Biodiversity Conservation Strategies Research Articles

Trait-environment interactions of saproxylic beetles as a guide to biodiversity conservation strategies

Conservation of biodiversity requires in-depth knowledge of trait-environment interactions to understand the influence the environment has on species assemblages. Saproxylic beetles exhibit a wide range of traits and functions in the forest ecosystems. Understanding their responses to surrounding environment thus improves our capacity to identify habitats that should be restored or protected. We investigated potential interactions between ecological traits in saproxylic beetles (feeding guilds and habitat preferences) and environmental variables (deadwood, type and age of surrounding forest). We sampled beetles from 78 plots containing newly created high stumps of Scots pine and Silver birch in boreal forest landscapes in Sweden for three consecutive years. Using a model based approach, our aim was to explore potential interactions between ecological traits and the surrounding environment at close and distant scale (20 m and 500 m radius). We found that broadleaf-preferring beetle species are positively associated with the local broadleaf-originated deadwood and broadleaf-rich forests in the surrounding landscapes. Conifer-preferring species are positively associated with the local amount of coniferous deadwood and young and old forests in the surrounding landscape. Fungivorous and predatory beetles are positively associated with old forests in the surrounding landscapes. Our results indicate that both local amounts of deadwood and types of forests in the landscape are important in shaping saproxylic beetle communities. We particularly highlight the need to increase deadwood amounts of various qualities in the landscape, exempt older forests from production and to increase broadleaf-rich habitats in order to meet different beetle species’ habitat requirements. Trait responses among saproxylic beetles provide insights into the significance of broadleaf forest and dead wood as essential attributes in boreal forest restoration, which helps conservation planning and management in forest landscapes.

Cushions serve as conservation refuges for the Himalayan alpine plant diversity: Implications for nature-based environmental management

Globally, rapid climate and land-use changes in alpine environments are posing severe risks to their bountiful biodiversity and ecosystem services. Currently, nature-based solutions are fast-emerging as the preferred approach to address the challenges of environmental sustainability. In alpine environments, cushion plants owing to their unique architecture and adaptability offer a potential nature-based system to plan biodiversity conservation and habitat restoration strategies. Here, we employed an analytical framework to test whether and how the cushion plants facilitate the sustenance of alpine plant diversity in Kashmir Himalaya. We specifically aimed to answer: what are the effects of the cushion plants on the patterns of alpine species richness and phylogenetic diversity, and whether these effects vary across spatial scales (local versus landscape), cushion types, and changing elevation. We randomly selected pairs of cushion and neighbouring non-cushion plots (size 100 m2) across 34 different alpine sites in the study region. Within each plot, we randomly laid three 5 m2 quadrats for vegetation sampling, and sampled a total of 204 quadrats in 68 plots with seven cushion types along elevation ranging from 3100 to 3850 m. Our results revealed positive effects of the cushions by supporting a higher community species richness (SR) and phylogenetic diversity (PD). The effects were consistent both at the local (i.e., quadrat) and landscape (i.e., plot) scales, but varied significantly with the cushion type. Interestingly, SR and PD showed an increasing trend with increase in elevation in cushion communities, thereby supporting stress gradient hypothesis. Along the elevational gradient, the cushion communities showed phylogenetic overdispersion, but clustering by non-cushions. Overall, our study provides empirical evidence to reinforce the role of the cushions as conservation refugia for an imperilled alpine plant diversity in the Himalaya. Looking ahead, we highlight the far-reaching implications of our findings in guiding the nature-based environmental management of alpine ecosystems worldwide.

Conservation of the Rare and Endangered Vascular Plants in the Mining and Tourism Area: Khibiny Mountains, Murmansk Region, Russia.

The Khibiny Mountains (hereafter called Khibiny Mts.) are one of the most urbanized and industrialized regions in the Russian Arctic. There are combined a developed mining complex, elaborate infrastructure, a well-known tourist resort, and a large population, all amidst an exceptionally rich biodiversity of plants. In this study, we analyzed the current knowledge of the spatial distribution of rare and endangered vascular plants and vegetation and the impacts of human activities on these ecosystems. Approximately 28% of the protected vascular plant species in the Murmansk Region were registered within the confines of the Khibiny Mts. In particular, although only a handful of protected species had a widespread presence, most rare species were confined to the southern reaches of the mountain range, with only a select few extending into other parts. Papaver lapponicum was the only species that thrived across the entire territory, including industrial areas. The studied territory contained nine specially protected areas spanning 123,220 hectares. Nature monuments adjacent to mining sites and urban centers play an important role in preserving regional biodiversity. However, the expansion of the mining industry, alongside deforestation and wildfires, poses considerable threats to the biodiversity of the Khibiny Mts. A comprehensive biodiversity conservation strategy implemented in this region balances the local and expansive territorial protection of rare species and habitats, ensuring environmental preservation while facilitating social and economic progress, a noteworthy example of environmental protection in the Arctic.

Too much diversity—Multiple definitions of geodiversity hinder its potential in biodiversity research

AbstractGeodiversity—the diversity of abiotic features and processes of the Earth's surface and subsurface—is an increasingly used concept in ecological research. A growing body of scientific literature has provided evidence of positive links between geodiversity and biodiversity. These studies highlight the potential of geodiversity to improve our understanding of biodiversity patterns and to complement current biodiversity conservation practices and strategies. However, definitions of geodiversity in ecological research vary widely. This can hinder the progress of geodiversity–biodiversity research and make it difficult to synthesize findings across studies. We therefore call for greater awareness of how geodiversity is currently defined and for more consistent use of the term ‘geodiversity’ in biodiversity research.

Role of remote-sensing techniques in unveiling the spatiotemporal response of vegetation to climate change in the western Makkah Province of Saudi Arabia

Climate change is a global problem that dramatically affects natural resources, resulting in significant changes in temperature, precipitation, and humidity, which affect vegetation cover. Under this light, this study aimed to identify the potential of remote-sensing techniques to reveal the spatiotemporal response of vegetation cover to climate change in the western Makkah Province using Landsat-5 Thematic Mapper, Landsat-8 operational land imager, Global Land Data Assimilation System model, Global Precipitation Measurement, and Famine Early Warning Systems Network Land Data Assimilation System model data from 2000 to 2023. Optimised Soil-Adjusted Vegetation Index (OSAVI), classification, overlay, change detection, and correlation analysis were utilized to process data. Time series analysis of data revealed climate-related changes which were particularly intense in recent years. Specifically, temperature, precipitation, and specific humidity were found to differ depending on the landforms and season. Temperature was higher during the dry season compared to the wet season. A decrease was observed in the overall precipitation rate, which did not exceed 81.39 mm during the wet season and approximately 11.46 mm during the dry season. Additionally, precipitation increased in 2023 but decreased in 2018. Moreover, the study area was located on semi-arid lands for all years except for the wet season of 2023. OSAVI analysis, which is sensitive to climate change, revealed that vegetation coverage can be both positively and negatively affected by climate change. The most profound vegetation coverage in the study region was observed in 2023. A strong correlation was also observed between precipitation and vegetation in the study area, which showed less high-greenness in the dry season and more widespread grasses. The implications of these findings for the development of strategies for biodiversity conservation in semi-arid regions are significant.

Evaluation and Selection of Multi-Spectral Indices to Classify Vegetation Using Multivariate Functional Principal Component Analysis

The identification, classification and mapping of different plant communities and habitats is of fundamental importance for defining biodiversity monitoring and conservation strategies. Today, the availability of high temporal, spatial and spectral data from remote sensing platforms provides dense time series over different spectral bands. In the case of supervised mapping, time series based on classical vegetation indices (e.g., NDVI, GNDVI, …) are usually input characteristics, but the selection of the best index or set of indices (which guarantees the best performance) is still based on human experience and is also influenced by the study area. In this work, several different time series, based on Sentinel-2 images, were created exploring new combinations of bands that extend the classic basic formulas as the normalized difference index. Multivariate Functional Principal Component Analysis (MFPCA) was used to contemporarily decompose the multiple time series. The principal multivariate seasonal spectral variations identified (MFPCA scores) were classified by using a Random Forest (RF) model. The MFPCA and RF classifications were nested into a forward selection strategy to identify the proper and minimum set of indices’ (dense) time series that produced the most accurate supervised classification of plant communities and habitat. The results we obtained can be summarized as follows: (i) the selection of the best set of time series is specific to the study area and the habitats involved; (ii) well-known and widely used indices such as the NDVI are not selected as the indices with the best performance; instead, time series based on original indices (in terms of formula or combination of bands) or underused indices (such as those derivable with the visible bands) are selected; (iii) MFPCA efficiently reduces the dimensionality of the data (multiple dense time series) providing ecologically interpretable results representing an important tool for habitat modelling outperforming conventional approaches that consider only discrete time series.

Machine learning methods: Modeling net growth in the Atlantic Forest of Brazil

Tree growth models are an important and essential part of modeling forest dynamics and valuable tools for management planning and biodiversity conservation strategies. We applied three different machine learning models, namely Artificial Neural Networks (ANN), Support Vector Machine (SVM) and Random Forest (RF) models to predict tree growth at the plot-level in the Atlantic Forest of Brazil. Forest attributes, land use history, landscape, soil and climatic characteristics were used in the modeling. Recursive Feature Elimination (RF) was used to select the best subset of predictor variables. We found that edaphic, forest attributes and climatic variables are important in shaping growth in the Brazilian Atlantic Forest. Soil acidity was the most important characteristic. The machine learning methods were efficient. The Random Forest method showed superiority over the others for modeling growth in the Atlantic Forest. The Nemenyi test pointed out that the difference between the RF model and the other techniques was greater than the calculated Critical Difference (CD). Machine learning can be an important tool for modeling growth in forest fragments in the Brazilian Atlantic Forest. They can help in understanding the biome and in developing management strategies aimed at recovering biodiversity and reducing the deleterious effects of fragmentation.

Sustaining Livelihoods in Protected Areas: Lessons from State-initiated Projects in Mt. 
Hamiguitan Range 
Wildlife Sanctuary, Southern Philippines

The establishment of protected areas as a strategy for biodiversity conservation implies the need for sustainable alternative livelihoods of rural, forest-dependent communities. This article contributes to the discourse on balancing environmental conservation and economic well-being by examining state-initiated livelihood projects in Mount Hamiguitan Range Wildlife Sanctuary (MHRWS), Philippines, a UNESCO World Heritage Site. As the literature emphasizes on impacts of livelihoods on communities, it is also important to deal on the dynamics in the conceptualization and implementation of these livelihoods from the perspectives and experiences of implementers and beneficiaries, to possibly ensure sustainability. The data from in-depth interviews with implementers and survey among partner beneficiaries, revealed that strategies like conceptualizing projects with defined principles and purpose, engaging and understanding the community, implementing adaptive and responsive strategies, providing sustained marketing and technical support, and establishing partnerships with agencies, serve as facilitating factors for these livelihoods. However, these projects are challenged by lack of sustainability plan, of coordinated governance, and of sufficient, full-time, and tenured personnel. Hence, while state-initiated livelihood projects could be sustainable given its (state’s) mandate and resources, there are also impediments due to some structural inadequacies.

Vegetation profile and ecological traits in irrigated plains of semi-arid regions: A case study of Okara, Punjab Pakistan

Comprehensive botanical assessments are pivotal for understanding the intricate world of plant biodiversity. These assessments serve multifaceted purposes, from cataloging significant plant species within a region to aiding in conservation, monitoring protected areas, and providing valuable data for various scientific disciplines. The primary objective was to assess the vegetation profile and ecological traits in this region, conduct a comprehensive floristic inventory, categorize species, and investigate adaptability to semi-arid conditions within the irrigated plains of Okara, Punjab, Pakistan. Comprehensive botanical assessments were conducted to document the floristic composition and ecological characteristics of the region. A total of 135 plant species, belonging to 118 genera and 46 families, were identified. Notably, Poaceae and Fabaceae were the most prominent families. The study revealed diverse growth habits, with herbaceous plants being the most abundant. Life form analysis indicated Therophytes as the dominant category, and Microphylls were the most prevalent leaf type. Flowering phenology analysis highlighted two major flowering periods, primarily influenced by plant habit and size. Habitat-wise distribution demonstrated variations in species preferences, with unique associations observed in forest, vegetable, maize, paddy, and mustard fields. Invasive species accounted for 16.93% of the flora, with several herbs, shrubs, and trees identified as invasive. These findings contribute valuable insights into the botanical diversity and ecological traits of the Okara region, with implications for biodiversity conservation and land management strategies.

Some like it burnt: species differences in small mammal assemblage in a Mediterranean basin nearly 3 years after a major fire

The habitat accommodation model (HAM) is a theoretical framework that predicts wildlife community recovery based on their habitat requirements. While post-fire habitat-related research is well documented in the Mediterranean basin, studies specifically focusing on HAM are scarce. Here, we described the small mammal assemblage in a Mediterranean area ~3 years after a fire, specifically examining three functional small mammalian categories: ground-foraging insectivorous, ground-foraging herbivorous/granivorous, and arboreal-foraging species. The study was conducted in Monte Pisano (Italy), where fire burnt ~12 km2 in September 2018. A stratified random sampling was adopted, basing on burnt status and forest type. In each of the 50 sites, during late spring-summer 2021, 12 hair-tubes were deployed, and collected hairs were taxa-attributed based on morphology. A presence/absence dataset was built, and db-RDA was used to explore assemblage composition, and single-species occupancy models to test specific hypotheses. The relative abundance of ground-foraging herbivorous/granivorous was higher in the burnt area, characterised by a dense undergrowth, which could be related to anti-predatory strategies and food opportunities. Insectivorous could be in a recolonisation phase, masking their earlier absence, which could explain why their abundance was not associated with any factor tested. Arboreal-foraging species were associated with forest type, indicating a primary role for tree cover and other factors such as rocky cover and likely in situ survival. The HAM was overall confirmed also in Mediterranean basin ecosystems. This may facilitate predictions about post-fire animal successions, which in turn may provide valuable insights into post-fire management practices and biodiversity conservation strategies.

Elephant conservation in India: Striking a balance between coexistence and conflicts

AbstractIn the human‐dominated epoch of the Anthropocene, nations worldwide are trying to adopt a variety of strategies for biodiversity conservation, including flagship‐based approaches. The Asian elephant (Elephas maximus) plays a pivotal role as a flagship species in India's biodiversity conservation efforts, particularly within its tropical forest ecosystems. As the country harboring the largest Asian elephant population among the 13 range countries, India's conservation strategies offer valuable insights for other range countries. This study elucidates India's elephant conservation paradigm by outlining a historical account of elephant conservation in the country and examining the current administrative and legal frameworks. These are instrumental in implementing strategies aimed at maintaining sustainable elephant populations. Our study also analyzes trends in elephant populations and negative human–elephant interactions, drawing upon data from a centralized government database. Our findings indicate that the elephant population in India is reasonably stable, estimated at between 25,000 and 30,000 individuals. This figure constitutes nearly two‐thirds of the global Asian elephant population. India's elephant population occupies ~163,000 km2 of diverse habitats, comprising 5% of the country's land area, with their distribution spread across the northern, northeastern, east‐central, and southern regions. This distribution has shown fluxes, particularly in the east‐central region, where large‐scale elephant dispersals have been observed. Between 2009 and 2020, human–elephant conflicts in India have resulted in an average annual loss of 450 (±63.7) human lives. During the same period, the central and state governments paid an average of US$ 4.79 million (±1.97) annually as ex gratia for property losses. Recognizing the critical nature of these conflicts, India has implemented various measures to manage this pressing conservation challenge. Overall, sustaining the world's largest extant population of wild elephants in the midst of India's human‐dominated landscapes is enabled by a robust institutional policy and legal framework dedicated to conservation. This commitment is further reinforced by strong political will and a deep‐rooted cultural affinity towards elephants and nature, which fosters a higher degree of tolerance and support for conservation efforts.

Diversity of Odonata in Kirala Kele Sanctuary, Matara District, Sri Lanka

Kirala Kele sanctuary is a wetland ecosystem that is one of the most valuable conservation areas in the Matara. Odonates represent an important role as an indicator species of wetlands and therefore, a study was conducted to explore and investigate the diversity of Odonata species that inhabit Kirala Kele and identify its use as an indicator of environmental management in the area. The study was conducted in selected four different transects (200 m each) which focused on the micro- habitats, and anthropogenic activities. Individuals belonging to different species of dragonflies and damselflies were counted by visual observations and photographs were taken to identify using standard guidebooks. Data collection was carried out from April 2022 to September 2022 once a month from 8.00 am to 10.00 am and 3.00 pm to 5.00 pm. The results showed that there were 27 species of Odonata from 3 different families. Pied Parasol (Neurothemis tullia tullia) and Variegated Flutterer (Rhyothemis variegata variegate) are identified as the most abundant species in the study area. One species namely, Sri Lanka Orange-faced Sprite (Pseudagrion rubriceps ceylonicum) has been recorded as endemic. Species diversity measured within study sites using Shannon wiener index (H‘) and Simpson index (D) indicated that transect A (marshland) H‘-2.08, D-0.82, transect B (paddy fields) H‘-2.08, D-0.82, transect C (canal and cultivation area) H‘-1.25, D-0.48 and transect D (open water and marshland) H‘-1.65, D-0.69, respectively. Based on the study, the overall Shannon wiener index in the study area was 1.95 while Simpson Index (D) was 0.75, which concludes the sanctuary has a considerable diversity of Odonata. The number of dragonfly species and abundance is remarkably higher in transects along the canal, in presence of emergent aquatic reeds and surrounded by paddy fields. Along the transects which are mostly affected by anthropogenic activities such as vegetation clearing and pollution or less anthropogenic activities, but low water levels had a small diversity. The results reveal that the diversity of species depends on several factors like the presence or absence of aquatic habitats, level of human disturbances, presence of emergent aquatic reeds, and degree of pollution. Thus, understanding the diversity and distribution of Odonata in the sanctuary can provide important insight into effective ways to manage the environment, which is often overlooked in biodiversity conservation strategies.
 Keywords: Conservation, Diversity, Kirala Kele, Odonata 

Climate change and the biodiversity of alpine ponds: Challenges and perspectives.

Inland waters are among the most threatened biodiversity hotspots. Ponds located in alpine areas are experiencing more rapid and dramatic water temperature increases than any other biome. Despite their prevalence, alpine ponds and their biodiversity responses to climate change have been poorly explored, reflecting their small size and difficult access. To understand the effects of climate change on alpine pond biodiversity, we performed a comprehensive literature review for papers published since 1955. Through analysis of their geographic distribution, environmental features, and biodiversity values, we identified which environmental factors related to climate change would have direct or indirect effects on alpine pond biodiversity. We then synthesized this information to produce a conceptual model of the effects of climate change on alpine pond biodiversity. Increased water temperature, reduced hydroperiod, and loss of connectivity between alpine ponds were the main drivers of biodiversity geographic distribution, leading to predictable changes in spatial patterns of biodiversity. We identified three major research gaps that, if addressed, can guide conservation and restoration strategies for alpine ponds biodiversity in an uncertain future.

Ecological Study of the Vegetation in the Loka Abaya National Park, Ethiopia

An ecological study of the vegetation in the Loka Abaya National Park, in the Central Rift Valley of Ethiopia, was conducted. Vegetation data and some environmental variables including physical and chemical properties of the soil, altitude, slope, and ecological disturbance were collected and subjected to the agglomerative hierarchical classification and ordination with the canonical correspondence analysis. For each of the community groups, the mean and standard errors were calculated from the environmental parameters to characterize the community types and quantitative relationships between environmental variables were analyzed by calculating Pearson’s product-moment correlation coefficient using the SAS computer software programme. A total of 198 plant species representing 79 families and 139 genera were collected and documented. Seven plant community types, namely, Vachellia brevispica Harms–Rhus natalensis Krauss, Ficus sur Forssk.–Vachellia albida (Del.) A. Chev., Panicum subalbidum Kunth–Cyperus latifolius Poir, Dodonaea angustifolia L. f.–Ximenia americana L., Combretum molle R.Br ex. G.Don–Combretum collinum Fresen., Ilex mitis (L.) Radlk–Olea europaea L. subsp. cuspidata, and Dichrostachys cinerea (L.) Wight & Arn, were identified. Ilex mitis–Olea europaea L. subsp. cuspidata community had the highest species richness, whereas the least species richness was recorded for the Panicum subalbidum–Cyperus latifolius community. The results of vegetation-environment relationships indicated that the measured environmental variables explained 74.99% of the total variation in floristic data. The results of the canonical correspondence analysis (CCA) of community-environment relationships indicated that among measured environmental variables, altitude (r2 0.0548, P<0.01), slope (r2 = 0.0241, P<0.01), pH (r2 = 0.01855, P<0.01), sodium (r2 = 0.01316, P<0.04), CEC (r2 = 0.01424, P<0.03), magnesium (r2 = 0.01282, P<0.04), potassium (r2 = 0.0152, P<0.02), and soil moisture content (SMC) (r2 = 0.01537, P<0.05) significantly explained the variation in species composition of the communities and their distribution. Therefore, ecosystem-oriented biodiversity conservation and restoration strategies will be implemented by considering these significant environmental variables.

Effects of Different Altitudes on Castanopsis hystrix, the Top Community-Building Species in Southern Subtropical China: Rhizospheric Soil Chemical Properties and Soil Microbiota

Castanopsis hystrix, a dominant canopy species in the subtropical forests of south China, is renowned for its high natural regeneration ability. Therefore, this paper took C. hystrix as the subject of study. Examining the variations in microbial diversity and community composition within the soil rhizosphere of C. hystrix across different elevation gradients, we explored how this community-forming species impacts soil microbial diversity and community structure and how soil microorganisms respond to changes in soil physicochemical properties due to altitude gradients. The results show: (1) soil samples from five altitudes established 1078 fungal OTU and 5595 bacterial OTUs. (2) Basidiomycota and ascomycota are dominant fungal groups in the soil, with Acidobacteria being the predominant bacteria for C. hystrix. (3) As altitude increases, fungal communities’ richness and diversity index peaks at 849 m; for bacterial communities, the richness index peaks at 387 m and the diversity index at 670 m. (4) Total phosphorus (TP), nitrate nitrogen (NO3−-N), hydrolyzed nitrogen (HN), total nitrogen (TN), and organic matter (SOM) are significant environmental factors affecting fungal community structure. At the same time, available potassium (AK) significantly influences the composition of bacterial communities. The study underscores the intricate relationship between altitude, soil properties, and microbial diversity, offering insights into how C. hystrix contributes to ecosystem resilience. Recommendations include enhancing phosphorus supplementation and controlling nitrogen deposition to maintain forest ecological integrity, additionally, the supply of potassium in the soil should also be a key consideration. Further research is necessary to understand the broader implications for biodiversity conservation and adaptive management strategies in the face of climate change.

Tree Species Composition and Diversity in a Secondary Forest along the Sierra Madre Mountain Range in Central Luzon, Philippines: Implications for the Conservation of Endemic, Native, and Threatened Plants

The Sierra Madre Mountain Range (SMMR) is the backbone of the Luzon Islands that contains a high concentration of highly important ecological resources distributed among the 68 protected areas therewith. The present study aimed to assess the composition and diversity of tree species in a secondary forest within the SMMR. A 2.25 km transect with 10 900-m2 plots were established to record tree species with a diameter at breast height of at least 10 cm. The findings revealed 148 individuals of trees from 38 morphospecies, 28 genera, and 20 families. Importance values unveiled the Aurora endemic Macaranga stonei Whitmore as the most important species in terms of the relative values of its abundance, frequency, and dominance. The area was also found to be home to 33 natives, 12 endemics, five IUCN threatened species, and nine Philippine threatened trees. Furthermore, the study site was also found to have considerably high diversity, with a Shannon–Weiner Index value of 3.269 and a relatively even distribution of individuals among species, as supported by the Simpson’s Evenness index value of 0.9453. Significant correlational relationships were also found among species richness, Shannon–Weiner index, and Simpson’s Evenness index, with correlation coefficients ranging from 0.881 to 0.934, with all significant at p < 0.001. Lastly, the study was able to produce a distribution map, which is necessary for implementing targeted conservation strategies. These findings provided valuable implications for future research and implementation of targeted and participatory biodiversity conservation and protection strategies.

Biodiversity Conservation Strategies in Urban Planning and Development – A Review

This paper examines the concept of conserving biodiversity in urban areas by making strategies and plans to help contribute to the development of the same. It explores the role of urban environments, what pressures it puts on biodiversity and helps us envision a pathway towards developing more bio-diverse urban environments that the masses can accept and support

Non‐material contributions of nature expressed by former tourists of Mount Kilimanjaro, Tanzania

Abstract Nature‐based tourism provides an outlet for people to experience non‐material nature's contributions to people (NCP) and can even promote care for nature. Yet, the literature on NCP is still dominated by studies on regulating and material NCP, with limited research on non‐material contributions. Semi‐structured interviews and photo‐elicitation methods were conducted online with 38 former tourists who have hiked Mount Kilimanjaro, Tanzania, to investigate NCP experiences during their hiking journey. Drawing on the guiding principles of the Intergovernmental Panel on Biodiversity and Ecosystem Services (IPBES), an interwoven approach was used to link context‐specific NCP expressed by tourists to the generalizing perspective. Ten context‐specific non‐material NCP emerged including Aesthetic experiences; Learning and life‐changing perspectives; New and unique experiences; and Social cohesion and bonding. All context‐specific NCP were linked back to the generalizing perspective, with most NCP falling under the generalizing category of Physical and psychological experiences. This paper reveals the unique and diverse ways that nature contributes to people's lives, promoting the visibility of multiple perspectives and their incorporation into biodiversity conservation and sustainable management strategies. Through an interwoven approach, NCP can be compared on a universal scale while respecting the context‐specificity of human–nature interactions across different social‐ecological contexts. Read the free Plain Language Summary for this article on the Journal blog.

Global conservation priorities for wetlands and setting post-2025 targets

Wetland conservation is becoming increasingly important as wetland areas decline globally. However, no comprehensive global-scale mapping of wetland conservation priorities and targets has been published. This information is needed to extend the current protected area network and improve the conservation efficiency for wetlands. Here, we propose a cost-effective assessment model for wetland conservation by integrating wetland conservation value- and human impact-related indicators to identify global wetland conservation priorities. These priorities cover 28% of the potential global wetland distribution, and of that, only 44% is currently protected by existing protected areas. To protect more wetland conservation priorities, we propose three target-setting scenarios for protected area expansion that offer additional contributions of 9.40%, 42.40%, and 55.97%, respectively. These three global targets can be downscaled to the national level and used to update national wetland biodiversity conservation strategies and action plans under a harmonized legal and regulatory regime at different scales and jurisdictions.

RESTORATION OF GLOBAL FORESTS AND BIODIVERSITY THROUGH GREEN ENERGY

During the exploration, loss of global forest and biodiversity, climate changes and emissions were evaluated and determined the best ways to restore the world's ecosystem using green energy. The suggested primary land use data were collected and collated forest resources were assessed. Ways of biodiversity conservation strategies and status were evaluated. The GHG emission was inventoried and calculated. Author inferred that primary forest loss in the tropics increased by 10% in 2022, with the Amazon destroyed in 2020. The world's forest cover is decreasing, with significant losses in sub-Saharan Africa and Latin America. The world's total 3 3 growing stock of trees fell slightly from 560 billion m in 1990 to 557 billion m in 2020, with 606 Gt of living biomass and 59 Gt of dead wood. However, biomass per unit area has increased. During the period of incidence of COVID, reduced emissions by 5.2% was noticed. With a mean temperature of 1.11°C, 2021 was one of the seven warmest years on record. The main source of worldwide total GHG emissions from exclusive land use are CO , CH , and N , which account for 2 4 2 72%, 19%, and 6% of emissions respectively while F gases from other sources contribute only 3%. The forest ecosystems absorb 2 billion tons of CO per year, and emissions can be reduced through 2 natural synergies between climate preservation and development, such as increased energy demand and renewable energy