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Lembrechts, J.

Publications and source records attributed to Lembrechts, J..

2 recordsLinked to original sources

Darwin's Naturalization Conundrum explained by gradients of environmental stress and disturbance

Darwins Naturalization Conundrum (DNC) states that non-native species closely related to the native community are either more likely to succeed because shared adaptations help them overcome environmental filtering, or less likely to succeed because of strong competition with their native relatives. Despite extensive research, no general patterns have so far emerged. One reason may be that the relative importance of competition and environmental filtering depends on environmental conditions. To test this hypothesis, we conducted a global assessment of DNC examining patterns of phylogenetic relatedness of non-native plant species to the native community along gradients of elevation and anthropogenic disturbance in mountains. Phylogenetic distance of non-native to native species decreased with increasing elevation and in disturbed plant communities. Our results help resolve DNC by showing that the environmental context sets expectations for patterns of relatedness between non-native and native species and helps illuminate the ecological and evolutionary processes generating these patterns.

ecology↗

A workflow for microclimate sensor networks: integrating geographic tools, statistics, and local knowledge

Wireless environmental sensors have become integral tools in environmental and conservation research, offering diverse data streams that complement traditional inventory-based surveys. Despite advancements in sensor technology, the ad-hoc nature of site selection for sensor deployment often limits the potential of collected data. In this paper, we argue for the importance of informed site selection to capture environmental variation effectively. We introduce a comprehensive step-by-step practical guide for environmental sensor site selection and network deployment, drawing on experiences from diverse geographic locations and focusing on microclimate monitoring as a representative environmental variable. The workflow integrates Geographic Information Systems (GIS) tools, local community-based knowledge, and statistical methods to provide adaptive and iterative guidelines for both new and expanded sensor deployments. We demonstrate the workflows applicability across three distinct settings: arid montane deserts in Oman, urban and rural gardens in Belgium, and humid forested landscapes in Madagascar. To facilitate the workflows implementation and reproducibility worldwide, we provide a modular software supplement with flexible user input for robust, data-driven and interactive site selection. Critically, our workflow underscores the importance of equitable collaboration with local stakeholders, addresses challenges in sensor deployment, and offers a practical tool to enhance the effectiveness and efficiency of environmental sensing across disciplines including ecology, meteorology, agriculture, and landscape design.

ecology↗