Available water capacity and organic carbon storage profiles in soils developed from dark brown soil to boggy soil in Changbai Mountains, China | Dandan Yu, Feilong Hu, Kun Zhang, Li Liu, Danfeng Li | Agricultural Journals

Dendrobium loddigesii is a precious traditional Chinese medicine with high medicinal and ornamental value. However, the characterization of its mitochondrial genome is still pending. Here, we assembled the complete mitochondrial genome of D. loddigesii and discovered that its genome possessed a complex multi-chromosome structure. The mitogenome of D. loddigesii consisted of 17 circular subgenomes, ranging in size from 16,323 bp to 56,781 bp. The total length of the mitogenome was 513,356 bp, with a GC content of 43.41%. The mitogenome contained 70 genes, comprising 36 protein-coding genes (PCGs), 31 tRNA genes, and 3 rRNA genes. Furthermore, we detected 403 repeat sequences as well as identified 482 RNA-editing sites and 8154 codons across all PCGs. Following the sequence similarity analysis, 27 fragments exhibiting homology to both the mitogenome and chloroplast genome were discovered, accounting for 9.86% mitogenome of D. loddigesii. Synteny analysis revealed numerous sequence rearrangements in D. loddigesii and the mitogenomes of related species. Phylogenetic analysis strongly supported that D. loddigesii and D. Amplum formed a single clade with 100% bootstrap support. The outcomes will significantly augment the orchid mitochondrial genome database, offering profound insights into Dendrobium’s intricate mitochondrial genome architecture.

Background and Objectives. Systemic resilience to multi-hazards requires addressing interdependencies between ecological and climatic risks, yet current frameworks often treat environmental and societal dynamics in isolation. This study synthesizes evidence from a decade of global risk assessments (WEF Global Risks Reports, 2016–2025) and IPBES-IPCC scientific evaluations to propose an integrated "risk-nexus" governance framework. We aim to: (1) delineate cascading pathways between climate-biodiversity risks and socioeconomic systems; (2) identify tipping points in critical ecosystems (e.g., coral reefs, tropical forests, peatlands) that amplify multi-hazard impacts; and (3) evaluate strategies for enhancing systemic resilience through synergistic interventions. Methods. We analyzed time-series data from WEF reports on risk severity, interconnectedness, and cascading patterns, complemented by IPBES-IPCC case studies on threshold-driven ecosystems. Network analysis was used to map risk propagation pathways, while a scenario-based approach assessed the efficacy of Nature-based Solutions (NbS), adaptive governance, and early-warning systems in mitigating compound hazards. Key Findings. (i) Risk Coupling: Extreme weather, biodiversity loss, and ecosystem collapse exhibit strong clustering in global risk networks, acting as core nodes that amplify food, water, and health crises; (ii)Threshold Effects: Ecosystems like coral reefs (at 1.5°C warming) and Amazon forests (at 20–25% deforestation) face nonlinear collapse, triggering cascading socioecological disruptions. (iii) Synergistic Strategies: NbS—such as coastal mangrove restoration and forest landscape resilience—simultaneously mitigate hazards, sequester carbon, and sustain livelihoods when embedded in adaptive governance. Early-warning systems tied to ecological thresholds (e.g., soil moisture, heat stress indices) reduce latency in response. Conclusions and Relevance. Systemic resilience hinges on bridging siloed risk management via a "risk identification–threshold warning–response decision" framework. This approach aligns climate adaptation, biodiversity conservation, and disaster risk reduction, offering actionable pathways for multi-hazard resilience. Our findings underscore the need to integrate ecological thresholds into policy triggers and prioritize nexus governance to navigate polycrisis contexts. Keywords: Systemic Resilience, Multi-Hazards, Climate-Biodiversity Nexus, Thresholds, Nature-based Solutions, Cascading Risks.