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Conservation Scientists

Occupation · SOC 19-1031.00

Manage, improve, and protect natural resources to maximize their use without damaging the environment. May conduct soil surveys and develop plans to eliminate soil erosion or to protect rangelands. May instruct farmers, agricultural production managers, or ranchers in best ways to use crop rotation, contour plowing, or terracing to conserve soil and water; in the number and kind of livestock and forage plants best suited to particular ranges; and in range and farm improvements, such as fencing and reservoirs for stock watering.

Also called: Conservationist · Land Resource Specialist · Research Soil Scientist · Resource Conservationist · Environmental Analyst · Environmental Quality Scientist · Erosion Control Specialist · Land Reclamation Specialist · Resource Conservation Specialist · Soil Conservationist · Agricultural Consultant · Agriculture Consultant

Job family: Life, Physical, and Social Science Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-19-1031-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

57th-percentile task overlap — yet about 2,500 openings a year (+3.4% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 50th 0.1
LLM task exposure, γ (OpenAI / Eloundou) High 73rd 0.9
AI assistant applicability (Microsoft) Moderate 52nd 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.4), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.0 · 12th percentile among occupations · Low

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Identify or recommend integrated weed and pest management (IPM) strategies, such as resistant plants, cultural or behavioral controls, soil amendments, insects, natural enemies, barriers, or pesticides. 0.7%
Review grant applications or make funding recommendations. 0.6%
Conduct fact-finding or mediation sessions among government units, landowners, or other agencies to resolve disputes. 0.3%
Plan soil management or conservation practices, such as crop rotation, reforestation, permanent vegetation, contour plowing, or terracing, to maintain soil or conserve water. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +3.4% by 2034
Projected annual openings 2,500
Employment 2024 → 2034 28,500 → 29,500

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

38% mean task exposure (2025)
74th percentile of 427 placed occupations
+3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Environmental Protection Professionals · 2133 38% Minimal

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

English Language 4.3
Biology 3.9
Mathematics 3.7
Geography 3.7
Customer and Personal Service 3.6
Chemistry 3.5
Law and Government 3.5
Computers and Electronics 3.4
Engineering and Technology 3.3
Education and Training 3.3

Abilities

Oral Comprehension 4.1
Written Comprehension 4.0
Oral Expression 3.9
Problem Sensitivity 3.8
Deductive Reasoning 3.8
Information Ordering 3.8
Written Expression 3.6
Inductive Reasoning 3.5
Speech Clarity 3.5
Category Flexibility 3.4
Flexibility of Closure 3.4
Near Vision 3.4
Speech Recognition 3.4
Fluency of Ideas 3.3
Originality 3.3
Mathematical Reasoning 3.3
Number Facility 3.3

Essential skills

Reading Comprehension 3.9
Active Listening 3.9
Speaking 3.6
Writing 3.5
Science 3.5
Critical Thinking 3.5
Active Learning 3.3
Monitoring 3.3
Mathematics 3.1

Transferable skills

Complex Problem Solving 3.6
Social Perceptiveness 3.3
Judgment and Decision Making 3.3
Time Management 3.3

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 41.

Tools & technology

Example Category
ESRI ArcGIS software Geographic information system Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
Adobe Acrobat Document management software Hot technology
Autodesk AutoCAD Computer aided design CAD software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Active Server Pages ASP Web platform development software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Autodesk Maya Graphics or photo imaging software
Clover Technology GALENA Analytical or scientific software
CroPMan Data base user interface and query software
CropSyst Suite Analytical or scientific software
Datasurge GEOPRO Analytical or scientific software
Delft GeoSystems MStab Analytical or scientific software
Email software Electronic mail software
ESRI ArcInfo Geographic information system
ESRI ArcView Geographic information system
GEO-SLOPE SEEP/W Analytical or scientific software
Geographic information system GIS software Geographic information system
Geographic information system GIS systems Geographic information system
GFA2D Analytical or scientific software
Global positioning system GPS software Mobile location based services software
HYDRUS-2D Analytical or scientific software
Interstudio Geo-Tec B Analytical or scientific software
Landscape Management System LMS Analytical or scientific software
Mitre Software GSLOPE Analytical or scientific software
Salix Applied Earthcare Erosion Draw Analytical or scientific software
State Soil Geographic STATSGO Database Data base user interface and query software
Studio of Analytical Models STANMOD Analytical or scientific software
U.S. Department of Agriculture USDA WinSRM Analytical or scientific software
USDA Forest Vegetation Simulator FVS Analytical or scientific software
Water resources databases Data base user interface and query software
Water Soil and Hydro-Environmental Decision Support System WATERSHEDSS Analytical or scientific software
Web browser software Internet browser software
WinEPIC Analytical or scientific software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

E-Mail 5.0
Telephone Conversations 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.4
Freedom to Make Decisions 4.1
In an Enclosed Vehicle or Operate Enclosed Equipment 4.0
Contact With Others 3.9
Work With or Contribute to a Work Group or Team 3.9
Deal With External Customers or the Public in General 3.9
Outdoors, Exposed to All Weather Conditions 3.9
Determine Tasks, Priorities and Goals 3.9
Indoors, Environmentally Controlled 3.7
Importance of Being Exact or Accurate 3.7
Written Letters and Memos 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.6
Time Pressure 3.3
Health and Safety of Other Workers 3.2
Spend Time Sitting 3.2
Indoors, Not Environmentally Controlled 3.1
Impact of Decisions on Co-workers or Company Results 3.1
Work Outcomes and Results of Other Workers 3.1
Importance of Repeating Same Tasks 3.0
Frequency of Decision Making 3.0
Exposed to Very Hot or Cold Temperatures 3.0
Physical Proximity 2.9
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.9
Outdoors, Under Cover 2.8
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.6
Level of Competition 2.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.6
Exposed to Minor Burns, Cuts, Bites, or Stings 2.5
Spend Time Standing 2.5
Public Speaking 2.5
Consequence of Error 2.5
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.4
Exposed to Contaminants 2.4
Dealing With Unpleasant, Angry, or Discourteous People 2.3
In an Open Vehicle or Operating Equipment 2.3
Spend Time Walking or Running 2.3
Conflict Situations 2.1
Degree of Automation 2.1

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Agriculture, Agriculture Operations, and Related Sciences , Biological and Biomedical Sciences , Multi/Interdisciplinary Studies , Natural Resources and Conservation . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 69.6%
Master's Degree 13.0%
Post-Baccalaureate Certificate 8.7%
Post-Secondary Certificate 4.3%
Doctoral Degree 4.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Nature/Outdoors 6.5
Agriculture 4.8
Life Science 4.4
Physical Science 3.8
Mathematics/Statistics 3.1
Management/Administration 2.7
Public Speaking 2.7

Work styles

Dependability 6.0
Attention to Detail 5.0
Integrity 4.0
Cautiousness 3.0

Career interests (Holland / RIASEC)

Investigative 5.7
Realistic 5.2
Conventional 4.0
Enterprising 3.2
Social 2.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$45k10th$53k25th$68kMedian$88k75th$108k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
29k202430k2034 (proj.)+3.4% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $45,260
25th percentile $53,190
Median (50th) $67,950
75th percentile $87,980
90th percentile $107,720
People employed 25,590

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Other Services (except Public Administration) · Sector 5,250 $62,940
Professional, Scientific, and Technical Services · Sector 1,170 $72,010
Educational Services · Sector 830 $64,110
Arts, Entertainment, and Recreation · Sector 330 $49,980
Engineering Services · National industry 270 $76,020
Testing Laboratories and Services · National industry 90 $66,330
Administrative and Support and Waste Management and Remediation Services · Sector 50 $76,990
Real Estate and Rental and Leasing · Sector $77,590

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Other Services (except Public Administration) · Sector 7.15× 5,250
Engineering Services · National industry 1.41× 270
Arts, Entertainment, and Recreation · Sector 0.75× 330
Professional, Scientific, and Technical Services · Sector 0.65× 1,170
Educational Services · Sector 0.37× 830

Part of the Energy & Natural Resources and Public Service & Safety career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Conservation Scientists sits at the 57th percentile of AI task-overlap and the 58th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Conservation Scientists Forest and Conservation Technicians Foresters Brownfield Redevelopment Specialists and Site Managers Hydrologists Hydrologic Technicians Environmental Restoration Planners AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Conservation Scientists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 74th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Conservation Scientists show 57th-percentile AI task overlap — and about 2,500 annual U.S. openings

  • Conservation Scientists rank in the 57th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 2,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+3.4%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $67,950, across about 25,590 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Conservation Scientists show 57th-percentile AI task overlap — and about 2,500 annual U.S. openings

• Conservation Scientists rank in the 57th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 2,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+3.4%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $67,950, across about 25,590 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Conservation Scientists". https://singulariki.com/roles/role-19-1031-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Conservation Scientists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-19-1031-00

APA

Singulariki. (2026). Conservation Scientists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-1031-00

BibTeX
@misc{singulariki-role-19-1031-00,
  title  = {Conservation Scientists},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-19-1031-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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