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Aim: To explore spatiotemporal changes in Hyacinth Macaw Anodorhynchus hyacinthinus distribution and the impacts of land use change over 25 years, across its vast range in central/eastern South America. Location: Brazil, Bolivia and Paraguay, South America, covering almost 3 million km2. Methods: We use a novel, multi‐temporal species distribution model, to combine both year‐specific occurrence records and land use/cover data in a single model that is subsequently projected over a land cover time series. We investigate changes in geographic range over 25 years and potential drivers of range extent at multiple spatial scales (10 and 30 km) and time‐lags (current and 10 years previously). We also assess protected area coverage and impacts from degazettement within the remaining range and highlight priority areas to search for undiscovered populations. Results: The modelled range of the species increased by 75,000 km2 to over 500,000 km2 between 1995 and 2019, during which period agriculture and pasture increased by 600,000 km2 within the species' extent of occurrence. Habitat suitability was influenced most strongly by distribution of palms, forest cover and changes in pasture over 10 years and usually by predictors measured at larger spatial scales. Just 8% of the macaw's modelled range falls within protected areas, and more than 20,500 km2 of protected areas overlapping with the range have been degazetted in the last 40 years. We highlight key areas to search for undiscovered populations in under‐sampled and remote areas, especially led by community citizen science initiatives involving indigenous groups and protected area staff. Main conclusions: Novel modelling methods, combining multi‐temporal occurrence records and land cover data, appropriate for small sample sizes per year, have revealed habitat dynamics and changes to the range of this threatened species over 25 years. The method may have wide applicability for a range of species, including elusive and poorly studied species. [ABSTRACT FROM AUTHOR]

Aim To analyse spatial trade-offs in conservation of mammals, considering benefits of biodiversity conservation and socioeconomic costs. Location Cerrado Biodiversity Hotspot, Brazil. Methods We built ecological niche models ( ENMs) for 154 mammals inhabiting the cerrado. We combined model projections to produce consensus maps of species' distributions for three types of models (envelope, statistical and machine-learning models). We used these range summaries as input data in spatial prioritization analyses. We compared six conservation scenarios, considering human population density, land cost, anthropogenic land use, political willingness to act and the distribution of species using trade-off analyses. We complemented the current network of protected areas, aiming to achieve a target of 17% of land protection in the cerrado. Results Species-rich sites coincide with regions with high human population, high land cost, high anthropogenic land use and diverse levels of political willingness to act. We found a significant change in spatial priorities when we included socioeconomic and political dimensions in analyses: top-priority sites moved north, reduced by 68% potential conservation conflicts with human population, reduced by 72% the total monetary cost of actions and reduced by 68% conflict with other anthropogenic land uses. It also increased by 80% the beneficial effect of political willingness to act. Main conclusions Our results reinforce the idea that using only biological criteria for proposing spatial conservation priorities can undermine conservation plans given increases in socioeconomic and political conflicts. [ABSTRACT FROM AUTHOR]