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Introduction
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October 2008 - present
Publications
Publications (50)
Satellite‐derived global digital elevation models (DEMs) are essential for providing the topographic information needed in a wide range of hydrological applications. However, their use is limited by spatial resolution and vertical bias due to sensor limitations in observing bare terrain. Significant efforts have been made to improve the resolution...
Global mapping of forest height is an extremely important task for estimating habitat quality and modeling biodiversity. Recently, three global canopy height maps have been released, the global forest canopy height map (GFCH), the high‐resolution canopy height model of the Earth (HRCH), and the global map of tree canopy height (GMTCH). Here, we ass...
Species distribution models (SDMs) have proven valuable in filling gaps in our knowledge of species occurrences. However, despite their broad applicability, SDMs exhibit critical shortcomings due to limitations in species occurrence data. These limitations include, in particular, issues related to sample size, positional uncertainty, and sampling b...
Recognizing the prevailing negative public opinion on mining, it is important to understand how firsthand encounters with mining activities might influence these perceptions. This study investigates how field trips to open pit coal mines and their reclamation sites in the Czech Republic affected the attitudes of 148 university students toward minin...
A long history of human colonisation has profoundly altered Mediterranean coastal dunes, as well as their capacity of providing ecosystem services important for human well-being. The provisioning of these services depends on the integrity of the dune system, which is formed and maintained by coastal plant communities. Analysing the drivers of plant...
Assessment of the rate of species loss, which we also label extinction, is an urgent task. However, the rate depends on spatial grain (average area A) over which it is assessed; local species loss can be on average faster, or slower, than regional or global loss. Ecological mechanisms behind this discrepancy are unclear.
We propose that the relatio...
To identify areas of high biodiversity and prioritize conservation efforts, it is crucial to understand the drivers of species richness patterns and their scale dependence. While classified land cover products are commonly used to explain bird species richness, recent studies suggest that unclassified remote-sensed images can provide equally good o...
Species distribution models (SDMs) have proven valuable in filling gaps in our knowledge of species occurrences. However, despite their broad applicability, SDMs exhibit critical shortcomings due to limitations in species occurrence data. These limitations include, in particular, issues related to sample size, positional error, and sampling bias. I...
The monitoring of Natura 2000 habitats (Habitat Directive 92/43/EEC) is a key activity ensuring the sufficient protection of European biodiversity. Reporting on the status of Natura 2000 habitats is required every 6 years. Although field mapping is still an indispensable source of data on the status of Natura 2000 habitats, and very good field-base...
Aim
Assessing how different sampling strategies affect the accuracy and precision of species response curves estimated by parametric species distribution models.
Major Taxa Studied
Virtual plant species.
Location
Abruzzo (Italy).
Time Period
Timeless (simulated data).
Methods
We simulated the occurrence of two virtual species with different eco...
Species distribution models (SDMs) have become a common tool in studies of species–environment relationships but can be negatively affected by positional uncertainty of underlying species occurrence data. Previous work has documented the effect of positional uncertainty on model predictive performance, but its consequences for inference about speci...
Steadily increasing human population is changing the environment in many ways. One of the most disturbing impacts is the development of anthropogenic noise pollution connected to ever-growing traffic intensity. The road network can have both positive and negative effects on biodiversity and populations. Many bird species use acoustic communication...
Incorporating archaeology within the ecosystem services (ES) framework can offer decision‐makers lessons from the past and a broader sustainability perspective. Given the claimed archaeology‐ES link, the island of Sardinia (Italy) offers an unparalleled opportunity where a unique archaeological heritage occurs in an area of high biodiversity value....
Aim: Assessing how different sampling strategies affect the accuracy and precision of species response curves estimated by parametric Species Distribution Models.
Major taxa studied: Virtual plant species.
Location: Abruzzo (Italy).
Time period: Timeless (simulated data).
Methods: We simulated the occurrence of two virtual species with different ec...
There is a lack of guidance on the choice of the spatial grain of predictor and response variables in species distribution models (SDM). This review summarizes the current state of the art with regard to the following points: (i) the effects of changing the resolution of predictor and response variables on model performance;
(ii) the effect of cond...
Aim: In species distribution models (SDMs), the quality and quantity of data describing the species distribution determine the quality of the estimate of the species-environment relationship. However, SDMs usually rely on opportunistic datasets sampled from existing projects/repositories with different purposes than modelling the distribution of th...
As freshwater environments become increasingly threatened, the need for efficient and effective protection grows more urgent. Yet quantitative evidence of management effectiveness within freshwater protected areas is limited, inhibiting our ability to infer the practicality and efficacy of practices. Herein, we employ linear mixed-effects models an...
Ecosystem structure, especially vertical vegetation structure, is one of the six essential biodiversity variable classes and is an important aspect of habitat heterogeneity, affecting species distributions and diversity by providing shelter, foraging, and nesting sites. Point clouds from airborne laser scanning (ALS) can be used to derive such deta...
Although natural disturbances are likely to occur more frequently and be more severe in future as a result of climate change, we have little evidence concerning the effect of disturbance size and severity on species diversity. We aimed to compare effects of varying size and severity of natural disturbances on bird species composition in the non-int...
Singing activity under traffic noise: a case study of yellowhammer around highways
The performance of species distribution models (SDMs) is known to be affected by analysis grain and positional error of species occurrences. Coarsening of the analysis grain has been suggested to compensate for positional errors. Nevertheless, this way of dealing with positional errors has never been thoroughly tested. With increasing use of fine‐s...
Link (50 days' free access): https://authors.elsevier.com/a/1fFzp7qzSxbjR
The ICESat-2 ATL08 land and vegetation product includes several flags that can be used for the assessment of LiDAR-environment interactions and can help select data of the highest quality. However, the usability of these flags has not been sufficiently studied to date. Here,...
The representation of a land cover type (i.e. habitat) within an area is often used as an explanatory variable in species distribution models. However, it is possible that a simple binary presence/absence of the suitable habitat might be the most important determinant of the presence/absence of some species and, thus, be a better predictor of speci...
Several global digital elevation models (DEMs) have been developed in the last two decades.
The most recent addition to the family of global DEMs is the TanDEM-X DEM. The original
version of the TanDEM-X DEM is, however, a nonedited product (i.e., it contains local artefacts such
as voids, spikes, and holes). Therefore, subsequent identification of...
Large trees (also termed veteran trees or habitat trees) are keystone structures for biodiversity worldwide. Retention forestry aims to keep large trees in production stands to support biodiversity. Nevertheless, there is insufficient information about the effect of large trees on biodiversity and how many large trees should be left in different ty...
The availability of global digital elevation models (DEMs) from multiple time points allows their combination for analysing vegetation changes. The combination of models (e.g., SRTM and TanDEM-X) can contain errors, which can, due to their synergistic effects, yield incorrect results. We used a high-resolution LiDAR-derived digital surface model (D...
Management of restored areas requires ecologically meaningful spatial data providing objective measures of restoration success. Understanding relationships between species diversity on the one hand and habitat heterogeneity and productivity on the other can help establish such measures and prioritize restoration management. We used airborne LiDAR a...
Assessing temporal changes in plant communities is a core aim of temporal ecology and a shared priority of global conservation agendas which is particularly urgent in threatened ecosystems. Mediterranean coastal dunes harbour some of the most threatened habitats in Europe. Yet, surprisingly, studies capturing the recent temporal dynamics of biodive...
Inland water bodies are globally threatened by environmental degradation and climate change. On the other hand, new water bodies can be designed during landscape restoration (e.g. after coal mining). Effective management of new water resources requires continuous monitoring; in situ surveys are, however, extremely time-demanding. Remote sensing has...
Though protected areas are recognized as the cornerstone of global conservation efforts, their effectiveness in safeguarding biodiversity is currently debated. In particular, studies evaluating the counterfactual influence of protection status on community metrics derived from field-collected data are still scarce.
In this paper, using data from a...
Most ground filtering algorithms are primarily designed for airborne LiDAR
point cloud processing and their successful use in identifying ground
points from photogrammetric point clouds remains questionable. We
compared six ground filtering algorithms implemented in Metashape,
ArcGIS, CloudCompare, LAStools, and PDAL. We used UAV
photogrammetry-bas...
Species occurrences inherently include positional error. Such error can be problematic for species distribution models (SDMs), especially those based on fine‐resolution environmental data. It has been suggested that there could be a link between the influence of positional error and the width of the species ecological niche. Although positional err...
Land use is a predominant threat to the ecological integrity of streams and rivers. Understanding land use-water quality interactions is essential for the development and prioritization of management strategies and, thus, the improvement of water quality. Weighting schemes for land use have recently been employed as methods to advance the predictiv...
Ground filtering is an inevitable step of processing the Light detection and ranging-acquired point clouds.
Our objective was to evaluate the performance of six filtering algorithms. The point clouds filtering and
vertical accuracy were evaluated qualitatively, quantitatively and by comparison with a GNSS survey. All
tested algorithms achieved good...
Species distribution models (SDMs) are widely used in ecology and conservation. However, their performance is known to be affected by a variety of factors related to species occurrence characteristics. In this study, we used a virtual species approach to overcome the difficulties associated with testing of combined effects of those factors on perfo...
In light of the global biodiversity loss, syntheses of the available knowledge about drivers of biodiversity are becoming increasingly important. However, despite the high number of studies analyzing patterns of plant species diversity, few attempts have been made to synthesize findings within different ecosystems. In this work, the relative role o...
Mining is an important human activity that significantly affects the landscape character, particularly through excavation of spoil material and its deposition on spoil banks. The information on terrain or vegetation cover of spoil banks is often required for two different reasons: (i) to monitor and prevent adverse effect of hazards associated with...
A common feature of most theories of invasion ecology is that the extent and intensity of invasions is driven by a combination of drivers, which can be grouped into three main factors: propagule pressure (P), abiotic drivers (A) and biotic interactions (B). However, teasing apart the relative contribution of P, A and B on Invasive Alien Species (IA...
Preventing biological invasions in areas of conservation concern represents the most cost-effective strategy to minimize the impact of Invasive Alien Species (IAS) on native communities. In this context, invasive Species Distribution Models (iSDMs) are a sound tool for predicting invasion risk in protected areas. Although their potential to support...
Aim
Habitat fragmentation and loss are two of the most important factors driving current biodiversity decline. Nonetheless, the relationship between biodiversity and landscape patterns appears more complex than generally expected, depending on the species and communities involved. We aim to enrich knowledge concerning the relationship between plant...
Several aspects of wind farms’ environmental impacts have been thoroughly studied. Their effect on surface temperature, however, has not been sufficiently explored. We analysed variations in land surface temperature observed over 5 months on a large wind farm (42 000 kW maximum output). To describe the near-surface microclimate variability, we meas...
Wildlife-vehicle collisions (WVCs) have become an issue of growing concern across many countries world-wide. Such collisions can have serious implications for populations of free-ranging animals as well as for human safety and frequently cause considerable material damage. We have examined the national wildlife-vehicle collisions throughout the Cze...
The sika deer (Cervus nippon) is native to Japan and East Asia and has been introduced almost worldwide. Despite the wide distribution of the species, only few studies on its home range in non-native areas have been conducted. We focused on home range size and its seasonal and spatial dynamics in an introduced sika deer population in the Doupovské...
Systematic spatial risk analysis plays a crucial role in preventing emergencies.In the Czech Republic, risk mapping is currently based on the risk accumulationprinciple, area vulnerability, and preparedness levels of Integrated Rescue Systemcomponents. Expert estimates are used to determine risk levels for individualhazard types, while statistical...
Accurately measuring the rate of spread for expanding populations is important for reliably predicting their future spread, as well as for evaluating the effect of different conditions and management activities on that rate of spread.
Although a number of methods have been developed for such measurement, all these are designed only for one‐ or two‐...
Raster digital elevation models (DEMs) represent a source of data with rapidly increasing quality and availability, and are usable in many fields of research and planning, especially in hydrological modelling and river basin management. Their increasing use should go hand in hand with the availability of adequate techniques for their processing. Un...
