Understanding the spatiotemporal variability of habitat quality as a function of land-use changes is important for expanding scientific knowledge of ecological conservation. In this study, the impacts of land-use change on habitat quality were assessed in two urban agglomerations in China at different stages of development, namely (1) the Yangtze River Delta Urban Agglomeration (YRDUA), which has reached the middle and late stage of urbanization, and (2) the Golden Triangle of Southern Fujian (GTSF), which has reached the middle and early stage. The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) habitat quality model was applied to determine the habitat quality and the degree of habitat degradation in these two agglomerations. Overall, the habitat quality in the YRDUA was found to be clearly inferior to that in the GTSF. In the GTSF, more than 65% of the habitat was of good or excellent quality, whereas in the YRDUA, less than 45% of the habitat reached this quality. By combining the concepts of land use, landscape, and habitat, the boundary of degradation and the general increase in habitat quality from 2000 to 2015 were found to be mainly related to the landform, the dominant landscape, and the concentration of non-habitat areas. Additionally, the type, distribution, and fragmentation of the dominant habitat were shown to play important roles in habitat quality. Moreover, changes in industrial composition over time were demonstrated to be critical drivers of changes in areas of construction land.

Intensifying urbanization and rapid population growth in Fujian Province, China, has caused pollution of air and water resources; this has adversely impacted ecosystems and human health. China has recently begun pursuing a massive infrastructure and economic development strategy called the Belt and Road Initiative, which could potentially cause further environmental damage. Evaluations of ecosystem health are therefore a first step towards identifying the potential impacts from the development and planning sustainable development strategies in the Golden Triangle of Southern Fujian. To this end, our study analyzed landscape patterns and evaluated ecosystem health in this region. We used an index system method to develop a pressure–state–response (PSR) model for assessing the region’s ecosystem health. We found that: (1) the landscape type with the greatest area in the study region is cultivated land and there were no areas that were undisturbed by human activity; (2) the overall ecological health of the region is good, but there is distinct variation across the region. This study incorporates the landscape pattern into an evaluation of ecosystem health. Using counties as evaluation units, we provide a general evaluation index for this scale. The methods reported here can be used in complex ecological environments to inform sustainable management decisions.

To reveal the relationship between rural development and ecosystem services and to assist in efforts to balance these factors, we used a coupling model to carry out a study of the relationship between rural development and ecosystem services in Fujian Province of China during the years 2000 to 2015. First, we characterized the degree of rural development for each county in the province by calculating its index of relative rurality (IRR) and classified the counties into rural development types. Second, we calculated the values of three ecosystem services (ES) and overlapped them to get the sum of ES for each county. Third, we calculated the coupling and coupling coordination degree and analyzed the correlation between IRR and ES in the study area. The results showed that the mean value of IRR declined over the study period, was positively correlated with ES, and the correlation degree increased year by year. Meanwhile the degree of coupling was in the antagonistic stage, but tended to run in stage with a highly coordinated stage coupling coordination degree, if the business services type-counties were excluded. Although the overall coupling coordination degree was high, it declined yearly, which meant that rural development and ecosystem services increasingly lacked coordination. This paper supports and verifies some achievements of rural development programs in the research area, provides theoretical and decision-making support for coordinated rural development and ecosystem services protection in China, and provides a regional case study that could assist with similar research in other countries.

Landscape patterns are closely related to ecological processes. Different spatial scales and research methods may lead to different results. Therefore, it is crucial to choose suitable research methods when studying different landscape patterns and ecological processes. In the present study, the methods of source-sink landscape theory were applied to the interactions between urban landscape characteristics and commuter traffic behavior around the arterial roads in Xiamen Island. After classification of land use types using remote sensing images from the IKONOS satellite and ArcGIS software (ESRI, Redlands, CA, USA), the landscape patterns of areas surrounding arterial roads (within 1 km) were evaluated using source-sink landscape influence (SLI). The results showed that Xiamen Island’s urban expressway had the highest SLI value (0.191), followed by the state highways (0.067), the provincial highways (0.030), and the county roads (0.025). When considering all road types, the correlation between a road’s SLI value and its commuter traffic flow was 0.684. This result was explained by three observations: (1) The contribution of the core area of each landscape pattern to traffic flow was positively correlated with the traffic flow. (2) Areas surrounding the urban expressway and the state highways had lower values for Shannon’s diversity index, indicating that these areas had a lower degree of landscape fragmentation. (3) The landscape patterns surrounding the urban expressway and the state highways were more concentrated and complex than those around other road types. The application of source-sink landscape pattern theory allows for researchers to integrate the relationships between landscape patterns surrounding roads and commuter traffic flow on those roads and to analyze the reasons for these relationships.