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Project Search

Since its inception in 2004, CIG has funded hundreds of projects, boosting natural resource conservation while helping producers improve the health of their operations for the future. Use this tool to search for CIG projects based on any of the criteria listed below.

CIG projects from 2004-2009 may be missing information in the following categories: Resource Concern (specific), Conservation Practice, Production/Use.

Showing 301 - 310 of 1802 projects

University of Idaho (Global Rangelands)     |     ID     |     2018
 This project aims to leverage the considerable expertise and resources of the Rangelands Partnership (RP), developers of the suite of GlobalRangelands.org websites, to develop a grazinglands thesaurus that will improve the effectiveness of finding and delivering key grazingland management to conservation planners and other land managers.
Practical Farmers of Iowa     |     IA     |     2018
 This project aims to facilitate companies collaborating to create market solutions to increase demand and production of small grains for animal feed and cover crop seed, positively impacting water quality, soil health and greenhouse gas emissions.
University of Idaho (CERT)     |     ID     |     2018
 Monitoring of forage availability, utilization, and residual biomass across the growing season is the primary basis for making livestock management decisions in grazingland systems. However, field measures of vegetation are often unreliable at estimating available forage and actual livestock use at the ranch scale due to heterogeneous patterns of vegetation and grazing impacts. Remote sensing estimates of vegetation biomass across the growing season exist but have yet to be paired with data on livestock locations to evaluate potential for quantifying grazing intensity. Integration of field and remote‐sensing measures for monitoring forage availability, utilization, and residual biomass will help ranchers manage at ranch scales. Our objective is to develop a system for assessing grazing impacts at ranch scales that integrates plot‐based field utilization measurements with remotely‐sensed quantification of grazing intensity. Specifically, we will expand and validate existing remote sensing maps of forage biomass and change in biomass in northeast Oregon and southern Idaho, evaluate and improve a suite of field methods for estimating utilization and residual biomass, and use field‐collected data paired with livestock GPS‐collar data to validate the remote sensing biomass change maps as an index of grazing intensity. These results will be built into the Climate Engine Rangeland Tool (CERT), an online tool to analyze and visualize forage availability, utilization, and grazing intensity. We will work with private ranchers to integrate the CERT system into their ranch‐specific management.
Clara White Mission     |     FL     |     2018
The three objectives of the project are to: 1) Improve soil biology levels and incorporate practices to promote and sustain soil health; 2) develop onsite nutrient production in a compost facility and establish an onsite solid biology assessment office; and 3) implement an Integrated Pest Management program.
Oklahoma State University     |     OK     |     2018
 The southern Great Plains is a challenging land to produce a crop. The implementation of adapted soil health management systems will lead to the optimization of productivity, maximization of input efficiencies, and reduction of the negative impacts on the environment. All of which will lead to a long term sustainable system. This project will help define how soil health is measured and introduce value added components of an adapted soil health management system such as weed control and improved nitrogen management strategies. Demonstrating the vast impacts of an applied soil health management system will lead to an increased adoption and implementation of the strategies.
Texas A&M AgriLife Research     |     TX     |     2018
 This project aims to increase implementation of soil health management practices across the South Central U.S. through improved communication of the soil and production benefits of novel double-cropping systems and supporting economic analyses.
The Nature Conservancy of Colorado     |     CO     |     2018
To survive in an increasingly challenging management environment, ranchers often rely on technical assistance. Access to comprehensive information about land potential enhances adaptive management, and having tools for easy, meaningful monitoring is critical. By using the free, open source Land-Potential Knowledge System(LandPKS) mobile app, ranchers can rapidly identify soils, and inventory and monitor vegetation for use in management decisions. This existing tool provides much of the needed information for ranchers to make appropriate management decisions, but additional information about livestock forage utilization and wildlife Habitat potential other resource values (e.g., grassland bird management) is needed to improve the utility of this tool. Although used internationally, LandPKS has yet to be tested with US ranchers.
Bananera Fabre Incorporado     |     PR     |     2018
For the last years, Bananera Fabre Inc. is the only commercial producer in Puerto Rico successfully evaluating the conservation cover/ cover crops practices in bananas, citrus, and vegetable farming. It is in good faith necessary to measure the economic viability and practice implementation capabilities of two cover crops/ conservation cover species or mixture of Canavalia ensiformis and Geophila macrophoda in Puerto Rico. These species evaluated for cover crops are validated to prevent soil erosion, conserve soil moisture, protect water quality, increase soil tilth, water infiltration, reduce dust and add fertility to soil. The effects on soil and water resource concerns will increase organic carbon on soil, increase cation exchange capacity, increase aggregate stability, reduce the nutrient and pesticide runoff by 50%, reduction of soil erosion by 90%, reduction of sediment loading by 75% and reduction of pathogen loading by 60%. The project objectives will be conducted following UPR validated methodology of 3 phases repeated for each of the cover crops evaluated:
1)Phase 1: Evaluation of soil parameters before cover crop
2)Phase 2: Seed propagation and development
3)Phase 3: Evaluation of Soil parameters after cover crops
The objective is to measure the economic viability and conservation capabilities of Canavalia ensiformis and Geophila macropoda in commercial USDA Certified Organic banana field.
Conserve Wildlife Foundation     |     NJ     |     2018
Wetlands are threatened by natural succession, encroachment of invasive species and impaired hydrology. NRCS practices such as chemical and mechanical treatment as well as wetland enhancement are commonly used to restore wetland habitats. While these tools can be highly effective and useful, there may be other possible techniques that bring farming and habitat restoration together. Conserve Wildlife Foundation is looking to assess the effectiveness and cost benefit of these practices as well as assess prescribed grazing. This project will help to quantify the impacts of an innovative conservation systems used to restore degraded habitats, improve wildlife habitat and water quality, as well as provide extended pasture for livestock.
Craig Elevitch, Permanent Agriculture Resources     |     HI     |     2018
This project is lead by Craig Elevitch of Permanent Agriculture Resources; its goal is to provide market-based agroforestry solutions to resource challenges and a new design tool & manual, as well as technologies and strategies for next-generation conservation planners to stimulate the development and adoption of innovative agroforestry approaches and technologies for conservation on agricultural lands. This project will generate an innovative data-driven tool and associated educational resources and learning opportunities to support the testing and implementation of the tool. The data-driven tool will deliver novel site-specific planning and design information that accounts for spatial, temporal, and agroecological parameters that are essential for designing mixed agroforests.