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  • Journal article
    Dechant B, Kattge J, Pavlick R, Schneider FD, Sabatini FM, Moreno-Martínez Á, Butler EE, van Bodegom PM, Vallicrosa H, Kattenborn T, Boonman CCF, Madani N, Wright IJ, Dong N, Feilhauer H, Peñuelas J, Sardans J, Aguirre-Gutiérrez J, Reich PB, Leitão PJ, Cavender-Bares J, Myers-Smith IH, Durán SM, Croft H, Prentice IC, Huth A, Rebel K, Zaehle S, Šímová I, Díaz S, Reichstein M, Schiller C, Bruelheide H, Mahecha M, Wirth C, Malhi Y, Townsend PAet al., 2024,

    Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches

    , Remote Sensing of Environment, Vol: 311, ISSN: 0034-4257

    Foliar traits such as specific leaf area (SLA), leaf nitrogen (N), and phosphorus (P) concentrations play important roles in plant economic strategies and ecosystem functioning. Various global maps of these foliar traits have been generated using statistical upscaling approaches based on in-situ trait observations. Here, we intercompare such global upscaled foliar trait maps at 0.5° spatial resolution (six maps for SLA, five for N, three for P), categorize the upscaling approaches used to generate them, and evaluate the maps with trait estimates from a global database of vegetation plots (sPlotOpen). We disentangled the contributions from different plant functional types (PFTs) to the upscaled maps and quantified the impacts of using different plot-level trait metrics on the evaluation with sPlotOpen: community weighted mean (CWM) and top-of-canopy weighted mean (TWM). We found that the global foliar trait maps of SLA and N differ drastically and fall into two groups that are almost uncorrelated (for P only maps from one group were available). The primary factor explaining the differences between these groups is the use of PFT information combined with remote sensing-derived land cover products in one group while the other group mostly relied on environmental predictors alone. The maps that used PFT and corresponding land cover information exhibit considerable similarities in spatial patterns that are strongly driven by land cover. The maps not using PFTs show a lower level of similarity and tend to be strongly driven by individual environmental variables. Upscaled maps of both groups were moderately correlated to sPlotOpen data aggregated to the grid-cell level (R = 0.2–0.6) when processing sPlotOpen in a way that is consistent with the respective trait upscaling approaches, including the plot-level trait metric (CWM or TWM) and the scaling to the grid cells with or without accounting for fractional land cover. The impact of using TWM or CWM was relevant

  • Journal article
    Jeong S, Ryu Y, Gentine P, Lian X, Fang J, Li X, Dechant B, Kong J, Choi W, Jiang C, Keenan TF, Harrison SP, Prentice ICet al., 2024,

    Persistent global greening over the last four decades using novel long-term vegetation index data with enhanced temporal consistency

    , Remote Sensing of Environment, Vol: 311, ISSN: 0034-4257

    Advanced Very High-Resolution Radiometer (AVHRR) satellite observations have provided the longest global daily records from 1980s, but the remaining temporal inconsistency in vegetation index datasets has hindered reliable assessment of vegetation greenness trends. To tackle this, we generated novel global long-term Normalized Difference Vegetation Index (NDVI) and Near-Infrared Reflectance of vegetation (NIRv) datasets derived from AVHRR and Moderate Resolution Imaging Spectroradiometer (MODIS). We addressed residual temporal inconsistency through three-step post processing including cross-sensor calibration among AVHRR sensors, orbital drifting correction for AVHRR sensors, and machine learning-based harmonization between AVHRR and MODIS. After applying each processing step, we confirmed the enhanced temporal consistency in terms of detrended anomaly, trend and interannual variability of NDVI and NIRv at calibration sites. Our refined NDVI and NIRv datasets showed a persistent global greening trend over the last four decades (NDVI: 0.0008 yr−1; NIRv: 0.0003 yr−1), contrasting with those without the three processing steps that showed rapid greening trends before 2000 (NDVI: 0.0017 yr−1; NIRv: 0.0008 yr−1) and weakened greening trends after 2000 (NDVI: 0.0004 yr−1; NIRv: 0.0001 yr−1). These findings highlight the importance of minimizing temporal inconsistency in long-term vegetation index datasets, which can support more reliable trend analysis in global vegetation response to climate changes.

  • Journal article
    Coathup M, Savolainen V, 2024,

    Ecological speciation in sympatric palms: 5. Evidence for pleiotropic speciation genes using gene knockout and high-throughput phenotyping

    , Evolutionary Journal of the Linnean Society

    Theoretical models predict that sympatric, ecological speciation may be facilitated more readily when so-called ‘magic traits’ are present, linking traits under divergent selection with assortative mating. Such traits might be encoded by pleiotropic genes, that is, genes that affect multiple, apparently unrelated, phenotypes. However, few convincing examples of sympatric speciation exist, and empirical evidence for the role of magic traits in driving such speciation is rare. One of the strongest cases of sympatric speciation is the Howea palms of Lord Howe Island, Australia, comprising the sister species H. belmoreana and H. forsteriana, which have diverged due to soil substrate preferences and flowering time displacement. By carrying out high-throughput phenotyping experiments using 1,830 Arabidopsis thaliana plants with knockouts of candidate Howea ‘speciation genes’, here we investigate the role that pleiotropy may have played in the speciation process. We identify several genes that show signatures of adaptive divergence between the Howea species and demonstrate pleiotropic roles in soil stress tolerance and flowering time, consistent with the Howea speciation scenario – notably, Howea orthologs of the A. thaliana loci At2-MMP, DCL1, RCD1, SAL1, and SIZ1. Empirical evidence is provided, therefore, for a range of pleiotropic genes with the potential to have driven sympatric speciation by generating magic traits which link divergent selection to non-random mating.

  • Journal article
    Boyle MJW, Sharp AC, Barclay MV, Chung AYC, Ewers RM, de Rougemont G, Bonebrake TC, Kitching RL, Stork NE, Ashton LAet al., 2024,

    Tropical beetles more sensitive to impacts are less likely to be known to science

    , Current Biology, Vol: 34, Pages: R770-R771, ISSN: 0960-9822

    Insects are posited to be declining globally. This is particularly pertinent in tropical forests, which exhibit both the highest levels of biodiversity and the highest rates of biodiversity loss. However, for the hyper-diverse tropical insects there are scant data available to evidence declines. Understanding tropical insect diversity and its response to environmental change has therefore become a challenge, but it is estimated that 80% of tropical insect species remain undescribed1. Insect biodiversity predictions are based mostly on well-studied taxa and extrapolated to other groups, but no one knows whether resilience to environmental change varies between undescribed and described species. Here, we collected staphylinid beetles from unlogged and logged tropical forests in Borneo and investigated their responses to environmental change. Out of 252 morphospecies collected, 76% were undescribed. Undescribed species showed higher community turnover, reduced abundance and decreased probability of occurrence in logged forests. Thus the unknown components of tropical insect biodiversity are likely more impacted by human-induced environmental change. If these patterns are widespread, how accurate will assessments of insect declines in the tropics be?

  • Journal article
    Savolainen V, Bezeng BS, 2024,

    An African perspective to biodiversity conservation in the 21st century

    , Philosophical Transactions of the Royal Society B: Biological Sciences, ISSN: 0962-8436

    Africa boasts high biodiversity while also being home to some of the largest and fastest-growing human populations. Although the current environmental footprint of Africa is low compared to other continents, the population of Africa is estimated at around 1.5 billion inhabitants, representing nearly 18% of the world's total population. Consequently, Africa’s rich biodiversity is under threat, yet only 19% of the landscape and 17% of the seascape are under any form of protection. To effectively address this issue and align with the Convention on Biological Diversity's ambitious ‘30 by 30’ goal, which seeks to protect 30% of the world's land and oceans by 2030, substantial funding and conservation measures are urgently required. In response to this critical challenge, as scientists and conservationists working in Africa, we propose five recommendations for future directions aimed at enhancing biodiversity conservation for the betterment of African society: (i) accelerate data collection, data sharing and analytics for informed policy and decision making; (ii) innovate education and capacity building for future generations; (iii) enhance and expand protected areas, ecological networks, and foundational legal frameworks; (iv) unlock creative funding channels for cutting-edge conservation initiatives; and (v) integrate indigenous and local knowledge into forward-thinking conservation strategies. By implementing these recommendations, we believe Africa can make significant strides towards preserving its unique biodiversity, while fostering a healthier society, and contributing to global conservation efforts.

  • Journal article
    Mills MB, Both S, Jotan P, Huaraca Huasco W, Cruz R, Pillco MM, Burslem DFRP, Maycock C, Malhi Y, Ewers RM, Berrio JC, Kaduk J, Page S, Robert R, Teh YA, Riutta Tet al., 2024,

    From tree to plot: investigating stem CO2 efflux and its drivers along a logging gradient in Sabah, Malaysian Borneo.

    , New Phytol

    Stem respiration constitutes a substantial proportion of autotrophic respiration in forested ecosystems, but its drivers across different spatial scales and land-use gradients remain poorly understood. This study quantifies and examines the impact of logging disturbance on stem CO2 efflux (EA) in Malaysian Borneo. EA was quantified at tree- and stand-level in nine 1-ha plots over a logging gradient from heavily logged to old-growth using the static chamber method. Tree-level results showed higher EA per unit stem area in logged vs old-growth plots (37.0 ± 1.1 vs 26.92 ± 1.14 g C m-2 month-1). However, at stand-level, there was no difference in EA between logged and old-growth plots (6.7 ± 1.1 vs 6.0 ± 0.7 Mg C ha-1 yr-1) due to greater stem surface area in old-growth plots. Allocation to growth respiration and carbon use efficiency was significantly higher in logged plots. Variation in EA at both tree- and stand-level was driven by tree size, growth and differences in investment strategies between the forest types. These results reflect different resource allocation strategies and priorities, with a priority for growth in response to increased light availability in logged plots, while old-growth plots prioritise maintenance and cell structure.

  • Journal article
    Sethi S, Bick IA, Chen M-Y, Crouzeilles R, Hillier BV, Lawson J, Lee C-Y, Liu S-H, Henrique de Freitas Parruco C, Rosten CM, Somveille M, Tuanmu M-N, Banks-Leite Cet al., 2024,

    Large-scale avian vocalization detection delivers reliable global biodiversity insights

    , Proceedings of the National Academy of Sciences of USA, Vol: 121, ISSN: 0027-8424

    Tracking biodiversity and its dynamics at scale is essential if we are to solve global environmental challenges. Detecting animal vocalizations in passively recorded audio data offers an automatable, inexpensive, and taxonomically broad way to monitor biodiversity. However, the labor and expertise required to label new data and fine-tune algorithms for each deployment is a major barrier. In this study, we applied a pretrained bird vocalization detection model, BirdNET, to 152,376 h of audio comprising datasets from Norway, Taiwan, Costa Rica, and Brazil. We manually listened to a subset of detections for each species in each dataset, calibrated classification thresholds, and found precisions of over 90% for 109 of 136 species. While some species were reliably detected across multiple datasets, the performance of others was dataset specific. By filtering out unreliable detections, we could extract species and community-level insight into diel (Brazil) and seasonal (Taiwan) temporal scales, as well as landscape (Costa Rica) and national (Norway) spatial scales. Our findings demonstrate that, with relatively fast but essential local calibration, a single vocalization detection model can deliver multifaceted community and species-level insight across highly diverse datasets; unlocking the scale at which acoustic monitoring can deliver immediate applied impact.

  • Journal article
    Wayman JP, Sadler JP, Martin TE, Graham LJ, White HJ, Tobias JA, Matthews TJet al., 2024,

    Unravelling the complexities of biotic homogenization and heterogenization in the British avifauna.

    , J Anim Ecol

    Biotic homogenization is a process whereby species assemblages become more similar through time. The standard way of identifying the process of biotic homogenization is to look for decreases in spatial beta-diversity. However, using a single assemblage-level metric to assess homogenization can mask important changes in the occupancy patterns of individual species. Here, we analysed changes in the spatial beta-diversity patterns (i.e. biotic heterogenization or homogenization) of British bird assemblages within 30 km × 30 km regions between two periods (1988-1991 and 2008-2011). We partitioned the change in spatial beta-diversity into extirpation and colonization-resultant change (i.e. change in spatial beta-diversity within each region resulting from both extirpation and colonization). We used measures of abiotic change in combination with Bayesian modelling to disentangle the drivers of biotic heterogenization and homogenization. We detected both heterogenization and homogenization across the two time periods and three measures of diversity (taxonomic, phylogenetic, and functional). In addition, both extirpation and colonization contributed to the observed changes, with heterogenization mainly driven by extirpation and homogenization by colonization. These assemblage-level changes were primarily due to shifting occupancy patterns of generalist species. Compared to habitat generalists, habitat specialists had significantly (i) higher average contributions to colonization-resultant change (indicating heterogenization within a region due to colonization) and (ii) lower average contributions to extirpation-resultant change (indicating homogenization from extirpation). Generalists showed the opposite pattern. Increased extirpation-resultant homogenization within regions was associated with increased urban land cover and decreased habitat diversity, precipitation, and temperature. Changes in extirpation-resultant heterogenization and col

  • Journal article
    Ewers RM, 2024,

    An audacious approach to conservation.

    , Trends Ecol Evol

    New digital and sensor technology provides a huge opportunity to revolutionise conservation, but we lack a plan for deploying the technologies effectively. I argue that environmental research should be concentrated at a small number of 'super-sites' and that the concentrated knowledge from super-sites should be used to develop holistic ecosystem models. These, in turn, should be morphed into digital twin ecosystems by live connecting them with automated environmental monitoring programmes. Data-driven simulations can then help select pathways to achieve locally determined conservation goals, and digital twins could revise and adapt those decisions in real-time. This technology-heavy vision for 'smart conservation' provides a map toward a future defined by more flexible, more responsive, and more efficient management of natural environments.

  • Journal article
    Connolly JB, Burt A, Christophides G, Diabate A, Habtewold T, Hancock PA, James AA, Kayondo JK, Lwetoijera DW, Manjurano A, McKemey AR, Santos MR, Windbichler N, Randazzo Fet al., 2024,

    Publisher Correction: Considerations for first field trials of low-threshold gene drive for malaria vector control

    , Malaria Journal, Vol: 23, ISSN: 1475-2875
  • Journal article
    Heath BE, Suzuki R, LePenru NP, Skinner J, Orme CDL, Ewers RM, Sethi SS, Picinali Let al., 2024,

    Spatial ecosystem monitoring with a Multichannel Acoustic Autonomous Recording Unit (MAARU)

    , Methods in Ecology and Evolution, ISSN: 2041-210X

    1. Multi-microphone recording adds spatial information to recorded audio with emerging applications in ecosystem monitoring. Specifically placing sounds in space can improve animal count accuracy, locate illegal activity like logging and poaching, track animals to monitor behaviour and habitat use and allow for ‘beamforming’ to amplify sounds from target directions for downstream classification. Studies have shown many advantages of spatial acoustics, but uptake remains limited as the equipment is often expensive, complicated, inaccessible or only suitable for short-term deployments.2. With an emphasis on enhanced uptake and usability, we present a low-cost, open-source, six-channel recorder built entirely from commercially available components which can be integrated into a solar-powered, online system. The MAARU (Multichannel Acoustic Autonomous Recording Unit) works as an independent node in long-term autonomous, passive and/or short-term deployments. Here, we introduce MAARU's hardware and software and present the results of lab and field tests investigating the device's durability and usability.3. MAARU records multichannel audio with similar costs and power demands to equivalent omnidirectional recorders. MAARU devices have been deployed in the United Kingdom and Brazil, where we have shown MAARUs can accurately localise pure tones up to 6 kHz and bird calls as far as 8 m away (±10° range, 100% and >60% of signals, respectively). Louder calls may have even further detection radii. We also show how beamforming can be used with MAARUs to improve species ID confidence scores.4. MAARU is an accessible, low-cost option for those looking to explore spatial acoustics accurately and easily with a single device, and without the formidable expenses and processing complications associated with establishing arrays. Ultimately, the added directional element of the multichannel recording provided by MAARU allows for enhanced recording

  • Journal article
    Chik HYJ, Mannarelli M-E, Dos Remedios N, Simons MJP, Burke T, Schroeder J, Dugdale HLet al., 2024,

    Adult telomere length is positively correlated with survival and lifetime reproductive success in a wild passerine

    , Mol Ecol, Vol: 33, ISSN: 0962-1083

    Explaining variation in individual fitness is a key goal in evolutionary biology. Recently, telomeres, repeating DNA sequences capping chromosome ends, have gained attention as a biomarker for body state, physiological costs, and senescence. Existing research has provided mixed evidence for whether telomere length correlates with fitness, including survival and reproductive output. Moreover, few studies have examined how the rate of change in telomere length correlates with fitness in wild populations. Here, we intensively monitored an insular population of house sparrows, and collected longitudinal telomere and life history data (16 years, 1225 individuals). We tested whether telomere length and its rate of change predict fitness measures, namely survival, lifespan and annual and lifetime reproductive effort and success. Telomere length positively predicted short-term survival, independent of age, but did not predict lifespan, suggesting either a diminishing telomere length-survival correlation with age or other extrinsic factors of mortality. The positive association of telomere length with survival translated into reproductive benefits, as birds with longer telomeres produced more genetic recruits, hatchlings and reared more fledglings over their lifetime. In contrast, there was no association between telomere dynamics and annual reproductive output, suggesting telomere dynamics might not reflect the costs of reproduction in this population, potentially masked by variation in individual quality. The rate of change of telomere length did not correlate with neither lifespan nor lifetime reproductive success. Our results provide further evidence that telomere length correlates with fitness, and contribute to our understanding of the selection on, and evolution of, telomere dynamics.

  • Journal article
    Gaboriau T, Tobias JA, Silvestro D, Salamin Net al., 2024,

    Exploring the Macroevolutionary Signature of Asymmetric Inheritance at Speciation.

    , Syst Biol

    Popular comparative phylogenetic models such as Brownian Motion, Ornstein-Ulhenbeck, and their extensions, assume that, at speciation, a trait value is inherited identically by two descendant species. This assumption contrasts with models of speciation at a micro-evolutionary scale where descendants' phenotypic distributions are sub-samples of the ancestral distribution. Different speciation mechanisms can lead to a displacement of the ancestral phenotypic mean among descendants and an asymmetric inheritance of the ancestral phenotypic variance. In contrast, even macro-evolutionary models that account for intraspecific variance assume symmetrically conserved inheritance of ancestral phenotypic distribution at speciation. Here we develop an Asymmetric Brownian Motion model (ABM) that relaxes the assumption of symmetric and conserved inheritance of the ancestral distribution at the time of speciation. The ABM jointly models the evolution of both intra- and inter-specific phenotypic variation. It also infers the mode of phenotypic inheritance at speciation, which can range from a symmetric and conserved inheritance, where descendants inherit the ancestral distribution, to an asymmetric and displaced inheritance, where descendants inherit divergent phenotypic means and variances. To demonstrate this model, we analyze the evolution of beak morphology in Darwin finches, finding evidence of displacement at speciation. The ABM model helps to bridge micro- and macro-evolutionary models of trait evolution by providing a more robust framework for testing the effects of ecological speciation, character displacement, and niche partitioning on trait evolution at the macro-evolutionary scale.

  • Journal article
    Martins LP, Stouffer DB, Blendinger PG, Böhning-Gaese K, Costa JM, Dehling DM, Donatti CI, Emer C, Galetti M, Heleno R, Menezes Í, Morante-Filho JC, Muñoz MC, Neuschulz EL, Pizo MA, Quitián M, Ruggera RA, Saavedra F, Santillán V, Schleuning M, da Silva LP, Ribeiro da Silva F, Tobias JA, Traveset A, Vollstädt MGR, Tylianakis JMet al., 2024,

    Birds optimize fruit size consumed near their geographic range limits.

    , Science, Vol: 385, Pages: 331-336

    Animals can adjust their diet to maximize energy or nutritional intake. For example, birds often target fruits that match their beak size because those fruits can be consumed more efficiently. We hypothesized that pressure to optimize diet-measured as matching between fruit and beak size-increases under stressful environments, such as those that determine species' range edges. Using fruit-consumption and trait information for 97 frugivorous bird and 831 plant species across six continents, we demonstrate that birds feed more frequently on closely size-matched fruits near their geographic range limits. This pattern was particularly strong for highly frugivorous birds, whereas opportunistic frugivores showed no such tendency. These findings highlight how frugivore interactions might respond to stressful conditions and reveal that trait matching may not predict resource use consistently.

  • Journal article
    Simpson EG, Fraser I, Woolf H, Pearse WDet al., 2024,

    Variation in near-surface soil temperature drives plant assemblage differentiation across aspect.

    , Ecol Evol, Vol: 14, ISSN: 2045-7758

    Quantifying assemblage variation across environmental gradients provides insight into the ecological and evolutionary mechanisms that differentiate assemblages locally within a larger climate regime. We assessed how vascular plant functional composition and diversity varied across microenvironment to identify ecological differences in assemblages in a mountainous fieldsite in northeastern Utah, USA. Then, we looked at how life-history strategies and information about phylogenetic differences affect the relationship between functional metrics and environment. We found less functionally dispersed assemblages that were shorter and more resource-conservative on south-facing slopes where intra-annual soil temperature was hotter and more variable. In contrast, we found more functionally dispersed assemblages, that were taller and more resource-acquisitive on north-facing slopes where intra-annual temperature was cooler and less variable. Herbaceous and woody perennials drove these trends. Additionally, including information about phylogenetic differences in a dispersion metric indicated that phylogeny accounts for traits we did not measure. At this fieldsite, soil temperature acts as an environmental filter across aspect. If soil temperature increases and becomes more variable, intra-annually, the function of north- versus south-facing assemblages may be at risk for contrasting reasons. On south-facing slopes, assemblages may not have the variance in functional diversity needed to respond to more intense, stressful conditions. Conversely, assemblages on north-facing slopes may not have the resource-conservative strategies needed to persist if temperatures become hotter and more variable intra-annually. Given these results, we advocate for the inclusion of aspect differentiation in studies seeking to understand species and assemblage shifts in response to changing climate conditions.

  • Journal article
    Ewers RM, Orme CDL, Pearse WD, Zulkifli N, Yvon-Durocher G, Yusah KM, Yoh N, Yeo DCJ, Wong A, Williamson J, Wilkinson CL, Wiederkehr F, Webber BL, Wearn OR, Wai L, Vollans M, Twining JP, Turner EC, Tobias JA, Thorley J, Telford EM, Teh YA, Tan HH, Swinfield T, Svátek M, Struebig M, Stork N, Sleutel J, Slade EM, Sharp A, Shabrani A, Sethi SS, Seaman DJI, Sawang A, Roxby GB, Rowcliffe JM, Rossiter SJ, Riutta T, Rahman H, Qie L, Psomas E, Prairie A, Poznansky F, Pillay R, Picinali L, Pianzin A, Pfeifer M, Parrett JM, Noble CD, Nilus R, Mustaffa N, Mullin KE, Mitchell S, Mckinlay AR, Maunsell S, Matula R, Massam M, Martin S, Malhi Y, Majalap N, Maclean CS, Mackintosh E, Luke SH, Lewis OT, Layfield HJ, Lane-Shaw I, Kueh BH, Kratina P, Konopik O, Kitching R, Kinneen L, Kemp VA, Jotan P, Jones N, Jebrail EW, Hroneš M, Heon SP, Hemprich-Bennett DR, Haysom JK, Harianja MF, Hardwick J, Gregory N, Gray R, Gray REJ, Granville N, Gill R, Fraser A, Foster WA, Folkard-Tapp H, Fletcher RJ, Fikri AH, Fayle TM, Faruk A, Eggleton P, Edwards DP, Drinkwater R, Dow RA, Döbert TF, Didham RK, Dickinson KJM, Deere NJ, de Lorm T, Dawood MM, Davison CW, Davies ZG, Davies RG, Dančák M, Cusack J, Clare EL, Chung A, Chey VK, Chapman PM, Cator L, Carpenter D, Carbone C, Calloway K, Bush ER, Burslem DFRP, Brown KD, Brooks SJ, Brasington E, Brant H, Boyle MJW, Both S, Blackman J, Bishop TR, Bicknell JE, Bernard H, Basrur S, Barclay MVL, Barclay H, Atton G, Ancrenaz M, Aldridge DC, Daniel OZ, Reynolds G, Banks-Leite Cet al., 2024,

    Thresholds for adding degraded tropical forest to the conservation estate.

    , Nature, Vol: 631, Pages: 808-813

    Logged and disturbed forests are often viewed as degraded and depauperate environments compared with primary forest. However, they are dynamic ecosystems1 that provide refugia for large amounts of biodiversity2,3, so we cannot afford to underestimate their conservation value4. Here we present empirically defined thresholds for categorizing the conservation value of logged forests, using one of the most comprehensive assessments of taxon responses to habitat degradation in any tropical forest environment. We analysed the impact of logging intensity on the individual occurrence patterns of 1,681 taxa belonging to 86 taxonomic orders and 126 functional groups in Sabah, Malaysia. Our results demonstrate the existence of two conservation-relevant thresholds. First, lightly logged forests (<29% biomass removal) retain high conservation value and a largely intact functional composition, and are therefore likely to recover their pre-logging values if allowed to undergo natural regeneration. Second, the most extreme impacts occur in heavily degraded forests with more than two-thirds (>68%) of their biomass removed, and these are likely to require more expensive measures to recover their biodiversity value. Overall, our data confirm that primary forests are irreplaceable5, but they also reinforce the message that logged forests retain considerable conservation value that should not be overlooked.

  • Journal article
    Dunning J, Sanchez-Tojar A, Girndt A, Burke T, Hsu Y-H, Nakagawa S, Winney I, Schroeder Jet al., 2024,

    Extrapair paternity alongside social reproduction increases male lifetime fitness

    , Animal Behaviour, Vol: 213, Pages: 117-123, ISSN: 0003-3472

    Within breeding years, male birds vary in their reproductive strategy. While some maintain monogamy with a social partner, others also engage with extrapair partners, while others forgo monogamy altogether in favour of exclusively seeking extrapair paternity. Although theory predicts that extrapair paternity is beneficial to males, which sire extrapair offspring without investing in costly parental care, empirical examples from wild populations are sparse. We used 17 years of data from a closed population of house sparrows, Passer domesticus, with a complete genetic pedigree, to test the hypothesis that extrapair paternity increases male lifetime reproductive success. We compared a mixed strategy of within-pair (or social) and extrapair paternity with total genetic monogamy and total extrapair paternity. We demonstrate that males who combine within-pair and extrapair paternity have increased reproductive success against the other two groups. Our results also suggest that males that exclusively seek extrapair paternity have the lowest lifetime fitness. Overall, we provide an empirical demonstration of the theory, showing that where males can sire extrapair offspring alongside within-pair offspring, extrapair paternity is beneficial to male lifetime fitness.

  • Journal article
    Howes B, Gonzalez-Suarez M, Banks-Leite C, Bellotto-Trigo FC, Betts MGet al., 2024,

    A global latitudinal gradient in the proportion of terrestrial vertebrate forest species

    , GLOBAL ECOLOGY AND BIOGEOGRAPHY, Vol: 33, ISSN: 1466-822X
  • Journal article
    Saranholi BH, Franca FM, Vogler AP, Barlow J, de Mello FZV, Maldaner ME, Carvalho E, Gestich CC, Howes B, Banks-Leite C, Galetti PMet al., 2024,

    Testing and optimizing metabarcoding of iDNA from dung beetles to sample mammals in the hyperdiverse Neotropics

    , MOLECULAR ECOLOGY RESOURCES, Vol: 24, ISSN: 1755-098X
  • Journal article
    Moreno-Contreras I, Jokimäki J, Kaisanlahti-Jokimäki M-L, Leveau LM, Suhonen J, Tobias JA, Tryjanowski Pet al., 2024,

    Disentangling the drivers of urban bird diversity in the non-breeding season: A general synthesis.

    , Glob Chang Biol, Vol: 30

    Current knowledge about the impacts of urbanisation on bird assemblages is based on evidence from studies partly or wholly undertaken in the breeding season. In comparison, the non-breeding season remains little studied, despite the fact that winter conditions at higher latitudes are changing more rapidly than other seasons. During the non-breeding season, cities may attract or retain bird species because they offer milder conditions or better feeding opportunities than surrounding habitats. However, the range of climatic, ecological and anthropogenic mechanisms shaping different facets of urban bird diversity in the non-breeding season are poorly understood. We explored these mechanisms using structural equation modelling to assess how urbanisation affects the taxonomic, phylogenetic and functional diversity of avian assemblages sampled worldwide in the non-breeding season. We found that minimum temperature, elevation, urban area and city age played a critical role in determining taxonomic diversity while a range of factors-including productivity, precipitation, elevation, distance to coasts and rivers, socio-economic (as a proxy of human facilitation) and road density-each contributed to patterns of phylogenetic and functional diversity. The structure and function of urban bird assemblages appear to be predominantly shaped by temperature, productivity and city age, with effects of these factors differing across seasons. Our results underline the importance of considering multiple hypotheses, including seasonal effects, when evaluating the impacts of urbanisation on biodiversity.

  • Journal article
    Fu Z, Ciais P, Wigneron J-P, Gentine P, Feldman AF, Makowski D, Viovy N, Kemanian AR, Goll DS, Stoy PC, Prentice IC, Yakir D, Liu L, Ma H, Li X, Huang Y, Yu K, Zhu P, Li X, Zhu Z, Lian J, Smith WKet al., 2024,

    Global critical soil moisture thresholds of plant water stress.

    , Nat Commun, Vol: 15

    During extensive periods without rain, known as dry-downs, decreasing soil moisture (SM) induces plant water stress at the point when it limits evapotranspiration, defining a critical SM threshold (θcrit). Better quantification of θcrit is needed for improving future projections of climate and water resources, food production, and ecosystem vulnerability. Here, we combine systematic satellite observations of the diurnal amplitude of land surface temperature (dLST) and SM during dry-downs, corroborated by in-situ data from flux towers, to generate the observation-based global map of θcrit. We find an average global θcrit of 0.19 m3/m3, varying from 0.12 m3/m3 in arid ecosystems to 0.26 m3/m3 in humid ecosystems. θcrit simulated by Earth System Models is overestimated in dry areas and underestimated in wet areas. The global observed pattern of θcrit reflects plant adaptation to soil available water and atmospheric demand. Using explainable machine learning, we show that aridity index, leaf area and soil texture are the most influential drivers. Moreover, we show that the annual fraction of days with water stress, when SM stays below θcrit, has increased in the past four decades. Our results have important implications for understanding the inception of water stress in models and identifying SM tipping points.

  • Journal article
    Delhaye G, van der Linde S, Bauman D, Orme CDL, Suz LM, Bidartondo MIet al., 2024,

    Ectomycorrhizal fungi are influenced by ecoregion boundaries across Europe

    , Global Ecology and Biogeography, Vol: 33, ISSN: 1466-822X

    AimEcoregions and the distance decay in community similarity are fundamental concepts in biogeography and conservation biology that are well supported across plants and animals, but not fungi. Here we test the relevance of these concepts for ectomycorrhizal (ECM) fungi in temperate and boreal regions.LocationEurope.Time Period2008–2015.Major Taxa StudiedEctomycorrhizal fungi.MethodsWe used a large dataset of ~24,000 ectomycorrhizas, assigned to 1350 operational taxonomic units, collected from 129 forest plots via a standardized protocol. We investigated the relevance of ecoregion delimitations for ECM fungi through complementary methodological approaches based on distance decay models, multivariate analyses and indicator species analyses. We then evaluated the effects of host tree and climate on the observed biogeographical distributions.ResultsEcoregions predict large-scale ECM fungal biodiversity patterns. This is partly explained by climate differences between ecoregions but independent from host tree distribution. Basidiomycetes in the orders Russulales and Atheliales and producing epigeous fruiting bodies, with potentially short-distance dispersal, show the best agreement with ecoregion boundaries. Host tree distribution and fungal abundance (as opposed to presence/absence only) are important to uncover biogeographical patterns in mycorrhizas.Main ConclusionsEcoregions are useful units to investigate eco-evolutionary processes in mycorrhizal fungal communities and for conservation decision-making that includes fungi.

  • Journal article
    Christman ME, Spears LR, Burchfield EK, Pearse WD, Strange JP, Ramirez RAet al., 2024,

    Bumble bee responses to climate and landscapes: Investigating habitat associations and species assemblages across geographic regions in the United States of America.

    , Glob Chang Biol, Vol: 30

    Bumble bees are integral pollinators of native and cultivated plant communities, but species are undergoing significant changes in range and abundance on a global scale. Climate change and land cover alteration are key drivers in pollinator declines; however, limited research has evaluated the cumulative effects of these factors on bumble bee assemblages. This study tests bumble bee assemblage (calculated as richness and abundance) responses to climate and land use by modeling species-specific habitat requirements, and assemblage-level responses across geographic regions. We integrated species richness, abundance, and distribution data for 18 bumble bee species with site-specific bioclimatic, landscape composition, and landscape configuration data to evaluate the effects of multiple environmental stressors on bumble bee assemblages throughout 433 agricultural fields in Florida, Indiana, Kansas, Kentucky, Maryland, South Carolina, Utah, Virginia, and West Virginia from 2018 to 2020. Distinct east versus west groupings emerged when evaluating species-specific habitat associations, prompting a detailed evaluation of bumble bee assemblages by geographic region. Maximum temperature of warmest month and precipitation of driest month had a positive impact on bumble bee assemblages in the Corn Belt/Appalachian/northeast, southeast, and northern plains regions, but a negative impact on the mountain region. Further, forest land cover surrounding agricultural fields was highlighted as supporting more rich and abundant bumble bee assemblages. Overall, climate and land use combine to drive bumble bee assemblages, but how those processes operate is idiosyncratic and spatially contingent across regions. From these findings, we suggested regionally specific management practices to best support rich and abundant bumble bee assemblages in agroecosystems. Results from this study contribute to a better understanding of climate and landscape factors affecting bumble bees and their habit

  • Journal article
    Riva F, Haddad N, Fahrig L, Banks-Leite Cet al., 2024,

    Principles for area-based biodiversity conservation

    , ECOLOGY LETTERS, Vol: 27, ISSN: 1461-023X
  • Journal article
    Luiselli J, Overcast I, Rominger A, Ruffley M, Morlon H, Rosindell Jet al., 2024,

    Detecting the ecological footprint of selection

    , PLoS One, Vol: 19, ISSN: 1932-6203

    The structure of communities is influenced by many ecological and evolutionary processes, but the way these manifest in classic biodiversity patterns often remains unclear. Here we aim to distinguish the ecological footprint of selection-through competition or environmental filtering-from that of neutral processes that are invariant to species identity. We build on existing Massive Eco-evolutionary Synthesis Simulations (MESS), which uses information from three biodiversity axes-species abundances, genetic diversity, and trait variation-to distinguish between mechanistic processes. To correctly detect and characterise competition, we add a new and more realistic form of competition that explicitly compares the traits of each pair of individuals. Our results are qualitatively different to those of previous work in which competition is based on the distance of each individual's trait to the community mean. We find that our new form of competition is easier to identify in empirical data compared to the alternatives. This is especially true when trait data are available and used in the inference procedure. Our findings hint that signatures in empirical data previously attributed to neutrality may in fact be the result of pairwise-acting selective forces. We conclude that gathering more different types of data, together with more advanced mechanistic models and inference as done here, could be the key to unravelling the mechanisms of community assembly and question the relative roles of neutral and selective processes.

  • Journal article
    Affinito F, Kordas RL, Matias MG, Pawar Set al., 2024,

    Metabolic plasticity drives mismatches in physiological traits between prey and predator

    , Communications Biology, Vol: 7, ISSN: 2399-3642

    Metabolic rate, the rate of energy use, underpins key ecological traits of organisms, from development and locomotion to interaction rates between individuals. In a warming world, the temperature-dependence of metabolic rate is anticipated to shift predator-prey dynamics. Yet, there is little real-world evidence on the effects of warming on trophic interactions. We measured the respiration rates of aquatic larvae of three insect species from populations experiencing a natural temperature gradient in a large-scale mesocosm experiment. Using a mechanistic model we predicted the effects of warming on these taxa’s predator-prey interaction rates. We found that species-specific differences in metabolic plasticity lead to mismatches in the temperature-dependence of their relative velocities, resulting in altered predator-prey interaction rates. This study underscores the role of metabolic plasticity at the species level in modifying trophic interactions and proposes a mechanistic modelling approach that allows an efficient, high-throughput estimation of climate change threats across species pairs.

  • Journal article
    Rosindell J, Manson K, Gumbs R, Pearse WD, Steel Met al., 2024,

    Phylogenetic Biodiversity Metrics Should Account for Both Accumulation and Attrition of Evolutionary Heritage

    , SYSTEMATIC BIOLOGY, Vol: 73, Pages: 158-182, ISSN: 1063-5157
  • Journal article
    Sandoval Calle D, Prentice IC, Nobrega R, 2024,

    Simple process-led algorithms for simulating habitats (SPLASH v 2.0): robust calculations of water and energy fluxes

    , Geoscientific Model Development, Vol: 17, Pages: 4229-4309, ISSN: 1991-959X

    The current representation of key processes in Land Surface Models (LSM) for estimating water and energy balances still relies heavily on empirical equations that require calibration oriented to site-specific characteristics. When multiple parameters are used, different combinations of parameter values can produce equally acceptable results, leading to a risk of obtaining “right answers for wrong reasons”, compromising the reproducibility of the simulations and limiting the ecological interpretability of the results. To address this problem and reduce the need for free parameters, here we present novel formulations based on first-principles to calculate key components of water and energy balances, extending the already parsimonious SPLASHmodel v.1.0 (Davis et al. 2017, GMD). We found analytical solutions for many processes, enabling us to increase spatial resolution and include the terrain effects directly in the calculations without unreasonably inflating computational demands. This calibration-free model estimates quantities such as net radiation, evapotranspiration, condensation, soil water content,surface runoff, subsurface lateral flow and snow-water equivalent. These quantities are derived from readily meteorological data such as near-surface air temperature, precipitation and solar radiation, and soil physical properties. Whenever empirical formulations were required, e.g. pedotransfer functions and albedo-snow cover relationships, we selected and optimized thebest-performing equations through a combination of remote sensing and globally distributed terrestrial observational datasets. Simulations at global scales at different resolutions were run to evaluate spatial patterns, while simulations with point-based observations were run to evaluate seasonal patterns using data from hundreds of stations and comparisons with the VIC-3L model, demonstrating improved performance based on statistical tests and observational comparisons. In summary, our m

  • Journal article
    Connolly JB, Burt A, Christophides G, Diabate A, Habtewold T, Hancock PA, James AA, Kayondo JK, Lwetoijera DW, Manjurano A, McKemey AR, Santos MR, Windbichler N, Randazzo Fet al., 2024,

    Considerations for first field trials of low-threshold gene drive for malaria vector control

    , Malaria Journal, Vol: 23, ISSN: 1475-2875

    Sustainable reductions in African malaria transmission require innovative tools for mosquito control. One proposal involves the use of low-threshold gene drive in Anopheles vector species, where a 'causal pathway' would be initiated by (i) the release of a gene drive system in target mosquito vector species, leading to (ii) its transmission to subsequent generations, (iii) its increase in frequency and spread in target mosquito populations, (iv) its simultaneous propagation of a linked genetic trait aimed at reducing vectorial capacity for Plasmodium, and (v) reduced vectorial capacity for parasites in target mosquito populations as the gene drive system reaches fixation in target mosquito populations, causing (vi) decreased malaria incidence and prevalence. Here the scope, objectives, trial design elements, and approaches to monitoring for initial field releases of such gene dive systems are considered, informed by the successful implementation of field trials of biological control agents, as well as other vector control tools, including insecticides, Wolbachia, larvicides, and attractive-toxic sugar bait systems. Specific research questions to be addressed in initial gene drive field trials are identified, and adaptive trial design is explored as a potentially constructive and flexible approach to facilitate testing of the causal pathway. A fundamental question for decision-makers for the first field trials will be whether there should be a selective focus on earlier points of the pathway, such as genetic efficacy via measurement of the increase in frequency and spread of the gene drive system in target populations, or on wider interrogation of the entire pathway including entomological and epidemiological efficacy. How and when epidemiological efficacy will eventually be assessed will be an essential consideration before decisions on any field trial protocols are finalized and implemented, regardless of whether initial field trials focus exclusively on the measur

  • Journal article
    Gayford J, Brazeau M, Naylor GJP, 2024,

    Evolutionary trends in the elasmobranch neurocranium

    , Scientific Reports, Vol: 14, ISSN: 2045-2322

    The neurocranium (braincase) is one of the defining vertebrate characters. Housing the brain and other key sensory organs, articulating with the jaws and contributing to the shape of the anteriormost portion of the body, the braincase is undoubtedly of great functional importance. Through studying relationships between braincase shape and ecology we can gain an improved understanding of form-function relationships in extant and fossil taxa. Elasmobranchii (sharks and rays) represent an important case study of vertebrate braincase diversity as their neurocranium is simplified and somewhat decoupled from other components of the cranium relative to other vertebrates. Little is known about the associations between ecology and braincase shape in this clade. In this study we report patterns of mosaic cranial evolution in Elasmobranchii that differ significantly from those present in other clades. The degree of evolutionary modularity also differs between Selachii and Batoidea. In both cases innovation in the jaw suspension appears to have driven shifts in patterns of integration and modularity, subsequently facilitating ecological diversification. Our results confirm the importance of water depth and biogeography as drivers of elasmobranch cranial diversity and indicate that skeletal articulation between the neurocranium and jaws represents a major constraint upon the evolution of braincase shape in vertebrates.

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