FR 2021-01735

Overview

Title

Submission for OMB Review; Comment Request

Agencies

ELI5 AI

The Department of Agriculture is asking people what they think about a plan to take care of forests better, and they need people's help by February 26, 2021. They want to learn if their way is good for nature and the community.

Summary AI

The Department of Agriculture is seeking public comments on its information collection for the Collaborative Forest Landscape Restoration Program as part of an effort to assess its social, ecological, and economic impacts. The feedback will help with adaptive management and improve future forest restoration projects. People can submit their comments by February 26, 2021, through the reginfo.gov website, where they can find the survey under “Currently under 30-day Review—Open for Public Comments.” The survey targets individuals or households, with an estimated 2,330 respondents expected to participate annually, contributing to a total burden of 320 hours.

Type: Notice
Citation: 86 FR 7245
Document #: 2021-01735
Date:
Volume: 86
Pages: 7245-7246

AnalysisAI

The document is a notice from the Department of Agriculture, specifically seeking public comments on an information collection related to the Collaborative Forest Landscape Restoration Program (CFLRP). This program, initiated in 2010, involves collaboration among various stakeholders, such as local landowners, governments, and organizations, alongside the Forest Service to address comprehensive forest restoration across different landscapes. The purpose of this information collection is to measure the social, ecological, and economic impacts of these restoration efforts, which can in turn inform and enhance future projects through a process known as adaptive management.

Summary

The Collaborative Forest Landscape Restoration Program aims to foster collaborative efforts in managing and restoring forest landscapes across the United States. By gathering feedback from those involved or impacted, the Department hopes to evaluate the project's success and adapt strategies to improve outcomes. Public comments on the value, effectiveness, and burden of this information collection are invited through the reginfo.gov website by February 26, 2021. The survey, estimated to reach 2,330 participants, will involve both electronic and mail surveys contributing to 320 total burden hours each year.

Issues and Concerns

Several issues arise from this document:

  • Clarity and Transparency: While the notice centers on the Department of Agriculture, it ambiguously references broader "agencies" without clear context, which could be misleading. Furthermore, the total burden hours of 320 calculated from over 2,000 respondents lack a clear explanation, potentially underscoring a need for more detailed methodology.

  • Technical Language: The use of terms like "adaptive management" and "non-response bias" may not resonate with a general audience. Simplifying these concepts or providing definitions would promote broader understanding and engagement.

  • Stakeholder Benefits: The document could benefit from elaborating on how the collected information will directly accrue benefits to the public, such as enhancing agency performance or service outcomes. This addition would strengthen public support and trust.

  • Role of Collaborators: Mentioning the University of Montana's Bureau of Business and Economic Research without detailing its role adds an element of obscurity. Greater transparency about the university's functions can instill confidence in the process.

Impact on the Public

Broadly, this document emphasizes public involvement in governmental decision-making regarding environmental management. This participatory approach can ensure that the policies implemented reflect the will and concerns of those they impact. By providing their input, citizens have an opportunity to guide and shape effective forest restoration practices, promoting ecological sustainability and community well-being.

Impact on Stakeholders

For stakeholders directly involved in the CFLRP, this document may carry significant implications. The information collection and subsequent feedback can guide their collaboration with the Forest Service, offering a platform to voice concerns or suggest improvements. Additionally, the outcomes of this survey could inform future funding and policy decisions, directly affecting project scope and implementation. Conversely, unclear communication and lack of transparency may lead to concerns over process integrity among these stakeholders.

In summary, while the document serves an essential role in shaping environmental restoration efforts, addressing these issues could enhance its clarity and effectiveness, ensuring that all involved benefit from transparent and inclusive decision-making procedures.

Issues

  • • The document refers to 'agencies' but specifically focuses on the Department of Agriculture; references to other agencies may be misleading.

  • • The abstract section of the metadata is missing. This should provide a concise summary of the document's content.

  • • It is unclear from the text how the burden hours of 320 were calculated based on 2,330 respondents. Additional explanation could improve clarity.

  • • The use of technical terms like 'adaptive management' and 'non-response bias' might not be easily understood by all audiences. Simplification or definitions could be helpful.

  • • The notice does not provide specific examples of how the information collected will directly benefit the public or enhance agency performance. More justification could strengthen the proposal.

  • • The exact methods and questions of the 'Mail and Electronic Monitoring Survey' are not detailed; more transparency on what is being asked could ensure better understanding and trust.

  • • The role of the University of Montana's Bureau of Business and Economic Research and the College of Forestry and Conservation is mentioned but not explained in depth, which might be seen as lacking transparency about their involvement.

Statistics

Size

Pages: 2
Words: 875
Sentences: 30
Entities: 50

Language

Nouns: 289
Verbs: 81
Adjectives: 49
Adverbs: 8
Numbers: 32

Complexity

Average Token Length:
5.63
Average Sentence Length:
29.17
Token Entropy:
5.21
Readability (ARI):
23.46

Reading Time

about 3 minutes