The Combined Use of GIS and Generative Artificial Intelligence in Detecting Potential Geodiversity Sites and Promoting Geoheritage DOI Creative Commons
Paweł Wolniewicz

Resources, Год журнала: 2024, Номер 13(9), С. 119 - 119

Опубликована: Авг. 27, 2024

The concept of geosites and geodiversity sites that document selected elements has proved to be extremely useful in the preservation communication abiotic diversity Earth. However, process designation, description, evaluation and, finally, promotion requires a fair amount effort. This hinders recognition development geoparks many areas would otherwise benefit from their rich but undervalued environment. To rectify this, present study introduces use automated geographic information system (GIS) mapping generative artificial intelligence (GAI) for designation points geological interest potential sites. When used effectively, these techniques permit rapid site inventories eventually, dissemination general public decision-makers. In this study, GAI is employed produce diverse promotional content, both textual visual, facilitates geoscientific communication. A case an aspiring geopark located Poland (Central Europe) discussed, showing enable easy-to-understand educational materials, limiting resources labour required effective geodiversity.

Язык: Английский

Barriers and opportunities for resilient and sustainable urban forests DOI
Manuel Esperón‐Rodríguez, Rachael V. Gallagher, Carlo Calfapietra

и другие.

Nature Cities, Год журнала: 2025, Номер unknown

Опубликована: Фев. 28, 2025

Язык: Английский

Процитировано

3

Threats Assessment of the Endemic Idle Crayfish (Austropotamobius bihariensis Pârvulescu, 2019): Lessons From Long‐Term Monitoring DOI Creative Commons
A. Ács, Mihaela C. Ion, Kristian Miok

и другие.

Aquatic Conservation Marine and Freshwater Ecosystems, Год журнала: 2025, Номер 35(1)

Опубликована: Янв. 1, 2025

ABSTRACT The idle crayfish ( Austropotamobius bihariensis Pârvulescu, 2019), endemic to Romania's Apuseni Mountains, urgently requires a specific conservation plan. Due its recent description, efforts have been limited, highlighting the need for immediate and practical recommendations ensure protection. Over 13 years, field observations were conducted evaluate population trends identify threats following IUCN standards. Additionally, geospatial assessments predictive modelling employed estimate both optimal habitat current size under three distinct scenarios. primary identified include poor forest management, extreme drought, anthropogenic development riverbed alterations, all contributing declines in abundance. most severe impacts arise when these pressures converge at single site, compounded by chronic, low‐virulence plague infection (A‐haplogroup). total is estimated 31,150 (± 449.9 SE) individuals, with 1,163,754 m 2 of suitable habitat, which only 37.9% lies within protected areas realistic scenario. Poor water quality was found significantly reduce modelled size. In light findings, we propose series targeted actions tailored each area highlight importance extending measures beyond their boundaries. recommend implementing ‘ark sites’ concept regions ecological conditions, stable populations genetic diversity, safeguard species through effective management.

Язык: Английский

Процитировано

0

Towards a comprehensive geodiversity - Biodiversity nexus in terrestrial ecosystems DOI
Carl Beierkuhnlein,

Ben Pugh,

Scott Justice

и другие.

Earth-Science Reviews, Год журнала: 2025, Номер unknown, С. 105075 - 105075

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Samoa in the SW Pacific DOI
Károly Németh, Vladyslav Zakharovskyi

Geoheritage, geoparks and geotourism, Год журнала: 2025, Номер unknown, С. 1 - 17

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Geodiversity as a surrogate to inform freshwater fish diversity conservation and management DOI

Jie Wang,

Juan Tao, Jani Heino

и другие.

Journal of Applied Ecology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 17, 2025

Abstract Geodiversity offers novel insights into biodiversity patterns and their underlying mechanisms, thereby contributing to the development of conservation strategies amid widespread environmental changes human disturbances. However, relationship between geodiversity remains largely unexplored, particularly in freshwater ecosystems. Here, we investigated extent which accounts for fish diversity across dimensions (taxonomic, functional phylogenetic) levels (alpha beta) Lancang‐Mekong River. We first compiled three datasets (i.e. occurrence records, traits phylogenetic relations) seven geofeature group discharge, waterbody, topography, terrestrial cover, landform, soil rock) catchment. Multidimensional were then calculated at alpha beta levels, respectively. Next, assessed influence on multidimensional corresponding using generalized linear mixed models (GLMMs) structural equation modelings (SEMs). showed contrasting with showing positive upriver‐downriver gradients, but negative gradients along river continuum. The spatial congruence was weak geofeatures levels. substantially accounted variance both conditional R 2 GLMMs ranging from 0.892 0.996. increase primarily driven by growing variability discharge waterbody types, while mainly influenced rising dissimilarity types. SEMs revealed that indirect effects generally weak. Synthesis applications . Our findings emphasize profound large rivers, revealing its central role shaping through enhancing heterogeneity resource availability. To sustain diversity, it is crucial maintain types preserve linkages among components. Integrating programmes provides a robust framework ensuring ecosystem resilience functionality guiding management restoration globally, face rapid changes.

Язык: Английский

Процитировано

0

Quantitative geodiversity assessment in biodiversity investigations DOI Creative Commons
Maija Toivanen

Nordia Geographical Publications, Год журнала: 2024, Номер 53(2), С. 1 - 70

Опубликована: Авг. 23, 2024

Despite the growing recognition of geodiversity in recent years, it remains overshadowed by its biotic counterpart, biodiversity. The objective this thesis is to narrow gap advancing quantitative assessment within context main provide a theoretical and methodological framework for study landscape-scale biodiversity investigations, with some insights nature conservation. To achieve goal, I will I) review theory geodiversity–biodiversity relationship, II) empirically test relationship Finnish freshwater ecosystems, III) data methods Europe-wide studies. By employing geographical research inspired ecological traditions, investigate between across aquatic terrestrial ecosystems. Empirical investigations revealed positive correlations vascular plant species richness distinct studies conducted Finland Switzerland, both This aligns assumption that fosters greater Moreover, produced provides ready-to-use variables future continent contributes large-scale general. In conclusion, recommend further development establishment systematic frameworks various contexts. Such actions would facilitate implementation standardized reproducible practices, thereby helping unlock geodiversity’s potential conservation practice. Integrating systematically into policy making essential fully acknowledge crucial role shaping sustainable future. broadening perspectives on natural diversity beyond alone, seeks enhance general understanding appreciation geodiversity.

Язык: Английский

Процитировано

1

Integrating geodiversity in animal spatial ecology: microhabitat selection of Eurasian lynx (Lynx lynx) and European wildcat (Felis silvestris) in a karst landscape DOI Creative Commons
Špela Čonč, Teresa Oliveira, Lan Hočevar

и другие.

Global Ecology and Conservation, Год журнала: 2024, Номер 54, С. e03138 - e03138

Опубликована: Авг. 11, 2024

Geodiversity, encompassing various geophysical elements, can have an important impact on species distribution and affect animal behaviour patterns. Although many wild felids are attracted to rugged terrain conspicuous relief features, most previous research was limited general topographical characteristics (e.g., slope or ruggedness) rarely considered the effects of specific microhabitat characteristics. This gap is primarily due availability high-resolution digital models (DTMs) features data at larger scales. However, LiDAR DTMs be used in combination with automatic methods detect enabling non-contact accurate mapping large, remote densely-forested areas. Here, we investigated selection patterns karstic as well topographic, anthropogenic vegetation characteristics, by two sympatric felids, Eurasian lynx (Lynx lynx) European wildcat (Felis silvestris), Dinaric Mountains, Slovenia. We DTM calculate topographic karst based methods. compared these between GPS-collared wildcats under a use-availability approach. also differences their origin experience (remnant vs. translocated naive experienced, respectively). observed significant space use both detected distinct species. Lynx selected proximity caves, cliffs, depressions, ridges, small rocky outcrops, roads, but avoided human settlements forest edges. Wildcats areas lower surface slope, closer main edges, caves roads settlements. stronger selection/avoidance among remnant lynx, while levels were less important. Our study demonstrates potential integrating sensing techniques information geodiversity into spatial ecology. Furthermore, our results indicate that provide abiotic microhabitats for may influence habitat segregation findings further evidence importance conservation need incorporate wildlife studies.

Язык: Английский

Процитировано

0

The Combined Use of GIS and Generative Artificial Intelligence in Detecting Potential Geodiversity Sites and Promoting Geoheritage DOI Creative Commons
Paweł Wolniewicz

Resources, Год журнала: 2024, Номер 13(9), С. 119 - 119

Опубликована: Авг. 27, 2024

The concept of geosites and geodiversity sites that document selected elements has proved to be extremely useful in the preservation communication abiotic diversity Earth. However, process designation, description, evaluation and, finally, promotion requires a fair amount effort. This hinders recognition development geoparks many areas would otherwise benefit from their rich but undervalued environment. To rectify this, present study introduces use automated geographic information system (GIS) mapping generative artificial intelligence (GAI) for designation points geological interest potential sites. When used effectively, these techniques permit rapid site inventories eventually, dissemination general public decision-makers. In this study, GAI is employed produce diverse promotional content, both textual visual, facilitates geoscientific communication. A case an aspiring geopark located Poland (Central Europe) discussed, showing enable easy-to-understand educational materials, limiting resources labour required effective geodiversity.

Язык: Английский

Процитировано

0