Ecological sustainability assessment of the carbon footprint in Fujian Province, southeast China

Zeng, Jiali; Zhang, Rongrong; Tang, Jia; Liang, Jingchen; Li, Jinghan; Zeng, Yuehua; Li, Yefan; Zhang, Qing; Shui, Wei; Wang, Qianfeng

doi:10.1007/s11707-020-0815-3

Cited by 20 publications

(8 citation statements)

References 49 publications

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“…In Equation (5), SR max and SR min are the maximum and minimum SR values of the corresponding vegetation types, respectively.…”

Section: Casa Modelmentioning

confidence: 99%

“…The net primary productivity (NPP) of vegetation, the amount of organic matter accumulated by green plants in unit time and unit area, directly reflects the productivity of a plant community. The NPP can determine the carbon sources and sinks in an ecosystem; thus, it plays a very important role in the global change and carbon balances [1][2][3][4][5][6]. Evaluating the change in the vegetation, NPP cannot only help us understand the changes in vegetation NPP, but also further evaluate the ecosystem health [7].…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear Characteristics of NPP Based on Ensemble Empirical Mode Decomposition from 1982 to 2015—A Case Study of Six Coastal Provinces in Southeast China

et al. 2021

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Monitoring vegetation net primary productivity (NPP) is very important for evaluating ecosystem health. However, the nonlinear characteristics of the vegetation NPP remain unclear in the six provinces along the Maritime Silk Road in China. In this study, using NDVI and meteorological data from 1982 to 2015, NPP was estimated with the Carnegie-Ames-Stanford Approach (CASA) model based on vegetation type dynamics, and its nonlinear characteristics were explored through the ensemble empirical mode decomposition (EEMD) method. The results showed that: (1) The total NPP in the changed vegetation types caused by ecological engineering and urbanization increased but decreased in those caused by agricultural reclamation and vegetation destruction, (2) the vegetation NPP was dominated by interannual variations, mainly in the middle of the study area, while by long-term trends, mainly in the southwest and northeast, (3) for most of the vegetation types, NPP was dominated by the monotonically increasing trend. Although vegetation NPP in the urban land mainly showed a decreasing trend (monotonic decrease and decrease from increase), there were large areas in which NPP increased from decreasing. Although vegetation NPP in the farmland mainly showed increasing trends, there were large areas that faced the risk of NPP decreasing; (4) dynamical changes of vegetation type by agricultural reclamation and vegetation destruction made the NPP trend monotonically decrease in large areas, leading to ecosystem degradation, while those caused by urbanization and ecological engineering mainly made the NPP increase from decreasing, leading to later recovery from early degradation. Our results highlighted the importance of vegetation type dynamics for accurately estimating vegetation NPP, as well as for assessing their impacts, and the importance of nonlinear analysis for deepening our understanding of vegetation NPP changes.

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“…In Equation (5), SR max and SR min are the maximum and minimum SR values of the corresponding vegetation types, respectively.…”

Section: Casa Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nonlinear Characteristics of NPP Based on Ensemble Empirical Mode Decomposition from 1982 to 2015—A Case Study of Six Coastal Provinces in Southeast China

et al. 2021

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“…The Mann–Kendell (MK) method is widely used in meteorology, ecology, environmental research 51 – 54 . It is a nonparametric test method 55 , 56 .…”

Section: Methodsmentioning

confidence: 99%

An improved global vegetation health index dataset in detecting vegetation drought

Zeng

Zhou

et al. 2023

Sci Data

Self Cite

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Due to global warming, drought events have become more frequent, which resulted in aggravated crop failures, food shortage, larger and more energetic wildfires, and have seriously affected socio-economic development and agricultural production. In this study, a global long-term (1981–2021), high-resolution (4 km) improved vegetation health index (VHI) dataset integrating climate, vegetation and soil moisture was developed. Based on drought records from the Emergency Event Database, we compared the detection efficiency of the VHI before and after its improvement in the occurrence and scope of observed drought events. The global drought detection efficiency of the improved high-resolution VHI dataset reached values as high as 85%, which is 14% higher than the original VHI dataset. The improved VHI dataset was also more sensitive to mild droughts and more accurate regarding the extent of droughts. This improved dataset can play an important role in long-term drought monitoring but also has the potential to assess the impact of drought on the agricultural, forestry, ecological and environmental sectors.

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“…Fujian Province (115°50′-120°40′E ,23°33′-28°20′N) is located in the southeastern coastal region of China, bordering Zhejiang Province, Jiangxi Province and Guangdong Province. The province has jurisdiction over nine municipalities, including Fuzhou, Xiamen, Zhangzhou, Quanzhou, Sanming, Putian, Nanping, Longyan, and Ningde, with an area of about 124,000 km 2 and a resident population of 41.61 million (as of 2020) [23]. The terrain in Fujian province is complex, with river valleys and basins in the central and western parts, hills and coastal plains along the eastern coast, and generally high in the northwest and low in the southeast.…”

Section: Study Areamentioning

confidence: 99%

Analysis of the Coupled Assessment of Ecosystem Health and Its Spatial and Temporal Evolution in Fujian China

Cao¹,

Tang²,

Wang³

et al. 2023

Preprint

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As the first pilot ecological civilization zone in China, Fujian Province has an excellent ecological environment quality, and its ecological environment-related indices continue to be among the highest in the country. In order to investigate the causes of the excellent ecological quality in Fujian Province in the past 15 years, this paper selects MODIS images, land use data and provincial and municipal statistical yearbook data of Fujian province from 2005 to 2020 as data sources, evaluates the ecological system health of Fujian Province by remote-sensing ecological index (i.e. RSEI), constructs the land use intensity system of Fujian Province at the same time, and uses a coupled coordination model to analyze the coupling between RSEI and The coupled coordination model was used to analyze the coupling relationship between RSEI and land use intensity, and finally the spatial and temporal evolution of ecological health in Fujian Province from 2005 to 2020 was analyzed. The results show that the coupled coordination between land use intensity and ecosystem health in Fujian province showed a continuous increase between 2005 and 2020, especially in Ningde, where the increase was most significant, from 0.0993 to 0.963, this pattern of spatial distribution is lower in the south-eastern coastal region than in the north-western interior, higher in the south-western region than in the north-western region, and higher in the north-eastern region than in the south-eastern region. In terms of the type of role, the land use intensity of most cities in Fujian Province in 2005 played an obvious role in blocking the degree of ecosystem health, but as time changed, urban land use continued to be optimized and reached moderate or even high quality coordination with the quality of the ecological environment, but Xiamen City developed relatively slowly and its 2020 coupling degree value was 0.315, which was still in mild disorder. This study fills a gap in the research mechanism of the interaction between the degree of ecosystem health and land use intensity, and also provides a new perspective for the construction of ecological civilization and the assessment of the degree of ecosystem health in Fujian Province and the whole country.

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Ecological sustainability assessment of the carbon footprint in Fujian Province, southeast China

Cited by 20 publications

References 49 publications

Nonlinear Characteristics of NPP Based on Ensemble Empirical Mode Decomposition from 1982 to 2015—A Case Study of Six Coastal Provinces in Southeast China

Nonlinear Characteristics of NPP Based on Ensemble Empirical Mode Decomposition from 1982 to 2015—A Case Study of Six Coastal Provinces in Southeast China

An improved global vegetation health index dataset in detecting vegetation drought

Analysis of the Coupled Assessment of Ecosystem Health and Its Spatial and Temporal Evolution in Fujian China

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