Convergence of global hydrothermal pattern leads to an increase in vegetation net primary productivity

Li, Chuanhua; Zhou, Min; Dou, Tianbao; Zhu, Tongbin; Yin, Huanhuan; Liu, Lihui

doi:10.1016/j.ecolind.2021.108282

Cited by 13 publications

(3 citation statements)

References 43 publications

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“…The study found that vegetation NPP is influenced by many factors, including temperature, precipitation, topography, soil, CO2, and human activities, and that the influencing factors vary greatly across regions [12][13][14]. Although scholars have conducted a lot of research on the driving force of NPP [15][16][17][18][19][20][21][22], they mostly choose climate factors, among which temperature and precipitation are the most commonly chosen. At the same time, there are relatively few studies on the influence of terrain, soil, LUCC, and human activities on NPP.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Climate Change and Land Use/Cover Change on the Net Primary Productivity of Vegetation in the Qinghai Lake Basin

Zhang

Yuan

Yang

et al. 2023

IJERPH

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The Qinghai Lake Basin acts as a natural barrier, preventing the western desert from spreading eastward. This is an important link in preserving the ecological stability of the northeastern region of the Qinghai–Tibet Plateau (QTP). Therefore, quantitative research into the net primary productivity (NPP) of vegetation and its driving force in the Qinghai Lake Basin is required. The effects of land use/cover change (LUCC) and climate change on NPP in the Qinghai Lake Basin were studied using R-contribution ratio and partial correlation analysis methods using MOD17A3H products, Land Use/Land Cover (LULC) data, and meteorological data. (1) The LULC of the Qinghai Lake Basin showed a trend that "the area of grassland, cultivated land, and unused land continued to decrease, while the area of other LULC types increased" from 2000 to 2020, according to the study's findings. Grassland, water bodies, construction land, and unused land dominated the mutual transformation of LULC types. (2) The NPP of the basin showed a growing trend, with a growth rate of 3.93 gC·m–2·a–1 before 2010 and 0.88 gC·m–2·a–1 after 2010. Significant regional heterogeneity was found in NPP, with gradients decreasing from southeast to northwest. (3) The impact of LUCC on overall NPP changes had gradually increased. Climate change has been the primary driver of NPP changes in the Qinghai Lake Basin over the last 20 years.

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Section: Introductionmentioning

confidence: 99%

Impacts of Climate Change and Land Use/Cover Change on the Net Primary Productivity of Vegetation in the Qinghai Lake Basin

Zhang

Yuan

Yang

et al. 2023

IJERPH

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“…Based on this coordinate system, the first, second, third, and fourth quadrants are defined as four climate types: warm‐wet, cold‐wet, cold‐dry, and warm‐dry (Ahlström et al., 2015; Batlle‐Bayer et al., 2014; Li et al., 2021; Salehnia et al., 2017). Specifically, this study explored whether the global climate distribution has become more extreme or more convergent over the past 40 years and how different emission scenarios will affect the climate distribution in the future.…”

Section: Introductionmentioning

confidence: 99%

Climate Change Is Leading to a Convergence of Global Climate Distribution

Li,

Liu,

Tsunekawa

et al. 2024

Geophysical Research Letters

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The impact of changes in global temperatures and precipitation on climate distribution remains unclear. Taking the annual global average temperatures and precipitation as the origin, this study determined the climate distribution with the distances of temperature and precipitation from their global averages as the X and Y axes. The results showed that during 1980–2019, the global temperature distribution converged toward the mean (convergence), while the precipitation distribution moved away from the mean (divergence). The combined effects of both led to a convergence in the global climate distribution. During 2025–2100, significant climate convergence is observed under two emission scenarios (SSP245 and SSP585). However, the climate convergence and the area of change in climate type remains insignificant only under SSP126, suggesting that the diversity of the global climate pattern can be maintained under a sustainable emission pathway (SSP126), whereas high emission pathways will lead to greater uniformity in global climate.

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“…In general, there is an increasing trend in global vegetation NPP in recent decades, accompanied by spatial heterogeneity [ 8 ]. These changes include the increase on vegetation NPP in Amazon Basin, Southeast Asia, Russia, north of North America, south, central, and northeastern China, and polar regions [ 9 ] and a decrease over eastern Brazil, southern United States, Western Europe, southern and eastern Africa, Australia, Mexico, and parts of South America [ 3 , 4 , 10 ]. In China, vegetation NPP also shows an overall increasing trend across the country, with obvious spatial heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

Net Primary Productivity Variations Associated with Climate Change and Human Activities in Nanjing Metropolitan Area of China

Chen

Liu

et al. 2022

IJERPH

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Rapid economic development has changed land use and population density, which in turn affects the stability and carbon sequestration capacity of regional ecosystems. Net primary productivity (NPP) can reflect the carbon sequestration capacity of ecosystems and is affected by both climate change and human activities. Therefore, quantifying the relative contributions of climate change and human activities on NPP can help us understand the impact of climate change and human activities on the carbon sequestration capacity of ecosystems. At present, researchers have paid more attention to the impact of climate change and land use change on NPP. However, few studies have analyzed the response of the NPP to gross domestic product (GDP) and population density variations on a pixel scale. Therefore, this paper analyzes the impact of climate change and human activities to NPP on a pixel scale in the Nanjing metropolitan area. During the period 2000–2019, the annual mean NPP was 494.89 g C·m−2·year−1, and the NPP in the south of the Nanjing metropolitan area was higher than that in the north. The NPP was higher in the forest, followed by unused land, grassland, and cropland. In the past 20 years, the annual mean NPP showed a significant upward trend, with a growth rate of 3.78 g C·m−2·year−1. The increase in temperature and precipitation has led to an increasing trend of regional NPP, and the impact of precipitation on NPP was more significant than that of temperature. The transformation of land use from low-NPP type to high-NPP type also led to an increase in NPP. Land use change from high-NPP type to low-NPP type was the main cause of regional NPP decline. Residual analysis was used to analyze the impact of human activities on NPP. Over the last 20 years, the NPP affected by human activities (NPPhum) showed a high spatial pattern in the south and a low spatial pattern in the north, and the annual mean NPPhum also showed a fluctuating upward trend, with a growth rate of 2.00 g C·m−2·year−1. The NPPhum was influenced by both GDP and population density, and the impact of population density on NPP was greater than that of GDP.

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Convergence of global hydrothermal pattern leads to an increase in vegetation net primary productivity

Cited by 13 publications

References 43 publications

Impacts of Climate Change and Land Use/Cover Change on the Net Primary Productivity of Vegetation in the Qinghai Lake Basin

Impacts of Climate Change and Land Use/Cover Change on the Net Primary Productivity of Vegetation in the Qinghai Lake Basin

Climate Change Is Leading to a Convergence of Global Climate Distribution

Net Primary Productivity Variations Associated with Climate Change and Human Activities in Nanjing Metropolitan Area of China

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