The effects of climate factors and human activities on net primary productivity in Xinjiang

Jiang, Yelin; Guo, Jing; Qing, Peng; Guan, Yanlong; Zhang, Yang; Zhang, Renping

doi:10.1007/s00484-020-01866-4

Cited by 35 publications

(20 citation statements)

References 47 publications

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“…Usually, forest carbon sequestration was positively related to radiation [ 5 , 20 , 37 ]. For example, Jiang et al [ 38 ] showed that reduction in cloud cover increased solar radiation reaching the Earth’s surface, thereby increasing NPP. Mercado et al [ 39 ] demonstrated that solar radiation was the main driver of plant photosynthesis.…”

Section: Discussionmentioning

confidence: 99%

Simulation and Analysis of the Effects of Land Use and Climate Change on Carbon Dynamics in the Wuhan City Circle Area

Liu

Liang

Zhao

et al. 2021

IJERPH

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In a climate and land use change context, the sequestration of atmospheric carbon in urban agglomeration is key to achieving carbon emission and neutrality targets. It is thus critical to understand how various climate and land use changes impact overall carbon sequestration in large-scale city circle areas. As the largest urban agglomeration in central China, carbon dynamics in the Wuhan City Circle area have been deeply affected by rapid urbanization and climate change in the past two decades. Here, we applied monthly climate data, spatially explicit land use maps, NDVI (Normalized Difference Vegetation Index) images and the CASA (Carnegie–Ames–Stanford Approach) model to estimate the spatial and temporal changes of carbon dynamics in the Wuhan City Circle area from 2000 to 2015. We designed six different scenarios to analyze the effects of climate change and land use change on carbon dynamics. Our simulation of NPP (Net Primary Productivity) increased from 522.63 gC × m−2 to 615.82 gC × m−2 in the Wuhan City Circle area during 2000–2015. Climate change and land use change contributed to total carbon sequestration by −73.3 × 1010 gC and 480 × 1010 gC, respectively. Both precipitation and temperature had a negative effect on carbon sequestration, while radiation had a positive effect. In addition, the positive effect on carbon sequestration from afforestation was almost equal to the negative effect from urbanization between 2000 and 2015. Importantly, these findings highlight the possibility of carrying out both rapid urbanization and ecological restoration simultaneously.

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Section: Discussionmentioning

confidence: 99%

Simulation and Analysis of the Effects of Land Use and Climate Change on Carbon Dynamics in the Wuhan City Circle Area

Liu

Liang

Zhao

et al. 2021

IJERPH

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“…However, there was no obvious change in the type and distribution of vegetation, which may not only be due to human activities but also likely affected by the inertness of modern ecosystems to climate change (Scheffer et al, 2001). On the one hand, human activities such as large-scale agricultural reclamation and irrigation (Piao et al, 2003;Zhu et al, 2013) could change regional soil properties (e.g., moisture, pH, organic matter, nitrogen, and microorganisms) to affect the succession of vegetation types (Jiang et al, 2020), further influencing the biophysical characteristics of vegetation types. On the other hand, the threshold range of precipitation in response to different vegetation types could be more stable than that of the precipitation range of the Köppen arid climate (Mahlstein et al, 2013;Peel et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

Vegetation response to climate zone dynamics and its impacts on surface soil water content and albedo in China

Guan

Yin

et al. 2020

Science of The Total Environment

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Extensive research has focused on the response of vegetation to climate change, including potential mechanisms and resulting impacts. Although many studies have explored the relationship between vegetation and climate change in China, research on spatiotemporal distribution changes of climate regimes using natural vegetation as an indicator is still lacking. Further, limited information is available on the response of vegetation to shifts in China's regional climatic zones. In this study, we applied Mann-Kendall, and correlation analysis to examine the variabilities in temperature, precipitation, surface soil water, normalised difference vegetation index (NDVI), and albedo in China from 1982 to 2012. Our results indicate significant shifts in the distribution of Köppen-Geiger climate classes in China from 12.08% to 18.98% between 1983 and 2012 at a significance level of 0.05 (MK). The percentage areas in the arid and continental zones expanded at a rate of 0.004%/y and 0.12%/y, respectively, while the percentage area in the temperate and alpine zones decreased by -0.05%/y and -0.07%/y. Sensitivity fitting results between simulated and observed changes identified temperature to be a dominant control on the dynamics of temperate (r 2 =0.98) and alpine (r 2 =0.968) zones, while precipitation was the dominant control on the changes of arid (r 2 =0.856) and continental (r 2 =0.815) zones. The response of the NDVI to albedo infers a more pronounced radiative response in temperate (r = -0.82, p < 0.01) and alpine (r = -0.476, p < 0.05) compared to arid and continental zones. Furthermore, we identified more pronounced monthly increasing trends in 3 NDVI and soil water, corresponding to weak changes in albedo during vegetation growing periods. Our results suggest that climate zone shifting has considerable impacts on the vegetation in China and will have larger ecological impacts through radiative or non-radiative feedback mechanisms in future warming scenarios.

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“…Considering that large-scale ecological projects have been carried out in the study area since 2000, this research divided the entire research period into two phases: 1982-1999 and 2000-2018. During the 1982-1999 period, human activities had relatively little impact on vegetation changes, and so we used the observed NDVI (NDVI obs ) and natural factors during this period to calculate the regression coefficients [15,31]. Then, the NDVI pre values from 2000 to 2018 were calculated using the regression coefficients obtained from the 1982-1998 period.…”

Section: Residual Analysismentioning

confidence: 99%

“…Xinjiang is an extremely vulnerable region, with widespread deserts, frequent environmental challenges, and severe water scarcity [31][32][33]. Climate change effects have resulted in Xinjiang experiencing a change in climate after 1987 from a warm-dry climate to a warmwet climate [34,35].…”

Section: Introductionmentioning

confidence: 99%

“…Climate change effects have resulted in Xinjiang experiencing a change in climate after 1987 from a warm-dry climate to a warmwet climate [34,35]. Simultaneously, population growth, social development [36,37], and the implementation of a large number of ecological restoration policies, including the Three-North Shelterbelt Forest Project (TNSP), Grain for Green Program (GGP), Comprehensive Control Project in Tarim River Basin (CCPT), and the Ten Forests Project in Xinjiang (TFP), has resulted in considerable changes to the ecological environment of the region, especially after 2000 [16,18,31,38]. However, few studies have been conducted to analyze how these factors affect vegetation variances in Xinjiang, especially for different anthropogenic factors.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Spatiotemporal Evolution of Anthropogenic Impacts on Remotely Sensed Vegetation Dynamics in Xinjiang, China

Guan

Yao

et al. 2021

Remote Sensing

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The dynamics of the ecosystem represented by vegetation under the influence of human activities have become an important issue in the study of the regional ecological environment. Xinjiang is one of the most ecologically fragile areas in the world, and vegetation changes have received extensive attention. Xinjiang is one of the most ecologically fragile areas in the world, and vegetation changes have received extensive attention. However, the spatiotemporal patterns and evolutionary trends of anthropogenic impacts on vegetation dynamics in Xinjiang are still unclear. In this study, the anthropogenic impacts on vegetation dynamics were quantitatively assessed by combining the improved normalized difference vegetation index (NDVI) prediction model and the residual analysis method in Xinjiang, China. The human driving factors were analyzed with the support of a stepwise multiple regression model for vegetation changes at the county scale. Based on trend analysis and the Hurst exponent, the spatiotemporal characteristics and evolutionary trends of the impact of human activities on vegetation change were discussed. The results show that (1) the NDVI values in Xinjiang showed a gradually increasing trend at a rate of 0.005/10 years from 1982 to 2018, and the vegetation dynamics mainly showed significant improvements (57.09% of the vegetated areas), especially for crops. (2) The anthropogenic effects of vegetation changes in Xinjiang mainly included positive impact increases (43.22% of the vegetated areas) from 2000 to 2018. Human activities promoted the increase in the NDVI of various vegetation types. Both the positive and negative impacts of human activities increased over the study period, and the growth rate of the positive influence (0.08%/10 years) was higher than that of the negative influence (0.04%/10 years). (3) The cultivated area, GDP of primary industry, and population are the main anthropogenic factors causing the increase in NDVI, which dominate the vegetation greening in 30.34%, 29.22%, and 28.09% of the counties in Xinjiang, respectively. The animal husbandry population, agricultural population, and livestock number are the main anthropogenic factors causing the decrease in NDVI, which dominate the vegetation degradation in 23.60%, 21.35%, and 17.98% of the counties in Xinjiang, respectively. (4) The evolutionary trend of the anthropogenic impact on vegetation dynamics in Xinjiang will be dominated by anti-persistence (53.84% of the vegetated areas), thereby mainly showing that the positive impacts continued to increase (22.56% of the vegetated areas), especially for crops, shrubs, grasslands, and alpine vegetation. Our results are helpful in understanding the characteristics and evolutionary trends of vegetation changes in arid areas caused by human activities and are of significance as a reference for policymakers to appropriately adjust policy guidance in a timely manner to promote the protection and sustainable development of fragile ecosystems.

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The effects of climate factors and human activities on net primary productivity in Xinjiang

Cited by 35 publications

References 47 publications

Simulation and Analysis of the Effects of Land Use and Climate Change on Carbon Dynamics in the Wuhan City Circle Area

Simulation and Analysis of the Effects of Land Use and Climate Change on Carbon Dynamics in the Wuhan City Circle Area

Vegetation response to climate zone dynamics and its impacts on surface soil water content and albedo in China

Assessing the Spatiotemporal Evolution of Anthropogenic Impacts on Remotely Sensed Vegetation Dynamics in Xinjiang, China

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