In northeastern America, thousands of kilometers of utility rights-of-way (ROWs) have to be managed to prevent the establishment of a tall vegetation cover that does not comply with safety and maintenance regulations. Recent decades have seen the emergence of ecologically based vegetation control strategies to reduce environmental impacts as well as maintenance costs. One such strategy is to take advantage of competitive herbaceous covers to limit tree invasion. This approach, however, as well as its fundamental underlying principles, has been little scrutinized. In this article, (1) we present the main ecological concepts supporting the use of a herbaceous cover to limit tree invasion, emphasizing naturally forested ecosystems of northeastern America. They include reported evidence of stable plant communities and an overview of potential underlying mechanisms of inhibition. (2) We then review field applications, specifically testing the ability of seeded herbaceous covers to control tree invasion in ROWs. (3) We discuss unresolved issues relevant to management and research. The available evidence suggests that seeding herbaceous covers in ROWs can help control tree invasion, but many issues still limit broad-scale applications. The various interactions that govern plant community dynamics are far from being fully understood, so selecting species still largely depends on an empirical approach. Patterns of resistance to tree invasion must be investigated over a wide range of spatial, historical, and environmental contexts to determine effective management and seeding practices that will lead to broad-scale applications. We suggest establishing communities rather than single dominant species and using as much as possible native species to limit risks of invasion.
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http://dx.doi.org/10.1007/s00267-004-0039-4 | DOI Listing |
Ann Surg
January 2025
Division of Minimally Invasive Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Clinicoecon Outcomes Res
January 2025
Department of Orthopaedic Surgery, UC San Francisco, San Francisco, CA, 94143-0728, USA.
Background/context: Chronic low back pain (CLBP) is a significant US healthcare burden with millions of lumbar spine procedures annually. Diagnostic tests are essential to guide treatment but provocative discography (PD), the most common diagnostic procedure, is without robust evidence of its value. A non-invasive alternative using Magnetic Resonance Spectroscopy (MRS) offers a potential solution.
View Article and Find Full Text PDFMed J Armed Forces India
April 2023
Commandant, Command Hospital (Eastern Command), Kolkata, India.
Carcinoid tumors are slow-growing tumors noticed in the tracheobronchial tree and pulmonary parenchyma. Generally, these tumors are slow growing with minimum risk of distant metastasis, but the atypical type of carcinoids has greater malignant potential with lower survival rates. The primary and most effective treatment for all pulmonary carcinoid tumors is surgical resection if no contraindications to surgery exist.
View Article and Find Full Text PDFPest Manag Sci
January 2025
Forest Research, Alice Holt Lodge, Farnham, UK.
Background: Ips typographus (L.), the eight-toothed spruce bark beetle (Coleoptera: Scolytinae), has devastated European Norway spruce (Picea abies) forests in recent years. For the first time, I.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Gastroenterology, Shanxi Hospital Affiliated to Carcinoma Hospital, Chinese Academy of Medical SciencesShanxi Province Carcinoma Hospital, Carcinoma Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, 030013, People's Republic of China.
Objective: To assess the effectiveness of a machine learning framework and nomogram in predicting progression-free survival (PFS) post-radical gastrectomy in patients with dMMR.
Method: Machine learning models and nomograms to forecast PFS in patients undergoing radical gastrectomy for nonmetastatic gastric cancer with dMMR. Independent risk factors were identified using Cox regression analysis to develop the nomogram.
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