequate precipitation during the growing season becoming an increasingly decisive factor in vegetation growth (Tong et al, 2017;Zewdie, Csaplovics, & Inostroza, 2017;Zhou et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Grassland greening on the Mongolian Plateau despite higher grazing intensity

et al. 2020

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Changes in land management and climate alter vegetation dynamics, but the determinants of vegetation changes often remain elusive, especially in global drylands. Here we assess the determinants of grassland greenness on the Mongolian Plateau, one of the world's largest grassland biomes, which covers Mongolia and the province of Inner Mongolia in China. We use spatial panel regressions to quantify the impact of precipitation, temperature, radiation, and the intensity of livestock grazing on the normalized difference vegetation indices (NDVI) during the growing seasons from 1982 to 2015 at the county level. The results suggest that the Mongolian Plateau experienced vegetation greening from 1982 to 2015. Precipitation and animal density were the most influential factors contributing to higher NDVI on the grasslands of Inner Mongolia and Mongolia. Our results highlight the dominant effect of climate variability, and especially of the precipitation variability, on the grassland greenness in Mongolian drylands. The findings challenge the common belief that higher grazing pressure is the key driver for land degradation. The analysis exemplifies how representative wall‐to‐wall results for large areas can be attained from exploring space–time data and adds empirical insights to the puzzling relationship between grazing intensity and vegetation growth in dryland areas.

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Section: Discussionmentioning

confidence: 99%

Grassland greening on the Mongolian Plateau despite higher grazing intensity

et al. 2020

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“…They investigated how different climatic factors influenced the NPP of these vegetation types. Their findings indicated that temperature predominantly constrained the NPP of forest vegetation, whereas precipitation played a primary role in regulating the NPP of farmland, grassland, and desert vegetation [23]. Overall, these studies strongly emphasize the importance of climate in vegetation NPP.…”

Section: Introductionmentioning

confidence: 93%

“…Their findings suggested that temperature and precipitation significantly affected vegetation NPP, surpassing the influence of sunshine hours [22]. Mu et al, (2013) assessed the NPP of various vegetation types in Inner Mongolia, spanning a period from 2001 to 2010. They investigated how different climatic factors influenced the NPP of these vegetation types.…”

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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“…In a complex geographic system composed of multiple elements, the change in one element will inevitably affect changes in the other elements. Partial correlation analysis is often used to study the response of vegetation to climate variables (Zhang et al, 2011;Mu et al, 2013). In this study, we used partial correlation coefficients and their significances to assess the sensitive factors of climate change risk.…”

Section: Sensitive Factors Of Climate Change Riskmentioning

confidence: 99%

Intensified risk to ecosystem productivity under climate change in the arid/humid transition zone in northern China

Yin

Deng

et al. 2021

J. Geogr. Sci.

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Assessing the climate change risk faced by the ecosystems in the arid/humid transition zone (AHTZ) in northern China holds scientific significance to climate change adaptation. We simulated the net primary productivity (NPP) for four representative concentration pathways (RCPs) using an improved Lund-Potsdam-Jena model. Then a method was established based on the NPP to identify the climate change risk level. From the midterm period (2041-2070) to the long-term period (2071-2099), the risks indicated by the negative anomaly and the downward trend of the NPP gradually extended and increased. The higher the scenario emissions, the more serious the risk. In particular, under the RCP8.5 scenario, during 2071-2099, the total risk area would be 81.85%, that of the high-risk area would reach 54.71%. In this high-risk area, the NPP anomaly would reach -96.00±46.95 gC•m -2 •a -1 , and the rate of change of the NPP would reach -3.56±3.40 gC•m -2 •a -1 . The eastern plain of the AHTZ and the eastern grasslands of Inner Mongolia are expected to become the main risk concentration areas. Our results indicated that the management of future climate change risks requires the consideration of the synergistic effects of warming and intensified drying on the ecosystem.

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Spatial-temporal distribution of net primary productivity and its relationship with climate factors in Inner Mongolia from 2001 to 2010

Cited by 24 publications

References 0 publications

Grassland greening on the Mongolian Plateau despite higher grazing intensity

Grassland greening on the Mongolian Plateau despite higher grazing intensity

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

Intensified risk to ecosystem productivity under climate change in the arid/humid transition zone in northern China

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