Kashif Mahmud

Midwestern State University, Geosciences, Faculty Member

The University of New South Wales, Civil and Environmental Eng., Post-Doc

Western Sydney University, Hawkesbury Institute for the Environment (HIE), Postdoctoral Research Fellow

Indiana University, Geography, Post-Doc

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I have been awarded the PhD degree without any single correction from the school of Civil and Environmental Engineering at UNSW Australia on November 2015. I have been also granted a three months Post-Doctoral Writing Fellowship from UNSW Faculty of Engineering. I was affiliated with the Connected Waters Initiative (CWI) Research centre, UNSW Australia and the National Centre for Groundwater Research and Training (NCGRT), Australia while pursuing my PhD at UNSW Australia. Later on I shifted my research interest as a Modeler from Hydrogeology to Plant Ecology when I have been offered a 3 years ARC project to work on at HIE, WSU.

Currently I am a Postdoctoral Research Scientist in the Department of Geography at Indiana University Bloomington. I am working in MacBean Lab to understand the response of the carbon cycle and terrestrial ecosystems to climate and environmental changes. I am using data assimilation methods to constrain global carbon cycle sink projections and modeled carbon-climate feedbacks.

WSU Postdoc Summary: The project is looking for both the productivity of terrestrial plants and their vulnerability to environmental changes like draught, pest attack and fire, which are common in Australian environment. The project will answer the question: What fraction of photosynthates do plants use for immediate growth, and what fraction do they keep in reserve as insurance against future stress?

PhD Summary: I have developed Image Quilting, a highly efficient numerical method, with promising applications in the field of hydrogeology, remote sensing, image processing, mining, and petroleum engineering. I have also presented a multiscale workflow that shows potential for the integration of different spatial measurement scales, allowing a better characterization of groundwater aquifers by making the best possible use of hydrogeological data. Moreover, I have presented the largest spatial and temporal survey of automated cave drip rate monitoring published to date in two large chambers of the Golgotha Cave, South-West Western Australia. By applying morphological analysis of ceiling features from Terrestrial LiDAR data, coupled with long-term drip time series and climate data, I have demonstrated the nature of the relationships between infiltration through fractures in the limestone and groundwater recharge.
Supervisors: Gregoire Mariethoz, Andy Baker, Ashish Sharma, Belinda Medlyn, and Natasha MacBean

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James Elkins

School of the Art Institute of Chicago

Dr. Matrika Prasad Koirala

Tribhuvan University

Maurizio Forte

Duke University

Armando Marques-Guedes

UNL - New University of Lisbon

Peyman Afzal

Faculty of Technical & Engineering, Islamic Azad University South Tehran Branch, Tehran, Iran

Davide Nadali

Università degli Studi "La Sapienza" di Roma

Timothy Morton

Rice University

Gáspár Albert

Eötvös Loránd University

Nicola Lupo

LUISS Guido Carli

sabina porfido

Consiglio Nazionale delle Ricerche (CNR)

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Papers by Kashif Mahmud

ORCHIDEE model outputs files associated with the manuscript "Optimizing phenology parameters drastically improves terrestrial biosphere model underestimates of dryland net CO2 flux inter-annual variability" by Mahmud et al. submitted

ORCHIDEE model simulation outputs for SW US semiarid sites optimizations needed to generate the f... more ORCHIDEE model simulation outputs for SW US semiarid sites optimizations needed to generate the figures and tables of the manuscript "Optimizing phenology parameters drastically improves terrestrial biosphere model underestimates of dryland net CO2 flux inter-annual variability". The post-processing can be done using the python scripts that are freely available in a GitHub repository (https://github.com/kashifmahmud/SW_US_semiarid).

R project to reproduce the figures and analyses presented in Mahmud et al. 2018

R codes to replicate the figures and analyses presented in BG 2018 paper with Sink limited contai... more

Raw data files associated with Mahmud et al. 2018

This folder consists of existing dataset from the container volume experiment which was carried o... more This folder consists of existing dataset from the container volume experiment which was carried out at the Hawkesbury Forest Experiment site (33°37'S 150°44'E) in Richmond, NSW, Australia. The site and experimental setup have been explained in detail by Campany et al. (2017). This dataset is compiled from another data source of Campany C. (2017) which can be found in this link: http://doi.org/10.4225/35/58b4eaa87c64d.<br>In brief, 20 weeks old Eucalyptus tereticornis seedlings in tube stock were chosen from a single local Cumberland plain cohort. Ten additional seedlings of similar age and growth were harvested to measure initial leaf area and dry mass of leaves, stems and roots. A total of 49 Eucalyptus tereticornis seedlings were grown in a range of container sizes (5 L to 35 L) in field conditions, using freely-rooted seedlings as a control for the container size treatments, with the goal to examine how the C balance of the plants are affected to belowground sink li...

R Project To Reproduce The Figures And Analyses Presented In The Manuscript 'Inferring The Effects Of Sink Strength On Plant Carbon Balance From Experimental Measurements' By Mahmud Et Al. (2018)

The R script "CentralScript.R" replicates the figures and analyses presented in the fol... more The R script "CentralScript.R" replicates the figures and analyses presented in the following manuscript:<br> "Inferring the effects of sink strength on plant carbon balance from experimental measurements" by Kashif Mahmud, Belinda Medlyn, Remko Duursma, Courtney Campany, Martin De Kauwe. This repository contains R code to process physiology and growth data from a container volume sink limited experiment at Western Sydney University and later use data assimilation (DA) technique to infer the C mass balances from the processed measurements.

Dear Editor, Please find attached the revised manuscript and author response to the reviewers’ comments of the manuscript “Hydrological characterization of cave drip waters in a porous limestone: Golgotha Cave, Western Australia” by Mahmud et al. for your

11 Cave drip water response to surface meteorological conditions is complex due to the heterogene... more 11 Cave drip water response to surface meteorological conditions is complex due to the heterogeneity of water 12 movement in the karst unsaturated zone. Previous studies have focused on the monitoring of fractured rock 13 limestones that have little or no primary porosity. In this study, we aim to further understand infiltration water 14 hydrology in the Tamala Limestone of SW Australia, which is Quaternary aeolianite with primary porosity. We 15 build on our previous studies of the Golgotha Cave system and utilize the existing spatial survey of 29 16 automated cave drip loggers and a LiDAR-based flow classification scheme, conducted in the two main 17 chambers of this cave. We find that a daily sampling frequency at our cave site optimizes the capture of drip 18 variability with least possible sampling artifacts. With the optimum sampling frequency, most of the drip sites 19 show persistent autocorrelation for at least a month, typically much longer, indicating ample storage of wat...

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