Regional Biodiversity Conservation Research Articles

Quantifying the Ecological Performance of Migratory Bird Conservation: Evidence from Poyang Lake Wetlands in China

Protected areas are essential for the conservation of biodiversity. However, the rapid expansion of urbanization and the intensification of human activities have significantly disrupted environmental integrity, leading to a continuous deterioration in both the quantity and quality of large ecological patches. This has further diminished the connectivity among ecological patches, leading to significant consequences for regional biodiversity conservation. Taking Poyang Lake as a case study, which serves as a crucial wintering habitat for migratory birds along the East Asia–Australasia flyway, this research employs ArcMap technology. It considers various factors including land use type, slope, and elevation to evaluate habitat quality and degradation through the application of the InVEST model. Additionally, the study utilizes the minimum cumulative resistance (MCR) model alongside circuit theory to delineate ecological corridors within the area and to establish a comprehensive ecological network system. The research results in this paper are as follows. (i) During the period from 2000 to 2020, there was an overall decline in habitat quality within the study area, indicating a clear trend of habitat degradation. However, it is worth noting that there was an increase in habitat quality in certain local areas within the protected area. (ii) The ecological resistance values in the core area of the migratory bird reserve in Poyang Lake are generally low. However, the ecological resistance values of the habitats have shown a consistent increase from 2000 to 2020. Additionally, there has been a significant decrease in the density of ecological corridors during this time period. (iii) Over the period from 2000 to 2020, both the number and connectivity of ecological corridors decreased and their integrity and functionality degraded. Consequently, this weakened role of the ecological network has had implications for maintaining regional biodiversity and ecosystem service functions. The findings indicate two conclusions. (i) Ecological connectivity is essential for the conservation of migratory bird habitats. Strengthening control measures aimed at expanding ecological corridors can effectively safeguard flagship and umbrella species, thereby promoting biodiversity conservation. (ii) The establishment of ecological corridors can help reconcile conflicts between conservation efforts and development objectives. This reconciliation carries significant theoretical implications for fostering a harmonious coexistence between humans and birds in Poyang Lake’s migratory bird sanctuary.

Quantifying the biodiversity and ecosystem service outcomes of karst ecological restoration: A meta-analysis of South China Karst

Decades of restoration efforts have greened South China Karst, the largest and most concentrated karst area in the world. However, it is unknown whether and how the observed increase in vegetation coverage could enhance biodiversity and the provision of ecosystem services (ES). In this study, we performed a meta-analysis of 108 studies with 6505 observations to quantify the influence of karst ecological restoration on biodiversity and ES provision and to uncover key factors that may influence restoration outcomes. We found that restored karst lands on average provided 29 % and 18 % higher biodiversity and ES than degraded karst lands, respectively, but 14 % and 29 % lower than intact reference karst lands. However, the outcomes of karst ecological restoration were mediated by restoration strategy, vegetation type, and restoration age. Natural restoration actions often had more positive effects on biodiversity and ES than reconstructive restoration actions. Karst restoration outcomes also increased with the progress of vegetation succession and increasing restoration age. Furthermore, ES outcomes were positively correlated with biodiversity outcomes, demonstrating the importance of incorporating the biodiversity-ecosystem functioning relationship into karst restoration actions. Overall, our study suggests that karst ecological restoration has substantial potential to improve biodiversity and the provision of ES, but restoration outcomes are context-dependent. These findings may inform evidence-based decision making for biodiversity conservation and sustainable development in karst regions, especially with the UN Decade on Ecosystem Restoration 2021–2030 underway.

Aboveground biomass inversion of forestland in a Jinsha River dry-hot valley by integrating high and medium spatial resolution optical images: A case study on Yuanmou County of Southwest China

It is crucial to develop a comprehensive method for estimating the aboveground biomass (AGB) of trees, shrubs, grasslands, and sparse tree areas in ecologically fragile dry, hot valley regions with vertical zonation. Multi-source remote-sensing data can fulfill this requirement, providing help in monitoring the health of ecosystems and providing a basis for regional biodiversity conservation and restoration. Sentinel-2A satellite imagery was used to classify the forests, shrubs, and grasslands in Yuanmou County, Chuxiong Yi Autonomous Prefecture, Yunnan Province, China. The Gaofen-2 satellite (GF-2) was used to extract the canopy width and calculate tree biomass in the valley-type savanna region. These data were combined with remote-sensing factors and measured survey data, and random forest (RF) and extreme gradient boosting (XGBoost) models were used to estimate the biomass. Using GF-2 images to segment sparse tree areas effectively reduced the overestimation of low-resolution remote-sensing images, enabling the AGB of sparse trees to be accurately estimated. The biomass estimations based on the Sentinel-2A images attained coefficient of determination (R2) values of 0.45 and 0.47 for the forest, 0.55 and 0.61 for the shrubs, and 0.32 and 0.37 for the grasslands using RF and XGBoost models, respectively, demonstrating variable effectiveness across vegetation types. In addition, the XGBoost model was more robust than the RF model for all three vegetation types. Our methodology provides scientific support for the sustainable development of ecologically fragile dry, hot valleys and savanna areas.

The Distribution Range of Populus euphratica Oliv. (Salicaceae) Will Decrease Under Future Climate Change in Northwestern China

Climate change has been regarded as a primary threat to biodiversity at local, regional, and global scales. Populus euphratica Oliv. is one of the main constructive species in dryland regions and has a key role in regulating ecosystem processes and services. However, there is a knowledge gap regarding the spatial distribution of habitat suitability of P. euphratica and how it will be affected by future climate change. Based on the distribution records collected from an online database and specialized literature, we applied an optimized MaxEnt model to predict the distribution range of P. euphratica in China under four climate change scenarios (SSP126, SSP245, SSP370, and SSP585) for both current and future (2090s) conditions. We found that (1) future climate change would reduce the adaptability of P. euphratica, resulting in a significant decrease in its distribution area; (2) water availability had the most important effect on P. euphratica distribution; (3) the habitat for P. euphratica would shift northwestward and contract towards lower elevations closer to rivers in the future. These findings can provide a reference for developing long-term biodiversity conservation and management strategies in arid regions.

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.

The Wetlands of Northeastern Algeria (Guelma and Souk Ahras): Stakes for the Conservation of Regional Biodiversity

This in-depth floristic study, conducted from 2019 to 2023 in nine temporary wetlands in the Guelma and Souk Ahras provinces, northeastern Algeria, aims to highlight the natural heritage of the region by analyzing the floristic composition in relation to environmental conditions. To achieve this goal, comprehensive inventories were conducted, revealing the presence of 317 species belonging to 64 botanical families and distributed across 204 genera. The plant diversity at each site was assessed using various biological indices, with a particular focus on the Taxonomic Distinctiveness Index (TDI) to determine the influence of environmental factors such as fires, altitude, overgrazing and agropastoral activities on biodiversity. The results highlighted the dominance of therophytes (43.22%) and the prevalence of the Mediterranean assemblage (66.25%). Moreover, 8.83% of the species were endemic, 1.89% were protected by Algerian legislation and 1.26% were listed on the IUCN Red List. The study identified Priority Conservation Zones (PCA) where the preservation of ponds, particularly MTG, TRC, BTH, and GZE, is crucial. Additionally, floristic and ecological boundaries between ponds were identified, highlighting marked biological similarities between certain pairs and notable isolations, particularly evident in the case of BTH with a significantly high TDI. These results underscore the critical importance of the studied region, emphasizing the need to integrate its floristic biodiversity into conservation efforts to enhance overall ecological integrity.

Plant Diversity Changes and Its Driving Factors of Abandoned Land at Different Restoration Stages in the Middle of the Qinling Mountains

The process of vegetation restoration is often accompanied by significant changes in aboveground plant diversity. To explore the driving mechanism of litter nutrient-soil nutrient-enzyme activity stoichiometry on aboveground vegetation change is of great importance for maintaining regional biodiversity conservation and ecological stability. Taking typical abandoned farmland of different restoration years （1， 8， 16， 31， and 50 a） in the Qinling Mountains as the research object， the variation characteristics of plant community diversity during vegetation restoration were analyzed through field investigation. Litter nutrients， soil nutrients， and the activities of five extracellular enzymes， including β-1，4-glucosidase （BG）， cellobiohydrolase （CBH）， β-1，4-N-acetylglucosaminidase （NAG）， leucine aminopeptidase （LAP）， and acid phosphatase （AP）， were determined. The characteristics of litter nutrients， soil nutrients， and enzyme stoichiometric ratios during vegetation restoration and the driving mechanism of plant diversity changes were discussed. The results showed that the plant community diversity index firstly decreased and then increased with the increase in vegetation restoration years， and the minimum was reached at 16 years after restoration. The results of principal component analysis showed that there were significant differences between total plant community diversity index and litter-soil-enzyme stoichiometric characteristics in different years of vegetation restoration. The plant community diversity index had a strong positive correlation with litter C∶P ratio and litter N∶P ratio but had a negative correlation with soil enzyme C∶P ratio （EEA C∶P）. The results of redundancy analysis showed that soil EEA C∶P had the highest explanation rate of plant diversity changes during vegetation restoration （25.93%）， followed by soil TP （5.94%）， which was the key factor regulating plant diversity changes. In conclusion， plant species and quantity increased significantly in abandoned farmland in the middle part of the Qinling Mountains at the late stage of vegetation restoration. Changes in the soil environment affected microbial metabolic activities and thus changed enzyme activities. Litter-soil-soil extracellular enzymes affected the community environment and plant diversity through feedback and regulation. EEA C∶P and TP were the main driving factors of aboveground plant diversity change during vegetation restoration.

The Ethiopian wolf can act as a flagship and umbrella species to protect the Afroalpine ecosystem and foster sustainable development

SummaryHabitat alteration and climate change are important threats to terrestrial biodiversity in the tropics. Endorsing flagship or umbrella species can help conserve sympatric biodiversity, restore degraded ecosystems and achieve United Nations Sustainable Development Goals (UN SDGs). The Ethiopian wolf (Canis simensis) is a rare and endemic Ethiopian canid. It is Africa’s most endangered canid species and is restricted to several isolated patches of Afroalpine habitats. While its behavioural ecology and conservation biology have been well studied, studies of the Ethiopian wolf’s significance for the conservation of its habitat and sympatric species are lacking. Here we use geographical range overlap and geospatial modelling to evaluate the importance of the Ethiopian wolf as a flagship and/or umbrella species. We assess whether conservation interventions targeting the Ethiopian wolf could help to restore and protect Afroalpine habitat and conserve sympatric species whilst simultaneously providing a wide range of socioeconomic and environmental benefits. We found that Ethiopian wolves share their range with 73 endemic and/or threatened vertebrate species, 68 of which are Afroalpine ecosystem species, and at least 121 endemic and/or threatened plant species. Ethiopian wolves are taxonomically distinctive and charismatic species classified as Endangered on the International Union for Conservation of Nature (IUCN) Red List. Thus, they meet both the flagship and umbrella species criteria to restore Afroalpine habitats and conserve threatened sympatric species. A conservation strategy protecting and restoring Afroalpine habitat has the potential to contribute to achieving at least five of the 17 UN SDGs. The protection of flagship and umbrella species should be integrated into broader regional biodiversity and habitat conservation.

Catalog and distribution atlas of the Scarabaeoidea (Insecta: Coleoptera) of El Salvador

Less than 1% of the literature on El Salvador’s biodiversity is about terrestrial invertebrates, which limits our knowledge of this group’s diversity, richness, and distribution in the territory. Scarabaeoidea are megadiverse in multiple ecosystems and perform many functions. This work aims to catalog the Scarabaeoidea in El Salvador. We conducted an exhaustive review of published literature and reviewed numerous entomological collections with relevant material. Maps were constructed to visualize the known distribution of each species in the country. There are 295 scarab beetle species (including 19 new country records) representing 106 genera in 7 families in El Salvador. Six precinctive species are known. Twenty-two species are discarded as occurring in El Salvador, either because they are not valid species or because of misidentifications or dubious records. This work is the first approach to knowing the Scarabaeoidea in El Salvador, a territory that is usually considered of no importance for the conservation of regional biodiversity due to its small area, high rate of deforestation, and overpopulation. The results of this work reinforce the need for biological prospecting in the territory to know, conserve, and protect the remaining biodiversity.

Identification and prediction of climate factors based on factor analysis and a grey prediction model in China.

Identifying and predicting the impacts of climate change are crucial for various purposes, such as maintaining biodiversity, agricultural production, ecological security, and environmental conservation in different regions. In this paper, we used the surface pressure (SP), surface temperature (ST), 2-m air temperature (AT), 2-m dewpoint temperature (DT), 10-m wind speed (WS), precipitation (PRE), relative humidity (RH), actual evapotranspiration (ETa), potential evapotranspiration (ETP), total solar radiation (TRs), net solar radiation (NRs), UV intensity (UVI), sunshine duration (SD), convective available potential energy (CAPE) as factors in our climate modeling. The spatiotemporal distribution characteristics of the climate factors were analyzed and identified based on historical data for China from 1950 to 2020 using factor analysis and a grey model (GM (1,1)), and their future change characteristics were predicted. The results show that there is a strong correlation between climate factors. ST, AT, DT, PRE, RH, and ETa are the main factors that have the potential to cause heavy rain, thunderstorms, and other severe weather. Meanwhile, PRE, RH, TRs, NRs, UVI, and SD are among the major factors linked to climate change. Specifically, SP, ST, AT, and WS are among the minor factors in most areas. The top ten provinces in terms of combined factor scores are Heilongjiang, Neimenggu, Qinghai, Beijing, Shandong, Xizang, Shanxi, Tianjin, Guangdong, and Henan. The trend of climate factors in China is expected to remain relatively stable over the next 30years, with a noteworthy decrease observed in CAPE compared to the past 71years. Our findings can help to better mitigate the risks associated with climate change and enhance resilience; they also provide a scientific basis for environmental, ecological, and agricultural systems to cope with climate change.

Checklist of national key protected wild plants on the Qinghai-Tibetan Plateau.

Qinghai-Tibetan Plateau is a global biodiversity hotspot due to the unique geographical environment. However, there are few reports on the list of national key protected plants and the distribution pattern of their diversity in this area. Based on the flora and online database, this paper summarised the species diversity and distribution patterns of national key protected wild plants on the Qinghai-Tibet Plateau. The results showed that there were 350 species of national key protected wild plants on the Qinghai-Tibetan Plateau, belonging to 72 families and 130 genera. Amongst them, 22 species were under class I protection, 328 species were under class II protection and 168 species were endemic to China. Its endangered status involves EW 1 species, CR 17 species, EN 90 species, VU 90 species, NT 30 species, LC 60 species and DD 62 species. Species diversity declined gradually from the southeast to the northwest with hotspots located within Sanjiang Valley subregion (ⅢE14a). The list of national key protected wild plants and their diversity and distribution patterns in the Qinghai-Tibetan Plateau can provide basic data for the conservation of regional biodiversity and the formulation of conservation strategies.

Alien flora causes biotic homogenization in the biodiversity hotspot regions of India

Biotic homogenization by invasive alien species is one of the dominant drivers of global environmental change. However, little is known about the patterns of biotic homogenization in global biodiversity hotspots. Here, we fill this knowledge gap by studying the patterns of biotic homogenization and associated geographic and climatic correlates in Indian Himalayan Region (IHR). For this, we use a novel biodiversity database comprising 10,685 native and 771 alien plant species across 12 provinces of the IHR. The database was assembled by screening 295 and 141 studies published from 1934 to 2022 for natives and aliens, respectively. Our results revealed that each native species on average was distributed among 2.8 provinces, whereas the alien species in 3.6 provinces, thereby indicating wider distribution range of alien species in the IHR. The Jaccard's similarity index between the provinces was higher for alien species (mean = 0.29) as compared to natives (mean = 0.16). Addition of alien species pool has homogenized most of the provincial pairwise floras (89.4 %) across the IHR, with greater dissimilarity in their native floras. Our results revealed that the alien species have strong homogenization effect on the provincial floras, regardless of their differences in geographic and climatic distances. The biogeographic patterns of alien and native species richness in the IHR were better explained by a different set of climatic variables, the former by precipitation of driest month and the latter by annual mean temperature. Our study contributes to better understanding of the patterns of biotic homogenization in the IHR and its geographic and climatic correlates. Looking ahead, in an era of Anthropocene, we discuss the wide implications of our findings in guiding biodiversity conservation and ecosystem restoration in global hotspot regions.

Wild pigs and their widespread threat to biodiversity conservation in South America

Wild pigs, including wild boar (Sus scrofa) and feral domestic pig (Sus scrofa domestica), are associated with negative impacts in their native and introduced ranges. We compiled wild pig occurrence reports and utilized Maximum Entropy modelling to predict their potential distribution in ecoregions overlaying Argentina, Brazil, Bolivia, Chile, Uruguay and Paraguay. An analysis of their observed and potential distributions was carried out in relation to four biodiversity hotspots and 3766 protected areas to estimate the number of units and percent area currently and potentially invaded. Among biodiversity hotspots, Atlantic Forest, Cerrado, and Chilean Winter Rainfall-Valdivian Forests included 44.7% of wild pig records. The proportion of suitable area was 85% in Atlantic Forest, 61.3% in Cerrado, 37.5% in Chilean Winter Rainfall-Valdivian Forests, and 5.6% in Tropical Andes. The number of protected areas with known wild pig presence was led by Uruguay (100%), followed by Chile (20.3%), Argentina (15.8%), Paraguay (9.5%), Bolivia (6.5%), and Brazil (4.7%). The proportion of protected areas with predicted wild pig presence was highest in Uruguay (100%), followed by Paraguay (72.6%), Brazil (58.0%), Argentina (57.4%), Chile (42.2%), and Bolivia (35.9%). Our work represents the first assessment of wild pig potential distribution in South America and highlights the potentially devastating impacts of wild pigs on the regional biodiversity and national conservation targets, especially at mega-diverse areas. We present a dynamic web application that can be readily consulted by scientists, managers and decision makers to improve wild pig control and risk mitigation actions in the study region.

Динаміка рівнинних популяцій Symphytum cordatum Waldst. et Kit. ex Willd. у різних умовах росту

Dynamics of isolated lowland populations of the Carpathian subendemic species Symphytum cordatum Waldst. et Kit. ex Willd. at the edge of its range is investigated. They were analyzed as a case study on the prospects of the lowland populations of S. cordatum under different growth conditions. Changes in the individual and group parameters of this species during the 17-year period are studied. Characteristic-markers of endangered state of S. cordatum populations in the mountain and lowland parts of its range are established. They include: low percentage of generative group or its absence, decrease in size and numbers of clones, significant reduction of the population area, considerable decrease in density of ramets and their low biometrical parameters as well as inhibition of vegetative propagation. It was established that population near Brodky village (Stryisky region, Lviv Oblast) exhibited high individual and group parameters during a long period and is capable of expansion, which ensures survival in the long-term perspective. Negative effects of anthropogenous impact on the population of S. cordatum in the city of Lviv are revealed. During the past period the area of the population decreased 3-folds, density of generative ramets, their hight and mass – 2-folds and considerable reduction in the area and number of clones were established as well. During the last years the population has been increasingly affected intensive mowing, trampling and raking which makes it endangered. It was established that small in their area and numbers lowland populations of S. cordatum growing in unfavorable ecological and coenotic conditions are most sensitive to anthropopression. The importance of protection of S. cordatum at the edge of its range is emphasized to provide conservation of regional biodiversity and gene pool of this species. Biotope conservation must be applied for such lowland populations of montane species like S. cordatum, it would prevent disturbance to sensitive small species habitats. This may be provided by creation of local reserves.

Optimizing the Giant Panda National Park's zoning designations as an example for extending conservation from flagship species to regional biodiversity

Informed zoning of protected areas to designate where certain activities can take place is important to their success. The conventional strategy has been to design protected areas based on flagship species; however, this has often proven ineffective for protecting other sympatric wildlife. Here, using China's Giant Panda National Park (GPNP) as an example, we evaluated the effectiveness of integrating multiple conservation parameters for flagship and sympatric endangered species to optimize zoning designations, without compromising or jeopardizing the primary goal of protecting giant pandas. We conducted a stepwise spatial prioritization according to taxonomic, phylogenetic, and functional diversity for 48 endangered bird and 23 mammal species. Conservation priority areas for each taxon were spatially congruent across diversity indices but differed between taxa. Species richness provided only a weak indicator of conservation values. The current designation scheme for giant panda protection performs moderately well in terms of sheltering sympatric endangered birds and mammals, but there is still scope for improvement. After balancing competing land uses, we identified 7731 km2 with the highest conservation values across taxa and diversity indices, with 26 % of this optimal priority area lying outside of current core protection zones of the GPNP. We recommend that GPNP's current zoning designation criteria are modified to conserve a broader range of species alongside giant pandas, especially to better protect sites from human disturbance. Our findings also have the broader potential to inform conservation planning for protected areas worldwide, enabling the protection of flagship species to be integrated with broader regional biodiversity conservation.

Ecological network construction and optimization in Guangzhou from the perspective of biodiversity conservation

Rapid urbanization has resulted in fragmentation and decreased connectivity in urban landscapes, endangering regional biodiversity conservation and high-quality, sustainable development. networks (ENs) construction and optimization is a critical technique to enhance landscape connectivity effectively, promote species interaction and dispersal, and thereby hence urban biodiversity., most existing studies on ENs construction have been undertaken from the perspective of ecosystem service functions or the value of landscape structure, with regional species still being overlooked. on the distribution data of critical species in this study, the maximum entropy model (MaxEnt), wilderness mapping model, and granularity reverse method were integrated to identify ecological sources. the habitat quality (HQ) index was utilized to construct a resistance surface modified by landscape connectivity and ecological sensitivity. findings indicate that: (1) a grid scale of 1700 m is the relatively optimal minimum threshold for ecological source sites in Guangzhou; (2) 35 crucial ecological sources in Guangzhou are identified, with a total area of 1100.42 km2, mainly woodlands, distributed in mountain systems in the northern and central parts of the city; and (3) 59 ecological corridors are identified, with a total length of 817.4 km, with a relatively high density in the central part of the city. some extent, this study offers fresh ideas for constructing urban ENs from the standpoint of biodiversity conservation. contributes to the city achieving a win-win economic development and ecological protection situation.

Spatial patterns of riparian vegetation community composition and diversity along human‐ affected East African highland streams

AbstractRiparian vegetation, which plays important roles in conservation of regional biodiversity and provision of many environmental services, has been severely degraded in East Africa by human activities. To ameliorate this degradation, more knowledge of the vegetation and factors affecting it is required. Thus, effect of land use on the plant community composition, species richness and diversity patterns were investigated along 18 streams in the Gilgle Gibe River catchment, in south‐western Ethiopia, using 100 m2 plots established along transects on both sides of the streams at 35 sampling locations beside land designated as agricultural, forested, mixed vegetation or eucalyptus plantation. The communities in the plots were surveyed and classified by Two‐Way Indicator Species Analysis. In total, 107 vascular plant species belonging to 49 families were recorded. Species richness and diversity were lowest along streams beside agricultural land, which had narrow riparian buffers, and highest along forested streams, which had wider riparian buffers. The communities in the sampling plots were assigned to seven groups. Species richness was positively correlated buffer width (r = 0.74, p < 0.01). The results highlight the human influence on riparian vegetation and the importance of sustainable management that is compatible with its conservation and restoration. However, to address the severity and complexity of forest fragmentation, conservation strategies must embrace a multi‐site, contextual approach.

Species-level dataset is required for setting biodiversity conservation priorities for freshwater macroinvertebrates in Melbourne streams

Family-level identification of freshwater macroinvertebrates is often used to monitor the health of streams due to the lower cost and higher accuracy of identification compared to identifying species. While data on the presence of families from stream monitoring programs can also be used for biodiversity conservation planning, the ability of family-level datasets to accurately reflect regional biodiversity patterns for freshwater macroinvertebrates in Australia remains untested. This study compares family-level and species-level datasets for freshwater insects identified using morphological features and collected over 16 years from 140 sites in Greater Melbourne, Australia. Similar to the results of other studies, our results show a strong positive relationship between family- and species-level taxon richness. However, using the planning software Marxan to compare conservation priorities in our study region, we found that a data analysis of the family-level dataset underestimated the minimum sampling effort required to accurately reflect species diversity. It also identified sub-optimal conservation priority sites and overlooked regionally rare species. We recommend that aquatic macroinvertebrate monitoring programs aimed at understanding regional biodiversity patterns and conservation priorities should routinely include species-level identification, which is now becoming feasible with advances in molecular methods.

Monitoring studies of habitats of rare species and tree-dwelling insects in the Emerald Network sites

The pine stands of the Vyshcha Dubechnia State Forestry Enterprise in the Emerald Network sites Kyivske Reservoir UA0000094, Kyivske Podesennia UA0000233, Mizhrichynsky Regional Landscape Park UA0000047 are an important reserve that includes species and habitats of insects that are subject to protection. Most of the existing studies in this area were designed to identify and describe individual habitats, while xylophagous insects were not considered. The purpose of the research was to identify rare and endangered species of tree-dwelling insects in unique natural complexes. The research methods included reconnaissance surveys to determine the species composition of insects and their density. The surveys were conducted in 2020-2022, covering 33 plots with a total area of 50.5 hectares. The monitoring was performed through regular surveys of the territories, during which rare species listed in the Red Data Book of Ukraine and the Berne Convention resolution were identified. A desktop analysis of forestry materials was conducted. Rare species of insects subject to protection are encountered, but outside the areas where monitoring observations were conducted. These are mainly water, marsh, meadow lands, etc. Accounting for stem pests such as Scolytinae (small pine engraver Tomicus minor and pine shoot beetle Tomicus piniperda), Buprestidae (steelblue jewel beetle Phaenops cyanea) and Cerambycidae (pine sawyer Monochamus galloprovincialis and timberman beetle Acanthocinus aedilis). The identified populations of xylophagous insects are described as low to medium density, occurring only on very weakened trees, and species such as Chrysobothris affinis, Cerambyx scopolii, and Scolytus ratzeburgi are rare. The results of the study will serve as an informational base for the development of regional biodiversity conservation programs and the implementation of mechanisms for the sustainable use of forest resources

Urban Avian Conservation Planning Using Species Functional Traits and Habitat Suitability Mapping

Urbanization adversely impacts biodiversity by reducing the quantity and quality of natural habitat areas. Additionally, the quality of natural habitat depends on its bio-physical characteristics (e.g., natural cover, impervious surfaces, urban tree canopy) as well as the functional traits of species inhabiting them (e.g., breeding/foraging habitat requirements). To better plan conservation of regional biodiversity in urbanized landscapes, it is therefore critical to assess the relationship between the landscape and the response of key Functional Trait Groups (FTGs) of species. To identify different FTGs of 116 avian species in the urbanized landscape of the Toronto region (Canada), we conducted a Functional Trait Analysis (FTA) using RLQ-fourth corner analysis. We focused on four species traits (diet, foraging, nesting, and territoriality) to identify the FTGs and their association with natural cover and landscape characteristics (landcover types, patch quality, habitat connectivity). Then, to predict FTG presence in relation to the landscape characteristics, we performed a Habitat Suitability Analysis (HSA). From this analysis, we found 21 avian FTGs with different habitat suitability values that correspond to forested patches and wetlands. The HSA for tree canopy, forest insectivore, and ground-nesting birds (or FTGs) have higher suitability values within forest patches, while aerial insectivores have higher suitability values in older residential neighborhoods indicating the value of the urban tree canopy. This methodological approach shows that by mapping habitat suitability by FTG one can identify strategic conservation areas that target multiple species, shifting efforts from a single species to a community-based functional focus. Our study highlights the conservation value of remnant and/or restored habitat patches in near urban and urban landscapes that help to maximize the persistence of regional avian biodiversity.