Global Warming and Agriculture
Global Warming and Agriculture

Author: William R Cline

Publisher: Columbia University Press

Published: 2007-07-30

Total Pages: 203

ISBN-13: 0881324809

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How will global warming affect developing countries, which rely heavily on agriculture as a source of economic growth? William Cline asserts that developing countries have more at risk, such as their production capacity, than industrial countries as global warming worsens. Using general circulation models, Cline boldly examines 2071–99 to forecast the effects of global warming and its economic impact into the next decade. This detailed study outlines existing studies on climate change; Cline finds the Stern Report for the UK government's estimates most reliable; estimates projected changes in temperature, precipitation, and agricultural capacity; and concludes with policy recommendations. Cline finds that agricultural production in developing countries may fall an average of 16 percent, and if global warming progresses at its current rate, India's agricultural capacity could fall as much as 40 percent. Thus, policymakers should address this phenomenon now before the world's developing countries are adversely and irreversibly affected.

U. S. Farmland Ownership, Tenure, and Transfer
U. S. Farmland Ownership, Tenure, and Transfer

Author: Daniel Bigelow

Publisher:

Published: 2016-09-28

Total Pages: 53

ISBN-13: 9781457863486

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Farmland tenure shapes many farm decisions, including those related to production, conservation, and succession planning. The relatively advanced age of many farmers raises questions abut land ownership, especially how land will be transferred to the next generation of agricultural landowners and operators. This study provides a descriptive baseline analysis of land ownership and then focuses on more detailed aspects of land tenure, including non-operator landlords, rental agreements, the acquisition and transfer of land, and how decisionmaking is shared by landlords and their tenants. The report is designed to support broad discussions related to agricultural land ownership and to provide a starting point for more detailed statistical analysis. Figures and tables. This is a print on demand report.

Improving Crop Estimates by Integrating Multiple Data Sources
Improving Crop Estimates by Integrating Multiple Data Sources

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2018-01-26

Total Pages: 149

ISBN-13: 030946529X

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The National Agricultural Statistics Service (NASS) is the primary statistical data collection agency within the U.S. Department of Agriculture (USDA). NASS conducts hundreds of surveys each year and prepares reports covering virtually every aspect of U.S. agriculture. Among the small-area estimates produced by NASS are county-level estimates for crops (planted acres, harvested acres, production, and yield by commodity) and for cash rental rates for irrigated cropland, nonirrigated cropland, and permanent pastureland. Key users of these county-level estimates include USDA's Farm Services Agency (FSA) and Risk Management Agency (RMA), which use the estimates as part of their processes for distributing farm subsidies and providing farm insurance, respectively. Improving Crop Estimates by Integrating Multiple Data Sources assesses county-level crop and cash rents estimates, and offers recommendations on methods for integrating data sources to provide more precise county-level estimates of acreage and yield for major crops and of cash rents by land use. This report considers technical issues involved in using the available data sources, such as methods for integrating the data, the assumptions underpinning the use of each source, the robustness of the resulting estimates, and the properties of desirable estimates of uncertainty.

Food Insecurity and Hunger in the United States
Food Insecurity and Hunger in the United States

Author: National Research Council

Publisher: National Academies Press

Published: 2006-05-02

Total Pages: 156

ISBN-13: 0309180368

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The United States is viewed by the world as a country with plenty of food, yet not all households in America are food secure, meaning access at all times to enough food for an active, healthy life. A proportion of the population experiences food insecurity at some time in a given year because of food deprivation and lack of access to food due to economic resource constraints. Still, food insecurity in the United States is not of the same intensity as in some developing countries. Since 1995 the U.S. Department of Agriculture (USDA) has annually published statistics on the extent of food insecurity and food insecurity with hunger in U.S. households. These estimates are based on a survey measure developed by the U.S. Food Security Measurement Project, an ongoing collaboration among federal agencies, academic researchers, and private organizations. USDA requested the Committee on National Statistics of the National Academies to convene a panel of experts to undertake a two-year study in two phases to review at this 10-year mark the concepts and methodology for measuring food insecurity and hunger and the uses of the measure. In Phase 2 of the study the panel was to consider in more depth the issues raised in Phase 1 relating to the concepts and methods used to measure food security and make recommendations as appropriate. The Committee on National Statistics appointed a panel of 10 experts to examine the above issues. In order to provide timely guidance to USDA, the panel issued an interim Phase 1 report, Measuring Food Insecurity and Hunger: Phase 1 Report. That report presented the panel's preliminary assessments of the food security concepts and definitions; the appropriateness of identifying hunger as a severe range of food insecurity in such a survey-based measurement method; questions for measuring these concepts; and the appropriateness of a household survey for regularly monitoring food security in the U.S. population. It provided interim guidance for the continued production of the food security estimates. This final report primarily focuses on the Phase 2 charge. The major findings and conclusions based on the panel's review and deliberations are summarized.

Methods for Calculating Forest Ecosystem and Harvested Carbon with Standard Estimates for Forest Types of the United States
Methods for Calculating Forest Ecosystem and Harvested Carbon with Standard Estimates for Forest Types of the United States

Author:

Publisher:

Published: 2006

Total Pages: 224

ISBN-13:

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This study presents techniques for calculating average net annual additions to carbon in forests and in forest products. Forest ecosystem carbon yield tables, representing stand-level merchantable volume and carbon pools as a function of stand age, were developed for 51 forest types within 10 regions of the United States. Separate tables were developed for afforestation and reforestation. Because carbon continues to be sequestered in harvested wood, approaches to calculate carbon sequestered in harvested forest products are included. Although these calculations are simple and inexpensive to use, the uncertainty of results obtained by using representative average values may be high relative to other techniques that use site- or project-specific data. The estimates and methods in this report are consistent with guidelines being updated for the U.S. Voluntary Reporting of Greenhouse Gases Program and with guidelines developed by the Intergovernmental Panel on Climate Change. The CD-ROM included with this publication contains a complete set of tables in spreadsheet format.

The Enhanced Forest Inventory and Analysis Program--national Sampling Design and Estimation Procedures
The Enhanced Forest Inventory and Analysis Program--national Sampling Design and Estimation Procedures

Author:

Publisher:

Published: 2005

Total Pages: 96

ISBN-13:

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The Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture, Forest Service is in the process of moving from a system of quasi-independent, regional, periodic inventories to an enhanced program featuring greater national consistency, a complete and annual sample of each State, new reporting requirements, and integration with the ground sampling component of the Forest Health Monitoring Program. This documentation presents an overview of the conceptual design, describes the sampling frame and plot configuration, presents the estimators that form the basis of FIA's National Information Management System (NIMS), and shows how annual data are combined for analysis. It also references a number of Web-based supplementary documents that provide greater detail about some of the more obscure aspects of the sampling and estimation system, as well as examples of calculations for most of the common estimators produced by FIA.