2022

CUNLIFFE, A. M., BOSCHETTI, F., CLEMENT, R., SITCH, S., ANDERSON, K., DUMAN, T., ZHU, S., SCHLUMPF, M., LITVAK, M. E., BRAZIER, R. E. & HILL, T. C. 2022. Strong Correspondence in Evapotranspiration and Carbon Dioxide Fluxes Between Different Eddy Covariance Systems Enables Quantification of Landscape Heterogeneity in Dryland Fluxes. Journal of Geophysical Research: Biogeosciences, 127, e2021JG006240.

BATEMAN, I., ANDERSON, K., ARGLES, A., BELCHER, C., BETTS, R., BINNER, A., BRAZIER, R., CHO, F., DAY, B., DURÁN ROJAS, M., EISENBARTH, S., GANNON, K., GATIS, N., GROOM, B., HAILS, R., HARPER, A., HASTINGS, A., HEARD, M., HILL, T., INMAN, A., LEE, C., LUSCOMBE, D., MACKENZIE, A., MANCINI, M., MORISON, J., MORRIS, A., SNOWDON, P., TYLER, C., VANGUELOVA, E., WILKINSON, M., WILLIAMSON, D. & XENAKIS, G. 2022. A review of planting principles to identify the right place for the right tree for ‘net zero plus’ woodlands : Applying a place-based natural capital framework for Sustainable, Efficient and Equitable (SEE) decisions. People and Nature.

CARDENAS, L. M., OLDE, L., LOICK, N., GRIFFITH, B., HILL, T., EVANS, J., COWAN, N., SEGURA, C., SINT, H., HARRIS, P., MCCALMONT, J., ZHU, S., DOBERMANN, A. & LEE, M. R. F. 2022. CO2 fluxes from three different temperate grazed pastures using Eddy covariance measurements. Science of The Total Environment, 831, 154819.

FAWCETT, D., CUNLIFFE, A. M., SITCH, S., O’SULLIVAN, M., ANDERSON, K., BRAZIER, R. E., HILL, T. C., ANTHONI, P., ARNETH, A., ARORA, V. K., BRIGGS, P. R., GOLL, D. S., JAIN, A. K., LI, X., LOMBARDOZZI, D., NABEL, J. E. M. S., POULTER, B., SÉFÉRIAN, R., TIAN, H., VIOVY, N., WIGNERON, J.-P., WILTSHIRE, A. & ZAEHLE, S. 2022. Assessing Model Predictions of Carbon Dynamics in Global Drylands. Frontiers in Environmental Science, 10.

LEWIS, K., DE V. BARROS, F., CURE, M. B., DAVIES, C. A., FURTADO, M. N., HILL, T. C., HIROTA, M., MARTINS, D. L., MAZZOCHINI, G. G., MITCHARD, E. T. A., MUNHOZ, C. B. R., OLIVEIRA, R. S., SAMPAIO, A. B., SARAIVA, N. A., SCHMIDT, I. B. & ROWLAND, L. 2022. Mapping native and non-native vegetation in the Brazilian Cerrado using freely available satellite products. Scientific Reports, 12, 1588.

2021

MCCALMONT, J., KHO, L. K., TEH, Y. A., LEWIS, K., CHOCHOLEK, M., RUMPANG, E. & HILL, T. Short- and long-term carbon emissions from oil palm plantations converted from logged tropical peat swamp forest. Global Change Biology, n/a.

2020

LEES, K. J., KHOMIK, M., QUAIFE, T., CLARK, J. M., HILL, T., KLEIN, D., RITSON, J. & ARTZ, R. R. E. 2020. Assessing the reliability of peatland GPP measurements by remote sensing: From plot to landscape scale. Science of The Total Environment, 142613.

LEWIS, K., RUMPANG, E., KHO, L. K., MCCALMONT, J., TEH, Y. A., GALLEGO-SALA, A. & HILL, T. C. 2020. An assessment of oil palm plantation aboveground biomass stocks on tropical peat using destructive and non-destructive methods. Scientific Reports, 10, 2230.

SABATER, A. M., WARD, H. C., HILL, T. C., GORNALL, J. L., WADE, T. J., EVANS, J. G., PRIETO-BLANCO, A., DISNEY, M., PHOENIX, G. K., WILLIAMS, M., HUNTLEY, B., BAXTER, R., MENCUCCINI, M. & POYATOS, R. 2020. Transpiration from subarctic deciduous woodlands: Environmental controls and contribution to ecosystem evapotranspiration. Ecohydrology, 13, e2190.

2019.

MANNING, F. C., KHO, L. K., HILL, T. C., CORNULIER, T. & TEH, Y. A. 2019. Carbon Emissions From Oil Palm Plantations on Peat Soil. Frontiers in Forests and Global Change, 2.

LEES, K. J., QUAIFE, T., ARTZ, R. R. E., KHOMIK, M., SOTTOCORNOLA, M., KIELY, G., HAMBLEY, G., HILL, T., SAUNDERS, M., COWIE, N. R., RITSON, J. & CLARK, J. M. 2019. A model of gross primary productivity based on satellite data suggests formerly afforested peatlands undergoing restoration regain full photosynthesis capacity after five to ten years. Journal of Environmental Management, 246, 594-604.

FAWCETT, D., AZLAN, B., HILL, T. C., KHO, L. K., BENNIE, J. & ANDERSON, K. 2019. Unmanned aerial vehicle (UAV) derived structure-from-motion photogrammetry point clouds for oil palm (Elaeis guineensis) canopy segmentation and height estimation. International Journal of Remote Sensing, 40, 7538-7560.

HAMBLEY, G., ANDERSEN, R., LEVY, P., SAUNDERS, M., COWIE, N. R., TEH, Y. A. & HILL, T. C. 2019. Net ecosystem exchange from two formerly afforested peatlands undergoing restoration in the Flow Country of northern Scotland. Mires and Peat, 23, 14.

2017

SUBKE, J., MOODY, C., HILL, T. C., VOKE, N., TOET, S., INESON, P., &  TEH, Y. A., 2017.  Rhizosphere activity and atmospheric methane concentrations drive variations of methane fluxes in a temperate forest soil. Soil Biology and Biochemistry – 116: 323–332. doi: 10.1016/j.soilbio.2017.10.037

2016

HILL, T., CHOCHOLEK, M. & CLEMENT, R. 2016. The case for increasing the statistical power of eddy covariance ecosystem studies: why, where and how? Global Change Biology, 23: 2154–2165. doi:10.1111/gcb.13547

HARTLEY, I. P., HILL, T. C., WADE, T. J., CLEMENT, R. J., MONCRIEFF, J. B., PRIETO-BLANCO, A., DISNEY, M. I., HUNTLEY, B., WILLIAMS, M., HOWDEN, N. J. K., WOOKEY, P. A. & BAXTER, R. 2015. Quantifying landscape-level methane fluxes in subarctic Finland using a multiscale approach. Global Change Biology, 21, 3712-3725.

HILL, T. C., RYAN, C. M. & WILLIAMS, M. 2015. A framework for estimating forest disturbance intensity from successive remotely sensed biomass maps: moving beyond average biomass loss estimates. Carbon Balance and Management, 10, 1-9.

2014

ROWLAND, L., HILL, T. C., STAHL, C., SIEBICKE, L., BURBAN, B., ZARAGOZA-CASTELLS, J., PONTON, S., BONAL, D., MEIR, P. & WILLIAMS, M. 2014. Evidence for strong seasonality in the carbon storage and carbon use efficiency of an Amazonian forest. Global Change Biology, 20, 979-991.

2013

HILL, T. C., WILLIAMS, M., BLOOM, A. A., MITCHARD, E. T. A. & RYAN, C. M. 2013. Are Inventory Based and Remotely Sensed Above-Ground Biomass Estimates Consistent? PLoS ONE, 8, e74170.

RYAN, C. M., WILLIAMS, M., HILL, T. C., GRACE, J. & WOODHOUSE, I. H. 2013. Assessing the Phenology of Southern Tropical Africa: A Comparison of Hemispherical Photography, Scatterometry, and Optical/NIR Remote Sensing. Geoscience and Remote Sensing, IEEE Transactions on, PP, 1-10.

STOY, P. C., WILLIAMS, M., EVANS, J. G., PRIETO-BLANCO, A., DISNEY, M., HILL, T. C., WARD, H. C., WADE, T. J. & STREET, L. E. 2013. Upscaling Tundra CO2 Exchange from Chamber to Eddy Covariance Tower. Arctic, Antarctic, and Alpine Research, 45, 275-284.

2012

HILL, T. C., RYAN, E. & WILLIAMS, M. 2012. The use of CO2 flux time series for parameter and carbon stock estimation in carbon cycle research. Global Change Biology, 18, 179-193.

RYAN, C. M., HILL, T. C., WOOLLEN, E., GHEE, C., MITCHARD, E., CASSELLS, G., GRACE, J., WOODHOUSE, I. H. & WILLIAMS, M. 2012. Quantifying small-scale deforestation and forest degradation in African woodlands using radar imagery. Global Change Biology, 18, 243-257.

STREET, L. E., STOY, P. C., SOMMERKORN, M., FLETCHER, B. J., SLOAN, V. L., HILL, T. C. & WILLIAMS, M. 2012. Seasonal bryophyte productivity in the sub-Arctic: a comparison with vascular plants. Functional Ecology, 26, 365-378.

WILLIAMS, M., HILL, T. C. & RYAN, C. M. 2012. Using biomass distributions to determine probability and intensity of tropical forest disturbance. Plant Ecology & Diversity, 6, 87-99.

2011

HILL, T. C., QUAIFE, T. & WILLIAMS, M. 2011a. A data assimilation method for using low-resolution Earth observation data in heterogeneous ecosystems. Journal of Geophysical Research-Atmospheres, 116, -.

HILL, T. C., WILLIAMS, M., WOODWARD, F. I. & MONCRIEFF, J. B. 2011b. Constraining ecosystem processes from tower fluxes and atmospheric profiles. Ecological Applications, 21, 1474-1489.

WILLIAMS, M., HILL, T. C., RYAN, C. M. & PEYLIN, P. 2011. Final Report BIOMASS Level 2 Product to Flux Study. ESA contract No 4000102042/10/NL/CT. Nordwijk, The Netherlands: The European Space Research and Technology Centre

2008

HILL, T. C., WILLIAMS, M. & MONCRIEFF, J. B. 2008. Modeling feedbacks between a boreal forest and the planetary boundary layer. Journal of Geophysical Research-Atmospheres, 113, -.