Zsolt Molnár

A grid-based, satellite-image supported, multi-attributed vegetation mapping method (MÉTA)

In this paper we present the main characteristics of a new, grid-based, landscape-ecology-oriented, satellite-image supported, field vegetation mapping method, called MÉTA (MÉTA stands for Magyarországi Élőhelyek Térképi Adatbázisa: GIS Database of the Hungarian Habitats). The goals of the MÉTA method based vegetation mapping program (MÉTA mapping) include the following: (1) to map the actual (semi-)natural vegetation of Hungary; (2) to evaluate Hungarian (semi-)natural vegetation heritage for conservation purposes; (3) to evaluate the present state of Hungarian landscapes from a vegetation point of view; (4) to collect vegetation and landscape ecological data for the prognosis of future changes of vegetation and the landscape. Spatial resolution, mapped attributes and mapping methods were developed to meet these goals.The MÉTA method uses a hexagon grid with cells of 35 hectares. In the hexagons, habitat types are listed, then the area, naturalness-based habitat quality, spatial pattern in the hexagon, effect of the neighbourhood, connectedness, and threats are recorded for each habitat type. Other attributes are recorded in the hexagons: potential natural vegetation, area occupied by invasive plant species, area of old fields, land use of grasslands, and landscape health status (naturalness and regeneration potential of the landscape in general). One hundred hexagons form a quadrat — mainly for practical, organizational reasons, but also for collecting certain vegetation data at this spatial scale. For standardization of mapping, three different pre-printed data sheets and two different kinds of guides have been composed (Mapping Guide and Habitat Guide) and field trainings were organized. For standardization of estimation of naturalness-based habitat quality and regeneration potential field examples were prepared for each habitat type and each category of these attributes.

Classification of pasture habitats by Hungarian herders in a steppe landscape (Hungary)

BackgroundLandscape ethnoecology focuses on the ecological features of the landscape, how the landscape is perceived, and used by people who live in it. Though studying folk classifications of species has a long history, the comparative study of habitat classifications is just beginning. I studied the habitat classification of herders in a Hungarian steppe, and compared it to classifications of botanists and laymen.MethodsFor a quantitative analysis the picture sort method was used. Twenty-three pictures of 7-11 habitat types were sorted by 25 herders.’Density’ of pictures along the habitat gradient of the Hortobágy salt steppe was set as equal as possible, but pictures differed in their dominant species, wetness, season, etc. Before sorts, herders were asked to describe pictures to assure proper recognition of habitats.ResultsHerders classified the images into three main groups: (1) fertile habitats at the higher parts of the habitat gradient (partos, lit. on the shore); (2) saline habitats (szík, lit. salt or saline place), and (3) meadows and marshes (lapos, lit. flooded) at the lower end of the habitat gradient. Sharpness of delimitation changed along the gradient. Saline habitats were the most isolated from the rest. Botanists identified 6 groups. Laymen grouped habitats in a less coherent way.As opposed to my expectations, botanical classification was not more structured than that done by herders. I expected and found high correspondence between the classifications by herders, botanists and laymen. All tended to recognize similar main groups: wetlands, ”good grass” and dry/saline habitats. Two main factors could have been responsible for similar classifications: salient features correlated (e.g. salinity recognizable by herders and botanists but not by laymen correlated with the density of grasslands or height of vegetation recognizable also for laymen), or the same salient features were used as a basis for sorting (wetness, and abiotic stress).ConclusionsDespite all the difficulties of studying habitat classifications (more implicit, more variable knowledge than knowledge on species), conducting landscape ethnoecological research will inevitably reveal a deeper human understanding of biological organization at a supraspecific level, where natural discontinuities are less sharp than at the species or population level.

Multidimensionality and scale in a landscape ethnoecological partitioning of a mountainous landscape (Gyimes, Eastern Carpathians, Romania)

BackgroundTraditional habitat knowledge is an understudied part of traditional knowledge. Though the number of studies increased world-wide in the last decade, this knowledge is still rarely studied in Europe. We document the habitat vocabulary used by Csángó people, and determine features they used to name and describe these categories.Study area and methodsCsángó people live in Gyimes (Carpathians, Romania). The area is dominated by coniferous forests, hay meadows and pastures. Animal husbandry is the main source of living. Data on the knowledge of habitat preference of 135 salient wild plant species were collected (2908 records, 44 interviewees). Data collected indoors were counterchecked during outdoor interviews and participatory field work.ResultsCsángós used a rich and sophisticated vocabulary to name and describe habitat categories. They distinguished altogether at least 142–148 habitat types, and named them by 242 habitat terms. We argue that the method applied and the questions asked (‘what kind of place does species X like?’) helped the often implicit knowledge of habitats to be verbalized more efficiently than usual in an interview. Habitat names were highly lexicalized and most of them were widely shared. The main features were biotic or abiotic, like land-use, dominant plant species, vegetation structure, successional stage, disturbance, soil characteristics, hydrological, and geomorphological features. Csángós often used indicator species (28, mainly herbaceous taxa) in describing habitats of species. To prevent reduction in the quantity and/or quality of hay, unnecessary disturbance of grasslands was avoided by the Csángós. This could explain the high number of habitats (35) distinguished dominantly by the type and severity of disturbance. Based on the spatial scale and topological inclusiveness of habitat categories we distinguished macro-, meso-, and microhabitats.ConclusionsCsángó habitat categories were not organized into a single hierarchy, and the partitioning was multidimensional. Multidimensional description of habitats, made the nuanced characterization of plant species’ habitats possible by providing innumerable possibilities to combine the most salient habitat features. We conclude that multidimensionality of landscape partitioning and the number of dimensions applied in a landscape seem to depend on the number of key habitat gradients in the given landscape.

Maintaining Cultural and Natural Biodiversity in the Carpathian Mountain Ecoregion: Need for an Integrated Landscape Approach

Landscapes located in the periphery of economic development, such as in parts of the Carpathian ecoregion, host remnants of both near-natural ecosystems and traditional agricultural land use systems. Such landscapes are important both for in situ conservation of natural and cultural biodiversity, and as references for biodiversity restoration elsewhere in Europe. This paper first reviews the contemporary understanding of benchmarks for biodiversity conservation in terms of ecosystems with natural disturbance regimes and pre-industrial cultural landscapes. Second, after providing a historical background, we review the challenges to natural and cultural biodiversity conservation and discuss current development trajectories. Third, we provide concrete examples from six Carpathian areas with different proportions of natural and cultural biodiversity. Fourth, we discuss the need for a diversity of management systems toward protection, management and restoration, spatial planning, and multi-sector governance for conservation of natural and cultural landscapes’ biodiversity. Finally, we stress the need to encourage integration of management, planning and governance of social and ecological systems to maintain natural and cultural biodiversity. The natural vegetation of the Carpathian Mountains is mostly forests and woodlands. Natural disturbances as wind, snow, frost, fire and flooding as well as insects and fungi resulted in forests characterized by old and large trees, diverse horizontal and vertical structures, and large amounts of dead wood in various stages of decay. While some near-natural forests remain, in most of the Carpathian ecoregion pre-industrial cultural landscapes evolved. Human use created traditional village system with infield houses, gardens, fields, meadows and outfield meadows and pastures, and woodlands which not only provide ecosystem services but also represent cultural heritage. The maintenance of natural and cultural biodiversity may require active management of species, habitats and processes. However, designing management systems that emulate natural and cultural landscape’s disturbance regimes is a major challenge requiring collaboration of private, public and civic sector stakeholders, and integration of social and ecological systems. Maintaining and restoring the traditional village system’s social capital as well as functional networks of protected areas and implementing sustainable forest management in managed forests are thus crucial. The Carpathian ecoregion forms a quasi-experiment with new country borders that have created stark contrasts among regions regarding natural and cultural biodiversity. This ecoregion can therefore be seen as a landscape-scale laboratory for systematic studies of interactions between ecological and social systems to support the development of an integrated landscape approach to biodiversity conservation and cultural heritage.

Common and conflicting objectives and practices of herders and conservation managers: the need for a conservation herder

Abstract The mutual dependence of extensive land-use and conservation management has become apparent in Europe in the last 20–30 yr. Extensive land-use often survives in protected areas only, in the form of conservation management. Knowledge of extensive herding and that of conservation management are parts of two knowledge systems (traditional and scientific) which often leads to conflicts between locals and conservationists. We studied two herding/conservation systems (salt steppes and wood-pastures), and developed an inventory on the common/similar and conflicting/different objectives and pasture management practices of herders and conservationists. Data were collected by participatory knowledge co-production in teamwork of the co-authors (herders, conservation managers, and scientists). Data were analyzed and discussed in teamwork too. Herders and conservationists identified 23 objectives and 29 management practices. We found a number of common interests with respect to herding, the ideal state of pastures, legal provisions, and communication. Conflict resolution recommendations (e.g., on time and place of grazing, pasture improvements) were also developed. We argue that by co-production of knowledge, and establishment of a herder “school” the mitigation of the existing conflicts would be more effective. Our conclusion is that a new profession is needed: that of the conservation herder. The conservation herder shall be an individual knowledgeable about herding and pasture management, trained in conservation and ecology, able to design management experiments, and develop novel but tradition-based management practices. As such, he/she could facilitate adaptation of extensive herding in the changing socio-economic environment.

Landscape ethnoecological knowledge base and management of ecosystem services in a Székely-Hungarian pre-capitalistic village system (Transylvania, Romania).

BackgroundPrevious studies showed an in-depth ecological understanding by traditional people of managing natural resources. We studied the landscape ethnoecological knowledge (LEEK) of Székelys on the basis of 16-19th century village laws. We analyzed the habitat types, ecosystem services and sustainable management types on which village laws had focused.MethodsSzékelys had self-governed communities formed mostly of “noble peasants”. Land-use was dominated by commons and regulated by village laws framed by the whole community. Seventy-two archival laws from 52 villages, resulting in 898 regulations, were analyzed using the DPSIR framework. Explicit and implicit information about the contemporary ecological knowledge of Székelys was extracted. We distinguished between responses that limited use and supported regeneration and those that protected produced/available ecosystem services and ensured their fair distribution.ResultsMost regulations referred to forests (674), arable lands (562), meadows (448) and pastures (134). Székelys regulated the proportion of arable land, pasture and forest areas consciously in order to maximize long-term exploitation of ecosystem services. The inner territory was protected against overuse by relocating certain uses to the outer territory. Competition for ecosystem services was demonstrated by conflicts of pressure-related (mostly personal) and response-related (mostly communal) driving forces. Felling of trees (oaks), grazing of forests, meadows and fallows, masting, use of wild apple/pear trees and fishing were strictly regulated. Cutting of leaf-fodder, grazing of green crops, burning of forest litter and the polluting of streams were prohibited. Marketing by villagers and inviting outsiders to use the ecosystem services were strictly regulated, and mostly prohibited. Székelys recognized at least 71 folk habitat types, understood ecological regeneration and degradation processes, the history of their landscape and the management possibilities of ecosystem services. Some aspects of LEEK were so well known within Székely communities that they were not made explicit in village laws, others remained implicit because they were not related to regulations.ConclusionsBased on explicit and implicit information, we argue that Székelys possessed detailed knowledge of the local ecological system. Moreover the world’s first known explicit mention of ecosystem services (“Benefits that are provided by Nature for free”) originated from this region from 1786.

Implementation and application of multiple potential natural vegetation models – a case study of Hungary

Questions Multiple potential natural vegetation (MPNV) is a framework for the probabilistic and multilayer representation of potential vegetation in an area. How can an MPNV model be implemented and synthesized for the full range of vegetation types across a large spatial domain such as a country? What additional ecological and practical information can be gained compared to traditional potential natural vegetation (PNV) estimates? Location Hungary. Methods MPNV was estimated by modelling the occurrence probabilities of individual vegetation types using gradient boosting models (GBM). Vegetation data from the Hungarian Actual Habitat Database (META) and information on the abiotic background (climatic data, soil characteristics, hydrology) were used as inputs to the models. To facilitate MPNV interpretation a new technique for model synthesis (re-scaling) enabling comprehensive visual presentation (synthetic maps) was developed which allows for a comparative view of the potential distribution of individual vegetation types. Results The main result of MPNV modelling is a series of raw and re-scaled probability maps of individual vegetation types for Hungary. Raw probabilities best suit within-type analyses, while re-scaled estimations can also be compared across vegetation types. The latter create a synthetic overview of a locations PNV as a ranked list of vegetation types, and make the comparison of actual and potential landscape composition possible. For example, a representation of forest vs grasslands in MPNV revealed a high level of overlap of the potential range of the two formations in Hungary. Conclusion The MPNV approach allows viewing the potential vegetation composition of locations in far more detail than the PNV approach. Re-scaling the probabilities estimated by the models allows easy access to the results by making potential presence of vegetation types with different data structure comparable for queries and synthetic maps. The wide range of applications identified for MPNV (conservation and restoration prioritization, landscape evaluation) suggests that the PNV concept with the extension towards vegetation distributions is useful both for research and application.

Use of long-term data to evaluate loss and endangerment status of Natura 2000 habitats and effects of protected areas

Habitat loss is a key driver of biodiversity loss. However, hardly any long-term time series analyses of habitat loss are available above the local scale for finer-level habitat categories. We analysed, from a long-term perspective, the habitat specificity of habitat-area loss, the change in trends in habitat loss since 1989 (dissolution of the communist state), and the impact of protected areas on habitat loss in Hungary. We studied 20 seminatural habitat types in 5000 randomly selected localities over 7 periods from 1783 to 2013 based on historical maps, archival and recent aerial photos and satellite imagery, botanical descriptions, and field data. We developed a method for estimating habitat types based on information transfer between historical sources (i.e., information from a source was used to interpret or enrich information from another source). Trends in habitat loss over time were habitat specific. We identified 7 types of habitat loss over time regarding functional form: linear, exponential, linear and exponential, delayed, minimum, maximum, and disappearance. Most habitats had continuous loss from period to period. After 1986 the average annual rates of habitat loss increased, but the trend reversed after 2002. Nature conservation measures significantly affected habitat loss; net loss was halted, albeit only inside protected areas. When calculating the degree of endangerment based on short-term data (52 years), we classified only 1 habitat as critically endangered, but based on long-term data (230 years), this increased to 7 (including habitat that no longer existed). Hungary will probably reach the global Convention on Biological Diversity Target 5 but will probably not achieve the EU Biodiversity Strategy target of halting habitat loss by 2020. Long-term trend data were highly useful when we examined recent habitat-loss data in a wider context. Our method could be applied effectively in other countries to augment shorter-term data sets on trends in habitat area.

The bear in Eurasian plant names: Motivations and models

Ethnolinguistic studies are important for understanding an ethnic group’s ideas on the world, expressed in its language. Comparing corresponding aspects of such knowledge might help clarify problems of origin for certain concepts and words, e.g. whether they form common heritage, have an independent origin, are borrowings, or calques. The current study was conducted on the material in Slavonic, Baltic, Germanic, Romance, Finno-Ugrian, Turkic and Albanian languages. The bear was chosen as being a large, dangerous animal, important in traditional culture, whose name is widely reflected in folk plant names. The phytonyms for comparison were mostly obtained from dictionaries and other publications, and supplemented with data from databases, the co-authors’ field data, and archival sources (dialect and folklore materials). More than 1200 phytonym use records (combinations of a local name and a meaning) for 364 plant and fungal taxa were recorded to help find out the reasoning behind bear-nomination in various languages, as well as differences and similarities between the patterns among them. Among the most common taxa with bear-related phytonyms were Arctostaphylos uva-ursi (L.) Spreng., Heracleum sphondylium L., Acanthus mollis L., and Allium ursinum L., with Latin loan translation contributing a high proportion of the phytonyms. Some plants have many and various bear-related phytonyms, while others have only one or two bear names. Features like form and/or surface generated the richest pool of names, while such features as colour seemed to provoke rather few associations with bears. The unevenness of bear phytonyms in the chosen languages was not related to the size of the language nor the present occurence of the Brown Bear in the region. However, this may, at least to certain extent, be related to the amount of the historical ethnolinguistic research done on the selected languages.

Ethnoecology - The best medicine against allergy?

This essay, which is the 6th in the series “Recollections, Reflections, and Revelations: Ethnobiologists and Their First Time in the Field”, is a personal reflection by the researcher on his first field experiences with ethnobiology. Author writes on how Hungarian herders in the Hortobágy salt steppes and Csángó people in the Carpathian mountains changed his views on landscape, vegetation, local people, traditional small-scale grassland management and finally, ecology and nature conservation.