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Biology subjects

Goka, K.

Publications and source records attributed to Goka, K..

2 recordsLinked to original sources

Harnessing Community Science and Open Research-based Data to Track Distributions of Invasive Species in Japan

At the forefront of invasive alien species (IAS) control, information gaps about the latest IAS distribution can hinder the required actions of local governments. In Japan, many prefectural governments still lack a list of invasive species despite the request stipulated in the Invasive Alien Species Management Action Plan enacted in 2015. Here, we examined to what extent open research-based data deposited by museums and herbaria (ORD) and community science data deposited by volunteers (CSD) can fill the gaps. We focused on 145 plant and 38 insect invasive species, and updated their distribution maps using ORD and CSD. We found complementarity as well as common limitations between ORD and CSD. While taxonomic biases were weaker in ORD, CSD had better prefectural coverage. In addition, some important taxa have rarely been captured by CSD or ORD. Mixed strategies of facilitating community science, supporting local museums, and taxon-specific monitoring by experts are necessary.

ecology↗

Severe disturbance overflows the stabilizing buffer of variable biotic interactions

Recent studies have revealed that biotic interactions in ecological communities vary over time, possibly mediating community responses to anthropogenic disturbances. This study investigated the heterogeneity of such variability within a real community and its impact on population stability in the face of pesticide application, particularly focusing on density-dependence of the interaction effect. Using outdoor mesocosms with a freshwater community, we found considerable heterogeneity in density-dependent interaction variability among links in the same community. This variability mediated the stability of recipient populations, with negative density-dependent interaction variability stabilizing whereas positive density-dependence and density-independent interaction variability destabilizing populations. Unexpectedly, the mean interaction strength, which is typically considered crucial for stability, had no significant effect, suggesting that how organisms interact on average is insufficient to predict the ecological impacts of pesticides. Our findings emphasize the multifaceted role of interaction variability in predicting the ecological consequences of anthropogenic disturbances such as pesticide application.

ecology↗