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\"Once a romanticized beacon of democracy, culture, and the arts, France has slowly slid further and further away from its historic image of liberty, equality and fraternity. The country is on the brink. With a precarious labor force facing dwindling wages, a right wing political surge that has resulted in drastic acts of Islamaphobia and Anti-Seminitism, and a media increasingly led by government cronies, France has entered an unprecedented era of social, political and economic turbulence. So, where is France heading, who runs it, and why does it matter? In Fixing France, French-Algerian journalist Nabila Ramdani gets to the very heart of a declining France racked with division. From the rise of Marine Le Pen to the segregated suburbs to the growing educational divide and wealth disparity, Ramdani offers a compelling and original critique of contemporary France. Deeply reported, the book is filled with interviews with senior public figures, including all presidents of the 21st century as well as with numerous ordinary French people who feel excluded by the powerbrokers and from the establishment institutions that run their lives. Yet, while Ramdani follows France's historical tradition of dissent, she simultaneously acknowledges that there is much to be hopeful about. What emerges is a true portrait of a country undergoing dramatic change and upheaval\"-- Provided by publisher.

The forest soil carbon pool plays a vital role in terrestrial ecosystems, being of great significance for maintaining global balance, regulating the global carbon cycle, and facilitating ecological restoration. Shandong Changyi Marine Ecological Special Protection Area is the only state-level marine special protection area in China with tamarisk as the main object of protection, and it is the largest continuous and the best preserved natural tamarisk forest distribution area on the mainland coast of China. Compared to other forested areas, research on the spatial distribution of SOC at the core area in coastal Tamarix forests’ inland side appears to be relatively scarce. Based on this, this paper takes the core area of the Changyi National Marine Ecological Special Protection Zone, located on the southern coast of Laizhou Bay, as the research subject, based on the potassium dichromate oxidation-external heating, one-way ANOVA, and Bonferroni methods, analyzing the spatial distribution of the SOC content inland of coastal Tamarix forests. The research yielded the following conclusions: (1) The surface layer (0–10 cm) contributes significantly to the total SOC content within a 0–60 cm depth, accounting for at least 31% and shows notable surface accumulation. (2) The combined SOC content in the surface and subsurface layers (10–20 cm) accounts for at least 50% of the total SOC content within a 0–60 cm depth, indicating the dominance of these two soil layers in carbon storage. (3) The SOC content decreases with the soil depth at all six sampling points within the 0–60 cm range, with a marked drop from 0–10 cm to 10–20 cm. (4) One-way ANOVA and multiple comparisons reveal that the soil depth significantly affects the SOC distribution, particularly between the surface and 20–30 cm layers (p < 0.001), indicating high robustness and statistical significance. (5) Horizontally, the total SOC at 0 m is 45% lower than at 2 m in the 0–60 cm layer. The SOC in the 0–20 cm layer fluctuates significantly with distance from the shrub trunk, while the SOC in the 30–60 cm layers is low and stable, with minimal variations with depth. In addition, this study found that the SOC content in the core area of the protected area is lower than that in the common forest ecosystem. In the future, scientific ecological restoration projects and management protection methods should be used to improve soil’s carbon storage and carbon sink capacity. These findings not only validate the patterns of SOC’s spatial distribution in coastal Tamarix forest wetlands but also provide a scientific basis for carbon assessment and the formulation of ecological protection measures in coastal wetlands.

For the implementation of lake ecological protection, understanding the water pollution status and spatio–temporal variation of water quality has become the most important thing for water safety in the basin. To analyze the water quality in recent years, water quality data in Erhai lake from 2013 to 2017 were first collected from typical nine monitoring stations. Based on the comprehensive water quality index (WQI) method, the temporal and spatial variation characteristics of water quality in Erhai lake were analyzed, and the main factors affecting water quality in Erhai lake were explored. The results indicated that the water quality of Erhai lake was worse than its target water quality, and total nitrogen (TN) and total phosphorus (TP) exceeded the Class Ⅱ standards (TN: 0.5 mg L , TP: 0.025 mg L ) of China’s Environmental Quality Standard for Surface Water (GB3838-2002). In terms of changes across seasons, the overall lake water quality in the dry season was better than that in the wet season, and TN and TP reached the peak value in September. In terms of spatial distribution, water quality of the northern area was better than that of the southern area in the dry season, whereas water quality of the southern area was better than that of the northern area in the wet season. At present, Erhai lake is at a critical turning point of water eutrophication, and its nutrition status is mainly affected by both nitrogen and phosphorus. The pollution load from the land area is the main factor affecting the deterioration of Erhai lake. Our results can provide a scientific basis for the treatment of the water environment of Erhai lake.

Terrain is an important environment factor that plays a vital role in human development by influencing the spatialla you to flanduse patterns.The terrain niche index,combined with slope and elevation,can comprehensively present detailed information about spatial differences interrain and is superior to single terrain factors.We applied remote sensing and geographical information system to terraing radient,used the non-dimensional distribution index to examine spatial distribution characteristics of variousl and scapetypes,and analyzed the ecological effects of lands cape were quantitatively on terrain gradients.Eco-environment quality(EEQ)was evaluated using the forestry operation area as the evaluation unit.The spatial distributions in various landscapes were significantly influenced by terrain factors,especially by bodies of water,cropland and residential land.The spatial distribution varied greatly in different terrain gradients for similar landscape types.The areas associated with good,intermediate and poor EEQ were occupied primarily by natural landscape,semi-natural and largely artificial landscapes,respectively.

Allotment gardens (AGs) are widely used in metropolitan areas around the world to offer agricultural opportunities to urban residents. However, there are not enough individual plots for residents to rent for urban gardening, and research on AGs from a city-wide perspective is ongoing. In addition, AGs have a long history in Tokyo, yet few international studies on the current situation of AGs have addressed Asian cities. Thus, this study intends to analyze the provision of AGs and its influencing factors in Tokyo. Using ArcGIS combined the 472-points dataset created by geo-coordinate mapping with urban GIS data to reveal spatial characteristics in four dimensions. Results demonstrate that most AGs are in the urbanization promotion area; most municipalities have AGs; AGs are concentrated within 20 to 30 km from the center of Tokyo; the AGs’ clusters are located at the municipal boundaries. We conducted multiple regressions to determine the influencing factors at the municipal level, with the provision that AGs are related to population density, land price, and the ratio of productive green space. The policy implication of this study is that policymakers need to consider the siting strategy of AGs based on spatial characteristics of AGs.

With the rapid development of urban scale and the rapid expansion of urban population, the urban heat island effect caused by the rapid increase of urban anthropogenic heat emissions has gradually become an important factor that seriously affects urban living environment and residents' health. This study uses the Landsat TM5 and Landsat 8OLI_TIRS remote sensing data from 2000, 2006, 2013 and 2018 to calculate the surface temperature of the main urban area of Jinan, and the spatial distribution characteristics and thermal environment of the heat island in the main urban area of Jinan. Quantitative research on the relationship with natural vegetation, provide some data support for alleviating the urban heat island phenomenon in Jinan, promote ecological environment construction, and make scientific and rational planning for the future urban development of Jinan City.

Total 150 sediments samples were collected from the Yangzong Lake, and the total phosphorus, pH, redox potential and organic carbon were analysed to quantitatively study the dispersal and sources of phosphorus and its influential factors. The results indicated that the total phosphorus content in sediments was 318-3931 mg/kg, which decreased slightly with depth. In the sediments at the depths of 0-2cm, 2-4cm, 4-6cm, 6-8cm and 8-10cm, the phosphorus contents were 1151mg/kg, 1126mg/kg, 1138mg/kg, 1057mg/kg and 893mg/kg respectively. The contents of phosphorus in the sediments were high on both north and south banks and reduced gradually towards the centre of the lake. Before the 1980s, the phosphorus distribution in the sediments was mainly influenced by natural factors such as pH value, redox potential and organic matter. But after the 1980s, the phosphorus distribution was mainly affected by the position of sewage discharge. Sources of phosphorus in the sediments have changed from the local source to the multiple sources, and from the point source to surface source. Currently, soil erosion and agricultural non-point source pollution are the main sources of phosphorus in Yangzong Lake.

As a new product of rapid urbanization, the sprawl of urban construction land can objectively reflect urban land use efficiency, which is of great significance to China's new urban construction. This study aimed to summarize the expansion patterns and utilization efficiency of urban construction land in China from the perspectives of the status, speed and trends of expansion, and to uncover the key factors that lead to the differential distribution of the expansion of construction land. It can also provide land management experience for other countries with rapid expansion of construction land. The results show the following. (1) The expansion of China's construction land presents a \"point–line–plane\" pattern of evolution, forming changing stages of point-like aggregation, linear series and planar spread. (2) China's construction land shows the characteristics of disorderly spread, a low utilization rate and low output efficiency. The speed of expansion presents clear characteristics of being high in the east and low in the west, mostly concentrated in the Yangtze River Delta, Pearl River Delta and the Beijing–Tianjin–Hebei urban agglomeration. Shanghai, Beijing, Shenzhen and Guangzhou have the highest intensity of construction land use. In Shandong Peninsula and eastern coastal areas, the intensity of the construction land use is generally high. In Xinjiang and Xizang, the intensity of construction land use is relatively low. (3) The urban economic level, population size, industrial structure, foreign investment and land policies have significant effects on the spatial distribution of the expansion of construction land.

Traditional villages carry the essence of traditional culture, which is necessary for rural revitalisation. However, continuous urban expansion has resulted in the rapid decline and even disappearance of these villages in recent decades. It is necessary to analyse the spatial pattern and influencing factors for the protection and development of traditional villages. Previous studies focused on the value and theoretical protection mechanism of traditional villages in China, disregarding their spatial distribution characteristics and influencing factors. Thus, we employed a Geographic Information System and spatial analysis with mathematical statistics to analyse the characteristics of these villages. Moreover, we analysed the associated influencing factors both qualitatively and quantitatively. The results show that traditional villages were mainly distributed in the southeast of the Hu Line in China, with an unbalanced spatial distribution pattern and an agglomeration distribution tendency. In general, four major agglomeration areas of traditional villages formed at the junction of Hebei, Shandong, and Henan provinces; the border between the Guizhou, Guangxi, and Hunan provinces; the border between the Anhui, Zhejiang, and Jiangxi provinces; and northwestern and southeastern Yunnan provinces. Traditional villages also existed in areas with relief lower than 300 m, altitudes of less than 1000 m, and slopes of less than 10°. They were mostly distributed in subtropical and temperate zones. A positive correlation was found between traditional villages and the level of economic development, population, and human history; conversely, the transportation network was negatively correlated. This study reveals the complex and diverse characteristics of traditional villages and provides scientific suggestions for their future protection, development, and utilisation.

The Yangtze River Basin (YRB) is the birthplace of Chinese civilization and is rich in traditional village resources. Studying their spatial distribution characteristics and influencing factors can guide the protection, inheritance, and development of traditional villages in YRB. This study takes 5 batches of 3346 traditional villages in YRB since 2012 as the research object. Using the nearest neighbor index, kernel density analysis, standard deviation ellipse, and Geodetector model, we analyzed the spatial distribution characteristics of traditional villages in YRB and detected their influencing factors. The results show that the distribution of traditional villages in YRB exhibited a spatial pattern of cohesive clusters, forming a high-density area and development center in the junction zone between Guizhou and Hunan provinces and southeast of Anhui Province, and secondary-density areas in Northeast Yunnan Province and east Jiangxi Province. The results of the Geodetector show that the formation of the spatial distribution pattern of traditional villages in YRB is affected by the combined effects of natural and socio-economic factors, among which elevation and NDVI were the main factors, and the interaction of multiple factors showed an enhanced trend. The findings of this study can provide scientific decision-making support for the development and protection of traditional villages in YRB.