Construction of a multi-scale effectiveness evaluation system for ecological restoration and protection of territorial space.

The ecological restoration and protection of territorial space is a systematic project for the protection and restoration of ecosystems damaged or degraded by human disturbance. Effectiveness evaluation is of great significance to the optimization, adjustment, and sustainability of ecological restoration and protection. Current research and practices tend to focus on a single element and the site scale. Based on the study on the connotation of ecological restoration and protection of territorial space and the multi-scale characteristics of ecosystems, we constructed a multi-scale effectiveness evaluation system for ecological restoration and protection of territorial space and a full-cycle monitoring system for effectiveness evaluation. The multi-scale effectiveness evaluation system consisted of the regional/watershed scale, the protection and restoration unit scale, and the sub-project scale. The full-cycle monitoring system contained the basic information investigation system before construction, the construction monitoring system during construction, and the multi-scale effectiveness evaluation system after construction. At the regional/watershed scale, structure, quality, and services of ecosystem were concerned and remote sensing was used as the main method to capture data. At the protection and restoration unit scale, ecological stress factors, ecosystem quality and services were concerned, and the main methods were remote sensing combined with field survey. At the sub-project scale, engineering technology measures were concerned and the field survey was used as the main method. In the implementation of the multi-scale effectiveness evaluation, it would be necessary to focus on and solve the key issues including the spillover effect, transmission mechanism, and potential impact of ecological restoration.

[Evaluation of ecological conservation red line from the perspective of ecological security pattern: Taking Zhejiang Province, China as an example]. / ç”Ÿæ€å®‰å ¨æ ¼å±€è§†è§’ä¸‹çš„ç”Ÿæ€ä¿æŠ¤çº¢çº¿è¯„ä¼°­­ä»¥æµ™æ±Ÿçœä¸ºä¾‹.

To investigate the scientificity of the ecological conservation red line in Zhejiang Province, we evaluated the ecological effect based on the concept of ecosystem processes from the perspective of ecological security pattern. On the basis of clarifying the triple connotation of the ecological conservation red line, we constructed an evaluation index system to identify ecological sources and evaluate the importance of red line patches with InVEST model and net primary productivity quantitative analysis. Minimum resistance model and gravity model were used to construct the ecological corridors and evaluate the connectivity of red line. Moreover, landscape pattern index and overlay analysis were applied to evaluate the fragmentation and coordination of red line. The results showed that, from the perspective of ecological importance, the protection scale in Zhejiang Province was relatively large, but 13.5% of the red line areas were not of high importance. About 40% of the provincial ecological sources were not included in the ecological conservation red line. From the perspective of spatial structure, the connectivity of the ecological conservation red line was insufficient. The protection rate of the first-level ecological corridor was less than 15%. The red line patches in some counties and cities were relatively broken. From the perspective of natural-social system coordination, cross-administrative red line areas were well connected. However, it was still necessary to pay attention to the fact that the conflict between supply and demand in the plain area had led to spatial mismatch and fragmentation of red line. Using the ecological security pattern for reference, we put forward the relevant strategies of red line optimization and adjustment, which could provide scientific reference for ecological space management.

[Territorially ecological restoration zoning and optimization strategy in Guyuan City of Ningxia, China: Based on the balance of ecosystem service supply and demand]. / 基于生态系统服务供需平衡的宁夏固原生态修复分区与优化策略.

Scientifically identifying the territorially ecological restoration zoning is a vital prerequisite for implementing ecological restoration projects and enhancing environmental quality. Based on remote sensing data, we syste-matically assessed supply and demand for ecosystem service and their relationship in Guyuan City, China by using the InVEST model, coordination degree model, and spatial autocorrelation analysis. We carried out territorially ecological restoration zoning by coupling the ecosystem service supply and demand. Furthermore, the corresponding optimization strategies were put forward according to the regional characteristics of natural resources and socio-economic development. The results showed that the areas with high water yield, carbon storage, soil conservation and habitat quality were mainly located in the southern part of Guyuan City. The areas with high population density, economic development level and high ecological demand were mainly located in the central urban area and the location towns of the county government. The spatial mismatch of supply and demand for ecosystem services in Guyuan City was dominant, as indicated by the fact that the areas with high ecological supply having low ecological demand and low ecological supply having high ecological demand. The average coordination index was 0.5, indicating that the relationship between ecological supply and ecological demand was basically coordinated. Based on the diffe-rences between supply and demand of ecosystem services and regional natural geographical pattern, the administrative township units in Guyuan could be classified into six ecological restoration zonings: key ecological restoration area, potential ecological restoration area, ecological economic reconstruction area, characteristic agricultural development area, ecological core protection area, and ecological industry construction area. Different management strategies were proposed to provide scientific support for ecological restoration.

[Delineation of urban development boundary based on the combination of rigidity and elasti-city: A case of Yiwu City in Zhejiang Province, China.] / 刚性与弹性相结合的城市开发边界划定­­ä»¥æµ™æ±Ÿçœä¹‰ä¹Œå¸‚为例.

Under the background of rapid urbanization, we took the contradiction between the rapid urbanization and resource environment protection as the starting point, conducted some theoretical research on urban growth boundary. Based on the definition of urban development boundary, we took Yiwu City, Zhejiang Province as a typical instance. Firstly, this study delimited the ecological boundary as ecological basic constraint area, using the methods of ecological red line discrimination and ecological sensitivity evaluation. Furthermore, the MCE-CA model was used in simulating the city size in 2020, making some adjustments to the moderate and low ecological-sensitive areas in the eco-sensitivity assessing, and delimiting the size of urban growth boundary and elastic control zones. The results showed that the ecological constraint area with a total area of385.2 km2 and outside of the ecological boundary was the security line of urban development and construction. The urban growth boundary with a total area of 163.3 km2 was not only the spatial boundary that could be constructed now, but also could meet the future development and construction. The district between the ecological boundary and urban growth boundary was an elastic control zone, in which urban development activities were allowed, but the size of construction could not exceed 8.5% of the total urban development boundary area. Our results delimited the urban development boundary under the rigidity and elasticity, which could guide the urban space development and provide a theoretical reference for China.

[Assessment on heat island effect based on urban regulatory planning.] / 基于城市控制性详细规划的热岛效应评价.

With the improved legal status of urban planning, regulatory detailed planning is playing an increasingly important role in guiding land leasing and regulating the spatial structure of urban construction. Understanding the effect of regulatory planning indices on urban heat island (UHI) and evaluating the heat environment performance of indices combination at the scale of regulatory planning unit and plot are of great significance for assessing the thermal environment effect of regulatory planning quantitatively and putting forward action plans to mitigate heat island impacts. In this study, we assessed impacts of main urban regulation indices and their combinations on UHI by analyzing land surface temperature (LST) data, retrieved through the thermal infrared remote sensing image (Landsat8 TIRS), using statistical and GIS spatial analysis methods. Results indicated that the indices of green ratio, plot area, building density and building height all had a significant impact on LST at regulatory planning unit level. By generating 3D models, we found the regulation index combination with round 30% of green ratio, and 2.5-3.5 of floor area ratio had the minimal impact on urban thermal environment at regulatory plot. The outcomes provided a new perspective on the rational improvement of urban regulatory planning.

[Remote sensing estimation of urban forest carbon stocks based on QuickBird images].

Urban forest is one of the positive factors that increase urban carbon sequestration, which makes great contribution to the global carbon cycle. Based on the high spatial resolution imagery of QuickBird in the study area within the ring road in Yiwu, Zhejiang, the forests in the area were divided into four types, i. e., park-forest, shelter-forest, company-forest and others. With the carbon stock from sample plot as dependent variable, at the significance level of 0.01, the stepwise linear regression method was used to select independent variables from 50 factors such as band grayscale values, vegetation index, texture information and so on. Finally, the remote sensing based forest carbon stock estimation models for the four types of forest were established. The estimation accuracies for all the models were around 70%, with the total carbon reserve of each forest type in the area being estimated as 3623. 80, 5245.78, 5284.84, 5343.65 t, respectively. From the carbon density map, it was found that the carbon reserves were mainly in the range of 25-35 t · hm(-2). In the future, urban forest planners could further improve the ability of forest carbon sequestration through afforestation and interplanting of trees and low shrubs.

[Spatiotemporal changes of wetlands in Hangzhou Bay Industrial Belt].

By using RS and GIS techniques, the spatiotemporal changes of wetlands in Hangzhou Bay Industrial Belt, one of the most developed zones in Zhejiang Province, from 1990 to 2005 were studied. There was a frequent conversion between the wetlands and other land use types and between the wetlands themselves, mainly manifested in the conversion between wetland and farmland, and from wetland to construction land and from tidal flat to aquiculture area. The comparative advantage of other land use types and the policy of cultivated land's requisition-compensation balance decided the inherent mechanisms of these spatiotemporal changes. Driven by the aquaculture's comparative advantage to traditional agriculture, large areas of inland farmland and of the tidal flat along the coast of Hangzhou Bay were reclaimed into aquiculture area, and the rapid expansion of construction land, limited land resources, and the implement of cultivated land's requisition-compensation balance policy induced the wetlands being occupied.

[Spatial scale effect of urban land use landscape pattern in Shanghai City].

Based on geographic information system (GIS) and remote sensing (RS) techniques, the landscape classes of urban land use in Shanghai City were extracted from SPOT images with 5 m spatial resolution in 2002, and then, the classified data were applied to quantitatively explore the change patterns of several basic landscape metrics at different scales. The results indicated that landscape metrics were sensitive to grain- and extent variance. Urban landscape pattern was spatially dependent. In other words, different landscape metrics showed different responses to scale. The resolution of 40 m was an intrinsic observing scale for urban landscape in Shanghai City since landscape metrics showed random characteristics while the grain was less than 40 m. The extent of 24 km was a symbol scale in a series of extents, which was consistent with the boundary between urban built-up area and suburban area in Shanghai City. As a result, the extent of 12 km away from urban center would be an intrinsic handle scale for urban landscape in Shanghai City. However, due to the complexity of urban structure and asymmetry of urban spatial expansion, the intrinsic handle scale was not regular extent, and the square with size of 24 km was just an approximate intrinsic extent for Shanghai City.