about
Above-ground biomass and structure of 260 African tropical forestsAboveground vs. Belowground Carbon Stocks in African Tropical Lowland Rainforest: Drivers and Implications.Functional community structure of African monodominant Gilbertiodendron dewevrei forest influenced by local environmental filtering.Conventional tree height-diameter relationships significantly overestimate aboveground carbon stocks in the Central Congo Basin.Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis.Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery.Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing.Accuracy assessment of contextual classification results for vegetation mappingHabitat reporting of a heathland site: Classification probabilities as additional information, a case studyTerrestrial biosphere model performance for inter-annual variability of land-atmosphere CO2 exchangeAn integrated phenology modelling framework in rLater springs green-up faster: the relation between onset and completion of green-up in deciduous forests of North AmericaLimitations to winter and spring photosynthesis of a Rocky Mountain subalpine forestNDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional typesModel performance of tree height-diameter relationships in the central Congo BasinProductivity of North American grasslands is increased under future climate scenarios despite rising ariditySeason Spotter: Using Citizen Science to Validate and Scale Plant Phenology from Near-Surface Remote SensingTracking forest phenology and seasonal physiology using digital repeat photography: a critical assessmentA tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate changeEvaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imageryEvaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imageryDetailed regional predictions of N<sub>2</sub>O and NO emissions from a tropical highland rainforestSeasonal patterns of foliar reflectance in relation to photosynthetic capacity and color index in two co-occurring tree species, Quercus rubra and Betula papyriferaEcological impacts of a widespread frost event following early spring leaf-outLinking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenologyDigital repeat photography for phenological research in forest ecosystemsEcotones in vegetation ecology: methodologies and definitions revisitedValidation of the sigmoid wave curve fitting algorithm on a forest-tundra ecotone in the Northwest Territories, CanadaImpacts and uncertainties of upscaling of remote-sensing data validation for a semi-arid woodlandEstimating the ecotone width in patchy ecotones using a sigmoid wave approachIntegrating camera imagery, crowdsourcing, and deep learning to improve high-frequency automated monitoring of snow at continental-to-global scalesAssimilating phenology datasets automatically across ICOS ecosystem stationsTesting Hopkins' Bioclimatic Law with PhenoCam dataLarge-sized rare tree species contribute disproportionately to functional diversity in resource acquisition in African tropical forestTracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam DatasetPublisher Correction: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam DatasetOn quantifying the apparent temperature sensitivity of plant phenology
P50
Q28674651-FCA1E913-A6C8-45E3-AAA2-F29BE58F650AQ31027551-538F7DC6-0A5D-4C94-BA80-7E15627B7D39Q36245094-36D10636-7DFB-4EC6-B892-D8455020493AQ39125836-E0A9AE1C-E3EA-432C-AACF-83D944C3AA26Q40303750-C64FED0E-2FE8-48A6-92DF-8800EA5848ECQ50531983-D918B8E1-CCC3-4094-B2DE-27BFA466E3D2Q52597794-1F534676-49B4-4F50-A070-7FE68379A954Q57715527-70E635EA-471D-4CEF-82C6-E74597D6E93AQ57715569-0C8645CF-431A-47ED-8887-C3D61F54DB3BQ58112880-E20A4ABF-2DAA-4156-A5E6-21D0A25E8EB0Q58309554-B0083662-A940-4711-88ED-0571BE602714Q58309557-4F373EE1-75D2-4E18-A057-1CB65FCBBF0DQ58309559-441E0E1A-6E81-4854-BE50-83381701EAE3Q58309563-6EE58A73-1C23-4674-A609-E482A251240AQ58309565-AFFF6A6B-BCAF-48F6-96A4-170573171AB4Q58309569-4AF13E5C-8B85-4D68-89A8-18977FEA99BAQ58309571-EE94E0D0-14BB-4F90-BB09-30936D07C773Q58309575-24E41AF2-1556-4E2D-B529-8F7675AFE360Q58309577-CE5B7D3C-67EF-4AF5-80D9-38BB151A56EDQ58309579-7A46EA1B-8CB8-44EF-9DC3-EB36C7EECE86Q58309583-DA85DEB9-B084-49B9-88F3-4F184F904469Q58309586-61EAEB88-7903-476D-8949-7976F899BE60Q58309589-FF89A769-5169-4EFC-BC62-4B210B56BAADQ58309592-3E54E7DF-B9FC-4407-ADB2-5BD34BF5BE47Q58309595-CF812DA2-AA00-483E-A906-C1BAAA933528Q58309597-247BA1BF-FE8B-4492-8340-9B2A81623EF0Q58309601-C4BA2B66-E2DC-4E5B-9818-EEC0A643A14AQ58309603-0BEBC7D7-40C5-4F2A-875E-49B82576E853Q58309606-21D9B377-7B29-441C-B5B3-033470D23269Q58309608-FD290AD0-FDB8-4DF2-96FB-A2C2B9221DF8Q60932340-7641B04D-45DB-414F-B71B-251348A13EAFQ63388515-1171416B-1F5D-4EA7-A56C-F4EB39F2835CQ64078409-1F74584C-5024-46EC-9838-F61B7AB2C215Q64084109-1B91FFC7-79B0-45EB-B5FB-5E8DC0A25CF9Q90884201-6E9458D8-77CD-41B6-BCAF-82F2325B4F35Q91062737-D897B98E-681A-46E6-981F-6EAAE8D8E206Q92585420-B0B32A93-7D82-4B7C-9019-13B39A97DB09
P50
description
ecoloog
@nl
researcher
@en
researcher
@en-gb
հետազոտող
@hy
name
Koen Hufkens
@ast
Koen Hufkens
@da
Koen Hufkens
@de
Koen Hufkens
@en
Koen Hufkens
@en-gb
Koen Hufkens
@es
Koen Hufkens
@fo
Koen Hufkens
@fr
Koen Hufkens
@is
Koen Hufkens
@kl
type
label
Koen Hufkens
@ast
Koen Hufkens
@da
Koen Hufkens
@de
Koen Hufkens
@en
Koen Hufkens
@en-gb
Koen Hufkens
@es
Koen Hufkens
@fo
Koen Hufkens
@fr
Koen Hufkens
@is
Koen Hufkens
@kl
prefLabel
Koen Hufkens
@ast
Koen Hufkens
@da
Koen Hufkens
@de
Koen Hufkens
@en
Koen Hufkens
@en-gb
Koen Hufkens
@es
Koen Hufkens
@fo
Koen Hufkens
@fr
Koen Hufkens
@is
Koen Hufkens
@kl
P2002
koen_hufkens
P21
P2456
P31
P496
0000-0002-5070-8109