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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
ℹ️

Data is based on the reference occupation: “Range Managers”

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Core Skills & Abilities

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

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

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

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

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

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

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

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

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

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

  • Plan and implement revegetation of disturbed sites.

  • 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.

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

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

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

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

Technologies & Software

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