Quantifying landscape characteristics and linking them to ecological processes is one of the central goals ecology. Landscape metrics are a widely used tool for analysis patch‐based, discrete land‐cover classes. Existing software calculate has several constraints, such as being limited single platform, not open‐source or involving complicated integration into large workflows. We present landscapemetrics , an R package that overcomes many constraints existing metric software. The includes...

Seagrass beds provide tremendous services to society, including the storage of carbon, with important implications for climate change mitigation. Prioritizing conservation this valuable natural capital is global significance, and seagrass in carbon markets through projects that minimize loss, increase area or restore degraded areas represents a mechanism towards end. Using newly available Caribbean distribution data, we estimated region calculated economic valuations total ecosystem storage....

Abstract Purpose of Review Landscape ecology, the study complex interactions between landscapes and ecological processes, has hugely benefited from increase in widely available open-source software recent years. In particular, R programming language provides a wealth community developed tools for landscape ecology. Recent Findings this paper, we examine existing packages downloading, processing visualisation spatial data, as well those specifically analysis. Additionally, outline results...

Abstract Purpose of Review Landscapes can be defined as mosaics different land covers, habitats, ecosystems, or land-use systems. The link between spatial heterogeneous patterns and ecological processes is the core concept in research field landscape ecology. Nowadays, advanced computational methods are essential to due its cross-disciplinary nature, increasing availability data, complexity Recent Findings This review provides an overview recent developments that have We focus on key topics...

Abstract Tree mortality is an important process of forest stand dynamics and knowledge it fundamental to implement adequate management strategies. Subject several factors, tree can induce different spatial patterns on the remaining live dead trees. While spatially clustered in young forests often driven by competition, old-growth forests, caused disturbance agents. This study focused a spatiotemporal analysis mature temperate located central Mexico dominated Pinus montezumae Alnus firmifolia...

Abstract Understanding factors controlling primary production is fundamental for the protection, management, and restoration of ecosystems. Tropical seagrass ecosystems are among most productive worldwide, yielding tremendous services society. Yet they also impaired from anthropogenic stressors, prompting calls ecosystem‐based approaches. Artificial reefs (ARs) commonly applied in coastal marine to rebuild failing fisheries have recently gained attention their potential promote carbon...

Hesselbarth, M. H. K., (2021). shar: An R package to analyze species-habitat associations using point pattern analysis. Journal of Open Source Software, 6(68), 3811, https://doi.org/10.21105/joss.03811

Rapid progression of human socio-economic activities has altered the structure and function natural landscapes. Species that rely on multiple, complementary habitat types (i.e., landscape complementation) to complete their life cycle may be especially at risk. However, such complementation received little attention in context connectivity modeling. A previous study flower longhorn beetles (Cerambycidae: Lepturinae) integrated into a continuous suitability 'surface', which was then used...

Abstract Question Species‐specific habitat associations are one of several processes that lead to a clustered spatial pattern plant populations. This occurs in tropical and temperate forests. To analyze species–habitat associations, four methods commonly used when determining from point environmental raster data. Two the randomize plants, two data patches. However, strengths weaknesses have never been analyzed detail. Methods We conducted simulation study most methods. The gamma test,...

This book chapter emphasizes the significance of categorical raster data in ecological studies, specifically land use or cover (LULC) data, and highlights pivotal role landscape metrics pattern-based spatial analysis comprehending environmental patterns their dynamics. It explores usage R packages, particularly landscapemetrics motif, for quantifying analyzing using LULC from three distinct European regions. showcases computation, visualization, comparison metrics, while also addressing...

Abstract Effective management of wild animals requires understanding how predation and harvest alter the composition populations. These top‐down processes can consumer body size behavior thus should also have consequences for bottom‐up because (1) is a critical determinant amount nutrients excreted (2) variation in foraging behavior, which strongly influenced by predation, determine spatial distribution nutrients. Changes to either are known affect ecosystem‐scale nutrient dynamics, but...

ABSTRACT Tropical seagrass ecosystems are globally imperiled due to overfishing and anthropogenic disturbances. Sustaining the services they provide will require managing resilience, particularly with increased volatility from climate change. Portfolio theory is touted as a mechanism increase resilience in because it takes advantage of temporal local production dynamics stability at larger spatial scales. Using an individual‐based model network artificial reefs across multiple that...

An understanding of how biodiversity is distributed across space key to much ecology and conservation. Many predictive modelling approaches have been developed estimate the distribution over various spatial scales. Community techniques may offer many benefits single species modelling. However, capable estimating precise makeups communities are highly data intensive thus often limited in their applicability. Here we present an R package, spectre, which can predict regional community...