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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... -
Data and code for understanding spatially explicit capture-recapture paramete...
Data and novel computer code for analysing telemetry and trapping data of brushtail possums (Trichosurus vulpecula) across 18 sites in New Zealand. Results provide insights into... -
State of NZ Garden Birds 2021 | Reports
Birds act as 'backyard barometers' - telling us about the health of the environment we live in. They are signalling significant changes in our environment over the past 10- and... -
State of NZ Garden Birds 2020 | Reports
Birds act as 'backyard barometers' - telling us about the health of the environment we live in. They are signalling significant changes in our environment over the past 10- and... -
NZGBS 2020 | Trend estimates
Percent change in counts for 14 garden bird counts for the past 10 years (2010-20) and 5 years (2015-20) at four spatial scales: national, regional (R), territorial authority... -
NZGBS 2021 | Trend estimates
Percent change in counts for 14 garden bird counts for the past 10 years (2011-21) and 5 years (2016-21) at four spatial scales: national, regional (R), territorial authority... -
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... -
Home range use and habitat selection of Auckland Island Pigs
Data and Python scripts for analysis for the NZJE paper: "Analysis of spatiotemporal patterns of home range use and habitat selection to inform an eradication strategy for feral... -
LUMASS References
Papers, presentations, videos etc. about / using LUMASS -
State of NZ Garden Birds 2019 | Reports
Birds act as 'backyard barometers' - telling us about the health of the environment we live in. They are signalling significant changes in our environment over the last 10- and... -
NZGBS 2019 | Trend estimates
Percent change in counts for 14 garden bird counts for the last 10 years (2009-19) and 5 years (2014-19) at four spatial scales: national, regional (R), territorial authority... -
Waitutu SORTIE-NZ 2001-2008
Data supporting Forsyth DM, Wilson DJ, Easdale TA, Kunstler G, Canham CD, Ruscoe WA, Wright EF, Murphy L, Gormley AM, Gaxiola A, Coomes DA. Century-scale effects of invasive... -
Black swan egg harvest experiment data
Data on black swan egg-laying rates, egg hatching probability, and overall nest hatching success associated with different customary egg harvest regimes implemented at Te... -
Ecological requirements of NZ birds
Resource requirements (feeding and nesting) for selected New Zealand bird species and the spatial availability of these resources based on New Zealand LCDB3 cover classes -
NZGBS 2018 | Barplots | Maps | By species
Changes in garden bird counts for 14 common birds at the national, regional and territorial authority scales for the last 10 years (2008 to 2018) and last 5 years (2013 to... -
State of NZ Garden Birds 2016
Supporting graphics for the 'State of NZ Garden Birds 2016' report MacLeod CJ, Howard S, Green P, Gormley AM, Wehi P, Brandt AJ, Spurr EB. 2017. State of New Zealand Garden... -
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. -
Indices of possum abundance and browse at forest sites in New Zealand
Data associated with paper: Holland, E. P., Gormley, A. M. and Pech, R. P. (2016), Species- and site-specific impacts of an invasive herbivore on tree survival in mixed forests.... -
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.... -
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.
