The presentation explains how an effective pastoral territorial development (investment) could be a key driver for enhancing rangeland governance and restoration.
Soil erosion is a most devastating geological hazard and it is a severe problem in central Tanzania especially in the semi-arid regions, and the resultant sediment yield creates threats to sustainable agriculture and ecosystems. But the execution of different mitigation initiatives and policies used to adopt conservation practises in agricultural lands are unsuccessful or in effective due to the lack of spatial information on soil erosion areas. This study attempts to analyze soil erosion prone areas and sediment yield in the Kongwa district using GIS and remote sensing technique.
This training manual supported participants in learning the pre-processing tool to provide the user with enhanced time-series processing capabilities and access to various open-source satellite data, learning basic scripts in Google Earth Engine for activities related to floods and drought in showcasing the application of water resource management. Specifically, the experts will give more focus to Google’s Earth Engine platform to showcase large- and small-scale scientific analysis and visualization of geospatial datasets. The codes and step by step procedure are given in the manual.
Tartary buckwheat (Fagopyrum tataricum) has been cultivated for over one thousand years in the Liangshan Prefecture of Sichuan, China. Growing population pressures, economic modernization pressures, and the erosion of traditional culture have led to the rapid loss of area covered by Tartary buckwheat landraces. Morphological and molecular characterization of 112 Tartary buckwheat accessions from 29 populations were assessed based on 10 morphological traits of seeds and 10 SSR markers, respectively.
Understanding the impact of multiple anthropogenic threats on tree species is urgently needed for estimating population decline and enabling coordinated and efficient conservation actions. We applied a spatially explicit framework to assess the vulnerability of three highly valuable Asian rosewood species (Dalbergia cochinchinensis, D. cultrata, D. oliveri) to five key threats across their native ranges in six countries of the Greater Mekong Subregion.
The Darwin Initiative funded project “Bridging Agriculture and Environment: The Southern African Crop Wild Relatives Network†aims at establishing strategic partnerships and networks of protected areas for Crop wild relatives’ (CWR) conservation and use. One of the key components of this project is “Access and Benefit Sharing†(ABS).
The advent of improved lentil varieties (ILVs) in the mid-1990s solved the disease problem which almost halted lentil production in Bangladesh. Levels of adoption of ILVs have been documented in the literature, but little is known about their impacts. Applying an instrumental variables regression to data collected from a sample of 1,694 lentil plots and DNA fingerprinting for varietal identification, this study provides estimates of the plot-level impacts of adoption of ILVs in Bangladesh.
This study attempts to identify the spatial-temporal extent of the agricultural drought in Zambia using remote sensing data and crop production. IDSI is superior in terms of its performance and drought detection capability and is characterized by better representation of drought severity. Also VCI, IDSI and SPI indices were found to be very useful in monitoring the spatial-temporal extent of agricultural and climatic drought in the country.
In this literature review, we examine climate change adaptation governance and resilience building among communities in Senegal. We examine existing policies, governance structures, and decision-making processes in climate change adaptation issues at different governance levels for food related sectors (agriculture, natural resource, including forestry, water and energy). Second, we identify key programmes/projects, knowledge gaps, social inclusion and equity gaps in climate change adaptation issues at different governance levels for food related sectors.
Study region: Sierra Nevada de Santa Marta (SNSM) region of Colombia.