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Automation Risk Analysis

Will “Forestry and Wildlife Manager” be Automated?

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AI Exposure Risk

49%

“Forestry and Wildlife Manager” will probably not be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 49% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

47%

“Forestry and Wildlife Manager” will probably not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 47% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Range Managers, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Research or study range land management practices to provide sustained production of forage, livestock, and wildlife.

Job Title & Hierarchy Code (SOC) Range Managers #19-1031.02
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Data is based on the reference occupation: “Range Managers”

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Core Skills & Abilities

  • Develop technical standards and specifications used to manage, protect, and improve the natural resources of range lands and related grazing lands.

  • Manage forage resources through fire, herbicide use, or revegetation to maintain a sustainable yield from the land.

  • Study grazing patterns to determine number and kind of livestock that can be most profitably grazed and to determine the best grazing seasons.

  • Mediate agreements among rangeland users and preservationists as to appropriate land use and management.

  • Regulate grazing, such as by issuing permits and checking for compliance with standards, and help ranchers plan and organize grazing systems to manage, improve, protect, and maximize the use of rangelands.

  • Tailor conservation plans to landowners' goals, such as livestock support, wildlife, or recreation.

  • Offer advice to rangeland users on water management, forage production methods, and control of brush.

  • Develop methods for protecting range from fire and rodent damage and for controlling poisonous plants.

  • Develop new and improved instruments and techniques for activities, such as range reseeding.

  • Measure and assess vegetation resources for biological assessment companies, environmental impact statements, and rangeland monitoring programs.

  • Plan and implement revegetation of disturbed sites.

  • Study forage plants and their growth requirements to determine varieties best suited to particular range.

  • Plan and direct construction and maintenance of range improvements, such as fencing, corrals, stock-watering reservoirs, and soil-erosion control structures.

  • Coordinate with federal land managers and other agencies and organizations to manage and protect rangelands.

  • Study rangeland management practices and research range problems to provide sustained production of forage, livestock, and wildlife.

  • Maintain soil stability and vegetation for non-grazing uses, such as wildlife habitats and outdoor recreation.

Technologies & Software

  • USDA Database for Inventory, Monitoring and Assessment (DIMA)
  • National Resources Conservation Service Web Soil Survey WSS
  • FlamMap
  • Fire Spread Probability FSPro
  • Automated Geospatial Watershed Assessment AGWA
  • University of Arizona RangeView
  • Scite AI
  • The Nature Conservancy Weed Information Management System WIMS
  • Geographic information system GIS systems
  • Microsoft Great Plains Personal Data Keeper
  • ESSA TechnologiesTool for Exploratory Landscape Scenario Analyses TELSA
  • RSAC Riparian Mapping Tool
  • Clark Labs IDRISI Selva
  • GNU Image Manipulation Program GIMP
  • Global positioning system GPS software
  • Facebook
  • Perplexity AI
  • ESRI ArcGIS software
  • Mistral AI (chat/models)
  • CorridorDesigner
  • Leica Geosystems ERDAS IMAGINE
  • Microsoft PowerPoint
  • Microsoft Active Server Pages ASP
  • National Resources Conservation Service Ecological Site Information System ESIS
  • Aquatic Plant Information Retrieval System APIRS
  • Microsoft Office software
  • Python
  • Microsoft Word
  • Claude (Anthropic)
  • SAS
  • Elicit
  • Fuel Characteristic Classification System FCCS
  • Microsoft Excel
  • ESSA Technologies Path Landscape Model
  • NotebookLM (Google)
  • FEAT/Firemon integrated FFI
  • Linux
  • USDA NRCS Soil Data Viewer
  • Gemini for Workspace
  • Viper Tools
  • Parbat
  • USDA NRCS VegSpec
  • Adobe Photoshop
  • Satellite image databases
  • Consensus
  • FARSITE
  • Microsoft Access
  • Microsoft Windows
  • The MathWorks MATLAB
  • BehavePlus
  • Data mining software
  • UNIX
  • Perl
  • ESRI software
  • United Nations Food and Agriculture Organization Livestock and Environment Toolbox LEAD
  • Word processing software
  • Oracle Java
  • USDA Comet
  • R
  • USDA SamplePoint
  • Semantic Scholar AI
  • Geographic resources analysis support system GRASS
  • National Resources Conservation Service Grazing Spatial Analysis Tool
  • Soil sampling scoops
  • Portable dataloggers
  • Quadrat frames
  • Plant canopy analyzers
  • Robel poles
  • Personal computers
  • Double-ring infiltrometers
  • Desktop computers
  • Laptop computers
  • Compact digital cameras
  • Single-ring infiltrometers
  • Impact penetrometers
  • Global positioning system GPS devices
  • Measuring tapes
  • Laser plumb bobs
  • Strain gauges
  • Stereoscopes
  • Hand sieves
  • Tablet computers
  • Gram scales