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Related Concept Videos

Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Data Collection by Survey01:07

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection I01:30

Data Collection I

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data Collection III01:05

Data Collection III

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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Data Collection II01:29

Data Collection II

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Softwoods and Hardwoods01:28

Softwoods and Hardwoods

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Softwoods and hardwoods, derived from different types of trees, are distinguished by their leaf structures and cellular compositions, each serving unique purposes in construction and manufacturing. Softwoods come from cone-bearing trees with needle-like leaves and are predominantly composed of longitudinal cells called tracheids and a smaller proportion of radial cells known as rays. Due to their cellular structure, softwoods are commonly used in construction for structural frames, sheathing,...
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The data not collected on community forestry.

Reem Hajjar1, Johan A Oldekop2,3, Peter Cronkleton4

  • 1School of Natural Resources and Environment, The University of Michigan, 440 Church Street, Ann Arbor, MI, 48109, U.S.A.. rhajjar@umich.edu.

Conservation Biology : the Journal of the Society for Conservation Biology
|April 10, 2016
PubMed
Summary
This summary is machine-generated.

Community forestry initiatives show mixed results. More research is needed on socioeconomic, market, and biophysical factors influencing land-cover change and livelihoods, especially outside South Asia.

Keywords:
arreglos institucionalesbiophysical factorsbosques administrados por comunidadescaracterísticas socioeconómicascommunity-managed forestsfactores biofísicosinstitutional arrangementsmapa sistemáticomarketsmercadossocioeconomic characteristicssystematic map

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Area of Science:

  • Environmental Science
  • Development Studies
  • Forestry Management

Background:

  • Community forestry is promoted for ecosystem services, resource rights, and poverty reduction.
  • However, outcomes are inconsistent, with many initiatives failing to meet objectives.
  • Existing literature often overlooks socioeconomic, market, and biophysical influences on outcomes.

Purpose of the Study:

  • To systematically review the literature on community forestry.
  • To identify and quantify knowledge gaps regarding socioeconomic, market, and biophysical factors.
  • To assess factors influencing land-cover change and livelihood outcomes.

Main Methods:

  • Systematic review of peer-reviewed literature.
  • Analysis of 697 community forest management (CFM) cases from 267 publications.
  • Quantification of knowledge gaps related to specific factors.

Main Results:

  • Significant data gaps exist linking population dynamics, market forces, and biophysical characteristics to environmental and livelihood outcomes.
  • Most studies focus on environmental outcomes; socioeconomic outcomes are often qualitative and hard to compare.
  • Literature exhibits a strong bias towards South Asian forests, limiting global representativeness.

Conclusions:

  • Current understanding of community forestry is limited by data gaps and methodological biases.
  • Further research should integrate socioeconomic, market, and biophysical factors with environmental and livelihood outcomes.
  • Broader geographical scope is needed to understand global community forestry dynamics.