Articles

The integration of LiDAR and Artificial Intelligence (AI) has revolutionized feature detection in urban environments. LiDAR systems, which utilize pulsed laser emissions and reflection measurements, produce detailed 3D maps of urban landscapes. When combined with AI, this data enables accurate identification of urban features such as buildings, green spaces, and infrastructure. This synergy is crucial for enhancing urban development, environmental monitoring, and advancing smart city governance. LiDAR, known for its high-resolution 3D data capture capabilities, paired with AI, particularly deep learning algorithms, facilitates advanced analysis and interpretation of urban areas. This combination supports precise mapping, real-time monitoring, and predictive modeling of urban growth and infrastructure. For instance, AI can process LiDAR data to identify patterns and anomalies, aiding in traffic management, environmental oversight, and infrastructure maintenance. These advancements not only improve urban living conditions but also contribute to sustainable development by optimizing resource use and reducing environmental impacts. Furthermore, AI-enhanced LiDAR is pivotal in advancing autonomous navigation and sophisticated spatial analysis, marking a significant step forward in urban management and evaluation. The reviewed paper highlights the geometric properties of LiDAR data, derived from spatial point positioning, and underscores the effectiveness of machine learning algorithms in object extraction from point clouds. The study also covers concepts related to LiDAR imaging, feature selection methods, and the identification of outliers in LiDAR point clouds. Findings demonstrate that AI algorithms, especially deep learning models, excel in analyzing high-resolution 3D LiDAR data for accurate urban feature identification and classification. These models leverage extensive datasets to detect patterns and anomalies, improving the detection of buildings, roads, vegetation, and other elements. Automating feature extraction with AI minimizes the need for manual analysis, thereby enhancing urban planning and management efficiency. Additionally, AI methods continually improve with more data, leading to increasingly precise feature detection. The results indicate that the pulse emitted by continuous wave LiDAR sensors changes when encountering obstacles, causing discrepancies in measured physical parameters.

<i>Anthyllis hermanniae</i> subsp. <i>brutia</i>, is an Italian endemic shrub occurring just in one locality by the Calabrian Ionian coast in southern Italy. Objective of this study is to provide data on population numbers, demography and ecology, as well as to identify the main threats on the long term conservation of the target taxon. The survey has been carried out through field census work, sampling biometric and dendrometric data, and applying simple statistics. The population, counting totally 962 individuals, is divided in two stands concentrated in the central part of the distribution area. It is restricted to a narrow belt on the inland part of the dune slope encompassed between an artificial pine forest at the dune top, and the dune-specialized vegetation on the slope. Some biometric insights, such as stem diameter, plant height and number of annual rings, suggest the role of micro-ecology in individual shaping. The most relevant threating factor for the long term conservation of this rare taxon is the rapidly spreading <i>Pinus halepensis</i> subsp. <i>halepensis</i>. Local population of this invasive alien species, deriving from planted individuals, is now invading the <i>A. hermanniae</i> subsp. <i>brutia</i> habitat. Chorological and ecological data here provided should hopefully steer further population dynamics investigation as well as any urgent environment management actions.

In Cuba, the great diversity and high endemism of the plant formations on serpentine stand out. Cuabales (scrub xeromorphic thorny on serpentine) present important natural values for the sustainability of Cuban biodiversity, but with a high degree of vulnerability. Although there are currently several investigations into the flora and vegetation of these ecosystems, there is a scientific vacuum on the conservation of these plant formations, from the social point of view. In the Callejón de Los Patos of Santa Clara, there is a cuabal, although it presents a high level of deterioration, due to anthropic activity. This research focused on assessing environmental management for the sustainability of the cuabal of Callejón de Los Patos of Santa Clara. The methodological perspective that predominated in the research process was qualitative and quantitative analysis of the data was incorporated to better visualize the trend in the analysis of the results. The investigative methods used were: observation, document analysis, in-depth and structured interviews. The diagnosed results showed insufficient knowledge, in the inhabitants of Callejón de Los Patos, related to the cuabal, its sustainability, and its importance. The absence of collective projection of actions to mitigate environmental problems identified in the settlement, that affect the deterioration of said plant formation was detected; results demonstrate poor environmental management for the sustainability of cuabal.

Al-Dawaimah is an ancient Canaanite Palestinian village, occupied in 1948 by Israel, and belongs to inframediterranean to thermomediterranean thermotype and arid, semi-arid, and dry ombrotype. The study presents, a region rich in many plant vascular, and it is part of the Palestinian coast, North Africa, the Negev and the Sinai desert, in addition to the mountainous hills of Palestine located west of the Hebron, Jordan River and the Dead Sea. The objective is to identify and update the flora and vegetation in the area of Al-Dawaimah and its neighboring areas in west Hebron of Palestine. Methodology: More than 270 plant specimens have been taken from Al-Dawaimah and surroundings areas, using Braun-Blanquet, Van der Maarel and Salvador River Martinez methods to study the flora, and phytosociological plants, and 214 x 10 plants plots distributed in area were studied. Result and discussion: Three different plant communities were identified, in different environments between arid, dry- subhumid ombrotype and infra-thermomediterranean thermotype, and different soils as (carbon substrates as brown ruinsenas and terra rossa lands, limestone and others), where more than 214 species of plants have been found, of which 45 (20.02%) are endemic species, and in Raunkiaer's life system, trees represent were, (86; 40.18% trees), (34; 15.88% shrubs), (51; 23.83% chamaephytes), (10; 4.67% geophytes), (16; 7.47% phanerophytes), and (12; 6.54% hemicryptophytes). Conclusion: In Al-Dawaimah area<b>,</b> syntaxonomical performance of these associations are: <i>Quercetalia ilicis</i> Br.-Bl. ex Molinier 1934. <i>Rhamno lycioidis-Quercion cocciferae</i> Rivas Goday ex Rivas-Martinez 1975. 1. <i>Rhamnus palaestinae- Quercetum calliprini</i> ass. nova., <i>Pistacio</i> <i>lentisci -Rhamnetalia alaterni</i> Rivas-Martínez 1975. 2. <i>Ceratonio siliquae -Pistacetum lentisci</i> ass. nova., <i>Junipero</i> <i>phoeniceae- Pinon acutisquamae</i> A.V. Pérez et Cabezudo in A.V. Pérez et al. 1988 corr. Rivas-Martinez. et al. 2002. <i>Pinetalia halepensis</i> Biondi et al. 2014. 3. <i>Junipero phoeniceae- Pinetum halepensis</i> ass. nova.

The reduction of the native forests coverage in mainland Portugal increased in the past centuries, leading to a marked decrease in biodiversity in general, especially on typical species of mature forest environments. However, urban biodiversity seems to resist more effectively than rural to disturbances due to the lower incidence of fires, as well as to agriculture expansion. Thus, in this work, we analyzed the dynamics of the natural vegetation potential in each biogeographic sector, and selected, based on the evolutionary stages of the vegetation, a set of priority taxa for conservation. The criteria used are intended to highlight plants with ornamental value, but at the same time, some of them have high patrimonial value, belonging to the Red List of Vascular Flora of Mainland Portugal or protected by Annexes II, IV and V of the Sectorial Plan of the Natura 2000 Network at the European level. Our analysis resulted in the identification of 62 plants that can be increased in public spaces in order to improve their conservation status. For each biogeographic sector, the plants best adapted to the local edaphoclimatic conditions are presented. Forest habitats can now, through micro-reserves in urban areas, ensure their long-term conservation and greater awareness among the population. An integrated planning, where the socio-ecological strategy is designed for the long term, will benefit the quality of life of citizens in an urban environment. Furthermore, the creation of micro-reserves in urban parks (gardens) can prevent the extinction of many botanical values in the landscapes of the western Mediterranean Basin.

The objective of this work is to materialize the learning of geobotanical concepts, and a methodology for the interpretation of the landscape, which allows the student to acquire practical knowledge, to obtain sufficient autonomy that allows him to join the labor market. Regarding the methodology, 100 field samples are taken for 3 years, and the participation of 60 students. The evaluation is carried out through reports on the field study. The landscapes of various areas of southern Spain are studied. For this we rely on the methodology previously established by other researchers, through which a complete diagnosis of a territory is reached, since the series and geoseries of vegetation are revealed. Being a study of natural reality, the abstract character presented by concepts such as sigmetum, sinassociation, series, geoseries, climatophilous, edaphoxerophilous, chain; it is perfectly clarified to the student, which makes the student progress efficiently, coming to the fore the acquisition of practical knowledge compared to theoretical ones. For this reason, practical teaching acquires preponderance, since it not only provides knowledge, but also development of cognitive and psychomotor skills, which are essential in the acquisition of skills and development of the individual's personality.

A domain of practical learning over the theoretical is provided in this work, for this several places of natural interest have been studied (Natural Parks), a quality pedagogical training is obtained, through which the students of Vocational Training and Primary and Secondary Education Teachers obtain competences in the management of natural spaces, which are of interest for conservation, competences in flora, plant communities, habitats and interpretation of the landscape. The learning is eminently practical, which allows trained personnel to enter the labor market. The study of natural spaces has been carried out using direct observation techniques, with the participation of specialist teachers in various fields, because the interpretation of vegetation, habitats and landscape requires multidisciplinary techniques. For this, teaching methodologies in Botany are used, how have the phytosociological sampling techniques been; Geology, Edaphology, and Climatology, in the latter case creating future predictive models that allow the student to make decisions about the management of a territory; this study has made it possible to carry out a comprehensive interpretation of the natural environment, with a notable pedagogical improvement in learning.

Although there are numerous studies on the floristic composition of the Andean and Caribbean grasslands, there are limited information from a phytosociological point of view. This work therefore aims to highlight the differences in this important vegetation type in these two biodiversity hotspots to gain a better understanding of their floristic and vegetational richness. The floristic composition of Andean grasslands (Ecuador) and the island of Hispaniola is also studied. The reason for this comparative analysis of Andean and Caribbean territories is their tropical character and their bioclimatic similarities. The comparative analysis of Peruvian Andean and Colombian grasslands is based on floristic knowledge from the literature, our inventories on the island of Hispaniola, and the works of Peguero. We applied the phytosociological methodology of Braun-Blanquet and the code of phytosociological nomenclature. We performed a statistical analysis to verify the differences between both community types using the statistical packages PAST© and CAP3. The comparative analysis of Andean and Caribbean grasslands shows a clear floristic and biogeographical differentiation and reveals that the only ecological character they share is their high-mountain attribute. In the Caribbean these communities are found only on the island of Hispaniola (Dominican Republic) in the Central biogeographic sector, Central subprovince, Hispaniola province. These grasslands are exclusive to Hispaniola and have a high rate of endemics. We propose the following new syntaxa: the association <i>Hyperico constanzae-Danthonietum domingensis</i>,<i> </i>the alliance<i> Hieracio domingensis-Deschampsion domingensis</i>, the order<i> Danthonietalia domingensis, </i>and the class <i>Deschampsio-Danthonietea domingensis.</i> We found high biodiversity values for Andean and Caribbean areas. This is due to the intense anthropic activity on the island of Hispaniola, which has led to a high percentage of naturalized plants.

This study aimed to assess the floristic composition, vegetation structure and species associations of Cashew agro-ecosystems in the North region of Cameroon. The data were collected in 100 m x 20 m transect methods. An analysis of the data collected in the field was conducted around the diversity and richness of the flora, but also the structure of Cashew agro-ecosystems. For the analyzes of vegetation structure, tree density, basal area and biovolume were calculated. The inventory included trees with a dbh greater than or equal to 5 cm on an area of ​​1 ha per plot. The experimental device installed is a complete random Fisher block with five repetitions. A total of 7849 individuals in 17 families, 20 genera and 38 species were recorded<i>. </i>Species Important value of vegetation cover indicated that <i>Diospyros </i><i>mespiliformis</i><i>, </i><i>Anogeissus</i><i> </i><i>leiocarpus</i><i>, Annona senegalensis and Terminalia </i><i>laxiflora</i> are the most represented. Combretaceae are the most ecologically important families. Additionally, the grouping of species into four subdivisions showed that the Shannon diversity index varies from 2.18 ± 0.09 - 3.47 ± 0.17 bits, Pielou index vary from 0.98 ± 0.01 - 0.99 ± 0.01, Simpson's index ranges from 0.70 ± 0.18 - 0.93 ± 0.11, density ranges from 102 ± 1.92 - 128 ± 6.36 indiv/ha, basal area ranges from 2.02 ± 0.31 - 12.68 ± 2.01 m²/ha, biovolume ranges from 11.58 ± 1.29 - 68.03 ± 13.21 m<SUP>3</SUP>/ha. The Sörensen similarity index is very high with floristic affinities greater than or equal to 90%. The diameters and heights structure show a predominance of young individuals for the diameter and height classes on all plots. The most represented species associations are legumes (<i>Arachis </i><i>hypogeae</i>: 40.54%) and native fruit trees (<i>Vitellaria </i><i>paradoxa</i>: 15%). These results show the contribution of Cashew agro-ecosystems in biodiversity conservation.