358 research outputs found
Local Employment Growth, Migration, and Public Land Policy: Evidence from the Northwest Forest Plan
Debates over protecting public land reveal two views. Some argue protection reduces commodity production, reducing local employment and increasing out-migration. Others contend protection produces amenities that support job growth and attract migrants. We test these competing views for the Northwest Forest Plan (NWFP), which reallocated 11 million acres of federal land from timber production to protecting old-growth forest species. We find evidence that land protection directly reduced local employment growth and increased net migration. The total negative effect on employment was offset only slightly by positive migration-driven effects. Employment losses were concentrated in metropolitan counties, but percentage losses were higher in rural counties.amenities, employment growth, migration, Northwest Forest Plan, oldgrowth forests, public land management, Community/Rural/Urban Development, Land Economics/Use,
How host organizations prepare for and learn from expatriate assignments
© 2019 Wiley Periodicals, Inc. This article reveals what goes on inside host organizations prior to and during expatriate assignments. On the basis of analyzing organizational documents and conducting 43 interviews with host country nationals (HCNs) and expatriates in 30 Vietnamese organizations that host external foreign assignments, we provide a detailed account of HCNs' experiences and unearth sophisticated preparation and management activities designed to maximize these organizations' learning. We depict what we call “a host organization lifecycle” and extract five lessons: (a) host organizations prepare carefully in advance to learn as much as possible from expatriates; (b) HCNs experience quite dramatic adjustments and burdens during expatriates' placements; (c) mutual trust between expatriates and HCNs is a prerequisite for HCNs' learning; (d) most of HCNs' learning occurs informally via interactions with expatriates or observing how they work; (e) host organization managers actively manage HCN–expatriate relationships. Our findings outline a “wish list” of practices that expatriate-using organizations could consider deploying for expatriate assignments that focus on the benefit of the host organization' development
Metagenomic assembly is the main bottleneck in the identification of mobile genetic elements
Antimicrobial resistance genes (ARG) are commonly found on acquired mobile genetic elements (MGEs) such as plasmids or transposons. Understanding the spread of resistance genes associated with mobile elements (mARGs) across different hosts and environments requires linking ARGs to the existing mobile reservoir within bacterial communities. However, reconstructing mARGs in metagenomic data from diverse ecosystems poses computational challenges, including genome fragment reconstruction (assembly), high-throughput annotation of MGEs, and identification of their association with ARGs. Recently, several bioinformatics tools have been developed to identify assembled fragments of plasmids, phages, and insertion sequence (IS) elements in metagenomic data. These methods can help in understanding the dissemination of mARGs. To streamline the process of identifying mARGs in multiple samples, we combined these tools in an automated high-throughput open-source pipeline, MetaMobilePicker, that identifies ARGs associated with plasmids, IS elements and phages, starting from short metagenomic sequencing reads. This pipeline was used to identify these three elements on a simplified simulated metagenome dataset, comprising whole genome sequences from seven clinically relevant bacterial species containing 55 ARGs, nine plasmids and five phages. The results demonstrated moderate precision for the identification of plasmids (0.57) and phages (0.71), and moderate sensitivity of identification of IS elements (0.58) and ARGs (0.70). In this study, we aim to assess the main causes of this moderate performance of the MGE prediction tools in a comprehensive manner. We conducted a systematic benchmark, considering metagenomic read coverage, contig length cutoffs and investigating the performance of the classification algorithms. Our analysis revealed that the metagenomic assembly process is the primary bottleneck when linking ARGs to identified MGEs in short-read metagenomics sequencing experiments rather than ARGs and MGEs identification by the different tools
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