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The World Natural Heritage Sites (WNHSs), which have unique ecosystems, ecological landscapes, and biodiversity, are the common heritage of all of humanity. The evolutionary pathway of ecosystem services (ESs) in the Karst WNHS between the years 2000 and 2020 has been examined, and the trade-offs and synergies among the ESs have been quantified. This research serves as a point of reference for the rational utilization of natural resources and for the protection of the ecological environment within the Karst WNHS. This research aims to assess the following ESs in the Karst WNHS, for the period 2000–2020: water conservation (WC), soil conservation (SC), carbon sequestration (CS), and habitat quality (HQ). Additionally, the objective of this study is to examine the space–time evolution of these ESs. Spearman's correlation coefficient and spatial auto-correlation analyses were utilized to ascertain the temporal and spatial trade-offs and synergies for each ES. The results of this study indicate the following: (1) Between the years 2000 and 2020, the inter-annual changes in HQ and CS at the Shibing and Libo-Huanjiang WNHS exhibited a relatively stable pattern, with a gradual increasing trend, and in contrast, the inter-annual changes in WC and SC exhibited greater fluctuations; (2) the distribution of ESs is closely linked to land use patterns, and woodland is the most critical land type of the ESs, contributing the most to each ES; (3) population density is negatively correlated with various ecosystem services, while GDP is positively correlated with each ecosystem service; and (4) the Karst WNHS in Southern China demonstrates a clear and significant synergistic relationship between WC and CS. This relationship is primarily characterised by a strong synergistic effect. The synergistic relationship between HQ and WC exhibited a weakening trend within both study areas. Furthermore, the SC demonstrated a spatial trade-off relation with HQ, CS, and WC. [ABSTRACT FROM AUTHOR]

As the hot spot and key topic in landscape ecology, the construction of ecological security pattern strives to maintain the integrity of landscape patterns and the continuity of the ecological process, and achieve sustainable development of the region. Taking Hefei City in China as a study area, according to the basal ecological features of Hefei City, the InVEST model was used to select three key indicators of ecosystem service importance (biodiversity, water yield, and carbon storage) to identify ecological sources; the resistance surface based on land use types was modified by the nighttime light (NTL) data; the potential ecological corridors were identified using minimal cumulative resistance model; lastly, the key ecological corridors were extracted using the gravity model. The results showed that: By combining 14 ecological sources, 91 potential ecological corridors, 16 key corridors, and ecological nodes, the ecological security pattern of Hefei City was constructed. Hefei's ecological source area is 1911.7 km2, accounting for 16.68% of the city's total area. It was dominated by water and woodland, which was distributed in the city's eastern and southern regions. The potential ecological corridor was 926.71 km long, while the key ecological corridor was 56.7 km long. Finally, A "One vertical and three horizontal" Hefei City ecological security pattern was built on this foundation. Our research results had important guiding significance for the sustainable utilization of ecological resources in Hefei City and could provide theoretical basis and technical support for ecological protection in Hefei City. [ABSTRACT FROM AUTHOR]

Context: The major goal of ecological security patterns (ESPs) is to identify key ecological sources and corridors, which play an important role in achieving regional sustainability. Although an increasing number of reviews have been published on constructing ESPs, reasonably prioritizing ecological corridors to maintain vital ecological processes and landscape connectivity remains a challenge. Objective: This study aimed to provide guidance for landscape management and decision making by developing an evaluation framework to construct ESPs and further prioritize potential corridors. Methods: Taking Jiangsu Province as a study area, we identified ecological sources by considering three key ecosystem services (biodiversity, carbon storage and water yield) and three ecological sensitivity indicators (soil erosion sensitivity, water sensitivity and habitat sensitivity) using the InVEST model, RULSE model and GIS spatial overlay analysis. Then, ecological corridors were delineated with the least-cost path method, and the ESPs were obtained by combining these corridors with ecological sources. We further prioritized ecological corridors based on the gravity model and the probability of connectivity index. Results: The ESPs of Jiangsu Province contained 51 patches and 37 corridors. The total area of the ecological patches was 15,170.51 km2, accounting for 14.61% of the study area and primarily consisting of water bodies, cropland and forestland. Ecological corridors comprised 1920.38 km and were divided into four quadrants via a precedence matrix. The sixteen ecological corridors in the first quadrant (high importance and strong connectivity) were defined as priority areas and occupied 39.50% of the total corridor length. Conclusion: Our methodology framework offers a valuable tool for constructing ESPs and prioritizing corridors at the regional scale. This framework incorporates targeted ecosystem services and ecological vulnerability indicators to systematically assess and identify key ecological space. The conservation of ecological corridors selected in light of their importance and contribution to enhancing connectivity is a more targeted measure. It could be applied to other landscapes and geographical contexts. [ABSTRACT FROM AUTHOR]