Question 1

What are the key details for the project “BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data”?

Accepted Answer

The project “BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data” is an infrastructure initiative in the Consumer Products sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

Question 2

What is the latest status of the project “BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data”?

Accepted Answer

The status recorded for “BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data” is archived.

Question 3

Who are the main government, EPC, and private stakeholders for “BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data”?

Accepted Answer

Taiyo maps the stakeholders of “BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data”: government bodies (Bureau of Land Management, United States Department of the Interior (DOI), US Government).

Question 4

What is the budget and commercial profile for the project “BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data”?

Accepted Answer

Taiyo normalizes the budget of “BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data” to USD 25000.

Question 5

Where can I verify the source and access all details for “BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data”?

Accepted Answer

This Taiyo project page references Grants.gov along with the original URL (https://www.grants.gov/web/grants/view-opportunity.html?oppId=293620). Taiyo standardizes official data into a consistent, searchable project profile.

Sponsoring Agency	Obfuscated Data
Company	Obfuscated Data

Original status	archived
Taiyo status	Obfuscated Data
Taiyo last update	00-00-0000
Available timestamps	00-00-0000
Available timestamp type	Obfuscated Data

Contact name	Obfuscated Data
Phone	0000000000
Email	ObfuscatedData@email.com
Address	Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description	The GSENM managed by BLM is looking to enter into a multi-year agreement with a partner to investigate cattle grazing distribution using GPS technology, across a gradient of slope and vegetation types. To better understand how vegetation restoration treatments are influencing forage availability and how efficiently cattle utilize the available forage.
Original sub-sector	Obfuscated
Original Currency	USD
Original budget	000000000000000
Procurement method	Obfuscated Data
Budget	000000000000000

Region	Obfuscated
Country	Obfuscated
State	Obfuscated Data
County	Obfuscated
Location	Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source reliability	High
Data quality score	100%
Source	Obfuscated Data
URL	obfuscated_data,obfuscateddata.com

Project Type	Obfuscated Data
Article Published Date	Obfuscated Data

BLM-UT, Grand Staircase Escalante National Monument Scientific Study to Employ GPS Technology to Understand Livestock Distribution, Grazing Practices, and Statistical Analysis of Rangeland Data

Project Information FAQ

Project Information