Skip to main content

page search

Displaying 1 - 12 of 42

Land use and land cover change and system level analysis to guide sustainable intensification efforts in mixed crop-livestock farming system

December, 2023
Global

Changes in land use and land cover (LULC) are a major concern in Ethiopia. It has a significant impact on the environment, food and feed availability, and other ecosystem services and products for present and future generations. The effects of LULC change are particularly more pronounced in the highlands of Ethiopia, where the majority of the country’s cultivated land and livestock grazing occur, and competition between different land use decisions is a major concern.

Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia

December, 2022
Ethiopia

Evaluation of the hydrological impact of urbanization-induced land use land cover (LULC) changes for medium to large catchments is still an important research topic due to the lack of evidence to conclude about how local changes translate to impacts across scales. This study aims to provide evidence on the effects of LULC change on the streamflow of the Akaki catchment that hosts Addis Ababa, the capital city of Ethiopia.

From Land Degradation to Land Restoration

Policy Papers & Briefs
December, 2021
Africa
Tanzania
Western Africa

Key Messages and Recommendations

• Combating desertification and land degradation while mitigating the effects of drought can secure long-term socio-economic benefits for people living in drylands and reduce their vulnerability to climate change.

• Land degradation neutrality (LDN) is an approach that counterbalances the expected loss of productive land with the recovery of degraded areas.

• Land tenure insecurity, especially for women, often prevents farmers from adopting sustainable land management practices

Quantitative analysis of the impacts of climate and land-cover changes on urban flood runoffs: a case of Dar es Salaam, Tanzania

Journal Articles & Books
November, 2021
Tanzania

Over the past half-century, the risk of urban flooding in Dar es Salaam has increased due to changes in land cover coupled with climatic changes. This paper aimed to quantify the impacts of climate and land-cover changes on the magnitudes and frequencies of flood runoffs in urban Dar es Salaam, Tanzania. A calibrated and validated SWAT rainfall-runoff model was used to generate flood hydrographs for the period 1969–2050 using historical rainfall data and projected rainfall based on the CORDEX-Africa regional climate model.

LDN in Armenia

Reports & Research
November, 2021
Armenia

Armenia is a landlocked country in the South Caucasus. After gaining independence from the former Soviet Union, a very difficult socio- economic situation developed in Armenia, with a current high level of poverty. Land privatization has led to excessive land fragmentation and a small average farm size. Most of the country (87 percent) is mountainous with a vertical zonation of diverse landscapes. Armenia is hotspot of biodiversity in the region, facing human and climate induced land degradation. Water erosion affects most forest and croplands across the country.

The Relationship between Land Use and Climate Change: A Case Study of Nepal

Journal Articles & Books
April, 2021
Nepal

Land Use and Climate change are interrelated to each other. This change influences one another at various temporal and spatial scales; however, improper land uses are the primary causal factor on climate change. It studies relevant literature and Nepal’s case to assess the relationship between land use and climate change. Similarly focuses on how land-use impacts climate change and vice versa. In recent centuries land-use change significant effects on ecological variables and climate change.

Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change

Peer-reviewed publication
March, 2021
France
Thailand

Recurrent Neural Networks (RNNs), including Long Short-Term Memory (LSTM) architectures, have obtained successful outcomes in timeseries analysis tasks. While RNNs demonstrated favourable performance for Land Cover (LC) change analyses, few studies have explored or quantified the geospatial data characteristics required to utilize this method. Likewise, many studies utilize overall measures of accuracy rather than metrics accounting for the slow or sparse changes of LC that are typically observed.

How Climate Change and Land Use/Land Cover Change Affect Domestic Water Vulnerability in Yangambi Watersheds (D. R. Congo)

Peer-reviewed publication
February, 2021
Democratic Republic of the Congo
Global

In the tropics, the domestic water supply depends principally on ecosystem services, including the regulation and purification of water by humid, dense tropical forests. The Yangambi Biosphere Reserve (YBR) landscape is situated within such forests in the Democratic Republic of Congo (DRC). Surprisingly, given its proximity to the Congo River, the YBR is confronted with water issues. As part of its ecosystem function, the landscape is expected to reduce deterioration of water quality.

Three Decades of Land Cover Change in East Africa

Peer-reviewed publication
February, 2021
Eastern Africa

Population growth rates in Sub-Saharan East Africa are among the highest in the world, creating increasing pressure for land cover conversion. To date, however, there has been no comprehensive assessment of regional land cover change, and most long-term trends have not yet been quantified. Using a designed sample of satellite-based observations of historical land cover change, we estimate the areas and trends in nine land cover classes from 1998 to 2017 in Ethiopia, Kenya, Uganda, Malawi, Rwanda, Tanzania, and Zambia.

Quantifying the Land Use and Land Cover Changes in the Yellow River Basin while Accounting for Data Errors Based on GlobeLand30 Maps

Peer-reviewed publication
January, 2021
Norway
United States of America

Land use and land cover (LULC) change influences many issues such as the climate, ecological environment, and economy. In this study, the LULC transitions in the Yellow River Basin (YRB) were analyzed based on the GlobeLand30 land use data in 2000, 2010, and 2020. The intensity analysis method with hypothetical errors calculation was used, which could explain the deviations from uniform land changes. The strength of the evidence for the deviation was revealed even though the confusion matrixes of the LULC data at each time point for the YRB were unavailable.

Quantifying the Landscape’s Ecological Benefits—An Analysis of the Effect of Land Cover Change on Ecosystem Services

Peer-reviewed publication
January, 2021
Norway
United States of America

The increasing pressure from land cover change exacerbates the negative effect on ecosystems and ecosystem services (ES). One approach to inform holistic and sustainable management is to quantify the ES provided by the landscape. Using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, this study quantified the sediment retention capacity and water yield potential of different land cover in the Santee River Basin Network in South Carolina, USA. Results showed that vegetated areas provided the highest sediment retention capacity and lowest water yield potential.