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Morpurgo, J.

Publications and source records attributed to Morpurgo, J..

5 recordsLinked to original sources

Designing urban green-space heterogeneity across urbanisation gradients to maintain avian richness

Urban expansion drives land cover change and habitat simplification, contributing to biodiversity loss. Urban green spaces can mitigate these impacts, but their effectiveness depends on its configuration and implementation. Here, we examine how three complementary dimensions of environmental heterogeneity--plant species richness, habitat heterogeneity, and foliage-layer richness--shape bird richness along an urbanisation gradient in the Netherlands. Using bird and plant occurrence data, LiDAR-derived vegetation structure, and land-use data, we fitted generalized additive models at three spatial scales (100, 200, and 300 m) to assess how these relationships vary across the urbanisation gradient. Plant species richness showed the strongest and consistent positive effect on bird richness, disregarding urbanization intensities. Habitat heterogeneity showed most pronounced positive effects at intermediate levels of urbanisation. In contrast, foliage-layer richness had weak associations with bird richness across urbanization intensities. Together, these results demonstrate that sustaining urban bird diversity requires urbanisation-intensity-dependent design of green-space heterogeneity. Increasing plant richness is generally recommended across urbanization intensities. Increasing habitat heterogeneity is more effective at intermediate levels of urbanisation and appears less suitable in highly urbanised contexts. Beyond simply expanding green space area or their spatial complexity alone, urban planning should focus on the thoughtful design of different types of environmental heterogeneity. This includes city-wide species-rich planting and structurally diverse habitat mosaics in mid-density areas to sustain urban bird diversity.

ecology↗

Invertebrate species distributions in urban ecosystems are driven by habitat availability, not by anthropogenic drivers

Rapid urbanisation puts pressure on biodiversity by habitat fragmentation and habitat quality among others. These habitat changes are known to affect species dispersal and connectivity and ultimately species distribution in many ecosystems. However, little is known about the changing urban species distributions which in turn influence community assembly. New DNA-based sampling methods combined with species distribution modelling provide a way to quantitatively estimate urban community assembly through assessing many species distributions and their drivers simultaneously. We investigated species distributions of entire communities in the city of The Hague (the Netherlands) by sampling DNA with two distinct methods: collecting data on invertebrate occurrence with traditional trapping (bulk; n = 205) and a novel Environmental DNA method (eDNA; n = 207). After DNA sequencing, species were identified using Operational Taxonomic Units. Subsequently, individual species presence and absence were used in Species Distribution Models (SDMs), based on spatial information on vegetation and anthropogenic influences. The results show a difference in coverage of sampling methods (bulk vs. eDNA), indicating their complementary information. The models on species distributions were generally significantly better than random models (59.5%), and performed well during calibration (90.4%, AUC > 0.70). In contrast, during validation very few SDMs (1.3%, AUC > 0.70) performed adequately in predicting species distributions. Through this novel combination of DNA sampling with SDMs we show that density and structure of vegetation, as well as distance to water are more important for urban invertebrate distribution than direct anthropogenic pressures. This suggests that dispersal is not a limiting factor in The Hagues urban environment. The availability of a variety of urban green infrastructures seems sufficient to attract many of the species observed. Hence, ensuring sufficient green infrastructure in the urban environment should be the first priority to enhance biodiversity in the urban environment. HighlightsO_LIVegetation and water indicators are the most important predictors for accurate assessment of species distribution C_LIO_LIAnthropogenic pressures have lower impact on urban species distributions C_LIO_LIDNA-SDM combinations show potential in guiding urban planners in evidence-based decision making C_LI

ecology↗

Vegetation density is the main driver of insect species richness and diversity in small private urban front gardens

Urbanisation changes the natural ecosystems and vegetation to urban green spaces, and causes insect communities to experience novel challenges for survival. New evidence suggests that urban green spaces, no matter how small, can provide meaningful habitats for insects. Information on design and management of small gardens (<10m2) in dense urban areas is still scarce. In particular, it is hardly known which garden designs provide most benefits to insects. We surveyed 65 small private urban front gardens (=1.7m2) in Amsterdam and The Hague in The Netherlands and measured a series of garden attributes thought to be relevant for general, flower-visiting and herbivorous insect species richness and diversity. Plant coverage and richness were the strongest predictors for insect biodiversity and species richness. We found no support for associations with native vs. exotic plants or garden size. Synthesis and applicationsTo strengthen insect biodiversity in the urban environment, we recommend future design of urban green spaces to focus on maximising coverage and richness of vegetation, potentially even using exotic species to fill in the gaps where native plant species cannot survive. HighlightsO_LISmall urban gardens hold large potential for supporting urban insect communities C_LIO_LITotal vegetation cover was the strongest predictor for insect diversity and richness C_LIO_LIPlant richness was the second strongest predictor, but not for herbivorous insects C_LIO_LIGarden size had no effect on insect diversity or richness C_LIO_LINative vegetation did not impact insect diversity or richness C_LI O_FIG O_LINKSMALLFIG WIDTH=196 HEIGHT=200 SRC="FIGDIR/small/598424v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@17e1ad3org.highwire.dtl.DTLVardef@13322forg.highwire.dtl.DTLVardef@43bd23org.highwire.dtl.DTLVardef@136524d_HPS_FORMAT_FIGEXP M_FIG Graphical abstract. Shown are either plus or minus signs indicating a positive or negative trends from the models that predict species richness and Shannon biodiversity of insects, pollinators or herbivores by the design of small urban gardens. *indicates a statistically significant trend at p-value < 0.05. A plus or minus sign without* means a visible statistically non-significant trend. A greyed out square indicates exclusion of the term in the model. A white square indicates non-significant and non-visible trend. C_FIG

ecology↗

A unified urban green infrastructure classification for assessing ecosystem services and biodiversity

Green infrastructure (GI) classifications are widely applied to predict and assess its suitability for urban biodiversity and ecosystem service (ES) provisioning. However, there is no consolidated classification, which hampers elucidating synthesis and consolidated relationships across ES and biodiversity. In this research, we aim to bridge the gap between urban GI research on ES and biodiversity by providing a standardized common classification that enables consistent spatial analysis. We analyzed GI classifications used across five ES and four taxa in scientific literature. GI classes were analyzed based on name, definition and characteristics. Results were used to create a novel classification scheme accounting for both ES and biodiversity. We show that many GI classes are unique to a ES or taxon, indicating a lack of multifunctionality of the classification applied. Among the universally used classes, diversity in their definitions is large, reducing our mechanistic understanding of multifunctionality in GI. Finally, we show that most GI classes are solely based on land-use or land-cover, lacking in-depth detail on vegetation. Through standardization and incorporation of key characteristics, we created a consolidated classification. This classification is fully available through openly-accessible databases. Our consolidated standardized classification accommodates interdisciplinary research on ES and biodiversity and allows elucidating urban biodiversity and ES relationships into greater detail, facilitating cross-comparisons and integrated assessments. This will provide a foundation for future research efforts into GI multi-functionality and urban greening policies.

ecology↗

The role of elections as drivers of tropical deforestation

Tropical forests support immense biodiversity and provide essential ecosystem services for billions of people. Despite this value, tropical deforestation continues at a high rate. Emerging evidence suggests that elections can play an important role in shaping deforestation, for instance by incentivising politicians to allow increased utilisation of tropical forests in return for political support and votes. Nevertheless, the role of elections as a driver of deforestation has not been comprehensively tested at broad geographic scales. Here, we created an annual database from 2001 to 2018 on political elections and forest loss for 55 tropical nations and modelled the effect of elections on deforestation. In total, 1.5 million km2 of forest was lost during this time period, and the rate of deforestation increased in 37 (67%) of the analysed countries. Deforestation was significantly lower in years with presidential or lower chamber elections compared to non-election years, which is in contrast to previous local-scale studies. Moreover, deforestation was significantly higher in presidential or lower chamber elections that are competitive (i.e. when the opposition can participate in elections and has a legitimate chance to gain governmental power) compared to uncompetitive elections. Our results document a pervasive loss of tropical forests and suggest that competitive elections are potential drivers of deforestation. We recommned that organisations monitoring election transparency and fairness should also monitor environmental impacts such as forest loss, habitat destruction and resource exploitation. This would benefit the tracking of potential illegal vote buying with natural resources.

ecology↗