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This study introduces a data-driven framework for enhancing the sustainable management of fish species in Romania’s Natura 2000 protected areas through ecosystem modeling and association rule mining (ARM). Drawing on seven years of ecological monitoring data for 13 fish species of ecological and socio-economic importance, we apply the FP-Growth algorithm to extract high-confidence co-occurrence patterns among 19 codified conservation measures. By encoding expert habitat assessments into binary transactions, the analysis revealed 44 robust association rules, highlighting interdependent management actions that collectively improve species resilience and habitat conditions. These results provide actionable insights for integrated, evidence-based conservation planning. The approach demonstrates the interpretability, scalability, and practical relevance of ARM in biodiversity management, offering a replicable method for supporting adaptive ecological decision making across complex protected area networks.

Phylogenetic niche conservatism (PNC) is the tendency of lineages to retain their niche-related traits through speciation events. A recent surge in the availability of well-sampled molecular phylogenies has stimulated phylogenetic approaches to understanding ecological processes at large geographical scales and through macroevolutionary time. We stress that PNC is a pattern, not a process, and is found only in some traits and some lineages. At the simplest level, a pattern of PNC is an inevitable consequence of evolution – descent with modification and divergence of lineages – but several intrinsic causes, including physicochemical, developmental and genetic constraints, can lead directly to a marked pattern of PNC. A pattern of PNC can also be caused indirectly, as a by-product of other causes, such as extinction, dispersal limitation, competition and predation. Recognition of patterns of PNC can contribute to understanding macroevolutionary processes: for example, release from constraint in traits has been hypothesized to trigger adaptive radiations such as that of the angiosperms. Given the multiple causes of patterns of PNC, tests should address explicit questions about hypothesized processes. We conclude that PNC is a scientifically useful concept with applications to the practice of ecological research.

The Yellow River Basin (YRB) is recognized as an essential ecological safeguard in China, significantly contributing to ecological stability and environmental protection. However, rapid socioeconomic development poses significant threats to the ecological security of the region. To address this issue, this study used normalized difference vegetation index data to identify ecological source areas. Using optimal parameters-based geographical detector model processed a multi-source data set to develop an ecological spatial network. Methods for topological and pattern analysis were utilized to examine the network. Additionally, various ecosystem services (ESs) within the ecological source areas and their interrelationships were calculated to analyze their associations with network characteristics, climate, and human factors under different network patterns. Finally, based on the importance of the structure and function of regional vegetation, a series of strategies has been proposed to optimize and protect the stability of its spatial distribution. The research findings show that: (1) areas with high ES indicator values are mainly found in the upper reaches of the YRB and the adjacent regions of the Taihang Mountains (2) the ecological spatial network of the YRB is denser in the mid-upper reaches and sparser in the lower reaches. (3) There is a significant synergy between water supply and water conservation within the ecological source areas, while landscape aesthetics and carbon storage, as well as water supply and carbon storage, exhibit significant trade-off effects. (4) Five network patterns and six ES bundles were identified. The correlation between ESs, network topological metrics, and climate-human factors varies across different patterns, with more structurally complete network patterns generally providing better ESs.

In the Anthropocene, scleractinian corals face unprecedented threats from synergistic stressors, including rising seawater temperatures that surpass critical thresholds that lead to global coral reef degradation. With over 1,698 coral species in the order Scleractinia, their conservation is increasingly complex due to their morphological plasticity and the challenge of accurate species identification. The genus Acropora , with approximately 400 nominal species, exemplifies these challenges, as morphological traits often vary within and among species, complicating taxonomic efforts. Traditional methods based on skeletal characteristics are insufficient for delineating Acropora species, prompting the use of integrative approaches combining morphology, reproduction, and molecular data. In this study, we employ multi-locus phylogenetic analyses and morphometric measurements to distinguish different growth forms of Acropora cf. solitaryensis as distinct species and delineate the species range boundaries of A. aff. divaricata and A. cf. solitaryensis in East Asian coral ecosystems. We identify arborescent and intermediate morphotypes belonging to A. aff. divaricata , which is distributed from tropical reefs in southeastern Taiwan to temperate non-reefal communities in Shikoku, Japan. Conversely, the solid-plate morphotype aligns with A. cf. solitaryensis from the holotype locality at Solitary Island, Australia, found primarily in subtropical non-reefal regions in northern Taiwan and Japan. The distinct distribution patterns of A. aff. divaricata and A. cf. solitaryensis underscore the necessity for biogeographic sampling in Acropora taxonomy, considering the Kuroshio Current’s impact on coral distributions, and a re-evaluation of poleward coral migration or expansion due to climate change. Our findings challenge the traditional taxonomy of A. aff. divaricata and A. cf. solitaryensis , revealing that they may instead encompass multiple species. This has significant implications for coral conservation strategies, as accurate species identification is crucial for understanding coral responses to environmental changes and informing conservation efforts in the face of climate change.

(1) Background: Eco−spatial networks play an important role in enhancing ecosystem services and landscape connectivity. It is necessary to study landscape structure optimization to achieve synergistic gains in network connectivity and ecosystem functionality. (2) Method: Based on remote sensing data, RS and GIS were used to evaluate the spatiotemporal changes in ecosystem services in China. Combined with complex network theory, the spatiotemporal evolution of China’s ecological spatial network and its topological structure from 2005 to 2020 is discussed. Network function–structure co−optimization was carried out using the edge augmentation strategy. (3) Result: The “three River resource” has high water conservation and high soil and water conservation in southeastern hilly areas. There is strong windbreak and sand fixation in southeastern Inner Mongolia. In the past 15 years, there have been about 8200 sources and about 14,000 corridors. The network has the characteristics of small−world and heterogeneity. After optimization, 18 sources and 3180 corridors are added, and the network connectivity and robustness are stronger. Finally, five regions are divided according to the network heterogeneity and corresponding protection and management countermeasures are proposed to provide scientific guidance for the country’s territorial space planning.

Habitat destruction and declining ecosystem service levels caused by urban expansion have led to increased ecological risks in cities, and ecological network optimization has become the main way to resolve this contradiction. Here, we used landscape patterns, meteorological and hydrological data as data sources, applied the complex network theory, landscape ecology, and spatial analysis technology, a quantitative analysis of the current state of landscape pattern characteristics in the central district of Harbin was conducted. The minimum cumulative resistance was used to extract the ecological network of the study area. Optimized the ecological network by edge-adding of the complex network theory, compared the optimizing effects of different edge-adding strategies by using robustness analysis, and put forward an effective way to optimize the ecological network of the study area. The results demonstrate that: The ecological patches of Daowai, Xiangfang, Nangang, and other old districts in the study area are small in size, fewer in number, strongly fragmented, with a single external morphology, and high internal porosity. While the ecological patches in the new districts of Songbei, Hulan, and Acheng have a relatively good foundation. And ecological network connectivity in the study area is generally poor, the ecological corridors are relatively sparse and scattered, the connections between various ecological sources of the corridors are not close. Comparing different edge-adding strategies of complex network theory, the low-degree-first strategy has the most outstanding performance in the robustness test. The low-degree-first strategy was used to optimize the ecological network of the study area, 43 ecological corridors are added. After the optimization, the large and the small ecological corridors are evenly distributed to form a complete network, the optimized ecological network will be significantly more connected, resilient, and resistant to interference, the ecological flow transmission will be more efficient.

The Gulf of Naples located in a high anthropized coastal area is subjected to an infrastructural intervention for the installation of a submarine power pipeline. In order to evaluate the distribution of contaminants in the seafloor sediments, a preliminary study has been conducted in the area using multivariate techniques. The statistic approach was performed to gain insights on the occurrence of organic and inorganic contaminants within the area, aiming to identify the relevant hot spots. Three geographical sub-areas influenced by different contaminant association were recognized: Torre Annunziata (TA), Capri (CA), and middle offshore (MO). TA and CA resulted marked by a severe contamination pattern due to anthropogenic pressures. In addition, the influence of the depositional basin in governing the contamination trend has been pointed out. The supervised technique PLS_DA resulted to be a powerful tool in addressing the complexity of the huge dataset acquired during the marine survey, highlighting the main trends in the variability of quality indicators, orienting thus the deeper investigations during follow-up monitoring activities.

The Arabian Peninsula accounts for approximately 6% of the world’s coral reefs. Some thrive in extreme environments of temperature and salinity. Using 51 Autonomous Reef Monitoring Structure (ARMS), a standardized non-destructive monitoring device, we investigated the spatial patterns of coral reef cryptobenthic diversity in four ecoregions around the Arabian Peninsula and analyzed how geographical and/or environmental drivers shape those patterns. The mitochondrial cytochrome c oxidase subunit I (COI) gene was used to identify Amplicon Sequence Variants and assign taxonomy of the cryptobenthic organisms collected from the sessile and mobile fractions of each ARMS. Cryptobenthic communities sampled from the two ecoregions in the Red Sea showed to be more diverse than those inhabiting the Arabian (Persian) Gulf and the Gulf of Oman. Geographic distance revealed a stronger relationship with beta diversity in the Mantel partial correlation than environmental distance. However, the two mobile fractions (106–500 µm and 500–2000 µm) also had a significant correlation between environmental distance and beta diversity. In our study, dispersal limitations explained the beta diversity patterns in the selected reefs, supporting the neutral theory of ecology. Still, increasing differences in environmental variables (environmental filtering) also had an effect on the distribution patterns of assemblages inhabiting reefs within short geographic distances. The influence of geographical distance in the cryptofauna assemblages makes these relevant, yet usually ignored, communities in reef functioning vulnerable to large scale coastal development and should be considered in ecosystem management of such projects.

Natural resources such as waterbodies, public parks, and wildlife refuges attract people from varying distances on the landscape, creating “social-ecological catchments.” Catchments have provided great utility for understanding physical and social relationships within specific disciplines. Yet, catchments are rarely used across disciplines, such as its application to understand complex spatiotemporal dynamics between mobile human users and patchily distributed natural resources. We collected residence ZIP codes from 19,983 angler parties during 2014–2017 to construct seven angler–waterbody catchments in Nebraska, USA. We predicted that sizes of dense (10% utilization distribution) and dispersed (95% utilization distribution) angler–waterbody catchments would change across seasons and years as a function of diverse resource selection among mobile anglers. Contrary to expectations, we revealed that catchment size was invariant. We discuss how social (conservation actions) and ecological (low water quality, reduction in species diversity) conditions are expected to impact landscape patterns in resource use. We highlight how this simple concept and user-friendly technique can inform timely landscape-level conservation decisions within coupled social-ecological systems that are currently difficult to study and understand.

The soil microbiome is a complex system that encompasses millions of microbes including archaea, bacteria, fungi, protozoa and viruses. The role of abiotic factors is crucial in shaping the distribution patterns of microorganisms, its abundance and also the interactions between species, from local to the global level. In the particular case of the vineyard, the microbial communities have a potential impact in both the grapevine development and health and, later on, in the grape production and quality. The present review focuses on how the composition of soil microbial communities is influenced by climate and several edaphic factors, such as soil moisture, soil nutrients and soil pH. It also discusses the role of microorganisms and their metabolic activity on the fermentation process, influencing the sensorial characterisation of the wine and suggesting the definition of a microbial terroir.