Zobrazeno 1 - 10
of 488
pro vyhledávání: '"A. B. McBratney"'
Publikováno v:
Biogeosciences, Vol 20, Pp 1559-1586 (2023)
Soil organic carbon (SOC) is the largest terrestrial carbon pool. SOC is composed of a continuous set of compounds with different chemical compositions, origins, and susceptibilities to decomposition that are commonly separated into pools characteris
Externí odkaz:
https://doaj.org/article/8db8aaa1f17844858b5f5213bede1b0a
Publikováno v:
SOIL, Vol 7, Pp 33-46 (2021)
Soil aggregate stability is a useful indicator of soil physical health and can be used to monitor condition through time. A novel method of quantifying soil aggregate stability, based on the relative increase in the footprint area of aggregates as th
Externí odkaz:
https://doaj.org/article/85f445054ae84cc699109b000dcb3776
Publikováno v:
SOIL, Vol 6, Pp 389-397 (2020)
The use of complex models such as deep neural networks has yielded large improvements in predictive tasks in many fields including digital soil mapping. One of the concerns about using these models is that they are perceived as black boxes with low i
Externí odkaz:
https://doaj.org/article/77ca39f4b8b44fe88cc9bbbea97231e9
Autor:
J. Padarian, A. B. McBratney
Publikováno v:
SOIL, Vol 6, Pp 89-94 (2020)
Data sharing and collaboration are critical to solving large-scale problems. The prevailing soil data-sharing model is based on different groups sending their data to a lead party. This model is of a centralised nature and, consequently, results in t
Externí odkaz:
https://doaj.org/article/d462dc54fd9946d4823614651180ef21
Publikováno v:
SOIL, Vol 6, Pp 35-52 (2020)
The application of machine learning (ML) techniques in various fields of science has increased rapidly, especially in the last 10 years. The increasing availability of soil data that can be efficiently acquired remotely and proximally, and freely ava
Externí odkaz:
https://doaj.org/article/e7ac7e7432f2483698bde2467d9e6b8c
Publikováno v:
SOIL, Vol 5, Pp 79-89 (2019)
Digital soil mapping (DSM) has been widely used as a cost-effective method for generating soil maps. However, current DSM data representation rarely incorporates contextual information of the landscape. DSM models are usually calibrated using point o
Externí odkaz:
https://doaj.org/article/9691a0b48d4b4b379d1cb70462b09826
Autor:
D. Arrouays, A. C. Richer-de-Forges, A. B. McBratney, A. E. Hartemink, B. Minasny, I. Savin, M. Grundy, J. G. B. Leenaars, L. Poggio, P. Roudier, Z. Libohova, N. J. McKenzie, H. van den Bosch, B. Kempen, V. L. Mulder, M. Lacoste, S. Chen, N. P. A. Saby, M. P. Martin, M. Román Dobarco, I. Cousin, T. Loiseau, S. Lehmann, M. Caubet, B. Lemercier, C. Walter, E. Vaudour, C. Gomez, G. Martelet, P. Krasilnikov, P. Lagacherie
Publikováno v:
Бюллетень Почвенного института им. В.В. Докучаева, Vol 0, Iss 95, Pp 3-23 (2018)
Soils have critical relevance to global issues, such as food and water security, climate regulation, sustainable energy, desertification and biodiversity protec-tion. As a consequence, soil is becoming one of the top priorities for the global environ
Externí odkaz:
https://doaj.org/article/9f6e632c49d340fa8277a42640a2ed03
Autor:
Mercedes Román Dobarco, Alexandre M. J-C. Wadoux, Brendan Malone, Budiman Minasny, Alex B. McBratney, Ross Searle
Publikováno v:
Biogeosciences. 20:1559-1586
Soil organic carbon (SOC) is the largest terrestrial carbon pool. SOC is composed of a continuous set of compounds with different chemical compositions, origins, and susceptibilities to decomposition that are commonly separated into pools characteris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3402b1539fa63cad4dc2686603fa11ab
https://doi.org/10.5194/bg-20-1559-2023
https://doi.org/10.5194/bg-20-1559-2023
Autor:
Alexandre M. J-C. Wadoux, Mercedes Román Dobarco, Brendan Malone, Budiman Minasny, Alex B. McBratney, Ross Searle
Publikováno v:
Scientific Data. 10
We introduce a new dataset of high-resolution gridded total soil organic carbon content data produced at 30 m × 30 m and 90 m × 90 m resolutions across Australia. For each product resolution, the dataset consists of six maps of soil organic carbon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e590d3fe3f0584ce4ccae0d1a85e607
https://doi.org/10.1038/s41597-023-02056-8
https://doi.org/10.1038/s41597-023-02056-8
Autor:
Peter M. Kopittke, Asmeret Asefaw Berhe, Yolima Carrillo, Timothy R. Cavagnaro, Deli Chen, Qing-Lin Chen, Mercedes Román Dobarco, Feike A. Dijkstra, Damien J. Field, Michael J. Grundy, Ji-Zheng He, Frances C. Hoyle, Ingrid Kögel-Knabner, Shu Kee Lam, Petra Marschner, Cristina Martinez, Alex B. McBratney, Eve McDonald-Madden, Neal W. Menzies, Luke M. Mosley, Carsten W. Mueller, Daniel V. Murphy, Uffe N. Nielsen, Anthony G. O’Donnell, Elise Pendall, Jennifer Pett-Ridge, Cornelia Rumpel, Iain M. Young, Budiman Minasny
Publikováno v:
Critical Reviews in Environmental Science and Technology. 52:4308-4324
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94be71d46c6013bd9ed3ba50f173a058
https://doi.org/10.1080/10643389.2021.2024484
https://doi.org/10.1080/10643389.2021.2024484