International Data

Site Characterization for MCA Namibia’s Community-Based Rangeland and Livestock Management (CBRLM) Activity -- Rangeland Heath

Download data package:  MCC Namibia 2012

Download additional information: Field Methods and Overview

Responsible Investigator:  Jeff Herrick

Data Manager:  Ericha Courtright

Date Range:  2012

Abstract:  The United States Department of Agriculture’s Agricultural Research Service (USDA-ARS) was contracted by Millennium Challenge Corporation (MCC) to design a grassland/vegetation monitoring approach for MCA Namibia’s (MCA-N’s) Community-Based Rangeland and Livestock Management (CBRLM) sub-activity for immediate implementation to ensure baseline data collection and demonstration of impact by the end of the Namibia Compact. These files contain soil and vegetation data collected at over 400 50m-diameter geolocated plots in 2012. Soil and site characterization data include soil texture by depth, slope, slope shape and aspect. Vegetation data include foliar cover, bare ground, litter, height and the presence of large gaps between plant canopies and between plant bases. Standing plant biomass and soil aggregate stability were also measured at a plots located in a subset of the Grazing Areas (designated “high density” because a higher density of plots was established in these areas). All plots were visited in September-October 2012. Plots at the "high density" Grazing Areas (GA’s) were also visited in June-July 2012. Soil and site characterization data were only collected the first time a plot was visited. With the exception of air-dried biomass, all measurements and observations were completed on-site.

Keywords: Namibia, rangeland (health) monitoring, stick method, land health app, soil pit, soil stability, plant production

 

Rangeland Assessment Survey in the Northern Communal Areas of Namibia (NCAs) Using the Land-Potential Knowledge System (LandPKS)

Download data package:  Namibia LandPKS 2014

Downlaod additional information: Measuring soluble salts and pH in soils and LandPKS Field Report 2014

Responsible Investigator:  Jeff Herrick

Data Manager:  Ericha Courtright

Date Range:  2014

Abstract:  Data collection was completed in August and September 2014 to support the development of the Land-Potential Knowledge System (LandPKS https://www.landpotential.org).  The LandPKS project is being led by the United States Department of Agriculture’s Agricultural Research Service (USDA-ARS) supported by funding from the United States Agency for International Development (USAID).  Data collection was designed to test the hypothesis that LandPKS can be used to predict where vegetation changes in response to changes in grazing management are most likely to occur.  To do this we re-measured a sub-set of plots established in 2012 to provide baseline information for a Community-Based Rangeland and Livestock Management (CBRLM) project.  The CBRLM project was supported by the Millennium Challenge Account (MCA) of Namibia, with funding from the Millennium Challenge Corporation (MCC) of the United States of America.  This file contains soil and vegetation data collected at over 180 50m-diameter geolocated plots in 2014. Soil and site characterization data include soil texture by depth to 100cm, slope, slope shape and aspect. Soil pH and Electrical Conductivity were measured on soil samples collected from 1-10 and 50-70cm using an “ExTech Exstik EC500” probe (see Measuring_soluble_salts_and_pH_in_soils.docx). Vegetation data include foliar cover, bare ground, litter, height and the presence of large gaps between plant canopies and between plant bases. Standing plant biomass and soil aggregate stability were also measured at plots located in a subset of the Grazing Areas or GAs (designated “high density” because a higher density of plots was established in these Grazing Areas).

Keywords: Namibia, rangeland monitoring, rangeland health monitoring, stick method, Land-Potential Knowledge System, LandPKS, RHM, Android app, Mobile phone app

 

MCA Peri-Urban Rangeland Project (PURP) for Land Productivity Monitoring and Evaluation in Mongolia

Download data package:  coming soon!

Responsible Investigator:  Jeff Herrick

Data Manager:  Ericha Courtright

Date Range:  2011-2014

Abstract: 

Keywords: Mongolia, monitoring, DIMA, line-point intercept, basal gap, production