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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... -
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. -
Multiple capture trap data
Data and spatial model for assessing effectiveness of using multiple and single capture traps. The data support an article in PLoS ONE: Warburton, B., & Gormley, A. M.... -
Small mammal chewcard and trap catch indices pre and post ground-based toxic ...
Data associated with paper: Morgan D, Warburton B, Nugent G 2015. Aerial prefeeding followed by ground based toxic baiting for more efficient and acceptable poisoning of... -
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. -
Short-term possum foraging movements
Data supporting the article in PLoS ONE: Yockney IJ, Latham MC, Rouco C, Cross ML, Nugent G (2015) Quantifying Short-Term Foraging Movements in a Marsupial Pest to Improve... -
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...
