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Zhiping Fan
Institute of Eco-environmental Sciences, Liaoning Shihua University, No.1 Dandong West Road, Fushun 113001, China

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Journal article
Published: 28 June 2018 in Forests
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To understand the relative importance of plant community composition and plant-induced soil properties on N transformations, the soil N mineralization, ammonification and nitrification characteristics of natural secondary forests (Quercus mongolica-Juglans mandshurica forest: QJF, and Quercus mongolica-Populus davidiana forest: QPF) and the adjacent larch plantations (Larix kaempferi forest: LF1 and LF2) were studied during the growing season. All of the forest types showed seasonal dynamics of N mineralization rates. The total cumulative N mineralization was significantly higher in QPF (73.51 kg hm−2) than in LF1 (65.64 kg hm−2) and LF2 (67.51 kg hm−2) (p < 0.05). The total cumulative nitrification from May to November was significantly higher in QJF (65.16 kg hm−2) and QPF (64.87 kg hm−2) than in LF1 (52.62 kg hm−2) and FL2 (54.17 kg hm−2) (p < 0.05). Based on the variation partitioning, independent soil properties were the primary determinants of the N transformations (13.5%). Independent climate conditions explained 5.6% of the variations, while plant variations explained 3.2% of the variations in N transformations. We concluded that different forest types with various plant community compositions have different influences on the litterfall quantity and quality and the nutrient availability, and these differences interact with seasonal climate conditions that in turn drive the differences in N mineralization.

ACS Style

Qiong Wang; Fayun Li; Xiangmin Rong; Zhiping Fan. Plant-Soil Properties Associated with Nitrogen Mineralization: Effect of Conversion of Natural Secondary Forests to Larch Plantations in a Headwater Catchment in Northeast China. Forests 2018, 9, 386 .

AMA Style

Qiong Wang, Fayun Li, Xiangmin Rong, Zhiping Fan. Plant-Soil Properties Associated with Nitrogen Mineralization: Effect of Conversion of Natural Secondary Forests to Larch Plantations in a Headwater Catchment in Northeast China. Forests. 2018; 9 (7):386.

Chicago/Turabian Style

Qiong Wang; Fayun Li; Xiangmin Rong; Zhiping Fan. 2018. "Plant-Soil Properties Associated with Nitrogen Mineralization: Effect of Conversion of Natural Secondary Forests to Larch Plantations in a Headwater Catchment in Northeast China." Forests 9, no. 7: 386.

Journal article
Published: 01 January 2017 in Journal of Lake Sciences
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ACS Style

Wang Qiong; Lu Cong; Fan Zhiping; Li Fayun. Eutrophication and spatial distribution of N, P and chlorophyll-a in the Taizihe River Basin, Liaohe River Catchment. Journal of Lake Sciences 2017, 29, 297 -307.

AMA Style

Wang Qiong, Lu Cong, Fan Zhiping, Li Fayun. Eutrophication and spatial distribution of N, P and chlorophyll-a in the Taizihe River Basin, Liaohe River Catchment. Journal of Lake Sciences. 2017; 29 (2):297-307.

Chicago/Turabian Style

Wang Qiong; Lu Cong; Fan Zhiping; Li Fayun. 2017. "Eutrophication and spatial distribution of N, P and chlorophyll-a in the Taizihe River Basin, Liaohe River Catchment." Journal of Lake Sciences 29, no. 2: 297-307.

Journal article
Published: 21 October 2016 in International Journal of Environmental Research and Public Health
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Source apportionment of river water pollution is critical in water resource management and aquatic conservation. Comprehensive application of various GIS-based multivariate statistical methods was performed to analyze datasets (2009–2011) on water quality in the Liao River system (China). Cluster analysis (CA) classified the 12 months of the year into three groups (May–October, February–April and November–January) and the 66 sampling sites into three groups (groups A, B and C) based on similarities in water quality characteristics. Discriminant analysis (DA) determined that temperature, dissolved oxygen (DO), pH, chemical oxygen demand (CODMn), 5-day biochemical oxygen demand (BOD5), NH4+–N, total phosphorus (TP) and volatile phenols were significant variables affecting temporal variations, with 81.2% correct assignments. Principal component analysis (PCA) and positive matrix factorization (PMF) identified eight potential pollution factors for each part of the data structure, explaining more than 61% of the total variance. Oxygen-consuming organics from cropland and woodland runoff were the main latent pollution factor for group A. For group B, the main pollutants were oxygen-consuming organics, oil, nutrients and fecal matter. For group C, the evaluated pollutants primarily included oxygen-consuming organics, oil and toxic organics.

ACS Style

Jiabo Chen; Fayun Li; Zhiping Fan; Yanjie Wang. Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China. International Journal of Environmental Research and Public Health 2016, 13, 1035 .

AMA Style

Jiabo Chen, Fayun Li, Zhiping Fan, Yanjie Wang. Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China. International Journal of Environmental Research and Public Health. 2016; 13 (10):1035.

Chicago/Turabian Style

Jiabo Chen; Fayun Li; Zhiping Fan; Yanjie Wang. 2016. "Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China." International Journal of Environmental Research and Public Health 13, no. 10: 1035.