Dr. Holly Croft, MSCA Independent Research Fellow

Dr Holly Croft

Email : h.croft@sheffield.ac.uk

Room D210, Alfred Denny Building

Website: http://hollycroft.weebly.com

Career

• MSCA Independent Research Fellow, University of Sheffield, UK (2018-)
• Research Associate, University of Toronto, Canada (2011-2018)
• Research Assistant, University of Basel, Switzerland (2010-2011)
• PhD Physical Geography, University of Exeter, UK (2010)
• MSc Environmental Monitoring, Modeling and Reconstruction, University of Manchester (2006)
• BSc (Hons) Physical Geography, University of Manchester, UK (2002)

Trees 1 Trees 2 Trees 3

I am an ecological remote sensing scientist with interests in agricultural, forested and Arctic terrestrial ecosystems. My research is focused on the use of remotely sensed data in the measurement and modelling of biophysical and ecological variables that influence vegetation productivity, carbon exchange and nutrient use, along with the effects of disturbance on ecosystem structure and function. I use remote sensing data, acquired from a range of platforms from UAVs to satellites, ground-based field experiments and novel analytical methods to improve our understanding of vegetated systems for research and management applications.

Current Research Projects

• RESOLVE: ‘Remote sensing of photosynthetic traits for high latitude plant productivity modelling’ Funding Agency: Horizon 2020 MSCA

The arctic is predicted to warm faster and to a greater extent than anywhere on earth. Environmental drivers such as increased temperature and atmospheric CO2 concentration, are resulting in unprecedented changes to the structure, function and/or species composition of arctic and boreal vegetation. Recent developments in remote sensing methods and satellite technologies and have opened up exciting new opportunities to use chlorophyll fluorescence and modeled leaf biochemical estimates as indicators of plant physiological status, in order to address biome-scale questions on climate-induced changes in vegetation productivity. This research will contribute to: improving our understanding of the spatially-dependent dominant environmental drivers affecting ABB vegetation change at local and regional scales, determining the terrestrial carbon budget for the ABB, and the consequent implications for atmospheric CO2 concentrations.

Scholarly Activities

• Editorial assistant to Editor-in-Chief of Remote Sensing of Environment (Prof. Jing Chen) – 2014-2015
• Guest Editor – MDPI Remote Sensing Special issue "Terrestrial Carbon Cycle"
• American Geophysical Union (Fall Meeting 2018) Session Convener B003: Advances in the Remote Sensing of the Terrestrial Carbon Cycle
• Manuscript reviewer for a range of journals, including: Nature Scientific Reports, Functional Biology, Remote Sensing of Environment Hydrological Processes, Ecological Complexity, Remote Sensing, PLOSone, Agricultural and Forest Meteorology, Remote Sensing, Sensors, and Applied Geography.
• Grant proposal reviewer for the Belgian Science Policy Office (BELSPO) national research programme for earth observation.

Recent Publications

View full list of publications

Chan, F.C.C. Arain, M.A. Khomik, M. Brodeur, J.J. Peichl, M. Restrepo-Coupe, N. Thorne, R. Beamesderfer, E. McKenzie, S. Xu, B. Croft, H. et al., (2018) Carbon, water and energy exchange dynamics of a young pine plantation forest during the initial fourteen years of growth. Forest Ecology and Management 410, 12-26

Luo, X. Chen, J.M. Liu, J. Black, T.A. Croft, H. Staebler, R. He, L. Altaf Arain, M.A. Chen, B. Mo, G. Gonsamo, A. McCaughey H. (2018) Comparison of big‐leaf, two‐big‐leaf and two‐leaf upscaling schemes for evapotranspiration estimation using coupled carbon‐water modelling. Journal of Geophysical Research: Biogeosciences 123, 207–225.

Luo, X. Croft. H. Chen, J.M. Bartlett, P. Staebler, R. Froelich, N. (2018) Incorporating leaf chlorophyll content into a two-leaf terrestrial biosphere model for estimating carbon and water fluxes at a forest site. Agricultural and Forest Meteorology 248, 156-168

He, L. Chen, J.M. Croft, H. Gonsamo, A. Luo, X. Liu, J. Liu, R. Liu, Y. (2017) Nitrogen availability dampens optimism for the positive impacts of CO2 fertilization on terrestrial ecosystem carbon and water cycles. Geophysical Research Letters Geophysical Research Letters 44, 11,590–11,600

Croft, H. and Chen, J.M. (2017) ‘Leaf Pigment Content’ In: Comprehensive Remote Sensing, Edition: Volume 3. Remote Sensing of Terrestrial Ecosystems, Chapter: 176, Publisher: Elsevier, Editors: Jing M Chen, Shunlin Liang, pp.26

Chou, S. Chen, J.M. Yu, H. Chen, B. Zhang, X. Croft, H. Khalid, S. Li, M. (2017) Canopy-level photochemical reflectance index from hyperspectral remote sensing and leaf-level non-photochemical quenching as early indicators of water stress in maize. Remote Sensing 9(8), 794

Croft, H. Chen, J.M. Luo, X. Bartlett, P. Chen, B. Staebler, R. (2017) Leaf chlorophyll content as a proxy for leaf photosynthetic capacity. Global Change Biology 23(9), 1365-2486

Dong, T. Liu, J. Qian, B. Jing, Q. Croft, H. Chen, J.M. Wang, J. Huffman, T. Shang, J. Chen, P. (2016) Deriving Maximum Light Use Efficiency From Crop Growth Model and Satellite Data to Improve Crop Biomass Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10(1), 104-117

Chen, B. Arain, M.A. Chen, J.M. Croft, H. Grant, RF. Kurz, W.A. Bernier, P. Guindon, L. Price, D. Wanf, Z. (2016) Evaluating the impacts of climate variability and cutting and insect defoliation on the historical carbon dynamics of a boreal black spruce forest landscape in eastern Canada. Ecological Modelling 321, 98-109

Chen, B. Liu, J. Chen, J.M. Croft, H. Gonsamo, A. He, L. Luo, X. (2016) Assessment of foliage clumping effects on evapotranspiration estimates in forested ecosystems. Agricultural and Forest Meteorology 216, 82-92

He, L. Liu, J. Chen, J.M. Croft, H. Wang, R. Sprintsin, M. Zheng, T. Ryu, Y. Pisek, J. Gonsamo, A. Deng, F. and Zhang, Y. (2016) Inter-and intra-annual variations of clumping index derived from the MODIS BRDF product. International Journal of Applied Earth Observation and Geoinformation 44, 53-60