Zobrazeno 1 - 10
of 490
pro vyhledávání: '"A B McBratney"'
Publikováno v:
Environmental Research Letters, Vol 15, Iss 8, p 084013 (2020)
Indonesian peatlands are critical to the global carbon cycle, but they also support a large number of local economies. Intense forest clearing and draining in these peatlands is causing severe ecological and environmental impacts. Most studies highli
Externí odkaz:
https://doaj.org/article/459ce3d24f624fb2b7d31eadf6b2b64f
Autor:
Julio C. Pachón Maldonado, Emma C. Leonard, Damien J. Field, Katie McRobert, Richard Heath, Alex B. McBratney
Publikováno v:
Soil Security, Vol 17, Iss , Pp 100175- (2024)
Connectivity is one of the five dimensions within the Soil Security Assessment Framework, designed to measure the cognitive and experiential bonds that stakeholders have with soils. However, a quantifiable framework integrating soil connectivity with
Externí odkaz:
https://doaj.org/article/748836c6508e4df4bbdc23090a161662
Autor:
Budiman Minasny, Toshiyuki Bandai, Teamrat A. Ghezzehei, Yin-Chung Huang, Yuxin Ma, Alex B. McBratney, Wartini Ng, Sarem Norouzi, Jose Padarian, Rudiyanto, Amin Sharififar, Quentin Styc, Marliana Widyastuti
Publikováno v:
Geoderma, Vol 452, Iss , Pp 117094- (2024)
Machine learning (ML) applications in soil science have significantly increased over the past two decades, reflecting a growing trend towards data-driven research addressing soil security. This extensive application has mainly focused on enhancing pr
Externí odkaz:
https://doaj.org/article/b96fd0fe95a043a689a5f2030a96a07f
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:
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:
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