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Native and non-native plant richness and cover per indigenous forest types 20...
Tables supporting the analysis in manuscript named: Low richness of non-native plants in New Zealand indigenous forests may not reflect low impact. The table was generated by... -
Manuka-Kanuka shrublands vegetation survey with associated climate and landsc...
Tables supporting the analysis in: Rossignaud, L., & Hulme, P. E. (2023). Native vegetation structure, landscape features and climate shape non-native plant richness and... -
Land use impacts on soil invertebrate biodiversity
Soil invertebrates COI DNA metabarcoding data, analysis code, and outputs, relating to the paper Andrew Dopheide, Andreas Makiola, Kate H. Orwin, Robert J. Holdaway, Jamie R.... -
Code for A History of Open Temperature and Rainfall with Uncertainty in New Z...
Python code used to process data in the production of A History of Open Weather in New Zealand (HOWNZ): an open access 1 km resolution monthly 1910-2019 time-series of... -
Binary space partitioning neutral landscape models code
Python and NetLogo code used to create binary space partitioning neutral landscape models in support of the paper: Etherington TR, Morgan FJ, O’Sullivan D. Binary space... -
Forest vegetation survey and adjacent land cover across spatial scales 2002-2007
Tables supporting the analysis in: Rossignaud, L., Kimberley, M. O., Kelly, D., Fei, S., Brockerhoff, E. G. (2022). Effects of competition and habitat heterogeneity on... -
LUMASS References
Papers, presentations, videos etc. about / using LUMASS -
Raw dataset from Gormley & Warburton, 2019, trapping paper
Raw trapping data (binary) from the Poutiri Ao ō Tāne trap network, used by Gormley & Warburton in their 2019 analysis and publication in PLoS ONE. -
Code: Modelling habituation of introduced predators
Python computer code for the individual based model simulating olfactory habituation of introduced mammalian predators to unrewarding bird odours in New Zealand. Associated... -
Livestock as sentinels for wildlife disease
Pseudo-code for a model written in Python that uses livestock disease surveillance data to make inference on the disease status of sympatric or adjacent living wildlife. -
Surveillance effort and cost to prevent an incursion and Batrachochytrium sal...
Salamander importation data into the U.S., and Python scripts for analysing data and conducting a simulation experiment. Used in paper submitted to 'EcoHealth.' -
Bio-economic optimisation of surveillance to confirm broadscale eradications ...
Python computer code for a 2-stage bio-economic model to identify optimal cost-efficient surveillance strategies for assessing progress and ultimately declaring success of... -
Inferential and forward projection modelling to evaluate options for controll...
Data for analysis of stoat eradication from Resolution Island, New Zealand. Included is an Excel spreadsheet for calculating the net present value of alternative management...
