Spatiotemporal distribution of grassland NPP in Gansu province, China from 1982 to 2011 and its impact factors

Zhang, Meiling; Liu, Xiaoni; Nazieh, Stephen; Wang, Xingyu; Nkrumah, Teddy; Hong, Shanglang

doi:10.1371/journal.pone.0242609

Cited by 17 publications

(7 citation statements)

References 29 publications

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“…Grassland annual NPP varied significantly across the four grassland types, with a higher annual average NPP in meadow steppe and typical steppe, and a lower annual average NPP in steppe desert and desert steppe (Figure 1a ). Similar results were also reported for the spatial distribution of annual NPP in grasslands in the Gansu Province (Zhang, Liu, et al, 2020 ), where NPP in the southeast (Qilian Mountain, Longnan Mountain, and Gannan Plateau) which is mostly occupied by meadow and typical steppe was highest and NPP in the northwest (Hexi Corridor and North Mountain) which is occupied by steppe desert and desert steppe was lowest (Zhang, Liu, et al, 2020 ). Similarly, investigating the changes of NPP across different biomes for the period 2000–2010, Liu et al ( 2015 ) also reported that NPP in steppe grasslands was higher than that in desert grasslands, which is consistent with our findings where we found NPP was highest in meadow steppe and lowest in desert steppe.…”

Section: Discussionsupporting

confidence: 89%

Response of grassland net primary productivity to dry and wet climatic events in four grassland types in Inner Mongolia

Hossain

Kabir

Nila

et al. 2021

Plant Enviro Interactions

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Increasing frequency and intensity of climate extremes have profound impacts on grassland biodiversity functioning and stability. Using Moderate Resolution Imaging Spectroradiometer (MODIS) net primary productivity (NPP) data and standardized precipitation evapotranspiration index, we assessed the response of NPP to growingseason and annual climate extremes and time-lag of climatic conditions across four grassland types (meadow steppe, typical steppe, steppe desert, and desert steppe) in Inner Mongolia, China from the period 2000 to 2019. Results showed that annual NPP varied significantly across four grassland types, with the highest NPP in meadow steppe and the lowest in desert steppe. Annual NPP of all grassland types increased over the past 20 years, but NPP in meadow steppe and typical steppe decreased for the period 2012-2019. Irrespective of grassland type, the 1-and 2-month timelag of climatic conditions showed significant effects on annual NPP. Growing-season climate was found the better predictor of annual NPP in all grassland types than the annual climate. Compared with growing-season normal climates, annual NPP was lowest in extreme dry events in all grasslands, while highest in extreme wet events in meadow steppe and typical steppe, and in moderate wet events in steppe desert and desert steppe. Typical steppe and steppe desert are highly vulnerable to the increasing intensity of climate extremes, as we found that the losses of NPP in these grasslands in extreme dry were almost double than that of moderate dry events. Surprisingly, for meadow steppe and desert steppe, the losses of NPP for both moderate and extreme dry events were almost the same, which highlights that a lowintensity drought may have profound impacts on the annual NPP of these grasslands.The study provides the key insight in scientific basis to improve our understanding of the effects of climate extremes on grassland NPP, which is critical to sustainable management of grassland and maintain ecosystem stability.

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Section: Discussionsupporting

confidence: 89%

Response of grassland net primary productivity to dry and wet climatic events in four grassland types in Inner Mongolia

Hossain

Kabir

Nila

et al. 2021

Plant Enviro Interactions

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“…However, the high temperature during growing seasons corresponded to high evapotranspiration, decreasing the amount of water available for grassland growth. Similar relationships between climate patterns and the FSn and grassland NPP were found in other regions in Northwest China [57,58]. For artificial grasslands, scarce precipitation would cause a shortage of irrigation water, resulting in reduced yield.…”

Section: Forage Supply-demand Relationshipssupporting

confidence: 69%

Forage Supply–Demand Assessment and Influencing Factor Analysis from the Perspective of Socio-Ecological System: A Case Study of Altay Prefecture, China

Yang

Nan

et al. 2023

Land

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The provision and utilization of grassland resources connect grassland ecosystems and pastoral society. Revealing the mechanism behind the forage supply–demand relationship and balancing forage supply and demand is essential in pastoral socio-ecological systems. Taking Altay Prefecture as the case study, this study quantified the dynamics of natural forage supply, artificial supplemental forage, and forage demand. The ratio of forage supply to demand was calculated in the traditional grazing scenario and the grazing prohibition and supplemental feeding scenario. The results showed that during 2001–2018, the forage supplied by natural grasslands fluctuated, with the highest and lowest values in 2013 and 2008, respectively. The artificial supplemental forage increased at a higher rate in 2011–2018 than in 2001–2010. The overall trend of forage demand was upward, at approximately 2.98 × 104 t/a. The ratio of forage supply to demand decreased in the traditional scenario with an average value of 0.4717 and increased in the grazing prohibition and supplemental feeding scenario with an average value of 0.8289. The influencing factors were analyzed from the perspective of the interactions between the socio-ecological system elements, and the forage supply–demand relationships were conceptualized based on the social–ecological system framework. This study concludes that natural grasslands cannot entirely meet the increasing forage demand without artificial supplemental forage. The increasing artificial supplemental forage has promoted a balance between forage supply and demand, indicating an optimized grassland utilization pattern. The factors that affect forage supply–demand relationships are interrelated, and a holistic perspective should be adopted when implementing management measures.

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“…NPP was calculated based on the CASA model, although its prediction accuracy is not perfect due to the differences in spatial resolution and the actual and simulated values of variable factors [ 22 ]. Nevertheless, it is widely recognized and applied in numerous macroecological studies [ 23 , 24 , 25 ].…”

Section: Discussionmentioning

confidence: 99%

Time Effects of Global Change on Forest Productivity in China from 2001 to 2017

Gao

2023

Plants

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With global warming, the concentrations of fine particulate matter (PM2.5) and greenhouse gases, such as CO2, are increasing. However, it is still unknown whether these increases will affect vegetation productivity. Exploring the impacts of global warming on net primary productivity (NPP) will help us understand how ecosystem function responds to climate change in China. Using the Carnegie-Ames-Stanford Approach (CASA) ecosystem model based on remote sensing, we investigated the spatiotemporal changes in NPP across 1137 sites in China from 2001 to 2017. Our results revealed that: (1) Mean Annual Temperature (MAT) and Mean Annual Precipitation (MAP) were significantly positively correlated with NPP (p < 0.01), while PM2.5 concentration and CO2 emissions were significantly negatively correlated with NPP (p < 0.01). (2) The positive correlation between temperature, rainfall and NPP gradually weakened over time, while the negative correlation between PM2.5 concentration, CO2 emissions and NPP gradually strengthened over time. (3) High levels of PM2.5 concentration and CO2 emissions had negative effects on NPP, while high levels of MAT and MAP had positive effects on NPP.

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Spatiotemporal distribution of grassland NPP in Gansu province, China from 1982 to 2011 and its impact factors

Cited by 17 publications

References 29 publications

Response of grassland net primary productivity to dry and wet climatic events in four grassland types in Inner Mongolia

Response of grassland net primary productivity to dry and wet climatic events in four grassland types in Inner Mongolia

Forage Supply–Demand Assessment and Influencing Factor Analysis from the Perspective of Socio-Ecological System: A Case Study of Altay Prefecture, China

Time Effects of Global Change on Forest Productivity in China from 2001 to 2017

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