Have you ever wondered exactly what those ‘weeds’ are growing along the kerb or between the cracks in the pavement? Not the pampered plants of parks, front gardens and herbaceous borders, but simply those that exist everywhere and nowhere in particular: the true survivors, the botanical opportunists. In this handy guide, we introduce the most commonplace flowers, shrubs, grasses, mosses and ferns that are to be found on the street, and show the main characteristics by which you can recognise them. Soon you’ll be more alert than ever to the rebellious species of tarmac, wall and gutter as they defy weedkiller, climate change and dog wee. So you can identify the plants you discover in your town as readily as possible, the species are arranged according to their growth form. The book starts with the largest group – herbaceous plants – followed by a few woody plants, grasses, mosses and ferns. The first group is divided again according to flower colour: white, yellow, red/pink, blue/purple and green or brown. Within each colour, you will first find the flowers with a maximum of four petals, then those with five, then those with more than five and finally those with bilaterally symmetrical flowers. So you know quickly which group you are in, there are corresponding symbols in the profile at the bottom of each page. This ingenious little book is sure to enliven even the most mundane walk on the dreariest of days.

Voraussetzung für eine reiche Obst- und Gemüseernte ist, dass die Blüten dieser Pflanzen ausreichend bestäubt werden. Insekten - insbesondere Wildbienen - spielen dabei eine bedeutende Rolle; sie sind die wichtigsten Nutzpflanzenbestäuber. Damit die Insekten sich aber auch dort einfinden, wo Kirschbaum, Himbeerstrauch oder die Kürbispflanze steht, müssen für sie geeignete Lebensräume zur Verfügung stehen. Dieses Buch zeigt, was dazu nötig ist und wie man den Ertrag unserer Nutzpflanzen durch die Förderung ihrer Bestäuber verbessern kann.

Ein Naturschutztrend macht Furore: #krautschau! Rebellen-Botaniker ziehen durch die Städte und markieren mit Kreide Pflanzen in Pflasterfugen und Mauerritzen, um das Bewusstsein für diese "Mauerblümchen" zu wecken. Jeder kann mitmachen und dieses Bestimmungsbuch ist der perfekte Begleiter. Der Naturführer stellt die häufigsten Stadtpflanzen vor. Für jede Pflanze gibt es zwei Abbildungen: ein Foto aus ihrem städtischen Lebensraum und eine Illustration aus "Was blüht denn da?", also Wirklichkeit und Ideal nebeneinander. In der Einleitung wird erklärt, warum gerade diese Pflanzen für das Ökosystem der Stadt so wichtig sind und wie Pflanzen es schaffen, noch in der kleinsten Ritze zu wachsen und sogar den Asphalt zu durchbrechen.

Abstract: Ecological intensification has been embraced with great interest by the academic sector but is still rarely taken up by farmers because monitoring the state of different ecological functions is not straightforward. Modelling tools can represent a more accessible alternative of measuring ecological functions, which could help promote their use amongst farmers and other decision-makers. In the case of crop pollination, modelling has traditionally followed either a mechanistic or a data-driven approach. Mechanistic models simulate the habitat preferences and foraging behaviour of pollinators, while data-driven models associate georeferenced variables with real observations. Here, we test these two approaches to predict pollination supply and validate these predictions using data from a newly released global dataset on pollinator visitation rates to different crops. We use one of the most extensively used models for the mechanistic approach, while for the data-driven approach, we select from among a comprehensive set of state-of-the-art machine-learning models. Moreover, we explore a mixed approach, where data-derived inputs, rather than expert assessment, inform the mechanistic model. We find that, at a global scale, machine-learning models work best, offering a rank correlation coefficient between predictions and observations of pollinator visitation rates of 0.56. In turn, the mechanistic model works moderately well at a global scale for wild bees other than bumblebees. Biomes characterized by temperate or Mediterranean forests show a better agreement between mechanistic model predictions and observations, probably due to more comprehensive ecological knowledge and therefore better parameterization of input variables for these biomes. This study highlights the challenges of transferring input variables across multiple biomes, as expected given the different composition of species in different biomes. Our results provide clear guidance on which pollination supply models perform best at different spatial scales - the first step towards bridging the stakeholder-academia gap in modelling ecosystem service delivery under ecological intensification

Abstract: Current global change substantially threatens pollinators, which directly impacts the pollination services underpinning the stability, structure and functioning of ecosystems. Amongst these threats, many synergistic drivers, such as habitat destruction and fragmentation, increasing use of agrochemicals, decreasing resource diversity, as well as climate change, are known to affect wild and managed bees. Therefore, reliable indicators for pollinator sensitivity to such threats are needed. Biological traits, such as phenotype (e.g. shape, size and asymmetry) and storage reserves (e.g. fat body size), are important pollinator traits linked to reproductive success, immunity, resilience and foraging efficiency and, therefore, could serve as valuable markers of bee health and pollination service potential. This data paper contains an extensive dataset of wing morphology and fat body content for the European honeybee (Apis mellifera) and the buff-tailed bumblebee (Bombus terrestris) sampled at 128 sites across eight European countries in landscape gradients dominated by two major bee-pollinated crops (apple and oilseed rape), before and after focal crop bloom and potential pesticide exposure. The dataset also includes environmental metrics of each sampling site, namely landscape structure and pesticide use. The data offer the opportunity to test whether variation in the phenotype and fat bodies of bees is structured by environmental factors and drivers of global change. Overall, the dataset provides valuable information to identify which environmental threats predominantly contribute to the modification of these traits

Abstract: There is compelling evidence that more diverse ecosystems deliver greater benefits to people, and these ecosystem services have become a key argument for biodiversity conservation. However, it is unclear how much biodiversity is needed to deliver ecosystem services in a cost-effective way. Here we show that, while the contribution of wild bees to crop production is significant, service delivery is restricted to a limited subset of all known bee species. Across crops, years and biogeographical regions, crop-visiting wild bee communities are dominated by a small number of common species, and threatened species are rarely observed on crops. Dominant crop pollinators persist under agricultural expansion and many are easily enhanced by simple conservation measures, suggesting that cost-effective management strategies to promote crop pollination should target a different set of species than management strategies to promote threatened bees. Conserving the biological diversity of bees therefore requires more than just ecosystem-service-based arguments

Abstract: Research benefits increasingly from valuable contributions by citizen scientists. Mostly, participating adults investigate specific species, ecosystems or phenology to address conservation issues, but ecosystem functions supporting ecosystem health are rarely addressed and other demographic groups rarely involved. As part of a project investigating seed predation and dispersal as ecosystem functions along an urban-rural gradient, we tested whether elementary school children can contribute to the project as citizen scientists. Specifically, we compared data estimating vegetation cover, measuring vegetation height and counting seeds from a seed removal experiment, that were collected by children and scientists in schoolyards. Children counted seeds similarly to scientists but under- or overestimated vegetation cover and measured different heights. We conclude that children can be involved as citizen scientists in research projects according to their skill level. However, more sophisticated tasks require specific training to become familiarized with scientific experiments and the development of needed skills and methods

Abstract: During the main COVID-19 global pandemic lockdown period of 2020 an impromptu set of pollination ecologists came together via social media and personal contacts to carry out standardised surveys of the flower visits and plants in gardens. The surveys involved 67 rural, suburban and urban gardens, of various sizes, ranging from 61.18° North in Norway to 37.96° South in Australia, resulting in a data set of 25,174 rows, with each row being a unique interaction record for that date/site/plant species, and comprising almost 47,000 visits to flowers, as well as records of flowers that were not visited by pollinators, for over 1,000 species and varieties belonging to more than 460 genera and 96 plant families. The more than 650 species of flower visitors belong to 12 orders of invertebrates and four of vertebrates. In this first publication from the project, we present a brief description of the data and make it freely available for any researchers to use in the future, the only restriction being that they cite this paper in the first instance. The data generated from these global surveys will provide scientific evidence to help us understand the role that private gardens (in urban, rural and suburban areas) can play in conserving insect pollinators and identify management actions to enhance their potential

Abstract: Humans modify ecosystems and biodiversity worldwide, with negative consequences for ecosystem functioning. Promoting plant diversity is increasingly suggested as a mitigation strategy. However, our mechanistic understanding of how plant diversity affects the diversity of heterotrophic consumer communities remains limited. Here, we disentangle the relative importance of key components of plant diversity as drivers of herbivore, predator, and parasitoid species richness in experimental forests and grasslands. We find that plant species richness effects on consumer species richness are consistently positive and mediated by elevated structural and functional diversity of the plant communities. The importance of these diversity components differs across trophic levels and ecosystems, cautioning against ignoring the fundamental ecological complexity of biodiversity effects. Importantly, plant diversity effects on higher trophic-level species richness are in many cases mediated by modifications of consumer abundances. In light of recently reported drastic declines in insect abundances, our study identifies important pathways connecting plant diversity and consumer diversity across ecosystems