ORCID Profile
0000-0001-9053-8872
Current Organisation
University of Nottingham
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Publisher: Springer Science and Business Media LLC
Date: 23-12-2021
DOI: 10.1038/S41559-021-01616-8
Abstract: Plant functional traits can predict community assembly and ecosystem functioning and are thus widely used in global models of vegetation dynamics and land–climate feedbacks. Still, we lack a global understanding of how land and climate affect plant traits. A previous global analysis of six traits observed two main axes of variation: (1) size variation at the organ and plant level and (2) leaf economics balancing leaf persistence against plant growth potential. The orthogonality of these two axes suggests they are differently influenced by environmental drivers. We find that these axes persist in a global dataset of 17 traits across more than 20,000 species. We find a dominant joint effect of climate and soil on trait variation. Additional independent climate effects are also observed across most traits, whereas independent soil effects are almost exclusively observed for economics traits. Variation in size traits correlates well with a latitudinal gradient related to water or energy limitation. In contrast, variation in economics traits is better explained by interactions of climate with soil fertility. These findings have the potential to improve our understanding of bio ersity patterns and our predictions of climate change impacts on biogeochemical cycles.
Publisher: MDPI AG
Date: 11-10-2019
DOI: 10.3390/RS11202356
Abstract: In the face of rapid global change it is imperative to preserve geo ersity for the overall conservation of bio ersity. Geo ersity is important for understanding complex biogeochemical and physical processes and is directly and indirectly linked to bio ersity on all scales of ecosystem organization. Despite the great importance of geo ersity, there is a lack of suitable monitoring methods. Compared to conventional in-situ techniques, remote sensing (RS) techniques provide a pathway towards cost-effective, increasingly more available, comprehensive, and repeatable, as well as standardized monitoring of continuous geo ersity on the local to global scale. This paper gives an overview of the state-of-the-art approaches for monitoring soil characteristics and soil moisture with unmanned aerial vehicles (UAV) and air- and spaceborne remote sensing techniques. Initially, the definitions for geo ersity along with its five essential characteristics are provided, with an explanation for the latter. Then, the approaches of spectral traits (ST) and spectral trait variations (STV) to record geo ersity using RS are defined. LiDAR (light detection and ranging), thermal and microwave sensors, multispectral, and hyperspectral RS technologies to monitor soil characteristics and soil moisture are also presented. Furthermore, the paper discusses current and future satellite-borne sensors and missions as well as existing data products. Due to the prospects and limitations of the characteristics of different RS sensors, only specific geotraits and geo ersity characteristics can be recorded. The paper provides an overview of those geotraits.
Publisher: Wiley
Date: 10-08-2017
DOI: 10.1002/RSE2.59
Publisher: CSIRO Publishing
Date: 2015
DOI: 10.1071/FP14040
Publisher: MDPI AG
Date: 09-05-2022
DOI: 10.3390/RS14092279
Abstract: Remote sensing (RS) enables a cost-effective, extensive, continuous and standardized monitoring of traits and trait variations of geomorphology and its processes, from the local to the continental scale. To implement and better understand RS techniques and the spectral indicators derived from them in the monitoring of geomorphology, this paper presents a new perspective for the definition and recording of five characteristics of geomorpho ersity with RS, namely: geomorphic genesis ersity, geomorphic trait ersity, geomorphic structural ersity, geomorphic taxonomic ersity, and geomorphic functional ersity. In this respect, geomorphic trait ersity is the cornerstone and is essential for recording the other four characteristics using RS technologies. All five characteristics are discussed in detail in this paper and reinforced with numerous ex les from various RS technologies. Methods for classifying the five characteristics of geomorpho ersity using RS, as well as the constraints of monitoring the ersity of geomorphology using RS, are discussed. RS-aided techniques that can be used for monitoring geomorpho ersity in regimes with changing land-use intensity are presented. Further, new approaches of geomorphic traits that enable the monitoring of geomorpho ersity through the valorisation of RS data from multiple missions are discussed as well as the ecosystem integrity approach. Likewise, the approach of monitoring the five characteristics of geomorpho ersity recording with RS is discussed, as are existing approaches for recording spectral geomorhic traits/ trait variation approach and indicators, along with approaches for assessing geomorpho ersity. It is shown that there is no comparable approach with which to define and record the five characteristics of geomorpho ersity using only RS data in the literature. Finally, the importance of the digitization process and the use of data science for research in the field of geomorphology in the 21st century is elucidated and discussed.
Publisher: Copernicus GmbH
Date: 05-05-2011
Publisher: Cold Spring Harbor Laboratory
Date: 17-11-2020
DOI: 10.1101/2020.11.14.382846
Abstract: Both historical and contemporary environmental conditions determine present bio ersity patterns, but their relative importance is not well understood. One way to disentangle their relative effects is to assess how different dimensions of beta- ersity relate to past climatic changes, i.e., taxonomic, phylogenetic and functional compositional dissimilarity, and their components generated by replacement of species, lineages and traits (turnover) and richness changes (nestedness). Here, we quantify global patterns of each of these aspects of beta- ersity among neighboring sites for angiosperm trees using the most extensive global database of tree species-distributions (43,635 species). We found that temperature change since the Last Glacial Maximum (LGM) was the major influence on both turnover and nestedness components of beta- ersity, with a negative correlation to turnover and a positive correlation to nestedness. Moreover, phylogenetic and functional nestedness was higher than expected from taxonomic beta- ersity in regions that experienced large temperature changes since the LGM. This pattern reflects relatively greater losses of phylogenetic and functional ersity in species-poor assemblages, possibly caused by phylogenetically and functionally selective species extinction and recolonization during glacial-interglacial oscillations. Our results send a strong warning that rapid anthropogenic climate change is likely to result in a long-lasting phylogenetic and functional compositional simplification, potentially impairing forest ecosystem functioning.
Publisher: Copernicus GmbH
Date: 24-03-2014
Publisher: Informa UK Limited
Date: 03-2013
Publisher: Wiley
Date: 14-07-2015
DOI: 10.1111/GEB.12335
Publisher: Cold Spring Harbor Laboratory
Date: 03-06-2020
DOI: 10.1101/2020.06.02.128975
Abstract: Trees are of vital importance for ecosystem functioning and services at local to global scales, yet we still lack a detailed overview of the global patterns of tree ersity and the underlying drivers, particularly the imprint of paleoclimate. Here, we present the high-resolution (110 km) worldwide mapping of tree species richness, functional and phylogenetic ersities based on ∼7 million quality-assessed occurrences for 46,752 tree species (80.5% of the estimated total number of tree species), and subsequent assessments of the influence of paleo-climate legacies on these patterns. All three tree ersity dimensions exhibited the expected latitudinal decline. Contemporary climate emerged as the strongest driver of all ersity patterns, with Pleistocene and deeper-time ( 7 years) paleoclimate as important co-determinants, and, notably, with past cold and drought stress being linked to reduced current ersity. These findings demonstrate that tree ersity is affected by paleoclimate millions of years back in time and highlight the potential for tree ersity losses from future climate change.
Publisher: Cold Spring Harbor Laboratory
Date: 23-04-2020
DOI: 10.1101/2020.04.21.052464
Abstract: Although trees are key to ecosystem functioning, many forests and tree species across the globe face strong threats. Preserving areas of high bio ersity is a core priority for conservation however, different dimensions of bio ersity and varied conservation targets make it difficult to respond effectively to this challenge. Here, we ( i ) identify priority areas for global tree conservation using comprehensive coverage of tree ersity based on taxonomy, phylogeny, and functional traits and ( ii ) compare these findings to existing protected areas and global bio ersity conservation frameworks. We find that ca . 51% of the top-priority areas for tree bio ersity are located in current protected areas. The remaining half top-priority areas are subject to moderate to high human pressures, indicating conservation actions are needed to mitigate these human impacts. Our findings emphasize the effectiveness of using tree conservation priority areas for future global conservation planning.
Publisher: Copernicus GmbH
Date: 29-05-2015
Publisher: Informa UK Limited
Date: 17-09-2013
Publisher: Copernicus GmbH
Date: 26-08-2015
Abstract: Abstract. Variations in the carbon isotopic composition of soil organic matter (SOM) in bulk and fractionated s les were used to assess the influence of C3 and C4 vegetation on SOM dynamics in semi-natural tropical ecosystems s led along a precipitation gradient in West Africa. Differential patterns in SOM dynamics in C3/C4 mixed ecosystems occurred at various spatial scales. Relative changes in C / N ratios between two contrasting SOM fractions were used to evaluate potential site-scale differences in SOM dynamics between C3- and C4-dominated locations. These differences were strongly controlled by soil texture across the precipitation gradient, with a function driven by bulk δ13C and sand content explaining 0.63 of the observed variability. The variation of δ13C with soil depth indicated a greater accumulation of C3-derived carbon with increasing precipitation, with this trend also being strongly dependant on soil characteristics. The influence of vegetation thickening on SOM dynamics was also assessed in two adjacent, but structurally contrasting, transitional ecosystems occurring on comparable soils to minimise the confounding effects posed by climatic and edaphic factors. Radiocarbon analyses of sand-size aggregates yielded relatively short mean residence times (τ) even in deep soil layers, while the most stable SOM fraction associated with silt and clay exhibited shorter τ in the savanna woodland than in the neighbouring forest stand. These results, together with the vertical variation observed in δ13C values, strongly suggest that both ecosystems are undergoing a rapid transition towards denser closed canopy formations. However, vegetation thickening varied in intensity at each site and exerted contrasting effects on SOM dynamics. This study shows that the interdependence between biotic and abiotic factors ultimately determine whether SOM dynamics of C3- and C4-derived vegetation are at variance in ecosystems where both vegetation types coexist. The results highlight the far-reaching implications that vegetation thickening may have for the stability of deep SOM.
Publisher: Wiley
Date: 02-03-2012
Publisher: American Association for the Advancement of Science (AAAS)
Date: 08-09-2023
Publisher: Wiley
Date: 14-06-2022
DOI: 10.1111/GEB.13555
Abstract: Historically, wildfire regimes produced important landscape‐scale disturbances in many regions globally. The “pyro ersity begets bio ersity” hypothesis suggests that wildfires that generate temporally and spatially heterogeneous mosaics of wildfire severity and post‐burn recovery enhance bio ersity at landscape scales. However, river management has often led to channel incision that disconnects rivers from their floodplains, desiccating floodplain habitats and depleting groundwater. In conjunction with predicted increases in frequency, intensity and extent of wildfires under climate change, this increases the likelihood of deep, uniform burns that reduce bio ersity. Recent focus on floodplain re‐wetting and restoration of successional floodplain habitat mosaics, developed for river management and flood prevention, could reduce wildfire intensity in restored floodplains and make the burns less uniform, increasing climate‐change resilience an important synergy. According to theory, this would also enhance bio ersity. However, this possibility is yet to be tested empirically. We suggest potential research avenues. We illustrate the interaction between wildfire and river restoration using a restoration project in Oregon, USA. A project to reconnect the South Fork McKenzie River and its floodplain suffered a major burn (“Holiday Farm” wildfire, 2020), offering a rare opportunity to study the interaction between this type of river restoration and wildfire specifically, the predicted increases in pyro ersity and bio ersity. Given the importance of river and wetland ecosystems for bio ersity globally, a research priority should be to increase our understanding of potential mechanisms for a “triple win” of flood reduction, wildfire alleviation and bio ersity promotion.
Publisher: MDPI AG
Date: 10-11-2020
DOI: 10.3390/RS12223690
Abstract: The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for bio ersity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geo ersity, but also to preserve bio ersity, as well as to improve bio ersity conservation and ecosystem management. Numerous remote sensing (RS) approaches and platforms have been used in the past to enable a cost-effective, increasingly freely available, comprehensive, repetitive, standardized, and objective monitoring of geomorphological characteristics and their traits. This contribution provides a state-of-the-art review for the RS-based monitoring of these characteristics and traits, by presenting ex les of aeolian, fluvial, and coastal landforms. Different ex les for monitoring geomorphology as a crucial discipline of geo ersity using RS are provided, discussing the implementation of RS technologies such as LiDAR, RADAR, as well as multi-spectral and hyperspectral sensor technologies. Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced. The use of spectral traits (ST) and spectral trait variation (STV) approaches with RS enable the status, changes, and disturbances of geomorphic ersity to be monitored. We focus on the requirements for future geomorphology monitoring specifically aimed at overcoming some key limitations of ecological modeling, namely: the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems. This paper aims to impart multidimensional geomorphic information obtained by RS for improved utilization in bio ersity monitoring.
Publisher: Wiley
Date: 31-12-2019
DOI: 10.1111/GCB.14904
Abstract: Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to bio ersity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on in idual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
Publisher: Copernicus GmbH
Date: 21-05-2015
Publisher: Wiley
Date: 10-07-2012
Publisher: Copernicus GmbH
Date: 24-03-2014
Publisher: Wiley
Date: 13-05-2010
Publisher: Wiley
Date: 15-07-2019
DOI: 10.1111/NPH.15998
Abstract: Biomass and area ratios between leaves, stems and roots regulate many physiological and ecological processes. The Huber value H
Publisher: Cold Spring Harbor Laboratory
Date: 03-02-2023
DOI: 10.1101/2023.02.03.526822
Abstract: Biotic responses to global change include directional shifts in organismal traits. Body size, an integrative trait that determines demographic rates and ecosystem functions, is often thought to be shrinking in the Anthropocene. Here, we assess the prevalence of body size change in six taxon groups across 5,032 assemblage time-series spanning 1960-2020. Using the Price equation to partition this change into within-species body size versus compositional changes, we detect prevailing decreases in body size through time. Change in assemblage composition contributes more to body size changes than within-species trends, but both components show substantial variation in magnitude and direction. The biomass of assemblages remains remarkably stable as decreases in body size trade-off with increases in abundance. Variable within-species and compositional trends combine into shrinking body size, abundance increases and stable biomass.
Publisher: American Association for the Advancement of Science (AAAS)
Date: 05-04-2023
Abstract: As Earth’s climate has varied strongly through geological time, studying the impacts of past climate change on bio ersity helps to understand the risks from future climate change. However, it remains unclear how paleoclimate shapes spatial variation in bio ersity. Here, we assessed the influence of Quaternary climate change on spatial dissimilarity in taxonomic, phylogenetic, and functional composition among neighboring 200-kilometer cells (beta- ersity) for angiosperm trees worldwide. We found that larger glacial-interglacial temperature change was strongly associated with lower spatial turnover (species replacements) and higher nestedness (richness changes) components of beta- ersity across all three bio ersity facets. Moreover, phylogenetic and functional turnover was lower and nestedness higher than random expectations based on taxonomic beta- ersity in regions that experienced large temperature change, reflecting phylogenetically and functionally selective processes in species replacement, extinction, and colonization during glacial-interglacial oscillations. Our results suggest that future human-driven climate change could cause local homogenization and reduction in taxonomic, phylogenetic, and functional ersity of angiosperm trees worldwide.
Publisher: Wiley
Date: 03-2019
DOI: 10.1111/JVS.12710
Publisher: Proceedings of the National Academy of Sciences
Date: 16-06-2022
Abstract: Safeguarding Earth’s tree ersity is a conservation priority due to the importance of trees for bio ersity and ecosystem functions and services such as carbon sequestration. Here, we improve the foundation for effective conservation of global tree ersity by analyzing a recently developed database of tree species covering 46,752 species. We quantify range protection and anthropogenic pressures for each species and develop conservation priorities across taxonomic, phylogenetic, and functional ersity dimensions. We also assess the effectiveness of several influential proposed conservation prioritization frameworks to protect the top 17% and top 50% of tree priority areas. We find that an average of 50.2% of a tree species’ range occurs in 110-km grid cells without any protected areas (PAs), with 6,377 small-range tree species fully unprotected, and that 83% of tree species experience nonnegligible human pressure across their range on average. Protecting high-priority areas for the top 17% and 50% priority thresholds would increase the average protected proportion of each tree species’ range to 65.5% and 82.6%, respectively, leaving many fewer species (2,151 and 2,010) completely unprotected. The priority areas identified for trees match well to the Global 200 Ecoregions framework, revealing that priority areas for trees would in large part also optimize protection for terrestrial bio ersity overall. Based on range estimates for ,000 tree species, our findings show that a large proportion of tree species receive limited protection by current PAs and are under substantial human pressure. Improved protection of bio ersity overall would also strongly benefit global tree ersity.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Franziska Schrodt.