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Yuefen Li
Key Laboratory of Mineral Resources Evaluation in Northeast Asia, Ministry of Land and Resources, Changchun 130061, China

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Journal article
Published: 10 August 2021 in Sustainability
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Dynamic change in vegetation is an integral component of terrestrial ecosystems, which has become a significant research area in the current context of global climate warming. Jilin Province in northeast China is an ecologically fragile area, and there is an urgent need to understand its vegetation changes and responses to both climatic factors and human activities. The normalized difference vegetation index (NDVI) was used to analyze trends in vegetation growth, and indicated significant growth overall. The NDVI of different vegetation cover types is increasing, indicating that the vegetation is continuously greening, and in descending order, the growth trends were grassland (0.0035/year) > permanent wetland (0.0028/year) > cropland (0.0027/year) > forest land (0.0022/year) > barren land (−0.0001/year). Grassland and cropland vegetation types included the most severely degraded areas, with fluctuating NDVI values. Precipitation was the main positive controlling climatic factor of NDVI in the western regions of the study area, while average temperature was the main factor in the eastern regions. Precipitation was the main climatic control factor for grassland and cropland, while forest land was limited by precipitation and average temperature. Barren land and permanent wetland were slightly negatively correlated with precipitation. From 2000 to 2019, the residual values for NDVI increased from −0.0121 to 0.0116, and the impact of human activities on vegetation changed from negative to positive. By 2019, the proportion of positively affected zones was as high as 94.01%, and the negatively affected zones were mainly distributed across transitional areas of cropland and grassland, and urban and built-up land and forest land.

ACS Style

Ying Li; Zhibo Zhao; Lingzhi Wang; Guanghui Li; Lei Chang; Yuefen Li. Vegetation Changes in Response to Climatic Factors and Human Activities in Jilin Province, China, 2000–2019. Sustainability 2021, 13, 8956 .

AMA Style

Ying Li, Zhibo Zhao, Lingzhi Wang, Guanghui Li, Lei Chang, Yuefen Li. Vegetation Changes in Response to Climatic Factors and Human Activities in Jilin Province, China, 2000–2019. Sustainability. 2021; 13 (16):8956.

Chicago/Turabian Style

Ying Li; Zhibo Zhao; Lingzhi Wang; Guanghui Li; Lei Chang; Yuefen Li. 2021. "Vegetation Changes in Response to Climatic Factors and Human Activities in Jilin Province, China, 2000–2019." Sustainability 13, no. 16: 8956.

Journal article
Published: 01 March 2021 in PeerJ
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Despite considerable tolerance to salt and alkali stress, Leymus chinensis populations on the southwestern Songnen Plain in northern China are threatened by increasing soil salinity and alkalinity. To explore the species’ responses to saline-alkali stress, we grew it in substrates with varying concentrations of nitrogen (N) and phosphorus (P) while applying varying levels of saline-alkali stress (increasing in 14-, 17- or 23 -day intervals). We measured the plants’ contents of N and P, and the N:P ratio, and calculated their homeostasis indices (HN , HP and HN:P ) under each nutrient and saline-alkali stress treatment. The N content was found to be more sensitive to saline-alkali stress than the P content. The N and P contents were highest and the N:P ratio was stable at pH 8.4. At both pH 8.1 and 8.4, H N:P> H N > H P, but the indices and their relations differed at other pH values. Exposure to saline-alkali stress for the 14-day incremental interval had weaker effects on the plants. Rapid changes in salinity-alkalinity weakened both the positive effects of the weakly alkaline conditions (pH 7.5–8.4) and the negative effects of more strongly alkaline conditions (pH 8.7 or 9.3) on L. chinensis. When L. chinensis plants lack N, applying N fertilizer will be extremely efficient. The optimal concentrations of N and P appeared to be 16 and 1.2 mmol/L, respectively. When the L. chinensis plants were N- and P-limited, the specific growth rate correlated positively with N:P, when limited by N it correlated positively with the environmental N concentration, and when limited by P it was weakly positively correlated with the environmental P concentration.

ACS Style

Shujie Li; Yujin Huang; Yuefen Li. Homeostatic responses and growth of Leymus chinensis under incrementally increasing saline-alkali stress. PeerJ 2021, 9, e10768 .

AMA Style

Shujie Li, Yujin Huang, Yuefen Li. Homeostatic responses and growth of Leymus chinensis under incrementally increasing saline-alkali stress. PeerJ. 2021; 9 ():e10768.

Chicago/Turabian Style

Shujie Li; Yujin Huang; Yuefen Li. 2021. "Homeostatic responses and growth of Leymus chinensis under incrementally increasing saline-alkali stress." PeerJ 9, no. : e10768.

Research article
Published: 02 July 2020 in Journal of Environmental Management
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Urbanization-induced cultivated land degradation can hamper the ability of peri-urban agriculture (PUA) to deliver clean food and agroecosystem services. Detailed geo-information about which cultivated lands are being influenced by urbanization will be important to designing future measures for the conservation of PUA. This information will be especially relevant for traditional grain bases because PUA is often underappreciated in these regions. For this reason, we performed a multi-faceted and location-specific assessment, including soil pollution, soil fertility, basic tillage conditions and land fragmentation, of cultivated land in a rural-urban transition zone outside of a city in northeast China. We also illustrated the combined risks in different urbanized environments via GIS-based two-step spatial clustering. The results indicated that, in general, cultivated lands were more polluted and fragmented, as well as less fertile and tillable, the closer they were to the urban area. Most of the affected cultivated lands were located within 8 km of the urban periphery. Furthermore, certain urban environments exposed the surrounding cultivated lands to specific degradation in relation to different combined risks. PUA in long-standing industrial areas mainly faced risks of polluted agricultural production, underutilization and impaired landscape ecological security (LES), whereas cultivated lands close to a recently developed residential area were characterized by risks of supplying service disruption, unsustainable agricultural production, underutilization and impaired LES. The present study highlighted that PUA associated with traditional grain bases must be preserved to enhance urban sustainability and resilience, and suggests that measures which can adapt to multi-faceted local degradation issues will be the most effective protection for peri-urban areas. Furthermore, the results also suggest that multi-functional and profitable agriculture will contribute to breaking the vicious circle of land degradation in peri-urban cultivated areas of traditional grain bases.

ACS Style

Wenbo Li; Dongyan Wang; Yuefen Li; Yuanli Zhu; Jingying Wang; Jiamin Ma. A multi-faceted, location-specific assessment of land degradation threats to peri-urban agriculture at a traditional grain base in northeastern China. Journal of Environmental Management 2020, 271, 111000 .

AMA Style

Wenbo Li, Dongyan Wang, Yuefen Li, Yuanli Zhu, Jingying Wang, Jiamin Ma. A multi-faceted, location-specific assessment of land degradation threats to peri-urban agriculture at a traditional grain base in northeastern China. Journal of Environmental Management. 2020; 271 ():111000.

Chicago/Turabian Style

Wenbo Li; Dongyan Wang; Yuefen Li; Yuanli Zhu; Jingying Wang; Jiamin Ma. 2020. "A multi-faceted, location-specific assessment of land degradation threats to peri-urban agriculture at a traditional grain base in northeastern China." Journal of Environmental Management 271, no. : 111000.

Journal article
Published: 21 May 2020 in Sustainability
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Soil salinization poses severe threats to grassland ecosystems in various parts of the world, including the Songnen Plain in northeast China. Severe impairment of plant growth in this soil is generally attributed to high soil pH, total alkalinity, and sodium (Na) contents. This paper focuses on the ecological stoichiometry of microelements, which has received much less attention than relations of macroelements, in the soil and plants (specifically Leymus chinensis) growing in it. The results show that the soil’s manganese (Mn), zinc (Zn), iron (Fe), copper (Cu), nickel (Ni) and molybdenum (Mo) contents are lower than average in Chinese soils, but only Mn and Zn are severely deficient in L. chinensis. With increases in soil pH, total alkalinity, and Na, the Mo contents in both soil and L. chinensis slightly increase, while contents of the other microelements decline. Homeostasis indices obtained for the six microelements—and Fe/Zn, Fe/Ni, Fe/Cu, and Cu/Zn ratios—were all between 0.82 and 3.34 (ranging from just below the “plastic” threshold to “weakly homeostatic”). Despite Zn deficiency in the soil, Zn appears to have the highest homeostasis of the six elements in L. chinensis (homeostasis indices of Zn, Cu, Ni, Mn, Fe and Mo were 3.34, 2.54, 1.86, 1.76, 1.52, and 1.33, respectively). In addition, the Cu/Zn ratio had the highest homeostasis index (1.85), followed by Fe/Zn (1.02), Fe/Cu (0.95) and Fe/Ni (0.82). Appropriate application of Mn and Zn fertilizers is recommended to promote the growth and development of L. chinensis in soda saline-alkali soil.

ACS Style

Yuefen Li; Heyang Gong; Shujie Li; Yushu Zhang. Ecological Stoichiometry Homeostasis of Six Microelements in Leymus chinensis Growing in Soda Saline-Alkali Soil. Sustainability 2020, 12, 4226 .

AMA Style

Yuefen Li, Heyang Gong, Shujie Li, Yushu Zhang. Ecological Stoichiometry Homeostasis of Six Microelements in Leymus chinensis Growing in Soda Saline-Alkali Soil. Sustainability. 2020; 12 (10):4226.

Chicago/Turabian Style

Yuefen Li; Heyang Gong; Shujie Li; Yushu Zhang. 2020. "Ecological Stoichiometry Homeostasis of Six Microelements in Leymus chinensis Growing in Soda Saline-Alkali Soil." Sustainability 12, no. 10: 4226.

Journal article
Published: 07 September 2018 in Ecotoxicology and Environmental Safety
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Soil salinization is a major cause of land degradation and hinders the effective utilization of agricultural land resources. Leymus chinensis (L. chinensis), as a dominant species with wide ecological amplitude, plays an important role in improving saline-alkali grasslands and indicating the degree of salinization. In this study, a sand culture experiment (nitrogen and phosphorus addition accompanied by saline-alkali stress) was designed to investigate the impact of different saline-alkali environments on the ecological stoichiometric homeostasis of L. chinensis with the aim of elucidating the saline-alkali resistance mechanisms. The results showed that the homeostasis indexes of N, P and N:P in the aboveground part of L. chinensis were generally higher than those in the belowground part under different saline-alkali conditions. Furthermore, the homeostasis index of N (HN) was greater than that of P (HP) in the aboveground part, whereas HN was less than HP in the belowground part. This indicates that the growth aboveground of L. chinensis was mainly dependent on N, whereas the growth belowground was mainly affected by P. The homeostasis index of the aboveground organs was 4.45–12.93 under pH 7–9.8. In contrast, HN and HN:P(+N) in the belowground organs did not conform to a homeostasis model when pH > 9.1. Consequently, when L. chinensis is subjected to high saline-alkali stress, the homeostasis reaction of the roots is more sensitive than that of the aboveground organs.

ACS Style

Yuefen Li; Qingyu Li; Hongshan Liu; Shujie Li; Yuejiao Wang; Yi Liu. Ecological stoichiometry-based study of the influence of soil saline-alkali stress on nutrient homeostasis in L. chinensis. Ecotoxicology and Environmental Safety 2018, 165, 243 -249.

AMA Style

Yuefen Li, Qingyu Li, Hongshan Liu, Shujie Li, Yuejiao Wang, Yi Liu. Ecological stoichiometry-based study of the influence of soil saline-alkali stress on nutrient homeostasis in L. chinensis. Ecotoxicology and Environmental Safety. 2018; 165 ():243-249.

Chicago/Turabian Style

Yuefen Li; Qingyu Li; Hongshan Liu; Shujie Li; Yuejiao Wang; Yi Liu. 2018. "Ecological stoichiometry-based study of the influence of soil saline-alkali stress on nutrient homeostasis in L. chinensis." Ecotoxicology and Environmental Safety 165, no. : 243-249.

Journal article
Published: 01 May 2017 in Journal of Environmental Management
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The grasslands of Western Jilin Province in China have experienced severe degradation during the last 50 years. Radial basis function neural networks (RBFNN) and support vector machines (SVM) were used to predict the carbon, nitrogen, and phosphorus contents of Leymus chinensis (L. chinensis) and explore the degree of grassland degradation using the matter-element extension model. Both RBFNN and SVM demonstrated good prediction accuracy. The results indicated that there was severe degradation, as samples were mainly concentrated in the 3rd and 4th levels. The growth of L. chinensis was shown to be limited by either nitrogen, phosphorus, or both during different stages of degradation. The soil chemistry changed noticeably as degradation aggravated, which represents a destabilization of L. chinensis community homeostasis. Soil salinization aggravates soil nutrient loss and decreases the bioavailability of soil nutrients. This, along with the destabilization of C/N, C/P and N/P ratios, weakens the photosynthetic ability and productivity of L. chinensis. This conclusion was supported by observations that L. chinensis is gradually being replaced by a Chloris virgata, Puccinellia tenuiflora and Suaeda acuminate mixed community.

ACS Style

Yuefen Li; Shuo Liang; Yiying Zhao; Wenbo Li; Yuejiao Wang. Machine learning for the prediction of L. chinensis carbon, nitrogen and phosphorus contents and understanding of mechanisms underlying grassland degradation. Journal of Environmental Management 2017, 192, 116 -123.

AMA Style

Yuefen Li, Shuo Liang, Yiying Zhao, Wenbo Li, Yuejiao Wang. Machine learning for the prediction of L. chinensis carbon, nitrogen and phosphorus contents and understanding of mechanisms underlying grassland degradation. Journal of Environmental Management. 2017; 192 ():116-123.

Chicago/Turabian Style

Yuefen Li; Shuo Liang; Yiying Zhao; Wenbo Li; Yuejiao Wang. 2017. "Machine learning for the prediction of L. chinensis carbon, nitrogen and phosphorus contents and understanding of mechanisms underlying grassland degradation." Journal of Environmental Management 192, no. : 116-123.