Ecosystem Research Research Articles

The ABoVE L-band and P-band airborne synthetic aperture radar surveys

Abstract. Permafrost-affected ecosystems of the Arctic–boreal zone in northwestern North America are undergoing profound transformation due to rapid climate change. NASA's Arctic Boreal Vulnerability Experiment (ABoVE) is investigating characteristics that make these ecosystems vulnerable or resilient to this change. ABoVE employs airborne synthetic aperture radar (SAR) as a powerful tool to characterize tundra, taiga, peatlands, and fens. Here, we present an annotated guide to the L-band and P-band airborne SAR data acquired during the 2017, 2018, 2019, and 2022 ABoVE airborne campaigns. We summarize the ∼80 SAR flight lines and how they fit into the ABoVE experimental design (Miller et al., 2023; https://doi.org/10.3334/ORNLDAAC/2150). The Supplement provides hyperlinks to extensive maps, tables, and every flight plan as well as individual flight lines. We illustrate the interdisciplinary nature of airborne SAR data with examples of preliminary results from ABoVE studies including boreal forest canopy structure from TomoSAR data over Delta Junction, AK, and the Boreal Ecosystem Research and Monitoring Sites (BERMS) area in northern Saskatchewan and active layer thickness and soil moisture data product validation. This paper is presented as a guide to enable interested readers to fully explore the ABoVE L- and P-band airborne SAR data (https://uavsar.jpl.nasa.gov/cgi-bin/data.pl).

Evaluation of the simulation performance of WRF-Solar for a summer month in China using ground observation network data

Solar energy is a pivotal clean energy source in the transition to carbon neutrality from fossil fuels. However, the intermittent and stochastic characteristics of solar radiation pose challenges for accurate simulation and prediction. Accurately simulating and predicting solar radiation and its variability are crucial for optimizing solar energy utilization. This study conducted simulation experiments using the WRF-Solar model from 25 June to 25 July 2022, to evaluate the accuracy and performance of the simulated solar radiation across China. The simulations covered the whole country with a grid spacing of 27 km and were compared with ground observation network data from the Chinese Ecosystem Research Network. The results indicated that WRF-Solar can accurately capture the spatiotemporal patterns of global horizontal irradiance over China, but there is still an overestimation of solar radiation, and the model underestimates the total cloud cover. The root-mean-square error ranged from 92.83 to 188.13 Wm−2 and the mean bias (MB) ranged from 21.05 to 56.22 Wm−2. The simulation showed the smallest MB at Lhasa on the Qinghai–Tibet Plateau, while the largest MB was observed in Southeast China. To enhance the accuracy of solar radiation simulation, the authors compared the Fast All-sky Radiation Model for Solar with the Rapid Radiative Transfer Model for General Circulation Models and found that the former provides better simulation.摘要准确模拟和预测太阳辐射及其变化对于优化太阳能利用至关重要. 本研究使用WRF-Solar模式对中国2022 年 6 月 25 日至 7 月 25 日的太阳辐射情况进行了深入模拟, 模式网格水平分辨率为27 km, 通过与中国生态系统研究网络 (CERN) 的地面观测网络数据的37个观测站点进行对比, 以评估模式性能. 结果表明: WRF-Solar模式能较好地捕捉到中国上空的辐照度GHI (Global Horizontal Irradiance) 的时空分布特征, 但存在高估太阳辐射量, 以及低估总云量的情况. 全国的总辐射模拟均方根误差范围为92.83–188.13 W m−2, 平均偏差范围为21.05–56.22 W m−2. 青藏高原拉萨站的偏差最小, 在中国东南部的偏差最大. 为了进一步提升太阳辐射模拟的精确度, 本研究还对比了FARMS与RRTMG辐射方案, 发现FARMS方案的模拟精度更高.

A design theory for data quality tools in data ecosystems: Findings from three industry cases

Data ecosystems are a novel inter-organizational form of cooperation. They require at least one data provider and one or more data consumers. Existing research mainly addresses generativity mechanisms in this relationship, such as business models or role models for data ecosystems. However, an essential prerequisite for thriving data ecosystems is high data quality in the shared data. Without sufficient data quality, sharing data might lead to negative business consequences, given that the information drawn from them or services built on them might be incorrect or produce fraudulent results. We tackle this issue precisely since we report on a multi-case study deploying data quality tools in data ecosystem scenarios. From these cases, we derive generalized prescriptive design knowledge as a design theory to make the knowledge available for others designing data quality tools for data sharing. Subsequently, our study contributes to integrating the issue of data quality in data ecosystem research and provides practitioners with actionable guidelines inferred from three real-world cases.

Unveiling the hidden world: exploring aquatic invertebrates and ecosystems

As the gentle ripples of our aquatic realms caress the shores of scientific discovery, there lies a mesmerizing world waiting to be unveiled—a realm teeming with life, complexity, and ecological marvels. Within this realm, where the seemingly small and insignificant hold the keys to vast ecological mysteries, Aquatic Invertebrates and Ecosystem Research (AIER) stands as a beacon, illuminating the depths of our understanding. Edited by a consortium of passionate experts, AIER serves as the sacred codex of aquatic invertebrate science, offering a sanctuary for the dissemination of high-quality, original research that spans the breadth of this captivating field. From taxonomy and systematics to climate change impacts and socio-ecological systems, every page of AIER echoes with the symphony of scientific inquiry, inviting readers to embark on a journey of exploration and enlightenment. At the heart of AIER's mission lies a commitment to unraveling the intricate tapestry of aquatic ecosystems—a mission that resonates with the ethos of the publisher. With unwavering dedication, AIER strives to publish papers that delve into the nuances of ecology and behavior, the intricacies of physiological adaptations, and the profound implications of biodiversity conservation.

Empowering migrant women's entrepreneurship: stakeholder perspectives from the entrepreneurial ecosystem

PurposeEntrepreneurial ecosystems (EEs) research has focused on high-growth scale-up entrepreneurship, whereas the role of EEs in nurturing the ventures of marginalised groups like migrant women entrepreneurs (MWEs) has often been elided from extant discussions. This research explores how the EE's structure, policies and programmes advance diversity, equity and inclusion to foster MWEs, and MWEs' contribution to the dynamics and sustainability of the host country's EE based on EE actors' perspectives. We contribute to EEs' diversity, equity and inclusion, which are important but neglected social aspects of sustainable EEs.Design/methodology/approachThe qualitative data was collected through thematic interviews with EE actors, including NGOs and entrepreneurial support-providing organizations based in Finland. The collected data was complemented by interviews with MWEs, archival data and published supplementary materials on ecosystem actors.FindingsEE structure, policies, programmes and individual agency, coupled with MWEs' proactivity in lobbying the necessary actors in the required places for their interests, enhance their businesses' development. There were both impeding and fostering dynamics, which may have idiographic and contextual features. Evidently, by being occupied in various sectors, from science, technology, engineering and mathematics (STEM) to socially beneficial niche service sectors, MWEs contribute to the host country's EE dynamics not only through their productive entrepreneurship but by enriching the ecosystem's resource endowments and institutional arrangements.Originality/valueWe argue that exploring the gender and inclusivity aspects of EEs as the accommodating context is particularly relevant, given that the United Nation's sustainable development goals 5, 8 and 10 aim to improve women's empowerment at all levels, promoting sustained, inclusive and sustainable economic growth, and ensuring equal opportunities and reduced inequalities within the population. Inclusion and embeddedness in EEs positively affect diversity and sustainability in the host country. Theoretically, our contribution is twofold. First, by exploring female migrants' entrepreneurial experiences within the EE based on EE actors' perspectives, we broaden the research on inclusivity in EEs and gender aspects and enrich the research on their societal impact, which has received scant attention from scholars. More specifically, we contribute to EE research with (1) a novel understanding of MWEs and EE elements, their interconnections and dynamism, (2) identifying previously ignored elements shaping MWE and (3) providing EE actor insights into the co-creation of EE for MWE. Second, by analysing the impact of MWEs' businesses on the host country's EE, we contribute to calls for research on MWE contributions to its economic environment.

A Benchmark Data Set for Long-Term Monitoring in the eLTER Site Gesäuse-Johnsbachtal

This paper gives an overview over all currently available data sets for the European Long-term Ecosystem Research (eLTER) monitoring site Gesäuse-Johnsbachtal. The site is part of the LTSER platform Eisenwurzen in the Alps of the province of Styria, Austria. It contains both protected (National Park Gesäuse) and non-protected areas (Johnsbachtal). Although the main research focus of the eLTER monitoring site Gesäuse-Johnsbachtal is on inland surface running waters, forests and other wooded land, the eLTER whole system (WAILS) approach was followed in regard to the data selection, systematically screening all available data in regard to its suitability as eLTER’s Standard Observations (SOs). Thus, data from all system strata was included, incorporating Geosphere, Atmosphere, Hydrosphere, Biosphere and Sociosphere. In the WAILS approach these SOs are key data for a whole system approach towards long term ecosystem research. Altogether, 54 data sets have been collected for the eLTER monitoring site Gesäuse-Johnsbachtal and included in the Dynamical Ecological Information Management System – Site and Data Registry (DEIMS-SDR), which is the eLTER data platform. The presented work provides all these data sets through dedicated data repositories for FAIR use. This paper gives an overview on all compiled data sets and their main properties. Additionally, the available data are evaluated in a concluding gap analysis with regard to the needed observation data according to WAILS, followed by an outlook on how to fill these gaps.

Coastal Eukaryotic Plankton Diversity of the Southern Adriatic as Revealed by Metabarcoding

Plankton studies serve as a basis for marine ecosystem research, but knowledge of marine plankton is still incomplete due to its extreme taxonomic and functional complexity. The application of metabarcoding is very valuable for the characterisation of the plankton community. The plankton community of the Southern Adriatic is subject to strong environmental fluctuations and changes, which underlines the need for frequent, reliable and comprehensive characterisation of the plankton. The aim of this study was to determine the taxonomic composition and seasonal distribution of eukaryotic plankton in the Southern Adriatic. Plankton samples were collected monthly for one year at the coastal station of the Southern Adriatic and metabarcoding was used for taxonomic identification. The results showed a high taxonomic diversity and dynamic seasonal distribution patterns for both the protist and metazoan plankton communities. Metabarcoding revealed both the core, year-round plankton community and previously unrecorded plankton organisms in the Southern Adriatic. The results provide for the first time a comprehensive overview of the plankton community in this area by metabarcoding. The identified seasonal patterns of plankton genera and species in the Southern Adriatic will contribute to the understanding of plankton interactions and future changes in community diversity characterisation.

An updated checklist of serpentinophytes for research and conservation in ultramafic ecosystems on the southern Iberian Peninsula (Spain)

AbstractAlthough checklists are essential tools for managing and conserving ultramafic ecosystems, no updated checklist currently exists for ultramafic ecosystems on the southern Iberian Peninsula. Thus, the objectives of our study were (1) to create an updated checklist of serpentinophytes on southern Iberian Peninsula, (2) to determine whether the distribution of serpentinophytes is associated with certain specific types of ultramafic rocks, and (3) to calculate the abundance and richness of serpentinophytes per outcrop to guide conservation efforts. Following a methodology involving field work and searches of bibliographies and herbaria we produced an updated checklist containing 28 serpentinophytes (i.e., 23 obligates, one preferential taxon, one sub‐serpentinophyte, and three regional serpentinophytes). The serpentinophytes showed different petrological affinity, where harzburgite–lherzolite and harzburgite–pyroxenite–dunite exhibited higher occupancy, possibly due to their mineralogical and chemical composition (e.g., containing heavy metals) and/or the larger surface area of those outcrops. We also observed that the occupancy of 21 species was higher in different petrographic entities, the reasons for which could be elucidated by future soil analyses. The highest richness of serpentinophytes was found in the main outcrop of Bermeja, followed by smaller outcrops of Alpujata, Aguas, and Guadalhorce Valley. Although the richness of Aguas resembled that of Alpujata, a notable difference emerged in some of its areas owing to bioclimatic and biogeographic isolation. Given the exclusive presence of serpentinophyte flora on the southern Iberian Peninsula, all southern Iberian outcrops should receive some form of conservation as protected natural spaces.

Annual ring widths in the arctic-alpine dwarf-shrub species Betula Nana — Dataset from long-term alpine ecosystem research in Central Norway (LTAER-NO)

Here we present a Data Paper with microscopically measured data on ring widths of the arctic-alpine dwarf shrub species Betula nana L. from Central Norway. We intend to continuously update the dataset in the future with further ring width measurements of this widespread shrub species.

Methane sink of subterranean space in an integrated atmosphere-soil-cave system

CH4 serves as an important greenhouse gas, yet limited knowledge is available in global and regional CH4 cycling, particularly in widely distributed karst terrain. In this study, we investigated an upland in Puding Karst Ecosystem Research Station, and explored CH4 concentration and/or flux in atmosphere, soil and cave using a closed static chamber method and an eddy covariance system. Meanwhile, we monitored atmospheric temperature, precipitation, temperature and wind velocity in the cave entrance. The results demonstrated that atmospheric CH4 and actual soil CH4 fluxes in the source area of eddy covariance system were −0.19 ± 8.64 nmols−1m−2 and -0.16 nmols−1m−2 respectively. The CH4 concentrations in Shawan Cave exhibited 10 ∼ 100-fold lower than that of the external atmosphere. CH4 oxidation rate dominated by methane-oxidizing bacteria was 1.98 nmols−1m−2 in Shawan Cave when it combined with temperature difference between cave and external atmosphere. Therefore, CH4 sink in global karst subterranean spaces was estimated at 106.2 Tg CH4 yr−1. We supplemented an understanding of CH4 cycling paths and fluxes in karst terrain, as well as CH4 sinks in karst subterranean space. Further works require to establish a karst ecosystem observation network to conduct long-term integrated studies on CH4 fluxes regarding atmosphere, soils, plants and caves.

Comparison and Evaluation of Five Global Land Cover Products on the Tibetan Plateau

The Tibetan Plateau (TP) region contains maximal alpine grassland ecology at the mid-latitudes. This region is also recognized as an ecologically fragile and sensitive area under the effects of global warming. Regional climate modeling and ecosystem research depend on accurate land cover (LC) information. In order to obtain accurate LC information over the TP, the reliability and precision of five moderate/high-resolution LC products (MCD12Q1, C3S-LC, GlobeLand30, GLC_FCS30, and ESA2020 in 2020) were analyzed and evaluated in this study. The different LC products were compared with each other in terms of areal/spatial consistency and assessed with four reference sample datasets (Geo-Wiki, GLCVSS, GOFC-GOLD, and USGS) using the confusion matrix method for accuracy evaluation over the TP. Based on the paired comparison of these five LC datasets, all five LC products show that grass is the major land cover type on the TP, but the range of grass coverage identified by the different products varies noticeably, from 43.35% to 65.49%. The fully consistent spatial regions account for 43.72% of the entire region of the TP, while, in the transition area between grass and bare soil, there is still a large area of medium-to-low consistency. In addition, a comparison of LC datasets using integrated reference datasets shows that the overall accuracies of MCD12Q1, C3S-LC, GlobeLand30, GLC_FCS30, and ESA2020 are 54.29%, 49.32%, 53.03%, 53.73%, and 60.11%, respectively. The producer accuracy of the five products is highest for grass, while glaciers have the most reliable and accurate characteristics among all LC products for users. These findings provide valuable insights for the selection of rational and appropriate LC datasets for studying land-atmosphere interactions and promoting ecological preservation in the TP.

The role of rhizosphere phages in soil health.

While the One Health framework has emphasized the importance of soil microbiomes for plant and human health, one of the most diverse and abundant groups-bacterial viruses, i.e. phages-has been mostly neglected. This perspective reviews the significance of phages for plant health in rhizosphere and explores their ecological and evolutionary impacts on soil ecosystems. We first summarize our current understanding of the diversity and ecological roles of phages in soil microbiomes in terms of nutrient cycling, top-down density regulation, and pathogen suppression. We then consider how phages drive bacterial evolution in soils by promoting horizontal gene transfer, encoding auxiliary metabolic genes that increase host bacterial fitness, and selecting for phage-resistant mutants with altered ecology due to trade-offs with pathogen competitiveness and virulence. Finally, we consider challenges and avenues for phage research in soil ecosystems and how to elucidate the significance of phages for microbial ecology and evolution and soil ecosystem functioning in the future. We conclude that similar to bacteria, phages likely play important roles in connecting different One Health compartments, affecting microbiome diversity and functions in soils. From the applied perspective, phages could offer novel approaches to modulate and optimize microbial and microbe-plant interactions to enhance soil health.

Global impact of urbanization on ecosystems: A comprehensive bibliometric analysis

This paper demonstrates a comprehensive assessment of bibliometric analysis of published research on the global impact of urbanization on environmental consequences. Scopus database was used to collect data on the global impact of urbanization on ecosystem research from 2000 to 2023 and scrutinizes the progression of publications, keyword analysis, co-citation of authors, citation of documents, co-authorship of authors, and most efficient and influential authors, countries, and institutions. A total of 4322 research papers (journals) were published during the period (2000–2023). This bibliometric study was carried out with the Vos Viewer software. The study's findings demonstrate that the number of publications has continuously increased between 2000 and 2023. In 2020 and 2022, there were 396 and 635 publications, respectively. The top three influential journals in terms of citations are Remote Sensing of Environment (2415 citations), Ecological Economics (1456 citations), and PLoS (1410). From 2000 to 2023, the most often appearing terms were urbanization (3028), urban area (1111), people (853), land use (769), environmental monitoring (594), environmental effect (570), sustainable development (567), and climate change (534). We created a time series with four periods (2000–2005, 2006–2011, 2012–2017, and 2018–2023) based on the periodic changes, which also shows the trend. In more specific terms, this study demonstrates not just a logical structure but also the development of keywords throughout time. The empirical evidence also shows that while this field initially focused on a few themes, it has since broadened to include the many aspects of urban sustainability. This analysis also identifies the most efficient and influential authors, institutions, and nations in terms of total publishing (TP), proportion of cited publications (PCP), total citation (TC), h-index, and g-index. Yang K is the most prominent author, China and the United States are the most efficient nations, and the Chinese Academy of Science is the most powerful organization. The top two nations by co-authorship are China (40 ​695 citations and 1527 publications) and the United States (41 ​119 citations and 833 publications). Additionally, it is noted that while environmental concerns continue to dominate, basic socioeconomic problems like equality, justice, and public participation are underrepresented. Sustainable development indicators, energy, ecologically friendly infrastructure, water, the use of land, and urban planning are prominent subject topics, with the first three exerting a larger influence in shaping the field's growth. This research may be utilized as a resource for people intrigued in learning more about the evaluation of urban sustainability and its advancement.

2011–2015年东洞庭湖洲滩典型植物群落样方调查数据集

The fixed sample plot investigation obtains the dynamic characteristics of ecosystem through long-term data accumulation and accurate space-time comparison, which provides a solid basis for long-term ecosystem research. In accordance with the unified monitoring specifications set forth by the Chinese Ecosystem Research Network (CERN), Dongting Lake Wetland Ecosystem Research Station conducts long-term positioning monitoring on the species composition and community characteristics of typical beach vegetation in the wetland ecosystem in response to the changing hydrological conditions of Dongting Lake. We processed the data of long-term monitoring sample plots of three typical wetland plant communities (Carex sp, Miscanthus lutarioriparius and Polygonum hydropiper) in Dongting Lake to obtain the dataset of sample survey of typical plant communities on East Dongting Lake beach from 2011 to 2015. This dataset covers a total of 14 indicators, including species name, Latin name, number of plants (clusters) (plants or clusters/quadrats), average height of leaf layer (cm), average height of reproductive branches (cm), coverage (%), phenological period, dominant species, number of plant species, density (plants or clusters/m2), leaf layer height (cm) of dominant species, reproductive branch height (cm) of dominant species, total coverage (%), and total dry weight of aboveground green parts (g/m2). This dataset comes with detailed background information to ensure its consistency across both spatial and temporal dimensions. Moreover, to ensure data accuracy and reliability, the dataset underwent comprehensive quality control throughout the entire process and is subject to expert review and verification. It can serve as an important source of background data for studying the process and succession trends of the beach wetland ecosystem in response to the hydrological conditions of Dongting Lake, and provide data support for vegetation remote sensing monitoring, biodiversity protection, wetland ecological restoration and adaptive management of Dongting Lake.

2011–2015年洞庭湖洲滩群落植物生态型、生活型和生长型组成数据集

Analyzing plant life-forms and ecotypes can provide deep insights into the relationship between plant community structure and environmental conditions, and plant life-forms play an important role in understanding the emergence, development, and succession laws of plant community. An investigation was made on the species life-forms and ecotypes of wetland plants in Dongting lake wetland. In accordance with the unified monitoring specifications of the Chinese Ecosystem Research Network (CERN), the Dongting Lake Wetland Ecosystem Observation and Research Station conducts long-term positioning monitoring on the species composition, species life-forms, growth forms and ecotypes of typical beach vegetation in the wetland ecosystem in response to the changing hydrological conditions of Dongting Lake. The dataset of long-term monitoring conducted on three typical plant communities (Carex sp., Miscanthus lutarioriparius and Polygonum hydropiper) in Dongting Lake wetland has been verified by experts to ensure the accuracy of the data. We then classified and processed the data to obtain the dataset of community composition of plant life-forms, growth forms and ecotypes on Dongting Lake beach (2011–2015). The dataset covers a total of 8 indicators, namely species name, Latin name, life-form, growth form, ecotype according to light intensity, ecotype according to water requirement, ecotype based on soil pH and ecotype according to responses sediment burial. This dataset comes with detailed background information to ensure its consistency across both spatial and temporal dimensions. This dataset comes with detailed background information about site information and site management records to ensure its consistency across both spatial and temporal dimensions. This dataset can provide support for the analysis of the classification of plant life forms and the composition and structure of ecotypes, and serve as valuable reference for further study of vegetation succession in Dongting Lake wetland.

2010–2014年哀牢山亚热带常绿阔叶林土壤呼吸数据集

Subtropical forests, as the largest forest type in China, play an important role in regulating global climate change and maintaining atmospheric carbon balance. The carbon emitted by soil through respiration is the main contributor of atmospheric CO2 levels, so even slight changes in soil carbon pool can significantly affect the concentration of atmospheric CO2. Therefore, at present, the magnitude and dynamic change characteristics of soil carbon storage in subtropical forests are attached great importance to. Ailao Mountain in Yunan Province stands as a crucial region for the distribution of subtropical forests in China. This study used a multichannel automated chamber system to estimate soil respiration in a subtropical evergreen broad-leaved forest ecosystem of Ailao Mountain. Ailao Mountain Station for Subtropical Forest Ecosystem Studies is a national field station and a basic observation station of the Chinese Ecosystem Research Network. We gathered soil respiration data from the subtropical evergreen broad-leaved forest in Ailao Mountain from 2011 to 2014, including soil temperature 5cm (TS), soil moisture content 10cm (SWC) and soil respiration data (RS), organized at daily, monthly and annual scales. This dataset is of great significance in revealing the effects of climate change on soil ecological processes in subtropical evergreen broad-leaved forests. It can facilitate precise evaluation of soil organic carbon emissions and forest ecosystem management, and provide both empirical and theoretical basis for further research on the effects of global changes (e.g. climate warming) on soil respiration components, especially with a focus on soil organic carbon emissions.

Socio-ecological system of the mountainous region: A case study from Georgia

Aim: The research aim to study the change to characteristics of the socio-ecological system of the mountain regions of Georgia. Methodology: Research methods included geographic, cartographic, ecosystem, and landscape research methodology, landscape-ecological analysis and synthesis methods, and social-ecological systems concepts. Results: The results showed the following: Ecological characteristics of medium and high mountain natural landscapes and ecosystems within the Central Caucasus (Georgia's historical-geographical province of Pshav-Khevsureti); Main forms of cultural landscape, their economic and social values of the mountain region; Environmental protection of the local population, ethics and environmental history and the ecological, economic, and social culture of the population of the mountain region. Interpretation: In the mountainous regions of Georgia, there is a high potential for creating cultural landscapes, based on the results of the long-term and effective interdependence of man and nature. Cultural landscapes, depending on their importance, will further increase the sustainability of the socio-ecological system of mountainous regions. Key words: Cultural landscape, Ecological culture, Georgia, Mountainous regions, Socio-ecological syste

What evidence exists on birds and mammals' biodiversity in the Brazilian Atlantic Forest (BAF) agricultural ecosystems? A systematic map protocol

BackgroundBrazil has one of the planet's greatest biodiversity, with over 20% of the world’s total species. The Brazilian Atlantic Forest (BAF) spans 17 Brazilian states, making it the third-largest biome in Brazil. The BAF is composed of a range of ecological formations, with climatic conditions and landscape diversity that directly contribute to the different structures of the forest. The fragmentation of the original habitats, mainly due to anthropogenic activities, is one of the main causes of biodiversity loss, causing the decline and habitat loss for several species, including birds and mammals. While there has been extensive research on species diversity in forest fragments or protected areas, there is a lack of basic research in agricultural ecosystems. Only 1.5% of the studies on bird occurrence data in the BAF were reported from pasture habitats and 1.4% from exotic tree plantations. To address this gap, the present systematic map protocol aims to carry out a bibliographic survey on the presence of birds and mammals in agricultural landscapes and its adjacent areas of natural vegetation to describe the prevalence of species across different (semi-)natural and anthropogenic habitat types. Collecting this data is important to support environmental management policies to preserve biodiversity in these areas.MethodsWe will conduct a systematic literature review on the biodiversity of birds and mammals in agricultural landscapes within the Brazilian Atlantic Forest as well as adjacent areas of natural vegetation. Our search will cover the following databases, without limiting the year of publication: Web of Knowledge, Scopus, and PubMed. We will also include grey literature such as dissertations and theses, performing the search at the “Biblioteca Digital Brasileira” database. The results will be screened for relevance based on predefined criteria. The screening process will take place in two stages: firstly, the articles will be screened by title and abstract, and then the eligible articles will be screened in full text. Only articles that meet the eligibility criteria will proceed to data extraction. The extracted data will provide the elements to build a systematic map.

Talking About the Smart Home Ecosystem

Smart home ecosystem research involves the connectivity and ecosystem of various technologies, products and services in the smart home field. The study of smart home ecosystem can help to understand the development trend of the field, the ecological pattern of the industry, the direction of technological innovation, as well as market opportunities and challenges.

Integrative research of Mediterranean climate regions: a global call to action

SummaryMediterranean climate regions (hereafter ‘Med-regions’) cover small areas globally but harbour a wide diversity of ecosystems that are under serious threat due to current global climate change. Despite intensive research and conservation efforts in freshwater, marine and terrestrial ecosystems to prevent the consequences of habitat fragmentation, overfishing and changes in fire regimes and heatwaves, there is still no global consensus on how to conserve and manage Med-region ecosystems. We define integrative research as an interdisciplinary approach with common concepts and metrics enabling a better understanding of the general mechanisms underlying ecosystems. Building upon existing literature that promotes integrative research in Med-region ecosystems, we advocate for a more integrative approach that takes into consideration cross-ecosystem generalities and common resilience mechanisms. We propose examples of potential studies for implementing such integrative research, including: (1) integrative research across ecosystems; (2) integrative research across Med-regions; and (3) integrative research across political boundaries. We then offer recommendations for promoting integrative studies, including leveraging biodiversity data, establishing working groups in research syntheses and testing theoretical frameworks. Promoting integrative research in Med-regions would enable and facilitate the roadmap towards a better understanding of Med-region ecosystems’ responses to natural and anthropogenic disturbances and the identification of ecological baselines. We seek to foster future research synergies to identify tipping points across ecosystems and aid in determining desired future conditions in Med-regions globally.