Detalhe da pesquisa
1.
Soil carbon debt of 12,000 years of human land use.
Proc Natl Acad Sci U S A
; 114(36): 9575-9580, 2017 09 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-28827323
2.
Islands as model systems in ecology and evolution: prospects fifty years after MacArthur-Wilson.
Ecol Lett
; 18(2): 200-17, 2015 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-25560682
3.
Quo vadis, smallholder forest landscape? An introduction to the LPB-RAP model.
PLoS One
; 19(2): e0297439, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38306349
4.
Land potential assessment and trend-analysis using 2000-2021 FAPAR monthly time-series at 250 m spatial resolution.
PeerJ
; 12: e16972, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38495753
5.
Risk factors for tick attachment in companion animals in Great Britain: a spatiotemporal analysis covering 2014-2021.
Parasit Vectors
; 17(1): 29, 2024 Jan 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-38254168
6.
Biomes of the world under climate change scenarios: increasing aridity and higher temperatures lead to significant shifts in natural vegetation.
PeerJ
; 11: e15593, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37377791
7.
Ecodatacube.eu: analysis-ready open environmental data cube for Europe.
PeerJ
; 11: e15478, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37304863
8.
Global mangrove soil organic carbon stocks dataset at 30 m resolution for the year 2020 based on spatiotemporal predictive machine learning.
Data Brief
; 50: 109621, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37823063
9.
Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution.
Data Brief
; 50: 109482, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37636128
10.
Global Soil Hydraulic Properties dataset based on legacy site observations and robust parameterization.
Sci Data
; 9(1): 444, 2022 07 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-35879368
11.
Forest tree species distribution for Europe 2000-2020: mapping potential and realized distributions using spatiotemporal machine learning.
PeerJ
; 10: e13728, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35910765
12.
A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000-2019) based on LUCAS, CORINE and GLAD Landsat.
PeerJ
; 10: e13573, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35891647
13.
African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning.
Sci Rep
; 11(1): 6130, 2021 03 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-33731749
14.
Soil structure is an important omission in Earth System Models.
Nat Commun
; 11(1): 522, 2020 Jan 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-31988306
15.
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables.
PeerJ
; 6: e5518, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30186691
16.
Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential.
PeerJ
; 6: e5457, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30155360
17.
Spatiotemporal monitoring of floodwater mosquito dispersal in Osijek, Croatia.
J Am Mosq Control Assoc
; 23(2): 99-108, 2007 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-17847840
18.
Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning.
Nutr Cycl Agroecosyst
; 109(1): 77-102, 2017 Aug 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33456317
19.
SoilGrids250m: Global gridded soil information based on machine learning.
PLoS One
; 12(2): e0169748, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28207752
20.
Soil legacy data rescue via GlobalSoilMap and other international and national initiatives.
GeoResJ
; 14(9): 1-19, 2017 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-32864337