Transitions in agricultural management through crop and noncrop diversification on intensively managed croplands or pastures have benefited biodiversity. However, the extent to which agricultural management benefits species communities present in undisturbed ecosystems remains largely unclear. We quantified the animal biodiversity associated with a range of agricultural systems varying in crop and noncrop diversity and compare...

Transitions to forest management that mitigate negative effects of forest use on biodiversity are required to bend the curve of biodiversity loss. To facilitate such transitions, it is vital to understand the effects of different forest management practices on biodiversity. In this study, we analyzed observation data of 182 studies (312,453 abundance values) from three global biodiversity databases to estimate the effects of s...

Changes in climate and land use are major drivers of biodiversity loss. These drivers likely interact and their mutual effects alter biodiversity. These interaction mechanisms are rarely considered in biodiversity assessments, as only the combined individual effects are reported. In this study, we explored interaction effects from mechanisms that potentially affect biodiversity under climate change. These mechanisms entail tha...

Projections of future changes in biodiversity and ecosystem services (BES) are of increasing importance to inform policy and decision-making on options for conservation and sustainable use of BES. Scenario-based modelling is a powerful tool to assess these future changes. This study assesses the consequences for BES in Europe under four socio-environmental scenarios designed from a BES perspective. We evaluated these scenarios...

With this letter, we respond to the commentary by Kamp et al. on our paper (Nunez et al. in Reg Environ Chang 20:39, 2020) that reports on potential biodiversity change in Central Asian grasslands using climate and land-use change scenarios. In their commentary, Kamp et al. criticize data and methods employed and discuss several shortfalls of our approach. In this response, we argue that in our paper projections of future biod...

Central Asian grasslands are extensively used for pastoral livestock grazing. This traditional land use is nowadays characterized by intensifying grasslands into more productive pastures. This change affects biodiversity and diminishes grasslands’ ecological role. Biodiversity impacts are probably also exacerbated by climate change. These changes in biodiversity are poorly studied in Central Asia. Here, we estimated potential...

Scenario‐based biodiversity modelling is a powerful approach to evaluate how possible future socio‐economic developments may affect biodiversity. Here, we evaluated the changes in terrestrial biodiversity intactness, expressed by the mean species abundance (MSA) metric, resulting from three of the shared socio‐economic pathways (SSPs) combined with different levels of climate change (according to representative concentration p...

Aim Experimental nitrogen (N) addition (fertilization) studies are commonly used to quantify the impacts of increased N inputs on plant biodiversity. However, given that plant community responses can vary considerably among individual studies, there is a clear need to synthesize and generalize findings with meta‐analytical approaches. Our goal was to quantify changes in species richness and abundance in plant communities in re...

Aim Habitat loss continues to cause loss of biodiversity. To quantify the effects of land‐use change on the diversity and composition of ecological communities – in terms of functional groups – we make modelled estimates of the impact of past and future (to 2050) land‐use change on the overall diversity and dietary guild structure of tropical forest bird communities. Location Tropical and subtropical forests (40° S to 40° N )....

Aim Predictive species distribution modelling is a useful tool for extracting the maximum amount of information from biological collections and floristic inventories. However, in many tropical regions records are only available from a small number of sites. This can limit the application of predictive modelling, particularly in the case of rare and endangered species. We aim to address this problem by developing a methodology...