ORCID Profile
0000-0002-4723-3640
Current Organisation
University of Bayreuth
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Publisher: Springer Science and Business Media LLC
Date: 14-12-2019
Publisher: Wiley
Date: 24-06-2020
DOI: 10.1111/GCB.15123
Abstract: Current analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long‐term average thermal conditions at coarse spatial resolutions only. Hence, many climate‐forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold‐air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free‐air temperatures, microclimatic ground and near‐surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near‐surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.
Publisher: Elsevier BV
Date: 08-2021
Publisher: Informa UK Limited
Date: 03-07-2016
Publisher: The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS
Date: 07-03-2019
DOI: 10.3906/BOT-1805-68
Publisher: Wiley
Date: 03-01-2022
DOI: 10.1002/ECY.3923
Abstract: Plant recruitment interactions (i.e., who recruits under whom) shape the composition, ersity and structure of plant communities. Despite the huge body of knowledge on the mechanisms underlying recruitment interactions between species, we still know little about the structure of the recruitment networks emerging in ecological communities. Modeling and analyzing the community-level structure of plant recruitment interactions as a complex network can provide relevant information on ecological and evolutionary processes acting both at the species and ecosystem levels. We report a data set containing 143 plant recruitment networks in 23 countries across five continents, including temperate and tropical ecosystems. Each network identifies the species under which another species recruits. All networks report the number of recruits (i.e., in iduals) per species. The data set includes >850,000 recruiting in iduals involved in 118,411 paired interactions between 3,318 vascular plant species across the globe. The cover of canopy species and open ground is also provided. Three s ling protocols were used: 1) The Recruitment Network (RN) protocol (106 networks) focuses on interactions between established plants ("canopy species") and plants in their early stages of recruitment ("recruit species"). A series of plots are delimited within a locality and all the in iduals recruiting and their canopy species are identified 2) The paired Canopy-Open (pCO) protocol (26 networks) consists in locating a potential canopy plant and identifying recruiting in iduals under the canopy and in a nearby open space of the same area 3) The Georeferenced plot (GP) protocol (11 networks) consists in using information from georeferenced in idual plants in large plots to infer canopy-recruit interactions. Some networks incorporate data for both herbs and woody species, while others focus exclusively on woody species. The location of each study site, geographical coordinates, country, locality, responsible author, s ling dates, s ling method and life habit of both canopy and recruit species are provided. This database will allow researchers to test ecological, biogeographical and evolutionary hypotheses related to plant recruitment interactions. There are no copyright restrictions on the data set please cite this data paper when using these data in publications.
Publisher: The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS
Date: 24-07-2018
DOI: 10.3906/BOT-1711-21
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: Wiley
Date: 07-06-2017
DOI: 10.1111/AEC.12399
Publisher: Elsevier BV
Date: 11-2016
Publisher: Wiley
Date: 24-03-2018
DOI: 10.1111/AEC.12599
Publisher: Wiley
Date: 05-2021
DOI: 10.1111/JVS.13043
Abstract: Competition and facilitation form a continuum of interactions between plants from intensely negative to intensely positive. Competition has long been understood to be a major selective force driving the expression of adaptive strategies in plants. However, we remain uncertain if facilitation plays a similar role. In previous studies, the relative allocation to reproduction across plant species increases with increasing competition intensity, and this observation is generally consistent with life history theory (rather than traditional plant strategy theory). However, is facilitation also an important force in shaping adaptive strategies in plants? We surveyed the literature for plant facilitation studies that included measures of plant performance (e.g. vegetative biomass, height) and reproduction (e.g. reproductive biomass, seed number). We tested for a relationship between relative reproductive efficiency (the allocation to reproduction in the presence of neighbours relative to the allocation of reproduction in the absence of neighbours), and facilitation interaction intensity (i.e. the increase in plant performance due to the presence of neighbours). We also compared this relationship to the previously published relationship between reproductive efficiency and competition intensity to test for a continuum of strategies on an axis of plant–plant interactions from intensely positive (facilitation) to intensely negative (competition). The overall relationship between facilitation intensity and the relative reproductive efficiency is a common negative relationship for both annual and perennial life histories. We found a highly significant negative relationship across the competition–facilitation continuum, with reproductive efficiency in the presence of neighbouring vegetation high under intense competition and low under intense facilitation. Plant reproductive strategies are expressed on a continuum of interactions from facilitation to competition. This continuum of interactions will be important in understanding how interactions between plants drive the evolution of adaptive strategies and control coexistence and ersity in plant communities.
Publisher: Wiley
Date: 21-10-2023
Publisher: Elsevier BV
Date: 11-2019
Publisher: Springer Science and Business Media LLC
Date: 02-2021
Publisher: Wiley
Date: 21-06-2016
DOI: 10.1002/ECE3.2254
Publisher: Wiley
Date: 11-02-2022
DOI: 10.1111/GCB.16060
Abstract: Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km
Publisher: Polish Academy of Sciences
Date: 2018
DOI: 10.24425/118754
Publisher: Springer Science and Business Media LLC
Date: 02-03-2020
DOI: 10.1038/S41598-020-60454-Z
Abstract: Mangroves are salt-tolerant woody species occurring in tropical/subtropical coastal habitats. Plantation of fast-growing non-native mangrove species has been used as a tool for mangrove restoration/reforestation in several countries. However, the fast-growth ability can make recently introduced species invasive as they can possibly replace co-occurring native mangroves through expressing higher growth performance and phenotypic plasticity. Therefore, quantifying growth differences between native versus non-native mangrove species is important for forest ecology and management. In this meta-analysis, we compared the growth performance of non-native and native mangrove species pairs by analysing all available results in the literature (33 studies). We found that non-native mangrove species performed better than co-occurring native mangrove species in their introduced regions (Log response ratio = 0.51 ± 0.05) and they also expressed higher trait plasticity. Therefore, these species can be potentially invasive owing to their greater competitive advantage. However, the growth difference was diminished at higher latitudes where native mangrove species seem to perform as well as non-native mangrove species do. This is the first meta-analysis on the growth response of mangroves and it has consequential management implications. We suggest that planting of non-native mangrove species should be avoided and their spread should be monitored.
No related grants have been discovered for Fatih Fazlioglu.