Landscape Pattern Optimization Research Articles

Study on the Evaluation of Urban Park Landscape Pattern Index and Its Driving Mechanisms in Nanchang City

Urban planning is often influenced by industrial and construction activities, leading to a lack of attention to the planning and construction of urban parks, which results in prominent spatial layout problems. Urban parks, as an important part of the urban green space system, play a significant role in improving the ecological environment, promoting urban economic development, and enhancing the daily living standards of the people. As a typical representative of China’s second and third-tier cities, Nanchang’s analysis of the evolution process of urban landscape patterns has reference significance for other similar cities in China. This paper is based on the theoretical foundations of landscape ecology, human geography, and urban planning, and analyzes the evolution of the park landscape pattern in the central urban area of Nanchang from 1999 to 2019 from the perspective of urban context, revealing the driving mechanisms. It provides important references and bases for the further optimization and construction development of the park landscape pattern in Nanchang. The results show that the park area and number in the central urban area of Nanchang have significantly increased, with the overall layout evolving from “central aggregation” to “core aggregation in each area”, and from “central scarcity, more on the periphery” to “inward concentration, outward diffusion”. However, the distribution of various types of parks is uneven, and there is a lack of green corridor links between parks. The park landscape pattern is driven by multiple factors such as natural factors of urban context, socio-economic factors, urban construction factors, historical policies, and related planning, which can have positive or negative effects. Incorporating relevant urban factors into the park planning system analysis can promote the benign development of urban context and park landscape layout, thereby achieving the “parkification” of the city.

Influence of landscape pattern changes on water conservation capacity: A case study in an arid/semiarid region of China

With the accelerating changes of land use/cover caused by natural and human factors, landscape pattern has undergone significant changes. Given the scarcity of water resources and the degradation of ecological functions in arid and semi-arid regions of China, it is necessary to analyze the impact of landscape pattern changes on water conservation. Taking the Wei River Basin (WRB) as the research area, based on water balance equations, FRAGSTATS 4.2 software, and correlation analysis method, this study explored the spatiotemporal distribution characteristics of water conservation and landscape pattern in the WRB from 1990 to 2020, as well as the correlations between the two. The results showed that from 1990 to 2020: (1) the water conservation capacity (WCC) showed no insignificant change trend (P > 0.05) in sub water basins as well as the entire WRB, and it presented a spatial distribution pattern of more in the south and west, and less in the north and east; (2) the landscape diversity and fragmentation of the WRB have increased, and the patch shapes tended to be complex, while connectivity and agglomeration between patches decreased; (3) The WCC had significant negative correlations with the Contagion Index (CONTAG), connectivity index (COHESION), and largest patch index (LPI), while had significant positive correlations with landscape shape index (LSI), Shannon diversity index (SHDI), and separation index (SPLIT), indicating that the increase of landscape fragmentation and diversity was conducive to the improvement of WCC. In the process of ecological landscape planning and optimization, the fragmentation degree of landscape can be appropriately increased. (4) Vegetated grassland, forestland, and farmland were the main sources of WCC, with average WCC values of 81.90, 68.04, and 8.72 mm, respectively. NDVI of the watershed increased significantly (P < 0.01) during the research period and showed a significant positive correlation with WCC, indicating the promoting effect of increasing vegetation coverage on WCC. Relevant results may provide referential information for ecological restoration and optimization of landscape pattern in arid/semiarid regions.

Impact of territorial spatial landscape pattern on PM2.5 and O3 concentrations in the Yangtze River delta urban agglomeration: Exploration and planning strategies

PM2.5-O3 composite pollution has become a pressing atmospheric challenge in China. Assessing the impact of territorial spatial landscape pattern on PM2.5 and O3 concentrations within the context of territorial spatial planning will provide ideas for atmospheric governance and spatial planning. Based on the agricultural-urban-ecological space system, this study first reclassifies territorial space within the Yangtze River Delta urban agglomeration (YRDUA) and calculates multilevel and multidimensional landscape metrics. Then, variables are screened by the random forest model and collinearity test. Furthermore, the spatiotemporally heterogeneous impact of selected landscape metrics on PM2.5 and O3 concentrations is explored using the geographically and temporally weighted regression (GTWR) model, with a tradeoff-synergy analysis being conducted to propose planning strategies. The conclusions show: (1) Two pollutant concentrations have both numerical and spatial correlations. The temporal stability of concentrations' responses to metrics is increasing, while the spatial heterogeneity continues to be significant. (2) Aggregation index of agricultural production space (AP_AI) and percentage of forest area (FO_PLAND) are trade-off and synergy factors of coordinated control, respectively. Largest patch index of grassland (GR_LPI) and patch density of other ecological spaces (OT_PD) are individual factors of PM2.5 reduction. (3) Spatial zoning supported by intra-zonal and inter-zonal cooperation policies, and coordinated control guidelines centered around the utilization of agricultural production space, have been advocated. This study aims to provide theoretical supplement and practical support for urban agglomeration's atmospheric governance and territorial spatial landscape pattern optimization.

Landscape pattern optimization of small watershed based on water purification (Danjiangkou reservoir area, China)

In recent years, landscape pattern optimization has been regarded as a cutting-edge science in various fields, and basin hydrology is no exception. Its effect on basin water purification has also been focused on. Based on the analysis of land use types and landscape patterns in the Danjiangkou Reservoir Basin, and combined with the determination of water quality indicators in the Danjiangkou Reservoir Basin, the relationship between the spatial pattern of Landscape Morphology and water quality was studied; It is found that among the basic characteristic indicators of many basins, the main influencing factors of water quality with high Variable importance for the projection (VIP>1) are IJI (Interspersion and Juxtaposition Index), COHE (Patch Cohesion Index), AI (Aggregation Index), PD (Patch Density), ED (Edge Density); Using PLSR (Partial Least Squares Regression) analysis, the main influencing factors of water quality were discussed. It was found that there was a significant negative regression relationship (Rc < 0) with CODMn (permanganate index), TP (Total Phosphorus), TN (Total Nitrogen) and NH4+-N (ammonia nitrogen) in the basin, and the influencing factors were topographic humidity index, topographic relief, slope, and forest area; The landscape patch connectivity index was used to determine the ecological source areas in the Danjiangkou reservoir basin that have improved connectivity and need to be protected; The priority of ecological corridor construction and protection was determined; With the help of the minimum cumulative resistance model, the ecological corridor between various ecological sources is constructed; The ecological grips on the ecological corridor are identified. In order to provide technical support for the optimization of landscape configuration for the purpose of water quality purification in Danjiangkou reservoir area.

Research on regional terrestrial carbon storage based on the pattern-process-function

The evolution of ecological pattern caused by human activities has altered the terrestrial carbon cycle process, and it is important to explore systematic approaches to study the relationship between ecological pattern and carbon sequestration function within regions. From the new perspective of the pattern-process-function in landscape ecology, this study couples NPP-InVEST, GeoDa, MOP-PLUS, and GeoDetector models to construct a conceptual cascade framework of “Land use pattern-Evolution process-Carbon sequestration function” (LEC), which provides a new epistemology and methodology for increasing carbon sink and mitigating down carbon source. Based on natural and socioeconomic elements, the use of LEC is illustrated in the Beijing-Tianjin-Hebei (BTH) region, the land use pattern, evolution process, and carbon sequestration function from 2000 to 2020 were analyzed, the trends of carbon storage in 2030 under four development scenarios were simulated, the driving mechanism of carbon sequestration function was studied, and the carbon sequestration function enhancement strategy based on the LEC was proposed. The results indicate that the land use pattern determines the spatial distribution and aggregation of carbon sequestration function, and the evolution process forms a low-carbon zone with construction land expansion, leading to a reduction in carbon storage. However, the ecological protection simulation scenario increases the high-carbon zone, which effectively slows down the decreasing trend of carbon sequestration function. Based on a comprehensive understanding of LEC, regional carbon storage can be enhanced through scientific allocation, priority protection, and efficient utilization of land use pattern. LEC contributes to the sustainability of complex natural-social-economic systems and provides an innovative approach for regional landscape pattern optimization policy formulation and carbon sequestration function enhancement.

Spatio-temporal characteristics of traditional village landscape pattern and its influencing factors from the perspective of tourism development: a case study of Huangcheng Village, China

ABSTRACT Tourism development promotes economic income and cultural protection of traditional villages, but it also disturbs their landscape pattern and ecosystem. This study is aim to explore the process characteristics and mechanisms of the impact of tourism development on the landscape pattern of traditional villages. Taking Huangcheng Village, a typical tourism-oriented traditional village as a case, this research selects four remote sensing images from 1995 to 2020 according to its key time nodes of tourism development, analyzes its landscape expansion and pattern change, and uses Geodetector to explore influencing factors. The results show that: (1) The landscape change mainly presents the non-natural landscape continuously occupying the natural landscape, and expands continuously around tourist resources in edge-expansion and leapfrog-expansion manner, among which the expansion from 2003 to 2011 is the most significant; (2) The dominance and connectivity of non-natural landscape are enhanced, and the overall landscape pattern experiences a “relatively complete – tending to fragmentation – tending to completeness” change process; (3) The dominant factors affecting landscape pattern have stage characteristics. The results emphasize the role of tourism-related socio-economic and policy factors in influencing landscape pattern, which is significant for the landscape pattern optimization and sustainable development of tourist-type traditional villages.

Landscape pattern changes in coal resource-based cities: A case study of Huainan City in China

Currently, coal resource-based cities (CRBCs) are facing challenges such as ecological destruction, resource exhaustion, and disordered urban development. By analyzing the landscape pattern, the understanding of urban land use can be clarified, and optimization strategies can be proposed for urban transformation and sustainable development. In this study, based on the interpretation of remote sensing data for three dates, the landscape pattern changes in the urban area of Huainan City, a typical coal resource-based city in Anhui Province, China were empirically investigated. The results indicate that: (1) There is a significant spatial-temporal transformation of land use, with construction land gradually replacing arable land as the dominant land use type in the region. (2) Landscape indices are helpful to reveal the characteristics of land transfer and distribution of human activities during a process. At the landscape type level, construction land, grassland, and water bodies are increasingly affected by human activities. At the landscape composition level, the number of landscape types increases, and the distribution of different types of patches becomes more balanced. In addition, to address the problems caused by the coal mining subsidence areas in Huainan city, three landscape pattern optimization strategies are proposed at both macro and micro levels. The research findings contribute to a better understanding of land use changes and their driving forces, and offer valuable alternatives for ecological environment optimization.

Evaluation and optimization of ecological landscape pattern for urban agglomeration in the Pearl River Delta, China.

The evaluation and optimization of landscape ecological pattern has important implications for the accurate improvement of forest quality and high-quality urban development in the Pearl River Delta urban agglomeration. Based on the "one map" data and digital elevation model data of forest resource management in 2021, we evaluated and optimized landscape ecological pattern of the Pearl River Delta urban agglomeration by morphological spatial pattern analysis and minimum cumulative resistance model. The results showed that there were 435861 patches in the Pearl River Delta urban agglomeration that could be used as ecological source area, covering an area of 7346.60 km2 and accounting for 13.4% of the Pearl River Delta area. Thirty patches were selected as the ecological source area of the study area by using the area and patch importance index, covering an area of 2792.59 km2 and accounting for 5.1% of the Pearl River Delta area. The overall natural environment of the Pearl River Delta urban agglomeration was excellent. The ecological resistance level was small. The peripheral ecological resistance was low. The core ecological resistance was high. There was still a large room for adjustment of stand types and landscape patterns, which should be optimized by adjusting the composition and spatial distribution of tree species. The ecological network of the Pearl River Delta urban agglomeration was optimized with 30 ecological sources, 103 key ecological corridors, and 95 ecological nodes. The improvement rates of the optimized probability of connectivity index and integral index of connectivity index were 297.5% and 695.1%, respectively. The optimization results could effectively connect the ecological sources and spread the ecological service functions of ecological sources.

Response of ecosystem services to landscape patterns under socio-economic-natural factor zoning: A case study of Hubei Province, China

The regional landscape pattern heterogeneity and the spatiotemporal distribution of ecosystem services (ESs) are influenced by the distribution of natural resources and regional socio-economic development. Analyzing ESs and the landscape pattern impact on ESs in different sub-regions by separating the natural, economic, and social factors is important for regional development and conservation. In this study, Fragstats, the integrated valuation of ecosystem services and tradeoffs (InVEST) model and R software were applicated to analyze the response of ESs trade-offs to landscape characteristics under socio-economic-natural zoning, using a variety of data in Hubei Province as an example. The results showed that: (1) Hubei Province was divided into four sub-regions: a woodland protection zone (WPZ), a rapid urbanization zone (RUZ), a plain agricultural zone (PAZ), and a mountainous agricultural zone (MAZ). (2) The water yield (WY) and crop production (CP) services increased by 769.32 mm and 5.07 × 106 t from 2000 to 2020, respectively, while the carbon sequestration (CS) and nutrient discharge (ND) services decreased by 6.96 × 106 t and 2.75 × 107 kg, respectively. (3) There were differences in the interactions of ESs in four sub-regions. The WY in the RUZ exhibited a strong trade-off relationship with the remaining three ESs, while WY and ND showed a weak synergistic relationship in the two agricultural zones. (4) The response of the ESs to landscape patterns was not the same in different sub-regions. The dominant land types had a weaker impact on the ESs than the non-dominant land use types in the WPZ and RUZ. These results indicate that the different distributions of the natural resources and the unsynchronized social and economic development had effects on ESs, and that landscape pattern optimization enhances ESs should be considered in ecosystem protection.

Optimization of landscape pattern in the main river basin of Liao River in China based on ecological network

As a mainstream method of landscape pattern optimization, the ecological network plays an important role in maintaining ecosystem stability, improving landscape connectivity, and promoting landscape sustainable development. Based on landscape connectivity index and morphological spatial pattern analysis (MSPA), a comprehensive evaluation system of ecological patches was constructed in the main river basin of Liao River, and ecological sources were extracted. According to the habitat characteristics of the study area, the ecological cumulative resistance surface was constructed, and the ecological corridors and nodes were extracted by the minimum cumulative resistance (MCR) model. The ecological network of the study area was comprehensively evaluated by using the network analysis method, and the importance level of the ecological corridor was divided by the gravity model, so as to put forward the optimization suggestions of the landscape pattern based on the ecological network. The results showed that the ecological network in the main river basin of Liao River is composed of 20 ecological sources, 108 ecological corridors, and 72 ecological nodes, with the distribution characteristics of dense east and sparse west. The main landscape components are cropland and woodland. The closure degree, line point rate, and connectivity index of the ecological network are 0.27, 1.50, and 0.51, respectively, and the cost ratio is 0.23. In the optimization of landscape pattern, priority should be given to the restoration of primary ecological sources and ecological corridors, followed by the ecological construction of secondary and tertiary ecological sources and ecological corridors, the rational use of engineering technology for habitat remodeling, and the adoption of the "patch-corridor-substrate" model to improve the stability and landscape connectivity of the regional ecosystem. The construction of ecological network in the main river basin of Liao River is of great significance to regional ecological security and biodiversity conservation, and provides data support for optimizing the landscape pattern of the basin and promoting regional sustainable development.

Spatio-Temporal Evolution and Driving Factors of Landscape Pattern in a Typical Hilly Area in Southern China: A Case Study of Yujiang District, Jiangxi Province

As the most intuitive manifestation of land use/land cover change, the spatio-temporal evolution of landscape patterns has significant implications for optimizing regional landscape pattern and land use management. Based on multi-period remote sensing data, we selected an optimal scale (570 m) and used the geographic detector model to analyze the spatio-temporal changes in the landscape pattern of a typical hilly area (Yujiang District, Yingtan City, Jiangxi Province) in southern China. The results showed that from 2009 to 2018, the area of urban land, other construction land, rural residential land, and cultivated land expanded by 33.27%, 21.23%, 19.42%, and 1.07%, respectively. In contrast, the area of grassland, forest land, and water area shrank by 18.18%, 5.41%, and 2.19%, respectively, over the past 10 years. At the landscape level, the patch shape became more complex over time, with increased landscape fragmentation and diversity. At the class level, cultivated land, forest land, and grassland tended to be fragmented, whereas rural residential land exhibited an aggregation tendency. Slope gradient, gross regional product, and distance from major highways had a strong ability to explain the spatial differences in landscape pattern change. The results of this study enable a dynamic understanding of landscape pattern evolution in typical hilly areas in southern China and provide a reference for landscape pattern optimization in similar geomorphic settings.

Improving the ecological network optimization with landscape connectivity: a case study of Neijiang City, Sichuan Province.

Rapid urbanization intensifies the fragmentation of landscape patches and affects the stability of ecosystems. The construction of an ecological network can effectively promote the connection of important ecological spaces and improve the landscape integrity. However, the landscape connectivity, directly affecting the stability of ecological network, was less considered in the ecological network construction of recent researches, which easily caused the instability of constructed ecological network. Therefore, this study introduced landscape connectivity index to establish a modified ecological network optimization method based on the minimum cumulative resistance (MCR) model. The results showed that, compared with the traditional model, the modified model focused on the spatially detailed measurement of regional connectivity, and emphasized the impact of human disturbance on ecosystem stability at the landscape scale. The constructed corridors in the optimized ecological network of the modified model not only effectively improved the connection degree between important ecological sources but also avoided the areas with low landscape connectivity and high obstacles to ecological flow, especially in the counties of Zizhong, Dongxing, and Longchang within the focal study area. The ecological network established by the traditional model and modified model generated 19 and 20 ecological corridors with lengths of 334.49 km and 364.35 km, respectively, and the number of ecological nodes was 18 and 22. Evaluated by the Gravity method, the modified model identified the important ecological corridors in the ecological network, and the energy transfer efficiency of the network was improved. This study provided an effective way to improve the structural stability of ecological network construction and can provide scientific support for regional landscape pattern optimization and ecological security construction.

Optimization of landscape pattern in China Luojiang Xiaoxi basin based on landscape ecological risk assessment

Multi-source ecological risks have induced many ecological pollution problems that cannot be ignored and seriously threaten regional ecological security. Constructing and optimizing the landscape pattern is beneficial to improve watershed ecosystem services. In this study, an innovative method is proposed to construct and optimize the landscape pattern, which takes Luojiang-Small Creek watershed as an example. 10-meter high-precision raster elements are selected as the basic unit for landscape ecological risk evaluation, and 20 evaluation factors are selected from three dimensions of “natural environment-human society-landscape pattern” to establish the evaluation index system. The spatial principal component-redundancy analysis (SPCA-RDA) was used to comprehensively evaluate the landscape ecological risk in 2019, and the minimum cumulative resistance model (MCR) and gravity model were used to optimize the landscape pattern of the watershed. The results show (1) Human social and landscape pattern factors have a more significant influence on the integrated ecological risk, while natural factors, except for soil type and vegetation cover, have a weaker influence on the integrated ecological risk. (2) The overall landscape ecological risk is low, and the area of the mild landscape ecological risk zone is 259.89 km2, accounting for 81.68 % of the study area. According to the MCR model and gravity model, forest land with an area larger than 1 km2 and water bodies and grassland with an area larger than 0.01 km2 were identified as ecological source sites. (3) 17 potential ecological corridors were constructed, including 4 road-type corridors, 9 green belt-type corridors and 4 river-type corridors, with a total length of 68.72 km, and 22 potential ecological nodes were identified, including 8 A-type ecological nodes and 14 B-type ecological nodes. A comprehensive three-dimensional spatial ecological network of “ecological nodes-ecological corridors-ecological zones” was constructed, and the optimization effect of the landscape pattern in the study area was evaluated, and it was found that the optimized landscape pattern had significantly improved in terms of connectivity. The results of the study provide ecological protection and planning guidance for future risk prevention and control and landscape pattern optimization of the area with watershed as a unit.

基于不同样带的干旱区城市景观格局时空演变特征——以张掖市为例

PDF HTML阅读 XML下载 导出引用 引用提醒 基于不同样带的干旱区城市景观格局时空演变特征——以张掖市为例 DOI: 10.5846/stxb202202210408 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目（42101276）；甘肃省科技计划项目（20JR5RA529）；国家自然科学基金项目（41661035） Spatio-temporal evolution of urban landscape pattern in arid areas based on different zones: A case study of Zhangye City Author: Affiliation: Fund Project: National Natural Science Foundation of China, No.42101276; Science and Technology Project of Gansu Province, No.20JR5RA529; National Natural Science Foundation of China, No.41661035; Regional Fund of National Natural Science Foundation of China, No.41961027 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:景观格局的变化影响着区域生态安全及可持续发展，研究干旱区城市景观格局时空变化特征，对干旱区景观格局优化具有一定的指导意义。基于1987、1995、2000、2006、2011和2016年6期土地利用数据，利用景观格局指数计算方法，研究张掖市景观格局的时空演变特征。结果表明：（1）2016年张掖市景观类型主要为未利用地，最大斑块指数和斑块聚集度最高，草地和耕地次之，草地的斑块个数和密度最大。（2）张掖市景观格局呈现明显的地域分异特征，圈层梯度带上揭示了绿洲-荒漠用地变化，研究期内第1梯度带内破碎度先上升后下降，城市在2006-2016年扩张较快，其余梯度带破碎度逐年升高；空间演变上，居住地在圈层上的变化呈"L"型，未利用地呈"N"型，张掖市从中心城区到外围区域依次为绿洲城市区、绿洲农业区和自然景观区。（3）水平样带揭示了山地-绿洲-荒漠的用地变化，将张掖市分为4类区域，分别为绿洲城市区、绿洲农业区、荒漠区、山地区；西北-东南样带上景观破碎度年变化不规律，在空间上经过居民点波动变化；东北-西南样带研究期内景观水平指数经过居民点波动变化，其余范围内年变化较稳定，中心城区景观异质性较强。（4）人类围绕河流进行各种生产生活活动，将河流样带分为上中下三段，样带上段和下段景观指数年变化基本保持稳定，以未利用地为主，上段存在部分林地、草地；中段景观指数在空间上波动变化，景观类型以未利用地和耕地为主。 Abstract:The change of landscape pattern affects the regional ecological security and sustainable development. The study on the spatio-temporal change characteristics of urban landscape pattern has a certain guiding significance to the optimization of landscape pattern in arid areas. Based on the land use data of 1987, 1995, 2000, 2006, 2011 and 2016, the temporal and spatial evolution characteristics of landscape pattern in Zhangye City were studied by using landscape pattern index calculation method. The results showed that:(1) The unused land was the main landscape type in Zhangye City in 2016, and the maximum patch index and patch aggregation degree were the highest, followed by grassland and cultivated land, and the grassland patch number and density were the largest. (2) The landscape pattern of Zhangye City showed obviously regional differentiation characteristics, and the gradient zone of circle layer revealed the change of oasis-desert land. The fragmentation degree in the first gradient zone increased firstly and then decreased during the study period, and the Zhangye City expanded rapidly from 2006 to 2016, while the fragmentation degree in the rest gradient zones increased year by year. In terms of spatial evolution, the change of residential area on the circle layer is "L" shape, and the unused land is "N" shape. From the central area to the periphery area, Zhangye City was divided into oasis urban area, oasis agricultural area and natural landscape area successively. (3) The horizontal transect revealed the land use change of mountain, oasis and desert, and Zhangye City was divided into four regions:oasis urban area, oasis agricultural area, desert area and mountain area. The annual change of landscape fragmentation degree in northwest-southeast transect is irregular, and fluctuated through residential area in space. The landscape level index from the northeast to southwest transect fluctuated through residential areas during the study period, and the annual change was relatively stable in the remaining areas. The landscape heterogeneity of the central urban area was strong. (4) The river transect was divided into upper, middle and lower sections by human activities. The landscape index of the transect and the lower section remained stable, and the unused land was the main part, while the upper section had some woodland and grassland. The landscape index in the middle section fluctuated in space, and the landscape types were mainly unused land and cultivated land. 参考文献 相似文献 引证文献

Revelation of Coupled Ecosystem Quality and Landscape Patterns for Agroforestry Ecosystem Services Sustainability Improvement in the Karst Desertification Control

Since the 1950s, the rapid depletion of natural capital due to human activities has led to a growing global demand for ecological and socioeconomic sustainability, driving the development of agroforestry. Although agroforestry ecosystems can maintain sustainable land resources and maximize land productivity, their quality continues to fluctuate. Moreover, there is no clear review of studies addressing the impact of the evolution of agroforestry landscape patterns on their ecosystems, and to fill this gap, we conducted an inclusive review. A total of 163 publications related to agroforestry ecosystem quality and landscape patterns (ELA) that met a set of inclusion criteria were obtained through the Scopus database using the literature review method of searching, appraisal, and synthesis report. The objectives were to summarize the research progress on ELA, reveal the dynamic coupling mechanism between landscape pattern evolution and ecosystem quality, explore the role of landscape pattern optimization in ecological processes and services in agroforestry, and suggest future research and policy directions. Although the understanding of landscape patterns and ecological processes has been deepened, there are limitations in the study of scales, habitats, and other aspects. It is emphasized that understanding the interaction between agroforestry and other landscape elements in spatiotemporal organization is a prerequisite for promoting sustainable benefits, and that the challenges of spatiotemporal dynamics are integrated to scientifically optimize agroforestry landscape patterns. Finally, it is necessary to gain revelations based on the coupling relationship of ELA, through scientific management of agroforestry landscapes, in order to sustainably consolidate the effectiveness of karst rocky desertification (KRD) control and to enhance human welfare.

GIS-based Ecological Risk Assessment on Land Use In Chongqing City, China

Ecological risk assessment (ERA) is a process of predicting the possibility of harmful effects of environmental pollutants on an entire or part of the ecosystem, which is closely connected with the early human health risk assessment. A rational assessment of ecological risks in an urban area can provide great significance for urban landscape pattern optimization, urban ecological risk warning mechanism establishment, and urban ecological environment risk reduction. This study is based on GIS system to assess the ecological risk of land use in Chongqing in 2020, according to the basic theoretical framework and method system of ecological risk assessment. The main process is using remote sensing image data to construct the Ecological Risk Index (ERI) from the perspective of landscape patterns to reflect the potential impact of resource-based urban land use on the ecological environment. In addition, the ArcGIS spatial analysis method was used to evaluate Chongqing's ecological risk. As a result, high-risk area close to the water body just occupied a small part of Chongqing City (around 5%) and this area should be taken into protective measures urgently.

Spatiotemporal Evolution and Optimization of Landscape Patterns Based on the Ecological Restoration of Territorial Space

The ecological restoration of territorial space emphasizes the synergy between ecology and social development. On this basis, we used landscape index analysis methods to explore the spatiotemporal evolution of landscape patterns in urban areas on a district scale. Then, we used multiple regression analysis to explore the driving factors behind this evolution. The results showed the following: (1) Landscape compositions have changed significantly. The growth rate of construction land in the main districts was about three times that in the urban area. (2) There were differences in the characteristics of landscape pattern evolution. Arable land is becoming more fragmented as construction land expands outward. The shapes of public green spaces, arable land, and woodlands tend to be simple and regular. The degree of both urban sprawl and agglomeration decreased in the urban area and the main districts. Meanwhile, landscape separation first decreased and then increased, and landscape diversity increased. (3) Population growth, industrial development, changes in industrial structure, and real estate development are the main driving factors of landscape pattern evolution. Based on this, this study puts forward some suggestions for landscape pattern optimization, which is significant for ecological restoration planning and promotion.

Effects of landscape pattern change on ecosystem services and its interactions in karst cities: A case study of Guiyang City in China

Exploring the effects of landscape pattern changes on ecosystem services (ESs) and its interactions could provide a new method to reduce the trade-offs between ESs from the perspective of landscape pattern optimization, thus contributing to the sustainable management of ESs. In this study, the Guiyang City which is a typical karst mountainous city in China was used as the study region, using InVEST model, Spearman’s correlation and Multiscale Geographically Weighted Regression (MGWR) model, the study assessed the changes and trade-offs of four key types of ESs (i.e., carbon storage (CS), habitat quality (HQ), soil conservation (SC), water yield (WY)) from 1995 to 2019, and analyzed the impacts of landscape pattern on the synergies of ESs. The results showed that ESs in Guiyang City steadily increased during 1995–2019, with CS, HQ, SC, WY, and total ecosystem services (TES) increased by 6.67%, 7.66%, 27.16%, 13.08%, and 11.81%, respectively. The relationship of CS-SC and SC-WY were mainly trade-offs, while the other ESs types were mainly synergies. Moreover, the interaction of static ESs was reversed with that of dynamic spatiotemporal ESs when the lower interaction relationship between static ESs. The effects of landscape pattern changes on ESs and ESs interactions have obvious spatial and scale heterogeneity. Landscape composition had a greater impact on ESs than landscape configuration. Proportion of woodland (Wood_per) and Shannon’s Diversity Index (SHDI) were the main factors influencing the synergies effect of TES. The results could provide practical references for ESs improvement-oriented landscape pattern planning and ecosystem service management in the Guiyang City and in similar fragile ecological regions, which is helpful for the improvement of ESs and high-quality sustainable development.

Coastal landscape pattern optimization based on the spatial distribution heterogeneity of ecological risk

The increasingly intensified development of coastal cities causes excessive consumption of natural resources, leading to environmental damage and increasing conflict between development and ecological protection. In addition to emphasizing ecological development, planners should pay more attention to the practical optimization and regulation of the developed landscape pattern. Taking Dafeng as an example, this study constructs a landscape-pattern optimization method suitable for the spatial distribution heterogeneity of ecological risk-level units in the coastal zone. The study is based on (a) an analysis of the composition and evolution characteristics of Dafeng’s coastal landscape elements, (b) the landscape pattern index of the ecosystem’s overall risk assessment, and (c) the minimal cumulative resistance (MCR) model. The study uses an ecosystem service value to build a resistance model by analyzing the medium and high-risk composition and distribution characteristics of space unit elements. Finally, 23 ecological sources, 14 ecological nodes, and 17 ecological corridors (total length 169.63 km) were built. The optimized coastal zone landscape pattern jointly protects the landscape area of high ecological value by 462.02 km2. The total ecological value is 105,01.71 million yuan. Landscape connectivity has been optimized, as well as the ecosystem’s stability and total service value. The optimization method proposed in this paper can reduce the protection area and cost. The spatial optimization unit is highly targeted, providing new ideas for the coastal cities to implement their ecological development and protection strategies.

Evolution of Landscape Pattern and Tourism Service Value in Zhangjiakou City

Zhangjiakou is a northern Chinese city that hosted the Beijing 2022 Winter Olympic Games. As an important ice and snow tourist destination, it is essential to investigate Zhangjiakou's rate of landscape pattern change, the landscape ecological security level, and ecosystem service value, particularly the tourism ecological service value during its construction. With land use data from 2000 to 2020, this study comprehensively analyzed the dynamic changes in Zhangjiakou, including land use dynamics, the land use transfer matrix, landscape vulnerability, landscape disturbance, ecosystem service value, tourism ecological service value, and other aspects. The results show that the landscape pattern in Zhangjiakou was greatly disturbed from 2015 to 2018, and the landscape ecological security was threatened in the process of landscape pattern adjustment. By 2020, after the landscape pattern was adjusted and stabilized, the landscape ecological security was restored, and the ecosystem service value was significantly improved, especially the tourism ecological service value. The results of this study will play an important role in promoting the optimization of Zhangjiakou's ice and snow landscape pattern and the improvement of tourism ecological value. In addition, it provides important lessons for the development of other ice and snow tourist destinations.