ALBERT

Description: Practical village planning is not only an important guide for implementing the rural revitalization strategy but also an important support for building a sustainable rural development model. The scientific measurement of rural development potential to effectively identify the future development direction and mode of rural areas is of great significance to realize the implementation of “hierarchical and key points” of village planning. Taking 38 villages in Shapingba District of Chongqing as the study area, this study comprehensively measures the rural development potential from four dimensions: location advantage, resource endowment, economic vitality, and development constraint. Results reveal the following: (1) the spatial distribution pattern of rural development potential in the study area is centered on the central and southern urban development area, gradually decreasing toward the peripheral area. The village development potential tends to be balanced overall, but differences are observed in advantage and development obstacles of villages in the district, and the four sub-dimensions show a large spatial heterogeneity;(2) the 38 administrative villages were divided into four types, namely, core planning area, important planning area, general planning area, and basic control area. Their percentages were 13.16%, 52.63%, 23.68%, and 10.53%, respectively; (3) differentiated planning contents and strategies for different types of areas are adopted to prepare well-detailed and clearly focused village plans to promote sustainable rural development.

Description: The Brazilian Savannah, also known as Cerrado Biome, is a hotspot for Brazilian biodiversity. The hypothesis tested in this study is that there are diverse routes of soil uses for agriculture production in Cerrado, derived mainly from areas with pasture (natural and planted) due to the decrease in Cerrado deforestation in the last 20 years (from 2000 to 2020). The aim of this study was (i) to determine the profile of crop production in Brazilian Cerrado; (ii) to demonstrate the routes of soil uses during the last 20 years; (iii) to demonstrate the increase of soybean and corn production in Cerrado. The design of the study was based on data of (i) the accumulation of biomass and carbon in Cerrado; (ii) production area and yield of corn, soybean, coffee, sugarcane, cotton, and pasture (natural and planted); (iii) Cerrado deforestation. Results showed that the vegetation of Cerrado promotes a higher accumulation of biomass and carbon on the subsurface, followed by accumulation in the surface, deadwood, and litter. In the last 20 years, there has been a reduction of 75% in deforestation and an increase of 66% in crop areas and 78% in crop yield. However, there was no clear reduction in deforestation specifically in the Matopiba region. In Minas Gerais/MG, Goiás/GO, and Mato Grosso/MT, there were higher productions of coffee/MG, soybean/MT, corn/MT, sugarcane/MG-GO, and cotton/MT. Planted pasture (and not natural pasture) covered the larger areas, representing 75% of the total area with pasture. The low routes of soil uses from deforestation to (i) planted pasture and (ii) crop production explained the decrease in deforestation. The increases in yield and crop areas are explained by the routes from pasture (planted and natural) to agriculture. Our results provided clear insights that programs of Cerrado preservation should continue the decrease of deforestation with the sustainable development in agriculture, mainly in the Matopiba region where there was no clear decrease in deforestation in the last 20 years.

Description: Abandonment of agricultural land is a process described from different regions of many industrialized countries. Given the current focus on land use, land use change and food security, it appears highly relevant to develop improved tools to identify and monitor the dynamics of agricultural land abandonment. In particular, the temporal aspect of abandonment needs to be assessed and discussed. In this study, we used the detailed information available through the Norwegian subsidy claim database and analyzed the history of use of unique land parcels through a fourteen-year period. We developed and tested five different statistics identifying these land parcels, their temporal dynamics and the extent of occurrence. What became apparent was that a large number of land parcels existing in the database as agricultural land were taken out of production, but then entered into production again at a later stage. We believe that this approach to describe the temporal dynamics of land abandonment, including how it can be measured and mapped, may contribute to the understanding of the dynamics in land abandonment, and thus also contribute to an improved understanding of the food production system.

Description: Since the early 1990s, China has experienced rapid industrialization and urbanization. As cities have expanded rapidly, the spatial patterns of rural settlements also changed significantly. This study uses land use data from satellite imagery interpretation, socioeconomic statistics, and field survey data, together with techniques including landscape pattern analysis, kernel density estimation, and spatial measurement models, to analyze the evolving spatial patterns of rural settlements influencing factors in China from 1995 to 2015. The results indicate the following: First, China’s rural settlements experienced significant changes in the period 1995–2015, as 88.92% of Prefectural-level administrative district units saw an increase in rural settlement area, with total settlement size increasing by 1.35 million hectares, and settlement area sprawl index values can be summarized as “high in the west and low in the east”. Second, in the two-decade study period, the population agglomeration capacity of rural settlements in China continuously weakened, and the shape and structure of rural settlement became more complex and irregular. The scale and scope of the disappearance of rural settlement areas in the northeast and southeast regions was relatively drastic, and the kernel density value of settlements dropped significantly. Third, the increase in rural settlement land area is concentrated in low-altitude and low-slope areas, with a significant tendency to be near water and roads. Fourth, social and economic factors, such as per capita net income of rural residents, the proportion of the population employed in agriculture, the size and structure of the permanent rural population, local fiscal revenue, and urbanization level, are the main factors that cause changes of rural settlement patterns. The results of this study can serve as a reference for promoting regional rural sustainable development policies and advancing rural spatial governance and comprehensive revitalization.

Description: The basins containing rivers and wetlands are very significant to the surrounding dwellers in various ways, altogether aiming at boosting the economy for most developing countries. Unfortunately, the benefits are frequently overlooked and lead to basin mismanagement and degradation posed by increasing population. This study used population and satellite data to quantify the extent of land-use and land-cover changes along the Msimbazi valley between 1990 and 2019. Geographic information system and remote sensing techniques were used in the analysis and processing of remotely sensed images acquired in 1990, 2000, 2010 and 2019. The results reveal that the dominant area is built-up land that occupied 39.3% of the total in 1990 and gradually increased to 42.6% in 2000, 54.1% in 2010 and 65.5% in 2019. Moreover, forest and agriculture that in 1990 had been the second and third largest in size, respectively, had been decreasing throughout the entire period. The population increase had been threatening wetland vegetation during the initial 10 years (1990 to 2000); however, the wetland vegetation showed subsequent improvement after the implementation of some government initiatives. Other land cover, such as bush land and grassland, showed minority status with inconsistent changes in either increase or decrease. These findings imply that the Msimbazi Basin suffers much from uncoordinated human activities that consequently degrade its fertility. This degradation can be observed as well from the population distribution maps that show that a huge stress is being exerted along the riverine due to population growth and urbanization. The study also highlights that a lack of intensive management plans that are supported by clear legal commitments for optimal and sustainable resource utilization contributes to wetland deterioration.

Description: One of the 34 themes of the spatial datasets of Directive 2007/2/EC INSPIRE is ‘land use’, rightly described independently of ‘land cover’. Laws in most countries, apart from the Netherlands, do not consider the electronic form of plans as a legally binding document. As far as the elaboration step and the adoption step are concerned, the main land use requirement is related to the datasets that describe existing land use at present and in the past. Surveys and case studies concern Poland and were carried out in two stages, I in 2011–2013 and II in 2017–2019. Previous research on this subject concerned ‘planned land use’, especially attempts to standardize the classification of sub-local zoning plans and omit the creation of a metadata profile for existing land use. The main goal of the qualitative research is to assess the completeness of the available spatial datasets of existing and planned land use, conditioned by the needs of users. The author recommends the establishment in Poland of a new type of regulatory ‘Land Use Plan’ for the area of an entire municipality. As a summary, the author’s model of ‘The spatial planning system in the integrated development system of Poland’ was presented.

Description: Urbanization proceeds globally and is often driven by migration. Simultaneously, cities face severe exposure to environmental hazards such as floods and heatwaves posing threats to millions of urban households. Consequently, fostering urban households’ resilience is imperative, yet often impeded by the lack of its accurate assessment. We developed a structural equation model to quantify households’ resilience, considering their assets, housing, and health properties. Based on a household survey (n = 1872), we calculate the resilience of households in Pune, India with and without migration biography and compare different sub-groups. We further analyze how households are exposed to and affected by floods and heatwaves. Our results show that not migration as such but the type of migration, particularly, the residence zone at the migration destination (formal urban or slum) and migration origin (urban or rural) provide insights into households’ resilience and affectedness by extreme weather events. While on average, migrants in our study have higher resilience than non-migrants, the sub-group of rural migrants living in slums score significantly lower than the respective non-migrant cohort. Further characteristics of the migration biography such as migration distance, time since arrival at the destination, and the reasons for migration contribute to households’ resilience. Consequently, the opposing generalized notions in literature of migrants either as the least resilient group or as high performers, need to be overcome as our study shows that within one city, migrants are found both at the top and the bottom of the resilience range. Thus, we recommend that policymakers include migrants’ biographies when assessing their resilience and when designing resilience improvement interventions to help the least resilient migrant groups more effectively.

Description: A playa usually refers to a salt desert landscape mainly composed of loose and fine lacustrine sediments. Severe wind erosion on a playa causes the playa to become a source of dust and salt dust and poses a threat to vast areas downwind. Currently, little is known about the impact of wind erosion on the particle size distribution of sediments in different landscapes in the playa. In the present study, six dominant different landscapes in a natural state with the same sedimentary environment in the playa of Ebinur Lake were selected to provide insights into the different characteristics of particle size distribution under the effect of long-term wind erosion. The results reveal that the grain-size composition clearly differed among different landscapes. All samples had a common dominant size group consisting of very fine sand and sand. The very fine sand and sand content of Haloxylon ammodendron desert zone (LS5) was the lowest, while the clay and silt content was the highest at both depths among the six landscapes. The lowest clay and silt fraction and highest sand fraction appeared in the herbal desert zone (LS3) at both depths. Almost all of the sediment samples were of a bimodal distribution mode, with significant differences. The cumulative curve showed a similar S-shape, while the probability cumulative curve showed an inverted S-shape with three subpopulations of granularity characteristics. The smallest mean particle diameter appeared in LS5. The majority of the sediments were moderately to poorly sorted. The mean particle size of the sediments from the six landscapes was significantly different (p 〈 0.05), while no significant difference was observed among the other three parameters. Generally, it can be inferred that LS5 can reduce wind speed effectively, probably due to the smaller leaves and dense branches of Haloxylon ammodendron, which results in a high level of coverage. The results of the present study will have some implications for the grain size characteristics for changes in intensity in regional wind erosion environment and will also have some basis for wind erosion prevention and control in the playa of Ebinur Lake.

Description: Climate change has been thought to drive the accelerated expansion of global drylands. However, many studies reveal that Arid Central Asia (ACA) has been warming and wetting in recent decades, representing an anomalous response to global climate change. Given that ACA is composed of complex ecosystems and landforms, it is not clear whether or not this trend is uniform in this topographically heterogenous region. Here, we integrate the Google Earth Engine and ERA5-Land reanalysis data to study the trend of changes, since the 1980s, in temperature and precipitation in the Tianshan Mountains and the surrounding deserts, collectively referred to as the Tianshan and Desert Ecozone, which is in Northwest China. Our results show that only 20.4% of this area is becoming both warmer and wetter, which occurs mainly in the altitudes above 2800 m (Tianshan Ecozone). All three alpine ecosystems (coniferous forests, alpine meadow, and nival zone) in the Tianshan Ecozone exhibit similar warming and wetting trends, including of elevation-dependent wetting on the specific altitude range. In contrast, the low-lying oasis where human activities are mostly concentrated is undergoing warming and drying, which will face a greater threat of drought projected under three emissions scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5). These results highlight the importance of considering the differences of climate change in different altitude gradients and different ecosystems when studying climate change in drylands.

Description: Rapid urbanization in China greatly contributes to carbon emissions, while the industrial structure greatly contributes to changes in the variation of carbon emissions. This research addresses the impact of urbanization and industrial structure on carbon emissions from 2010 to 2018, by focusing on the Huaihe River Eco-economic Zone, which is an important economic corridor along the north–south division of China. Although many studies have focused on investigating the impact of urbanization or industrial structure on carbon emissions, few studies further addressed an analysis of the impact of both on carbon emissions, using multiple measurement models. This paper reveals the holistic and local impact of industrial structure and urbanization on carbon emissions, by integrating a threshold regression model with geographically weighted regression. The results are as follows: (1) From a holistic point of view, industrial structure and urbanization had both, single threshold, and double threshold effects on carbon emissions in the Huaihe River Eco-economic Zone. (2) From a regional perspective, the coefficients of industrial structure on carbon emissions were all positive, but the rate of increase gradually slowed down. The coefficients of urbanization on carbon emissions were all negative, reaching a maximum value of negative effect in 2013. Understanding the holistic and local impact of urbanization and industrial structure on carbon emissions provides governments with differentiated and forward-looking suggestions for mitigating carbon emissions in the Huaihe River Eco-economic Zone.