Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Álvaro Moreno Martínez"'
Autor:
Babak Ghassemi, Emma Izquierdo-Verdiguier, Astrid Verhegghen, Momchil Yordanov, Guido Lemoine, Álvaro Moreno Martínez, Davide De Marchi, Marijn van der Velde, Francesco Vuolo, Raphaël d’Andrimont
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract To provide the information needed for a detailed monitoring of crop types across the European Union (EU), we present an advanced 10-metre resolution map for the EU and Ukraine with 19 crop types for 2022, updating the 2018 version. Using Ear
Externí odkaz:
https://doaj.org/article/a5f52dfdb57a46eb8dbf6166d0c3b33d
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Land, atmosphere and climate interact constantly and at different spatial and temporal scales. In this paper we rely on causal discovery methods to infer spatial patterns of causal relations between several key variables of the carbon and wa
Externí odkaz:
https://doaj.org/article/e30d2213a38e45809b4c79f2d926214c
Autor:
Luca Salerno, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Nicholas Clinton, Annunziato Siviglia, Carlo Camporeale
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
An assessment of river regulation impact on floodplain vegetation is crucial to developing a modern watershed management approach in the Neotropics aimed at mitigating alterations of the floodplain environment. Floodplain forest monitoring requires h
Externí odkaz:
https://doaj.org/article/d2ddfc2756314d64a3fb98b87045e492
Land use classification over smallholding areas in the European Common Agricultural Policy framework
Autor:
Manuel Campos-Taberner, Francisco Javier García-Haro, Beatriz Martínez, Sergio Sánchez-Ruiz, Álvaro Moreno-Martínez, Gustau Camps-Valls, María Amparo Gilabert
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 197:320-334
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::111d88d8989020c8a7945b5b58e0ffa5
https://doi.org/10.1016/j.isprsjprs.2023.02.005
https://doi.org/10.1016/j.isprsjprs.2023.02.005
Autor:
Qiang Wang, Álvaro Moreno-Martínez, Jordi Muñoz-Marí, Manuel Campos-Taberner, Gustau Camps-Valls
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 195:408-417
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4a68224ad79fc3fca896e9c0a851199
https://doi.org/10.1016/j.isprsjprs.2022.12.019
https://doi.org/10.1016/j.isprsjprs.2022.12.019
Autor:
Sophie Wolf, Miguel D. Mahecha, Francesco Maria Sabatini, Christian Wirth, Helge Bruelheide, Jens Kattge, Álvaro Moreno Martínez, Karin Mora, Teja Kattenborn
Publikováno v:
Nature Ecology & Evolution. 6:1850-1859
Global maps of plant functional traits are essential for studying the dynamics of the terrestrial biosphere, yet the spatial distribution of trait measurements remains sparse. With the increasing popularity of species identification apps, citizen sci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac8f3239d768f8d72587e486e54d0b84
https://doi.org/10.1038/s41559-022-01904-x
https://doi.org/10.1038/s41559-022-01904-x
Autor:
Hui Yang, Vitus Benson, Yahai Zhang, Rackhun Son, Siyuan Wang, Weijie Zhang, Yuzhen Zhang, Claire Robin, Dmitry Schepaschenko, Zbigniew Karaszewski, Sterenczak Krzysztof, Álvaro Moreno-Martínez, Cristina Nabais, Thomas Ibanez, Ghislain Vieilledent, Ulrich Weber, Nuno Carvalhais
Wood density is an emergent property resultant of tree growth strategies modulated by local edapho-climatic and stand development conditions. It is associated with the biomechanical support of trees and hydraulic conductivity or safety, directly and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b166cb600aa6ef283e08568f0813d87
https://doi.org/10.5194/egusphere-egu23-8794
https://doi.org/10.5194/egusphere-egu23-8794
Autor:
Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Jordi Muñoz-Marí, Hanna Meyer, Marvin Ludwig, Gustau Camps-Valls
Machine learning algorithms have become widely used for geospatial applications, including spatial mapping and upscaling ecological variables and traits. Multivariate splines, random forests, and neural networks have been widely used to upscale a few
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f15f2c31cc2f4ed6505d76d236821ec8
https://doi.org/10.5194/egusphere-egu23-5331
https://doi.org/10.5194/egusphere-egu23-5331
Autor:
Álvaro Moreno-Martínez, Laura Martínez-Ferrer, Jordi Muñoz-Marí, Emma Izquierdo-Verdiguier, John S. Kimball, Steven W. Running, Nicholas Clinton, Gustau Camps-Valls
Carbon captured via photosynthesis by vegetation is known as gross primary production (GPP). It is an important variable related to climate regulation and determines ecosystem carbon sources and sinks. GPP is routinely estimated globally by operation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d21574c8836f6b65fd8e07a4ff6c294
https://doi.org/10.5194/egusphere-egu23-7439
https://doi.org/10.5194/egusphere-egu23-7439
Autor:
Sophie Wolf, Miguel Mahecha, Francesco Maria Sabatini, Christian Wirth, Helge Bruelheide, Jens Kattge, Álvaro Moreno Martínez, Karin Mora, Teja Kattenborn
As global change accelerates, the urgency for a solid understanding of biosphere-environment interactions grows. However, we need more data on plant functional traits to test such relationships reliably across ecosystems. The TRY database contains an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60eef592850c725834d920dc90e839ff
https://doi.org/10.5194/egusphere-egu23-2415
https://doi.org/10.5194/egusphere-egu23-2415