1. Introduction
Rapid biodiversity loss characterises the current era, driven by multiple, interacting anthropogenic pressures [
1,
2]. Bird populations in agricultural landscapes have undergone especially significant declines. In Europe, the Farmland Bird Index declined by 58% between 1980 and 2024, while the overall bird index decreased by 19% during the same period [
3]. These trends are commonly attributed to agricultural intensification, which simplifies farmland habitats, reduces heterogeneity and food availability, and increases chemical inputs, thereby degrading ecological conditions essential for farmland bird communities [
4,
5,
6,
7]. Simultaneously, climate change interacts with land-use change in agricultural landscapes, further altering environmental conditions and seasonal resources critical to bird populations [
8].
The White Stork (
Ciconia ciconia) is a focal species of relevance due to its strong association with open agricultural landscapes, particularly farmland and wetland mosaics near human settlements [
9,
10,
11]. This species is widely regarded as an indicator of farmland bird diversity and environmental conditions, as well as a charismatic flagship species [
10,
12,
13]. At the European scale, the White Stork is widely distributed, currently classified as Least Concern, and shows an overall upward population trend, although substantial variation occurs at local and regional levels [
14]. Additionally, the species is listed in Annex I of the EU Birds Directive, which requires special conservation measures for its habitat [
15]. As a long-distance migrant [
16], the White Stork faces a range of pressures across breeding grounds, migration routes, and wintering areas [
14]. Therefore, a comprehensive understanding of its conservation status requires a full annual-cycle perspective.
On the breeding grounds, White Stork population dynamics are reflected not only by the number of breeding pairs but also by nest and brood parameters that describe breeding outcomes [
9,
11,
17]. Nest occupancy indicates the ongoing suitability and use of breeding sites over time and depends on habitat quality, nesting structure, and the surrounding landscape context [
11]. Nest characteristics, such as size, location, and reuse, can influence breeding performance. Nest-site fidelity and reuse are associated with reduced breeding failure, whereas nest changes incur a reproductive cost [
18]. Larger nests are linked to earlier arrival and higher reproductive success [
19]. Successive stages of reproductive output, eggs, hatchlings, and fledged young, should be considered separately, as different factors may influence each stage of the breeding cycle. Clutch size is associated with food availability and arrival date [
20,
21], whereas hatchling and fledgling survival are more strongly influenced by weather conditions during incubation and chick development [
17,
21,
22]. Breeding outcomes also depend on the broader nesting context, including access to wetlands and river valleys, habitat quality around the nest, the structure supporting the nest, and, increasingly, proximity to buildings and landfills [
9,
11]. Collectively, nest occupancy, clutch size, hatchlings, fledged young, brood loss, and nest substrate provide a biologically meaningful framework for analysing variation in White Stork population dynamics.
Systematic monitoring of the White Stork in Slovenia has been ongoing for several decades. Between 1999 and 2010, the breeding population was primarily concentrated in northeastern and southeastern Slovenia, although the breeding range expanded into new areas, including the Karst landscape [
17]. The Karst region, part of the Dinaric karst, includes agricultural land, settlements, and intermittent wetland systems, such as karst depressions with pronounced seasonal hydrological variation [
23,
24]. In the broader Cerknica system, water level and vegetation have been identified as strong drivers of bird diversity and abundance, indicating that local hydrology is likely important for interpreting nesting dynamics in the region [
25]. Previous research in Slovenia has mainly addressed broader population dynamics or wetland bird communities, while long-term nest-level data from the Karst region have not yet been comprehensively synthesised.
This study provides a descriptive analysis of White Stork nesting records in Slovenia’s Karst landscape from 2005 to 2025. It examines nest status and occupancy, recorded eggs and young, nest persistence or disappearance, nest substrate, and site-level environmental descriptors across the municipalities of Postojna, Cerknica, Bloke, Pivka, and Logatec. By retaining the nesting site as the primary unit of description, the study identifies local patterns that may be obscured in broader regional summaries.
The paper is structured as follows.
Section 2 presents the theoretical background directly relevant to White Stork nest occupancy, reproductive records, local habitat conditions, and weather context.
Section 3 describes the study area, data, and descriptive analytical approach.
Section 4 reports the observed nesting and environmental patterns;
Section 5 discusses their ecological and conservation implications; and
Section 6 presents the conclusions and limitations.
3. Materials and Methods
3.1. Study Area and Period
The study examines Slovenia’s Karst region, characterised by a human-modified karst landscape. It includes agricultural areas, settlements, and wetlands in close proximity. The analysis covers 2005–2025 and five municipalities: Postojna, Cerknica, Bloke, Pivka, and Logatec (
Figure 1).
Observed nesting locations within these municipalities comprised Rakitnik, Planina, Dilce, Hrašče, and Studenec in Postojna; Martinjak, Gorenje jezero, Dolenje Jezero, Iga vas, and Viševek 1 and 2 in Cerknica; Nova vas in Bloke; Pivka and Trnje in Pivka; as well as Logatec, Tičnica, and Stara cesta in Logatec.
The nesting location served as the primary spatial unit of analysis, as the available data consist of repeated observations of nests and nesting activity at specific sites over time. This approach enabled comparisons among long-established, intermittently occupied, abandoned, and newly recorded nesting locations within each municipality. The same framework was applied to summarise nesting dynamics across the Karst region.
3.2. White Stork Nesting Data
White Stork nesting dynamics were documented through a monitoring application designed for nest census and reporting. Observers recorded nest presence and status, visiting or breeding pairs, egg presence and, when available, hatchlings or fledged young. A reproductive record was used only when it was explicitly reported; unfilled fields were retained as missing. Information on the nest support or substrate was included when recorded.
In addition to nest monitoring, the environmental characteristics surrounding each nesting site were described using a 2000 m buffer. For every nesting location, the dominant land cover, dominant agricultural land use, presence of wetlands or other water bodies, presence of settlements or landfills, and nest substrate were recorded. These variables were included to provide an ecological context for interpreting long-term nesting dynamics. The environmental characteristics of all monitored nesting sites are presented in
Table 1.
The available time series varied in duration across locations. Some nests were documented throughout most or all of the 2005–2025 period, while others were first reported later, recorded for shorter intervals, or disappeared during the observation period. This uneven data availability was considered in interpreting the results, especially when comparing locations with long-term records to those with only recent observations.
For analysis, each annual record was retained in the status category reported in the monitoring data: empty nest (HO), visitors (HB, HB1, or HB2), occupied nest with a breeding pair (HPa), nest no longer present or recorded, or missing (n/a). Egg and young records were analysed separately from occupancy. Individually marked birds were not tracked; therefore, a nest documented at another site within the same municipality was treated as a newly or alternatively recorded site, not as confirmed movement by the same pair.
3.3. Weather Data
Weather data were sourced from publicly available records provided by the Slovenian Environment Agency. Postojna was selected as the reference location due to its central position within the study region and the availability of continuous, long-term meteorological records for the observation period.
The weather description included annual mean daily temperature [°C], annual maximum and minimum daily temperatures [°C], annual precipitation [mm], and the number of days with snow. Mean daily temperature during the approximate incubation period (late March to April), together with mean daily temperature and precipitation during the approximate hatching period (late April to early May), was also summarised. These variables provide environmental context only; no causal relationship with nesting outcomes was inferred.
3.4. Data Processing
Data were organised into a longitudinal database consisting of repeated observations of White Stork nesting locations across municipalities and years. The primary unit of observation was the nesting location, with records collected annually between 2005 and 2025. For each location, the variables include the continuity of nest presence, the occurrence of visiting or breeding pairs, the presence of eggs, and, where available, reproductive outcomes. This structure facilitated comparison of patterns between locations and municipalities. Following the location-level review, findings were summarised for the Karst region to compare stable, irregular, and newly recorded nesting patterns across municipalities.
For descriptive summaries, n/a was treated as missing and excluded from counts. HO, HB, HB1, HB2, HPa, and “nest is gone” were retained as distinct observed categories. The absence of an egg or young entry was not interpreted as confirmed biological absence unless it had been explicitly recorded as such.
In addition, weather data obtained from the Slovenian Environment Agency were aggregated into annual values for mean, minimum, and maximum temperature, precipitation, and the number of snowy days. These variables were used to describe long-term weather patterns and provide contextual information for interpreting nesting records.
3.5. Descriptive Data Analysis
The study used descriptive techniques to examine temporal and spatial patterns in White Stork nesting records across the Slovenian Karst landscape.
Site-year records of nest status, egg presence, recorded young, and nest disappearance were summarised in tables and narrative descriptions. Weather records were summarised annually and displayed graphically. Comparisons among locations and municipalities were interpreted as exploratory because monitoring periods and data completeness differed substantially.
No inferential statistical tests were applied. Correlations, regression models, and between-municipality significance tests were omitted because the samples were small and uneven, reproductive data were incomplete, and repeated observations from the same nesting sites were not independent. Data organisation and descriptive summaries were prepared in Microsoft Excel.
6. Conclusions
The nesting records show that White Stork activity in the Karst landscape was highly localised and uneven. Persistent occupancy was documented at sites such as Planina, Martinjak, and Nova vas, whereas Rakitnik, Dilce, Iga vas, and the first Viševek site showed interruption, non-occupancy, or loss of the recorded nest.
Persistent occupancy did not consistently coincide with complete records of eggs or young. In several municipalities, other active sites were recorded after an earlier nest disappeared, although movement of individual pairs could not be established. Postojna weather records provide regional context only. The heterogeneous and incomplete data do not support causal conclusions or inferential comparisons among municipalities.
Conservation and monitoring should therefore focus on the stability, safety, and reproductive documentation of individual nests, especially where nests disappear or new sites emerge. Future studies should use standardised annual protocols, distinguish missing information from confirmed absence, and collect complete records of eggs, hatchlings, fledged young, habitat conditions, and local weather.
Limitations and Future Research Directions
These conclusions should be viewed in light of several limitations. Monitoring periods differed among nesting sites, and reproductive records, particularly counts of young, were incomplete and inconsistently available. Missing observations were excluded from interpretation and were not treated as confirmed absence. Individual birds were not marked, so newly recorded nests within a municipality cannot be attributed to the same breeding pairs. Weather data from Postojna provide regional context and may not represent conditions at each nest during critical breeding stages. Habitat descriptors were used only for site characterisation because the number of sites was small and the variables were categorical. These limitations precluded reliable inferential analysis. Future research should combine standardised long-term monitoring with GIS-based habitat metrics, local weather and hydrological data, bird tracking, and complete reproductive records.