Multi-decade land cover/land use dynamics and future predictions for Zambia: 2000–2030

Autor: Charles Bwalya Chisanga, Darius Phiri, Kabwe Harnadih Mubanga

Publikováno v: Discover Environment, Vol 2, Iss 1, Pp 1-15 (2024)

Abstract Human LULCC is the many driver of environmental changes. Accurate and up-to-date current and predicted information on LULCC is important in land use planning and natural resource management; however, in Zambia, detailed information on LULCC

Externí odkaz: https://doaj.org/article/7cafadbb15de4a5782f9dbc92ad8a536

Evaluating APSIM-and-DSSAT-CERES-Maize Models under Rainfed Conditions Using Zambian Rainfed Maize Cultivars

Autor: Vernon R. N. Chinene, Elijah Phiri, Charles Bwalya Chisanga

Publikováno v: Nitrogen; Volume 2; Issue 4; Pages: 392-414
Nitrogen, Vol 2, Iss 27, Pp 392-414 (2021)

Crop model calibration and validation is vital for establishing their credibility and ability in simulating crop growth and yield. A split–split plot design field experiment was carried out with sowing dates (SD1, SD2 and SD3); maize cultivars (ZMS

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c3d95369352414836818013d45c1a56
https://doi.org/10.3390/nitrogen2040027

CA-Markov Approach in Dynamic Modelling of LULCC Using ESA CCI Products over Zambia

Autor: Charles Bwalya Chisanga, Chizumba C. Shepande, Edson Nkonde

Publikováno v: Geographic Information Systems and Applications in Coastal Studies
Geographic Information Systems and Applications in Coastal Studies ISBN: 9781803557410

The Markov, Cell Atom and CA-Markov modules in TerrSet v19.0 have been applied to predict LULC maps for 2030 over Zambia. The European Space Agency Climate Change Initiative (ESA CCI) classified LULC maps for 2000, 2010 and 2020 were used in this stu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf601708c63fab46166014556a13ca97
https://mts.intechopen.com/articles/show/title/ca-markov-approach-in-dynamic-modelling-of-lulcc-using-esa-cci-products-over-zambia

Projecting maize yield under local‐scale climate change scenarios using crop models: Sensitivity to sowing dates, cultivar, and nitrogen fertilizer rates

Autor: Charles Bwalya Chisanga, Lydia M. Chabala, Vernon R. N. Chinene, Elijah Phiri

Publikováno v: Food and Energy Security, Vol 9, Iss 4, Pp n/a-n/a (2020)

The APSIM‐Maize and CERES‐Maize models are widely used in impact studies to analyze the effect of climate change on future maize yield. The study objectives were to develop climate scenarios, assess crop model's sensitivity, and predict the impac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c307f9aa5e1bf1e41c24c85e4992454e
https://doi.org/10.1002/fes3.231

Trends of Extreme Events in Precipitation and Temperature during the 1963 - 2012 Period at Mt Makulu, Zambia

Autor: Elijah Phiri, Charles Bwalya Chisanga, Vernon R. N. Chinene

Publikováno v: Journal of Scientific Research and Reports. 15:1-19

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::608c5b20ab39c9eb37644118fce8448d
https://doi.org/10.9734/jsrr/2017/34815