On the Interplay of Ownership Patterns, Biodiversity, and Conservation in Past and Present Temperate Forest Landscapes of Europe and North America

Purpose of Review Ownership patterns and the associated management characteristics are related to forest structures, biodiversity patterns, and their conservation worldwide. A literature review on this topic is missing so far. We fill this gap with an emphasis on the temperate forests of Europe and North America. Mixed-ownership landscapes are the special focus of the analysis. In a first step, historical effects of ownership patterns on forest structure and biodiversity are elucidated. Second, connections between present-time forest ownership patterns and both forest structural and biodiversity patterns are analyzed. Finally, implications for integrative conservation management are evaluated with a special focus on mixed-ownership forest landscapes. Recent Findings Close linkages between ownership type-specific forest management and particular forest structural and biodiversity patterns are identified for past and current forest landscapes. Both in Europe and North America, publicly and privately owned forests show comparable lines of historical development but with a time shift. Forest reserves and ancient woodland with long ecological continuity appear to be mainly connected with public ownership. A high diversity of management approaches and cultural landscape habitats is characteristic of non-industrial small private forests. In mixed-ownership landscapes, a more diverse mosaic of habitats has developed than in mono-ownership landscapes. Summary We conclude that cross-boundary ecosystem management is crucial for effective conservation in present-day mixed-ownership landscapes. Integrative forest management that considers biodiversity and social-ecological aspects across ownerships is indispensable. We present a framework of implications for conservation management in mixed-ownership forest landscapes that build on each other and may enhance cross-boundary ecosystem management.

An Overview of Subterranean Biodiversity Hotspots

Riding a wave of interest in biodiversity patterns in surface-dwelling communities, in 2000, Culver and Sket [1] published a paper listing 20 caves and karst wells with 20 or more known species. [...]

gen3sis: A general engine for eco-evolutionary simulations of the processes that shape Earth’s biodiversity

Understanding the origins of biodiversity has been an aspiration since the days of early naturalists. The immense complexity of ecological, evolutionary, and spatial processes, however, has made this goal elusive to this day. Computer models serve progress in many scientific fields, but in the fields of macroecology and macroevolution, eco-evolutionary models are comparatively less developed. We present a general, spatially explicit, eco-evolutionary engine with a modular implementation that enables the modeling of multiple macroecological and macroevolutionary processes and feedbacks across representative spatiotemporally dynamic landscapes. Modeled processes can include species’ abiotic tolerances, biotic interactions, dispersal, speciation, and evolution of ecological traits. Commonly observed biodiversity patterns, such as α, β, and γ diversity, species ranges, ecological traits, and phylogenies, emerge as simulations proceed. As an illustration, we examine alternative hypotheses expected to have shaped the latitudinal diversity gradient (LDG) during the Earth’s Cenozoic era. Our exploratory simulations simultaneously produce multiple realistic biodiversity patterns, such as the LDG, current species richness, and range size frequencies, as well as phylogenetic metrics. The model engine is open source and available as an R package, enabling future exploration of various landscapes and biological processes, while outputs can be linked with a variety of empirical biodiversity patterns. This work represents a key toward a numeric, interdisciplinary, and mechanistic understanding of the physical and biological processes that shape Earth’s biodiversity.

Deep-time biodiversity patterns and the dinosaurian fossil record of the Late Cretaceous Western Interior, North America

In order for palaeontological data to be informative to ecologists seeking to understand the causes of today's diversity patterns, palaeontologists must demonstrate that actual biodiversity patterns are preserved in our reconstructions of past ecosystems. During the Late Cretaceous, North America was divided into two landmasses, Laramidia and Appalachia. Previous work has suggested strong faunal provinciality on Laramidia at this time, but these arguments are almost entirely qualitative. We quantitatively investigated faunal provinciality in ceratopsid and hadrosaurid dinosaurs using a biogeographic network approach and investigated sampling biases by examining correlations between dinosaur occurrences and collections. We carried out a model-fitting approach using generalized least-squares regression to investigate the sources of sampling bias we identified. We find that while the raw data strongly support faunal provinciality, this result is driven by sampling bias. The data quality of ceratopsids and hadrosaurids is currently too poor to enable fair tests of provincialism, even in this intensively sampled region, which probably represents the best-known Late Cretaceous terrestrial ecosystem on Earth. To accurately reconstruct biodiversity patterns in deep time, future work should focus on smaller scale, higher resolution case studies in which the effects of sampling bias can be better controlled.