LIU Ruosha, WANG Dongmei, YANG Hailong, HE Kangning, ZHANG Xue, WEN Wenjie
Vegetation ecological function evaluation and optimization measures in the Loess Alpine Region of Qinghai
[Background] In order to quantitatively analyze the ecological function of the de-farming vegetation in the Loess Alpine Region of Qinghai, the optimal measures for the vegetation in this region were discussed. [Methods] In this paper, the frequency analysis method and expert scoring method were used to construct the evaluation system of vegetation ecological function index. The comprehensive evaluation of vegetation ecological function was carried out by using analytic hierarchy process method, the vegetation health status and degradation reasons were analyzed, and the vegetation optimization measures were proposed. [Results] 1) The mixed forest of Picea crassifolia, Populus cathayana and Larix principis-rupprechii on the middle altitude and gentle shady slope had the highest comprehensive score of 0.637 2; the mixed forest of P. crassifolia and P. cathayana on the low altitude and gentle sunny slope had the lowest comprehensive score of 0.189 8. 2) Among the 68 kinds of de-farming vegetations in the study area, 7 kinds of shade slope vegetations were healthy, 8 kinds of sunny slope vegetations and total 18 kinds of shade slope vegetation were sub-healthy, and 13 kinds of sunny slope vegetations and total 22 kinds of shade slope vegetations were unhealthy level. 3) The vegetations on the sunny slope had problems of slow growth, high stand density and single structure; and the main dominant species were Sabina przewalskii, Pinus tabuliformis, Caragana korshinskii and Armeniaca sibirica. The shady slope was in problems such as high stand density, simple structure and pests diseases; and the main dominant species were P. crassifolia, Betula platyphylla, L. principis-rupprechii, P. cathayana and Hippophae rhamnoides. [Conclusions] The results of this study showed that about half of the de-farming vegetation was in poor ecological function and in an unhealthy state. It is suggested that thinning should be done in vegetation types with high stand density, also thinning vegetation types with diseases and insect pests and replanting dominant species to realize gradual replacement, and the vegetation types with single stand structure should be replanted with other dominant species to enrich the stand structure.
Effects of arbuscular mycorrhizal fungi on the root morphology of Zenia insignis in karst soil habitat
[Background] In the karst region of Southwest China, where is characterized with the fragile ecological environment, the bedrock is bare and soil is shallow, vegetation recovery is difficult. A symbiotic relationship between arbuscular mycorrhizal fungi(AMF) and plants, which is an adaptation strategy by root morphological changes, to cope with nutrient stress by increasing plant nutrient use efficiency. The objective of this study is to provide a microbial interference pathway for vegetation restoration, soil and water conservation. Meanwhile, it would provide the basis for screening dominant strains in karst region. [Methods]Zenia insignis is a common afforestation species in limestone areas of Southwest China. We used AMF Funneliformis mosseae, Rhizoglomus intraradices and mixed mycorrhizal fungi(Mi) to inoculate Z. insignis seedlings. The effects of mycorrhizal fungi on root morphology of Z. insignis seedlings in different nutrient condition of karst soil habitats were studied after 150 d of cultivation. [Results] 1)In nutrient-poor karst soil habitat, Z. insignis inoculated with F.mosseae showed the highest colonization rate and high-intensity mycorrhizal dependency. F.mosseae significantly increased the root biomass, total root length, total root surface area, total root volume and average root diameter by 460.49%, 233.91%, 258.99%, 293.04% and 9.29%, respectively. Z. insignis inoculated with R.intraradices reduced root biomass, total root length, total root surface area and total root volume by 10.49%, 46.67%, 42.70% and 39.30%, respectively. At the same time, the average root diameter increased 6.14%, which showed no significant difference from the control. Z. insignis inoculated with Mi significantly increased the average root diameter. While the influence on root biomass, total root length, total root surface area and total root volume was between single inoculations. 2) In nutrient-rich karst soil, Z.insignis inoculated with F.mosseae significantly increased root biomass, total root length, total root surface area, total root volume and average root diameter by 138.04%, 28.51%, 50.79%, 76.37% and 20.71%, respectively, which was significantly lower than that by F. mosseae treatment in low nutrient karst soil habitat except for average root diameter. When inoculated with R.intraradices, root biomass, total root length, total root surface area, total root volume and average root diameter significantly increased by 128.62%, 57.30%, 66.27%, 75.68% and 8.63%, respectively. There was significant difference from the R.intraradices inoculation in low nutrient karst soil habitat except for average root diameter. Mi treatment increased root biomass, total root length, total root surface area, total root volume and average root diameter by 51.45%, 39.79%, 38.89%, 36.99% and 1.29%, respectively. [Conclusions] The AMF affect the root morphology of Z.insignis in the different nutrient conditions of karst soil habitats. Under the nutrient stress, F.mosseae is more conducive to changing root morphology, making the host plant easier to colonize and survive. Thus, F. mosseae can be used as a dominant strain for the intervention of mycorrhizal fungi for vegetation restoration in nutrient-poor karst soil habitat.
XIA Zhenyao, HONG Huan, GAO Feng, SHAO Yanyan, XIAO Hai, YANG Yueshu, LI Mingyi, XU Wennian
Influence of cement addition amount and maintenance duration on the erosion resistance for ecological restoration substrate
[Background] Engineering construction can not only promote social and economic development, but also easily cause various environmental geological problems, especially many exposed slopes caused by traffic, mining, hydropower, and other engineering construction. Artificial ecological restoration is carried out to limit the negative effects, and the cement is usually added as binder into the ecological restoration substrate to improve its erosion resistance, however, the effects of cement addition amounts and maintenance duration on the erosion resistance for ecological restoration substrate are still unclear. [Methods] The amounts of different cement (0, 2%, 4%, 6% and 8%) were added to per 100 kg of the yellow brown soil with 6% organic materials and 4% habitat substrate modifier improver. The uniformly mixed materials were packed in a self-made ring knife (105 mm in diameter and 50 mm in height) to obtain a bulk density of 1.35 g/cm3 and maintenance with different durations (0, 7, 15, 30 and 45 d). The scouring experiment was conducted to obtain detachment capacity under the hydraulic conditions of slope 20° and runoff 25 L/min, and the stability of soil aggregate was also tested. [Results] 1) The detachment capacity of the ecological restoration substrate gradually reduced with the increasing of the maintenance duration under the same amount of cement addition. The detachment capacity of ecological restoration substrate was large within the first 15 d and the first 7 d at the 2%, 4% and at 6%, 8% of cement addition amounts, respectively. In addition, the detachment capacity of the ecological restoration substrate also decreased with the increasing of cement addition amount and was characterized by a rapid decrease followed by a gradual decrease under the same maintenance duration. 2) The power functions well described the relationship between the detachment capacity of ecological restoration substrate and the maintenance duration under different amount of cement addition (R2>0.789). And the relationship between the detachment capacity of ecological restoration substrate and the cement addition amount also described by power functions for different maintenance duration (R2>0.861). 3) The Mean Weight Diameter (MWD) and Geometric Mean Diameter (GMD) for the ecological restoration substrate aggregates showed significantly difference within 0-15 d maintenance duration while no significantly difference after then. The MWD and GMD for the ecological restoration substrate aggregates showed significant difference between with and without cement addition, and significant difference was found within the 6% of cement addition amount while no significant difference between 6% and 8% of cement addition amount existed for most maintenance duration. The relationship between the detachment capacity of ecological restoration substrate and MWD and GMD can be described by using the power function. [Conclusions] The detachment capacity suppresses while the aggregate stability enhances after the cement added into the ecological restoration substrate.
Dynamic monitoring of ecological environment quality in Lijiang River Basin based on RSEI
[Background] The topography and geomorphology of Lijiang River Basin is complex and the basin area is wide. It is of great reference value to understand the ecological environment quality and changes of Lijiang River Basin for environmental protection. [Methods] In order to quickly and accurately obtain the ecological environment of Lijiang River Basin, the Landsat series of remote sensing images in the Lijiang River Basin in 1991, 2001, 2009 and 2019 were used to extract the Remote Sensing Ecological Index (RSEI) using principal component analysis. Multiple regression analysis was performed with the four index factors of greenness, humidity, dryness and heat. The correlation analysis between the change of RSEI index and the change of vegetation coverage has achieved the dynamic remote sensing dynamic monitoring of the ecological environment quality in the Lijiang River Basin in the past 30 years. [Results] The average values of RSEI in Lijiang River Basin in 1991, 2001, 2009, and 2019 were 0.534, 0.530, 0.662, and 0.625. In the past 30 years, the overall ecological environment quality has changed from "medium" to "good", and the overall ecology "better" area has reached 2 707.809 km2, mainly concentrated in the central and southern regions. The most obvious improvement period was from 2001 to 2009, in this period, the ecological area of "getting better" category reached 3 933.274 km2. The regression model analysis of the four index factors of greenness, humidity, heat and dryness and RSEI index showed that the four index factors all had important effects on the ecological environment quality of the Lijiang River Basin, among which the greenness index had the greatest impact and the humidity index had the least influential. Among the four index factors, the positive correlation between greenness and humidity and the RSEI index promoted the improvement of ecological environment quality, and the dryness and heat had a negative correlation with the RSEI index, which had an inhibitory effect on the improvement of the ecological environment. The four-year regression model coefficient showed that the index coefficient of dryness increased year by year, and the regression model coefficient of heat in 2019 reached 0.628. This indicated that the soil water content of the Lijiang River Basin was decreasing and the soil has a tendency to dry, and the 2019 heat index and dryness index were related to the Lijiang River. The comprehensive impact degree of the river basin ecological environment was greater than the greenness and humidity indicators. Through the three-gradient method, it is found that the regression coefficient R2 of the vegetation coverage change and the RSEI index in the whole period from 1991 to 2019 reached 0.890, showing a significant and positive linear correlation. [Conclusions] RSEI index can objectively mirror the dynamic changes of eco-environmental quality in Lijiang River Basin and provide decision support for regional eco-environmental quality.
WANG Jiaxi, DENG Jiayong, ZHANG Yan, SONG Xiaopeng, MA Rui
Effects of vegetation seasonal change on 3D laser survey in gullied region
[Background] With the vegetation restorating, vegetation in the hilly-gully region of the Loess Plateau has been gradually improving. However, due to the shelter of vegetation, the Digital Elevation Model (DEM) cannot well describe the real undulation of ground surface. But the vegetation in the hilly-gully region of the Loess Plateau are quite different between the growing season and the non-growing season, thus this study mainly analyzed the influence of vegetation seasonal changes on the production of high-precision DEMs. [Methods] This study took Qiaogou, Suide county, Shaanxi province as the typical hilly-gully region of the Loess Plateau. Three different sites were selected and surveyed by 3D laser scanning. Based on the point cloud obtained by 3D laser scanning in September and December 2018, after vegetation filtering and interpolating (Kriging or triangular irregular network, TIN), the difference of DEMs obtained by two surveys was compared and analyzed. [Results] 1) Vegetation seasonal change presented effects on point cloud surveyed by 3D laser scanner. The mean elevation of point cloud in Sept. was higher than that in Dec. by 0.22, 0.47 and 0.07 m in site A, B and C, respectively. That result was mainly from the vegetation seasonal changes. 2) Slope-based filtering increased the accuracy of DEM. The mean elevation of point cloud in Sept. after filtering was still higher than that in Dec. by 0.15 m, indicating the effects of vegetation seasonal change cannot be eliminated completely by slope-based filtering. 3) Compared with the Kriging, the DEM generated by the TIN was in high accuracy. The gully geomorphological parameters, e.g., gully length and gully depth obtained by Kriging method in Dec. were both often larger than those by TIN. This might result from that Kriging can roughly remove tall vegetation during the vegetation growing season and made the gully edges smooth during the non-growing season. The DEMs interpolated by TIN were closer to the real geomorphology than that by Kriging. [Conclusions] Seasonal change of vegetation shows certain effect on DEMs generation. Most of the vegetation can be removed by point cloud vegetation filtering algorithms, and the DEMs generated are closer to the real geomorphology. Regarding different DEMs interpolated methods, the accuracy of both Kriging and TIN can meet the needs of production and research but the accuracy of Kriging is less than that by TIN. The accuracy of DEMs can be effectively improved by choosing the non-growing season for point cloud survey and applying the appropriate vegetation filtering algorithms and interpolation.
Progress and prospect of soil water erosion research over past decade based on the bibliometrics analysis
[Background] Soil erosion is a grave threat to the sustainability of human society and economy. Soil water erosion, as a widespread soil erosion type in the world, is one of the main forms of soil degradation. In recent years, under the pressure of global climate change and frequent human disturbance, the risk of water erosion is further aggravated. However, the existing review articles in water erosion have not yet analyzed the literature publication dynamics and hot keyword evolution characteristics in recent years, and there is a lack of systematic collation of research hotspots in recent years. [Methods] Searching pattern in the Web of Science core collection database was Topic=soil water erosion or Topic=soil erosion by water or Topic=hydraulic erosion or Topic=soil hydraulic power erosion. This paper applied CiteSpace, a knowledge map tool, to conduct a bibliometric analysis of soil water erosion research from 2009 to 2018, revealing the literature output trends, subject distribution and hotspot keywords. [Results] There are 5 aspects on soil water erosion research in the past decade: 1) Spatial distribution models and stable isotope analysis methods have been widely used in recent years, and erosion models combined with modern information technology is an inevitable way to conduct multi-scale research. 2) Climate change has a great effect on runoff and water erosion by changing precipitation, CO2 concentration and temperature, and water erosion is affected by land use change for influencing on soil properties and surface runoff distribution simultaneously. 3) Water erosion causes significant effect on soil physical, chemical and biological properties, resulting in decline of agricultural productivity, non-point source pollution and deterioration of water quality occurs by sediment transport. Water erosion process significantly changes the lateral flow and redistribution of carbon, nitrogen, and phosphorus, affecting the biogeochemical cycle. 4) Soil water erosion is a multi-scale process with scale dependence. How to systematically study multi-scale water erosion process and its scale effect is the core issue that researchers concern. 5) The study of soil water erosion control has been extended from the plot scale to the regional, national and global scale. The researchers conducted targeted studies on engineering practices, biological practices, and soil management practices. The Loess Plateau is a hot spot area for water erosion control and sustainable development. [Conclusions] Regarding the future research of soil water erosion, on the basis of improving the simulation accuracy of soil erosion model and developing large-scale water erosion model, it is necessary to deepen the study of soil carbon cycle under water erosion, to innovate the scale conversion technology method of soil erosion analysis, and to gradually develop the theories and methodological system of soil water erosion prevention and control that adapts to complex environment and enhances human welfare and targets for sustainable development goals.