about
TRY - a global database of plant traitsDiagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers.Climate extremes and the carbon cycle.Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impactsThe global spectrum of plant form and function.Plants, microorganisms, and soil temperatures contribute to a decrease in methane fluxes on a drained Arctic floodplain.Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits.Linking plant and ecosystem functional biogeography.Ecology: Ecosystem responses to climate extremes.Influence of physiological phenology on the seasonal pattern of ecosystem respiration in deciduous forests.Global convergence in the temperature sensitivity of respiration at ecosystem level.Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystemsMonitoring ecological change during rapid socio-economic and political transitions: Colombian ecosystems in the post-conflict eraA few extreme events dominate global interannual variability in gross primary productionHarmonized European Long-Term Climate Data for Assessing the Effect of Changing Temporal Variability on Land–Atmosphere CO2Fluxes*Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and MethodologyA framework for benchmarking land modelsEcosystem functioning is enveloped by hydrometeorological variabilityImproved tree-ring archives will support earth-system scienceExtreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF modelThe ESA's Earth Observation Open Science Program [Space Agencies]Ranking drivers of global carbon and energy fluxes over landInferring causation from time series in Earth system sciences
P50
Q28709004-B4462CF6-205B-412E-93A5-9993A95C16F6Q30355706-EE981FC4-2249-47C1-A6C3-0AC3958D73D1Q30662126-CF9B0FCF-2984-4EB8-97E7-ABCEFA46F23BQ30907492-35D1AF5A-F4C0-40D3-8278-C1F114C9348AQ31033775-08039290-A321-4AD7-94EE-0DC8AC5ED7FEQ31145599-837E4FB5-E259-4396-B46F-9BB27E3FD41EQ33910207-1E2748D8-5CE0-4136-B671-4AE9042FEBB5Q34281259-07CAC126-EDE6-4D23-BF0E-ED78C7D14DEBQ39381666-DC4E2C05-B916-4AE1-9E34-3134F878E07EQ44222628-6A1C5E70-DC15-48B4-9A86-07D331C3F3AEQ51147862-D03C325E-63A5-4105-9519-32B97C704665Q56754923-BA0305A0-70B5-44C4-94A2-58E7224AA350Q56962875-ABEA9D73-3922-42F0-9BA4-E72C0CEB1D23Q57059333-8EE9001E-FCB8-4FBA-B75E-378AC93E611BQ57059362-3CF20372-AE85-479C-87A7-105CA543ED69Q57059443-CF1FE86D-8EFF-416E-BDC3-64635B727989Q57059449-99E341A4-F5BF-4951-9D69-7AA966A22D3CQ58057473-2B15C53D-E510-4F10-9B18-9C2711C0A2DEQ58057483-8F243375-2C68-4807-A7A8-9134CE1A8EC7Q58069280-D025BFF6-596A-4739-B5F2-43BC3DF4D1FFQ58069297-28A77E54-5F8F-4CE7-B3B1-49BCE57AAAE0Q58069304-321572A5-A21F-49F3-822F-7977A746791CQ92761119-455E7891-FE34-43C6-9521-3273A06FDC8E
P50
description
researcher, ORCID id # 0000-0003-3031-613X
@en
wetenschapper
@nl
name
Miguel Mahecha
@ast
Miguel Mahecha
@en
Miguel Mahecha
@es
Miguel Mahecha
@nl
type
label
Miguel Mahecha
@ast
Miguel Mahecha
@en
Miguel Mahecha
@es
Miguel Mahecha
@nl
prefLabel
Miguel Mahecha
@ast
Miguel Mahecha
@en
Miguel Mahecha
@es
Miguel Mahecha
@nl
P1053
F-2443-2010
P106
P21
P2456
P31
P3829
P496
0000-0003-3031-613X