Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kate Gongadze"'
Publikováno v:
Agriculture, Vol 12, Iss 5, p 614 (2022)
Agricultural system models provide an effective tool for forecasting crop productivity and nutrient budgets under future climate change. This study investigates the potential impacts of climate change on crop failure, grain yield and soil organic car
Externí odkaz:
https://doaj.org/article/35565bd48ab94a19b42fdd74f4d62e47
Autor:
Tuvia Turkeltaub, Kate Gongadze, Yihe Lü, Mingbin Huang, Xiaoxu Jia, Huiyi Yang, Ming'an Shao, Andrew Binley, Paul Harris, Lianhai Wu
Publikováno v:
Ecological Modelling. 474:110173
Impacts due to climate change, population growth and intensive agriculture continue to be a major concern worldwide. Sustainable agriculture with coherent land management strategies is essential to mitigate against adverse environmental impacts. For
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::342c1e0ac62d4a1aaadf2dfa3e2b4012
https://doi.org/10.1016/j.ecolmodel.2022.110173
https://doi.org/10.1016/j.ecolmodel.2022.110173
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
The wide spread of dry soil layers (DSL) in China’s Loess Plateau region has negative effects on the ecosystem, including soil degradation and vegetation failure. To understand the temporal persistence of DSL, a ca. 860 km south-north transect was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b00501aa4eaac84877a244cbddec5d18
http://europepmc.org/articles/PMC6397324
http://europepmc.org/articles/PMC6397324
Publikováno v:
Agriculture, Ecosystems & Environment
Graphical abstract
Highlights • Grazed beef and sheep production has low efficiencies of nitrogen (N) use. • Grassland N use efficiency can be enhanced through sward-inclusion of clover. • Replacing chemical-N fertiliser with biological N
Highlights • Grazed beef and sheep production has low efficiencies of nitrogen (N) use. • Grassland N use efficiency can be enhanced through sward-inclusion of clover. • Replacing chemical-N fertiliser with biological N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be1f7dc98d505e157b95869d7cfb5a60
https://repository.rothamsted.ac.uk/download/6f787c0cf3a770d5a85db683f04acf924740f52a72a5d02b097c6d5506e270c5/7848118/1-s2.0-S0167880919301884-main.pdf
https://repository.rothamsted.ac.uk/download/6f787c0cf3a770d5a85db683f04acf924740f52a72a5d02b097c6d5506e270c5/7848118/1-s2.0-S0167880919301884-main.pdf
Publikováno v:
CATENA. 184:104243
The Grain-for-Green program was implemented in China in 1999 to reduce soil erosion, increase biodiversity, conserve natural resources and improve the natural environment by modifying patterns of land use. The located field experiment about the influ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::745b20c7ba7301832d42cc737de9001d
https://doi.org/10.1016/j.catena.2019.104243
https://doi.org/10.1016/j.catena.2019.104243
Autor:
Marco Carozzi, Lutz Merbold, Kate Gongadze, Susanne Rolinski, Pete Smith, Christopher D. Dorich, Paul C. D. Newton, Kathrin Fuchs, Mark A. Liebig, Nuala Fitton, Renáta Sándor, Robert M. Rees, Val Snow, Katja Klumpp, Sylvie Recous, Fiona Ehrhardt, Raphaël Martin, Gianni Bellocchi, Lorenzo Brilli, Jean-François Soussana
Publikováno v:
Science of the Total Environment
Science of the Total Environment, Elsevier, 2018, 642, pp.292-306. ⟨10.1016/j.scitotenv.2018.06.020⟩
Science of the Total Environment (642), 292-306. (2018)
Science of the Total Environment, Elsevier, 2018, 642, pp.292-306. ⟨10.1016/j.scitotenv.2018.06.020⟩
Science of the Total Environment (642), 292-306. (2018)
Simulation models quantify the impacts on carbon (C) and nitrogen (N) cycling in grassland systems caused by changes in management practices. To support agricultural policies, it is however important to contrast the responses of alternative models, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfb49054cc074e3c98064da6ef1f641c
https://pubmed.ncbi.nlm.nih.gov/29902627
https://pubmed.ncbi.nlm.nih.gov/29902627
In one of the widely used methods to estimate surface runoff - Soil Conservation Service Curve Number (SCS-CN), the antecedent moisture condition (AMC) is categorized into three AMC levels causing irrational abrupt jumps in estimated runoff. A few im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f89ff96fa1b087f694dda5a0dc2d848
Publikováno v:
Agriculture; Basel; May2022, Vol. 12 Issue 5, p614, 12p
Autor:
Zhao, Chunlei1, Jia, Xiaoxu1,2, Gongadze, Kate3, Shao, Ming'an1,2,4, Wu, Lianhai3, Zhu, Yuanjun4 zhuyuanjun@foxmail.com
Publikováno v:
Scientific Reports. 3/1/2019, Vol. 9 Issue 1, p1-1. 1p.