[Response of root dynamics to nitrogen addition and the influencing factors in a Tibetan alpine steppe, China]. / é’è—é«˜åŽŸé«˜å¯’è‰åŽŸæ ¹ç³»åŠ¨æ€å¯¹æ°®æ·»åŠ çš„å“åº”åŠå ¶è°ƒæŽ§å› ç´ .

A field manipulative experiment was carried out during 2015 and 2016 to examine the changes and influencing factors of root production, turnover rate, and standing crop under different nitrogen (N) addition levels, i.e., 0, 1, 2, 4, 8 and 16 g N·m-2·a-1, in a Tibetan alpine steppe. The results showed that root production and standing crop decreased linearly or exponentially with increasing N addition rates. Compared with control, 16 g N·m-2·a-1 significantly reduced the two-year average root production and standing crop by 43.0% and 45.7%, respectively. Root turnover rate increased first and then decreased along the N addition gradient, with the maximum appearing under 2 and 4 g N·m-2·a-1 treatments for 2015 and 2016, respectively. Results from linear mixed-effects models showed that root starch content was the main factor modulating the N-induced changes in root production and turnover rate, explaining 21.7% and 25.4% of their variations. Root protein content mainly contributed to the variations in standing crop, with an explanation of 20.8% of its variance. Overall, N addition had negative effect on root production and standing crop, and low N promoted while high N inhibited root turnover rate. Root metabolic parameters were the main factors modulating the N-induced changes in root dynamics.

[Ecological quality assessment of Xiongan New Area based on remote sensing ecological index]. / 基于遥感生态指数的雄安新区生态质量评估.

The continuous urbanization leads to increasing pressure on the ecological environment. It is a key point to measure regional ecological environment quality objectively, accurately and quickly from multiple directions in ecological research. In this study, the normalized vegetation index (NDVI), wet index (WET), land surface temperature (LST), and normalized difference building-soil index (NDBSI) were extracted from the aspects of greenness, humidity, heat and dryness. The ecological quality of Xiongan New Area between 1995 and 2015 was evaluated by integrating selected indicators to measure the remote sensing ecological index (RSEI) with principal component analysis technology based on ENVI platform. The results showed that the average RSEI of Xiongan New Area was 0.724, 0.710, and 0.682 in 1995, 2004 and 2015, respectively, showing a downward trend. RSEI mainly changed from 4, 5 to 1, 2 and 3 in the study area from 1995 to 2015. Ecological quality improved and deteriorated area accounted for 8.9% and 20.9% of the total area respectively. The ecological quality improved area was mainly located in the east and south of Xiongxian County, because a large area of forests and gardens was highly valued and strictly protected by the local government. The ecological quality deteriorated area was in the periphery of the town and the surrounding area of Baiyangdian due to the sharp decline of the water area of Baiyangdian and the continuous urbanization. The three-year average correlation coefficient between RSEI and each component index was 0.804, which was higher than that between other component indices. Our results showed that RSEI could efficiently integrate the information of each component index and comprehensively and accurately reflect the ecological quality of the study area.

[Assessment and early warning of land ecological security in rapidly urbanizing coastal area: A case study of Caofeidian new district, Hebei, China].

Assessment and early warning of land ecological security (LES) in rapidly urbanizing coastal area is an important issue to ensure sustainable land use and effective maintenance of land ecological security. In this study, an index system for the land ecological security of Caofeidian new district was established based on the Pressure-State-Response (P-S-R) model. Initial assessment units of 1 km x 1 km created with the remote sensing data and GIS methods were spatially interpolated to a fine pixel size of 30 m x 30 m, which were combined with the early warning method (using classification tree method) to evaluate the land ecological security of Caofeidian in 2005 and 2013. The early warning level was classed into four categories: security with degradation potential, sub-security with slow degradation, sub-security with rapid degradation, and insecurity. Result indicated that, from 2005 to 2013, the average LES of Caofeidian dropped from 0.55 to 0.52, indicating a degradation of land ecological security from medium security level to medium-low security level. The areas at the levels of insecurity with rapid degradation were mainly located in the rapid urbanization areas, illustrating that rapid expansion of urban construction land was the key factor to the deterioration of the regional land ecological security. Industrial District, Shilihai town and Nanpu saltern, in which the lands at the levels of insecurity and sub-security with rapid degradation or slow degradation accounted for 58.3%, 98.9% and 81.2% of their respective districts, were at the stage of high early warning. Thus, land ecological security regulation for these districts should be strengthened in near future. The study could provide a reference for land use planning and ecological protection of Caofeidian new district.