Grassland dynamics in responses to climate variation and human activities in China from 2000 to 2013

Liu, Yangyang; Wang, Qian; Zhang, Zhaoying; Tong, Linjing; Wang, Zhenqian; Li, Jianlong

doi:10.1016/j.scitotenv.2019.06.503

Cited by 109 publications

(56 citation statements)

References 48 publications

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“…However, 21% of the area was affected by both factors. Our statistics were different from the results of Liu et al [69]; climate variations affected a larger area but quantitatively (NPP change per unit area) contributed less than human activities. Furthermore, Zhang et al [35] studied the grassland dynamics of Xinjiang province and concluded that climate and human factors contributed equally to NPP decrease, whereas human activities played a relatively greater role in NPP restoration.…”

Section: Discussioncontrasting

confidence: 99%

“…Our findings indicate that climate variations affect vegetation areas in China more than human factors, but contribute slightly lesser than anthropogenic factors in NPP change per unit area. Similarly, Liu et al [69] studied grassland dynamics due to climate change and human activities from 2000 to 2013 and concluded that the relative contributions of climate and human activities for grassland dynamics of China were 41.45% and 45.22%, respectively. In the current study, during the base period, climate change and human activities contributed approximately 43% and 22% to grassland dynamics, respectively, whereas 35% of the area was affected by both factors.…”

Section: Discussionmentioning

confidence: 99%

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Quantifying the Impacts of Anthropogenic Activities and Climate Variations on Vegetation Productivity Changes in China from 1985 to 2015

et al. 2020

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Accurate assessment of vegetation dynamics provides important information for ecosystem management. Anthropogenic activities and climate variations are the major factors that primarily influence vegetation ecosystems. This study investigates the spatiotemporal impacts of climate factors and human activities on vegetation productivity changes in China from 1985 to 2015. Actual net primary productivity (ANPP) is used to reflect vegetation dynamics quantitatively. Climate-induced potential net primary productivity (PNPP) is used as an indicator of climate change, whereas the difference between PNPP and ANPP is considered as an indicator of human activities (HNPP). Overall, 91% of the total vegetation cover area shows declining trends for net primary productivity (NPP), while only 9% shows increasing trends before 2000 (base period). However, after 2000 (restoration period), 78.7% of the total vegetation cover area shows increasing trends, whereas 21.3% of the area shows decreasing trends. Moreover, during the base period, the quantitative contribution of climate change to NPP restoration is 0.21 grams carbon per meter square per year (gC m−2 yr−1) and to degradation is 2.41 gC m−2 yr−1, while during the restoration period, climate change contributes 0.56 and 0.29 gC m−2 yr−1 to NPP restoration and degradation, respectively. Human activities contribute 0.36 and 0.72 gC m−2 yr−1 during the base period, and 0.63 and 0.31 gC m−2 yr−1 during the restoration period to NPP restoration and degradation, respectively. The combined effects of climate and human activities restore 0.65 and 1.11 gC m−2 yr−1, and degrade 2.01 and 0.67 gC m−2 yr−1 during the base and restoration periods, respectively. Climate factors affect vegetation cover more than human activities, while precipitation is found to be more sensitive to NPP change than temperature. Unlike the base period, NPP per unit area increases with an increase in the human footprint pressure during the restoration period. Grassland has more variability than other vegetation classes, and the grassland changes are mainly observed in Tibet, Xinjiang, and Inner Mongolia regions. The results may help policy-makers by providing necessary guidelines for the management of forest, grassland, and agricultural activities.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Quantifying the Impacts of Anthropogenic Activities and Climate Variations on Vegetation Productivity Changes in China from 1985 to 2015

et al. 2020

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“…7 and 8B). A possible explanation for this is that these arid areas are usually affected by severe water deficits, temperature does not represent an important limiting factor for vegetation growth (Liu et al, 2019a). Apparently, further investigation needs to be conducted in order to figure out how grassland respond to the complex interaction between AP and AMT (Xia et al, 2014).…”

Section: The Responses Of Grassland Npp To Climate Changementioning

confidence: 99%

“…However, the spatio-temporal variation of NPP in grassland ecosystem and their climate controls have rarely been identified in different parts of the world, and these variations and interactions have received a little attention at the global scale (Xing et al, 2010;Gang et al, 2015). Moreover, as mentioned earlier, the earth has experienced three warmest decades during the period from 1980 through 2009 (Liu et al, 2019a). Consequently, a consecutive study on global grassland NPP over the past warmest three decades (1980−2009) is indispensable.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Dynamics of Grassland Net Primary Productivity in Response to Climate Change at the Global Scale

et al. 2019

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Understanding the net primary productivity (NPP) of grassland is crucial to evaluate the terrestrial carbon cycle. In this study, we investigated the spatial distribution and the area of global grassland across the globe. Then, we used the Carnegie-Ames-Stanford Approach (CASA) model to estimate global grassland NPP and explore the spatio-temporal variations of grassland NPP in response to climate change from 1982 to 2008. Results showed that the largest area of grassland distribution during the study period was in Asia (1737.23 × 10 4 km 2), while the grassland area in Europe was relatively small (202.83 × 10 4 km 2). Temporally, the total NPP increased with fluctuations from 1982 to 2008, with an annual increase rate of 0.03 Pg C/yr. The total NPP experienced a significant increasing trend from 1982 to 1995, while a decreasing trend was observed from 1996 to 2008. Spatially, the grassland NPP in South America and Africa were higher than the other regions, largely as a result of these regions are under warm and wet climatic conditions. The highest mean NPP was recorded for savannas (560.10 g C/(m 2 •yr)), whereas the lowest was observed in open shrublands with an average NPP of 162.53 g C/(m 2 •yr). The relationship between grassland NPP and annual mean temperature and annual precipitation (AMT, AP, respectively) varies with changes in AP, which indicates that, grassland NPP is more sensitive to precipitation than temperature.

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“…Road and railway construction affected the vigilance behavior and initial flight ability of wild birds, and decreased aboveground net primary productivity (ANPP).[2,85,95-98]2. Climate changeIncreased unstable plant biomass; decreased plant cover and aboveground and belowground biomass; stimulated desert exacerbation; declined river water quantity, storage, and flows; decreased grassland quality and species richness, limiting precipitation and temperature; reduced permafrost and glacier receding; altered soil carbon and nitrogen cycling; and transformed alpine meadow into shrubs [25,34,41,55,60,72,73,85,[99][100][101]. 3.…”

mentioning

confidence: 99%

Status and Challenges of Qinghai–Tibet Plateau’s Grasslands: An Analysis of Causes, Mitigation Measures, and Way Forward

et al. 2020

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Grassland ecosystems on the Qinghai–Tibet Plateau (QTP) provide numerous ecosystem services and functions to both local communities and the populations living downstream through the provision of water, habitat, food, herbal medicines, and shelter. This review examined the current ecological status, degradation causes, and impacts of the various grassland degradation mitigation measures employed and their effects on grassland health and growth in the QTP. Our findings revealed that QTP grasslands are continually being degraded as a result of complex biotic and abiotic drivers and processes. The biotic and abiotic actions have resulted in soil erosion, plant biomass loss, soil organic carbon loss, a reduction in grazing and carrying capacity, the emergence of pioneer plant species, loss of soil nutrients, and an increase in soil pH. A combination of factors such as overgrazing, land-use changes, invasive species encroachment, mining activities, rodent burrowing activities, road and dam constructions, tourism, migration, urbanization, and climate change have caused the degradation of grasslands on the QTP. A conceptual framework on the way forward in tackling grassland degradation on the QTP is presented together with other appropriate measures needed to amicably combat grassland degradation on the QTP. It is recommended that a comprehensive and detailed survey be carried out across the QTP to determine the percentage of degraded grasslands and hence, support a sound policy intervention.

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Grassland dynamics in responses to climate variation and human activities in China from 2000 to 2013

Cited by 109 publications

References 48 publications

Quantifying the Impacts of Anthropogenic Activities and Climate Variations on Vegetation Productivity Changes in China from 1985 to 2015

Quantifying the Impacts of Anthropogenic Activities and Climate Variations on Vegetation Productivity Changes in China from 1985 to 2015

Assessing the Dynamics of Grassland Net Primary Productivity in Response to Climate Change at the Global Scale

Status and Challenges of Qinghai–Tibet Plateau’s Grasslands: An Analysis of Causes, Mitigation Measures, and Way Forward

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