Forest and Conservation Technicians
Life, Physical, and Social Science Occupations- O*NET-SOC कोड
- 19-4071.00
Provide technical assistance regarding the conservation of soil, water, forests, or related natural resources. May compile data pertaining to size, content, condition, and other characteristics of forest tracts under the direction of foresters, or train and lead forest workers in forest propagation and fire prevention and suppression. May assist conservation scientists in managing, improving, and protecting rangelands and wildlife habitats.
पेशों के नाम और कार्य-विवरण प्रकाशित रूप में अंग्रेज़ी में दिखाए जाते हैं। लेबल, जिनमें कार्य-प्रकार भी शामिल हैं, अनूदित हैं।
AI एक्सपोजर
- डेटा स्रोत: BLSप्रकाशन: 2026-08
मध्यम· सापेक्ष
कमचार सापेक्ष श्रेणियाँबहुत उच्चव्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)
BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
- डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.022
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
प्रेक्षित एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
O*NET कार्यों पर मैप किया गया
SOC 2018 व्यवसाय के स्तर पर प्रकाशित; समान SOC 2018 कोड वाले हर O*NET व्यवसाय को यही मान मिलता है
- डेटा स्रोत: ILOप्रकाशन: 2025
0.21
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 इकाई समूह के स्तर पर प्रकाशित मान। अमेरिकी श्रम सांख्यिकी ब्यूरो (BLS) की आधिकारिक क्रॉसवॉक तालिकाओं (ISCO-08 से 2010 SOC, 2010 SOC से 2018 SOC) को प्रकाशित रूप में लागू करके इस व्यवसाय से जोड़ा गया है; यह मिलान पूर्ण या आंशिक है
यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
AI एक्सपोज़र (OpenAI रूब्रिक)
21 मूल्यांकित कार्य · β ≥ 0.5 वाले 13 कार्य (61.9%)
β = प्रत्यक्ष एक्सपोजर (E1) + 0.5 × उपकरण उपलब्ध होने पर एक्सपोजर (E2), स्रोत रिपॉजिटरी की परिभाषा के अनुसार।
- स्रोत इकाई: O*NET 27.2 के कार्य → O*NET 31.0 का पेशा कोड
- 1 मूल्यांकित कार्य O*NET 31.0 की कार्य-सूची में नहीं है; उसका स्कोर O*NET 27.2 के लिए प्रकाशित रूप में रखा गया है।
- स्रोत
- OpenAI "GPTs are GPTs" exposure rubric
- संस्करण
- gh-main-0471612
- लाइसेंस
- MIT License, Copyright (c) 2024 OpenAI
कार्य
O*NET® 31.0 Database के कार्य-विवरण, मुख्य कार्य पहले।
| कार्य | प्रकार | β (OpenAI) |
|---|---|---|
| Train and lead forest and conservation workers in seasonal activities, such as planting tree seedlings, putting out forest fires, and maintaining recreational facilities. | मुख्य | 0 |
| Thin and space trees and control weeds and undergrowth, using manual tools and chemicals, or supervise workers performing these tasks. | मुख्य | 0 |
| Patrol park or forest areas to protect resources and prevent damage. | मुख्य | 0 |
| Provide information about, and enforce, regulations, such as those concerning environmental protection, resource utilization, fire safety, and accident prevention. | मुख्य | 0.5 |
| Map forest tract data using digital mapping systems. | मुख्य | 0.5 |
| Monitor activities of logging companies and contractors. | पूरक | 0.5 |
| Select and mark trees for thinning or logging, drawing detailed plans that include access roads. | पूरक | 0.5 |
| Manage forest protection activities, including fire control, fire crew training, and coordination of fire detection and public education programs. | पूरक | 0.5 |
| Survey, measure, and map access roads and forest areas such as burns, cut-over areas, experimental plots, and timber sales sections. | पूरक | 0.5 |
| Keep records of the amount and condition of logs taken to mills. | पूरक | 1 |
| Supervise forest nursery operations, timber harvesting, land use activities such as livestock grazing, and disease or insect control programs. | पूरक | 0 |
| Issue fire permits, timber permits, and other forest use licenses. | पूरक | 0.5 |
| Develop and maintain computer databases. | पूरक | 1 |
| Measure distances, clean sightlines, and record data to help survey crews. | पूरक | 0.5 |
| Plan and supervise construction of access routes and forest roads. | पूरक | 0 |
| Provide forestry education and general information, advice, and recommendations to woodlot owners, community organizations, and the general public. | पूरक | 0.5 |
| Perform reforestation or forest renewal, including nursery and silviculture operations, site preparation, seeding and tree planting programs, cone collection, and tree improvement. | पूरक | 0 |
| Conduct laboratory or field experiments with plants, animals, insects, diseases, and soils. | पूरक | 0 |
| Provide technical support to forestry research programs in areas such as tree improvement, seed orchard operations, insect and disease surveys, or experimental forestry and forest engineering research. | पूरक | 0.5 |
| Inspect trees and collect samples of plants, seeds, foliage, bark, and roots to locate insect and disease damage. | पूरक | 0 |
व्यावसायिक जानकारी
स्रोत और श्रेय
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 19-4071.00 Forest and Conservation Technicians
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.