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In order to explore the synergistic relationship and evolutionary patterns between ecological resilience and high-quality economic development in the Yellow River Basin, we first conducted a theoretical analysis of their co-evolution. An evaluation index system for ecological resilience was built based on three dimensions of resistance, adaptability and recovery. Similarly, an evaluation index system for highquality economic development was established based on four dimensions of economic scale, economic efficiency, economic structure and economic sustainability. Using the period from 2012 to 2022 as the study timeframe and the nine provinces (regions) of the Yellow River Basin as the calculation units, the entropy-weight TOPSIS method was employed to measure the annual ecological resilience and high-quality economic development capacity of each province (region). The Haken model was then used to calculate the annual synergy level between ecological resilience and high-quality economic development for each province (region). The results indicate that a) overall ecological resilience in the Yellow River Basin is higher than the capacity for high-quality economic development throughout the study period, showing a steady upward trend. The capacity for high-quality economic development is increased steadily from 2012 to 2019, with slight fluctuations from 2020 to 2022. b) The ecological resilience-high quality economic development composite system of the Yellow River Basin is still at a low-level orderly stage. In the process of their co-evolution, the capacity for high-quality economic development acts as the order parameter, guiding the path and direction of synergistic development and exerting a synergistic enhancement effect on ecological resilience. However, ecological resilience has a slightly inhibitory effect on high-quality economic development. c) The level of synergy between ecological resilience and highquality economic development in the Yellow River Basin shows a steady upward trend during the study period, with a spatial pattern of higher levels in the east and lower levels in the west. The differences in synergy levels among the provinces (regions) are significant before 2018, and are narrowed after 2018. [ABSTRACT FROM AUTHOR]

This response to commentaries by Micah Muscolino, Judith Shapiro, Chris Courtney, and Peter Perdue considers whether An Ecological History of Modern China is too political and not ecological enough or too ecological and not political enough; whether it is biased either in favor of or against the Chinese Communist Party regime; whether ecologically based periodization provides a valuable new perspective on the history of the People's Republic of China; whether ecological change would be better illuminated if viewed at a different scale; and whether valid or useful history can be written primarily using scientific papers available on the internet. [ABSTRACT FROM AUTHOR]

Tropical forests and particularly the Amazon rainforest have been identified as potential tipping elements in the Earth system. According to a dynamical systems theory, a decline in forest resilience preceding a potential shift to a savanna‐like biome could manifest as increasing autocorrelation of biomass time series. Recent satellite records indeed exhibit such a trend and also show larger autocorrelation, indicative of reduced resilience, in drier forest regions. However, it is unclear which processes underlie these observational findings and on which scales they operate. Here, we investigate which processes determine tropical forest resilience in the stand‐alone, state‐of‐the‐art dynamic global vegetation model LPJmL. We find that autocorrelation is higher in dry climates than wet climates (approx. 0.75 vs. 0.2, for a lag of 10 years), which qualitatively agrees with observations. By constructing a reduced version of LPJmL and by disabling and enabling certain processes in the model, we show that (i) this pattern is associated with population dynamics operating on different time scales in different climates and (ii) that the pattern is sensitive to the allocation of carbon to different pools, especially in years of stress. Both processes are highly uncertain, oversimplified or even lacking in most Earth system models. Our results indicate that the observed spatial variations and trends in vegetation resilience indicators may be explained by local physiological and ecological mechanisms alone, without climate–vegetation feedbacks. In principle, this is consistent with the view that the Amazon rainforest is responding to climate change locally and does not necessarily need to approach one large‐scale tipping point, although the latter cannot be ruled out based on our findings. [ABSTRACT FROM AUTHOR]

Predators regulate communities through top‐down control in many ecosystems. Because most studies of top‐down control last less than a year and focus on only a subset of the community, they may miss predator effects that manifest at longer timescales or across whole food webs. In southeastern US salt marshes, short‐term and small‐scale experiments indicate that nektonic predators (e.g., blue crab, fish, terrapins) facilitate the foundational grass, Spartina alterniflora, by consuming herbivorous snails and crabs. To test both how nekton affect marsh processes when the entire animal community is present, and how prior results scale over time, we conducted a 3‐year nekton exclusion experiment in a Georgia salt marsh using replicated 19.6 m2 plots. Our nekton exclusions increased densities of plant‐grazing snails and juvenile deposit‐feeding fiddler crab and, in Year 2, reduced predation on tethered juvenile snails, indicating that nektonic predators control these key macroinvertebrates. However, in Year 3, densities of mesopredatory benthic mud crabs increased threefold in nekton exclusions, erasing the tethered snails' predation refuge. Nekton exclusion had no effect on Spartina biomass, likely because the observed mesopredator release suppressed grazing snail densities and elevated densities of fiddler crabs, whose burrowing alleviates soil stresses. Structural equation modeling supported the hypotheses that nektonic predators and mesopredators control invertebrate communities, with nektonic predators having stronger total effects on Spartina than mud crabs by controlling densities of species that both suppress (grazers) and facilitate (fiddler crabs) plant growth. These findings highlight that salt marshes can be resilient to multiyear reductions in nektonic predators if mesopredators are present and that multiple pathways of trophic control manifest in different ways over time to mediate community dynamics. These results highlight that larger scale and longer‐term experiments can illuminate community dynamics not previously understood, even in well‐studied ecosystems such as salt marshes. [ABSTRACT FROM AUTHOR]

ABSTRACT An ecosystem shifts to an alternative stable state when a threshold of accumulated pressure (i.e. direct impact of environmental change or human activities) is exceeded. Detecting this threshold in empirical data remains a challenge because ecosystems are governed by complex interlinkages and feedback loops between their components and pressures. In addition, multiple feedback mechanisms exist that can make an ecosystem resilient to state shifts. Therefore, unless a broad ecological perspective is used to detect state shifts, it remains questionable to what extent current detection methods really capture ecosystem state shifts and whether inferences made from smaller scale analyses can be implemented into ecosystem management. We reviewed the techniques currently used for retrospective detection of state shifts detection from empirical data. We show that most techniques are not suitable for taking a broad ecosystem perspective because approximately 85% do not combine intervariable non‐linear relationships and high‐dimensional data from multiple ecosystem variables, but rather tend to focus on one subsystem of the ecosystem. Thus, our perception of state shifts may be limited by methods that are often used on smaller data sets, unrepresentative of whole ecosystems. By reviewing the characteristics, advantages, and limitations of the current techniques, we identify methods that provide the potential to incorporate a broad ecosystem‐based approach. We therefore provide perspectives into developing techniques better suited for detecting ecosystem state shifts that incorporate intervariable interactions and high‐dimensionality data. [ABSTRACT FROM AUTHOR]

Cemeteries are often overlooked in ecological studies, yet they represent unique urban microhabitats that contribute to the preservation of diverse plant species, including those adapted to various ecological niches. This study aimed to assess the species composition, ecological classifications, and abundance of vascular plants in the cemetery and surrounding areas to explore cemeteries' role in conserving plant ecobiomorph diversity in arid climates. This study identified 79 plant species from 23 families within the cemetery compared with 31 species from 11 families in the surrounding area. The plant community in the cemetery was dominated by mesophytes, suggesting favorable and stable conditions for plant growth, while xerophytes were more common in the surrounding areas, indicating harsher, drier conditions. The diversity of plant life forms, including perennial herbs, shrubs, and trees, was significantly higher within the cemetery, indicating a more complex and resilient ecosystem. Our study demonstrates that cemeteries act as vital refuges for plant biodiversity. They offer significantly higher species diversity and more complex ecosystem structures compared with the surrounding areas. These findings emphasize the critical role cemeteries play in urban biodiversity conservation, particularly in increasingly arid environments. [ABSTRACT FROM AUTHOR]

Large grazers modify vegetated ecosystems and are increasingly viewed as keystone species in trophic rewilding schemes. Yet, as their ecosystem influences are context‐dependent, a crucial challenge is identifying where grazers sustain, versus undermine, important ecosystem properties and their resilience.Previous work in diverse European saltmarshes found that, despite changing plant and invertebrate community structure, grazers do not suppress below‐ground properties, including soil organic carbon (SOC). We hypothesised that, in contrast, eastern US saltmarshes would be sensitive to large grazers as extensive areas are dominated by a single grass, Spartina alterniflora. We predicted that grazers would reduce above‐ and below‐ground Spartina biomass, suppress invertebrate densities, shift soil texture and ultimately reduce SOC concentration.We tested our hypotheses using a replicated 51‐month large grazer (horse) exclusion experiment in Georgia, coupled with observations of 14 long‐term grazed sites, spanning ~1000 km of the eastern US coast.Grazer exclusion quickly led to increased Spartina height, cover and flowering, and increased snail density. Changes in vegetation structure were reflected in modified soil texture (reduced sand, increased clay) and elevated root biomass, yet we found no response of SOC. Large grazer exclusion also reduced drought‐associated vegetation die‐off.We also observed vegetation shifts in sites along the eastern US seaboard where grazing has occurred for hundreds of years. Unlike in the exclusion experiment, long‐term grazing was associated with reduced SOC. A structural equation model implicated grazing by revealing reduced stem height as a key driver of reduced soil organic carbon.Synthesis: These results illustrate the context dependency of large grazer impacts on ecosystem properties in coastal wetlands. In contrast to well‐studied European marshes, eastern US marshes are dominated and structured by a single foundational grass species resulting in vegetation and soil properties being more sensitive to grazing. Coastal systems characterised by a single foundation species might be inherently vulnerable to large grazers and lack resilience in the face of other disturbances, underlining that frameworks to explain and predict large grazer impacts must account for geographic variation in ecosystem structure. [ABSTRACT FROM AUTHOR]

The papers presented in this special issue cover a wide range of topics including the impact of climate change on Indian biodiversity through modelling approaches, the resilience of ecosystems to climate-induced shifts, and the role of remote sensing in monitoring forest dynamics. This body of research focuses on various ecological systems, highlighting the consequences of climate change and providing actionable insights for conservation policy and practice. By addressing data gaps, enhancing model precision, and integrating technological advancements like GIS and Earth Observation systems, this research supports the ongoing efforts to conserve biodiversity in fragile ecosystems, such as the Himalaya. Furthermore, studies synthesising and collecting data on India's biodiversity help in understanding patterns of biodiversity and their biotic and abiotic drivers in the country's varied landscapes, which offer valuable perspectives on conservation and sustainable development strategies. By highlighting these diverse research efforts, this special issue seeks to advance our understanding of climate change impacts on biodiversity and foster the development of resilient ecosystems in alignment with the UN Sustainable Development Goals, particularly Goal 13 (Climate Action) and Goal 15 (Life on Land). [ABSTRACT FROM AUTHOR]

Managing forests to sustain their diversity and functioning is a major challenge in a changing world. Despite the key role of understory vegetation in driving forest biodiversity, regeneration and functioning, few studies address the functional dimensions of understory vegetation response to silvicultural management.We assessed the influence of the silvicultural regimes on the functional diversity and redundancy of European forest understory. We gathered vascular plant abundance data from more than 2000 plots in European forests, each associated with one out of the five most widespread silvicultural regimes. We used generalized linear mixed models to assess the effect of different silvicultural regimes on understory functional diversity (Rao's quadratic entropy) and functional redundancy, while accounting for climate and soil conditions, and explored the reciprocal relationship between three diversity components (functional diversity, redundancy and dominance) across silvicultural regimes through a ternary diversity diagram.Intensive silvicultural regimes are associated with a decrease in functional diversity and an increase in functional redundancy, compared with unmanaged conditions. This means that although intensive management may buffer communities' functions against species or functional losses, it also limits the range of understory response to environmental changes.Policy implications. Different silvicultural regimes influence different facets of understory functional features. While unmanaged forests can be used as a reference to design silvicultural practices in compliance with biodiversity conservation targets, different silvicultural options should be balanced at landscape scale to sustain the multiple forest functions that human societies are increasingly demanding. [ABSTRACT FROM AUTHOR]

Soil health is a critical component of nature‐based solutions (NbS), underpinning ecosystem multifunctionality and resilience by supporting biodiversity, improving carbon sequestration and storage, regulating water flow and enhancing plant productivity. For this reason, NbS often aim to protect soil health and restore degraded soil. Robust monitoring of soil health is needed to adaptively manage NbS projects, identify best practices and minimize trade‐offs between goals, but soil assessment is often underrepresented in NbS monitoring programmes. This paper examines challenges and opportunities in selecting suitable soil health metrics. We find that standardization can facilitate widespread monitoring of soil health, with benefits for stakeholders and user groups. However, standardization brings key challenges, including the complexity and local variability of soil systems and the diverse priorities, skills and resources of stakeholders. To address this, we propose a flexible, interdisciplinary approach combining soil science, ecology and socio‐economic insights. We introduce an interactive tool to help users select suitable soil and biodiversity metrics, which are context and scale‐specific, and suggest avenues for future research. We conclude that integrating soil health into NbS through new and improved monitoring approaches, newly available datasets, supportive policies and stakeholder collaboration can enhance the resilience and effectiveness of NbS, contributing significantly to global sustainability goals. [ABSTRACT FROM AUTHOR]

Background: The planting of mangroves is extensively used to control the invasive plant Spartina alterniflora in coastal wetlands. Different plant species release diverse sets of small organic compounds that affect rhizosphere conditions and support high levels of microbial activity. The root-associated microbial community is crucial for plant health and soil nutrient cycling, and for maintaining the stability of the wetland ecosystem. Methods: High-throughput sequencing was used to assess the structure and function of the soil bacterial communities in mudflat soil and in the rhizosphere soils of S. alterniflora, mangroves, and native plants in the Oujiang estuarine wetland, China. A distance-based redundancy analysis (based on Bray–Curtis metrics) was used to identify key soil factors driving bacterial community structure. Results: S. alterniflora invasion and subsequent mangrove afforestation led to the formation of distinct bacterial communities. The main soil factors driving the structure of bacterial communities were electrical conductivity (EC), available potassium (AK), available phosphorus (AP), and organic matter (OM). S. alterniflora obviously increased EC, OM, available nitrogen (AN), and NO3−-N contents, and consequently attracted copiotrophic Bacteroidates to conduct invasion in the coastal areas. Mangroves, especially Kandelia obovata, were suitable pioneer species for restoration and recruited beneficial Desulfobacterota and Bacilli to the rhizosphere. These conditions ultimately increased the contents of AP, available sulfur (AS), and AN in soil. The native plant species Carex scabrifolia and Suaeda glauca affected coastal saline soil primarily by decreasing the EC, rather than by increasing nutrient contents. The predicted functions of bacterial communities in rhizosphere soils were related to active catabolism, whereas those of the bacterial community in mudflat soil were related to synthesis and resistance to environmental factors. Conclusions: Ecological restoration using K. obovata has effectively improved a degraded coastal wetland mainly through increasing phosphorus availability and promoting the succession of the microbial community. [ABSTRACT FROM AUTHOR]

The soil seed bank (SSB) is one of the key mechanisms that ensure the perpetuity of forests, but how will it behave in the scenarios projected for the future climate? Faced with this main question, still little explored in seasonal tropical forests, this study evaluated the germination, ecological attributes, and functional traits of the SSB in a seasonal forest in the Atlantic Forest. Forty‐eight composite samples of the SSB were collected from 12 plots, distributed across four treatments, each with 12 replicates. The samples were placed in two climate‐controlled greenhouses, establishing two environments of controlled climatic conditions, both with two levels of water, as follows: Cur: current scenario without water restriction; Cur_WR: current scenario with water restriction; RCP8.5: future scenario without water restriction; RCP8.5_WR: future scenario with water restriction. The germinants were identified, and their ecological attributes and functional traits were obtained. Leaf area and biomass production, differences in abundance, richness, and diversity were evaluated, along with analysis of variance to assess the interaction between water levels and scenarios. All ecological attributes and functional traits evaluated drastically decreased in the future projection with water restriction, with this restriction being the main component influencing this response. The increased temperature in the future scenario significantly raised water consumption compared to the current scenario. However, persistent water restrictions in the future could undermine the resilience of seasonal forests, hindering seed germination in the soil. Richness and abundance were also adversely affected by water scarcity in the future scenario, revealing a low tolerance to the projected prolonged drought. These changes found in the results could alter the overall structure of seasonal forests in the future, as well as result in the loss of the regeneration potential of the SSB due to decreased seed viability and increased seedling mortality. [ABSTRACT FROM AUTHOR]

Climate change poses significant challenges to ecosystems globally, demanding innovative methods for environmental conservation and restoration. Restoration initiatives require significant amounts of appropriate vegetation that is both adaptive and tolerant to the specific environmental factors. This study introduces an adaptive-vegetation model designed to support ecosystem resilience in the face of climate change. Traditional restoration methods often neglect dynamic environmental conditions and ecosystem interactions, but the model employs real-time data and predictive analytics to adapt strategies to evolving climate variables. The model takes a comprehensive approach, incorporating climate projections, soil health metrics, species adaptability, and hydrological patterns to inform restoration practices. By using a mix of adaptable native species, the model promotes biodiversity. In conclusion, according to the findings of our review, paludiculture and agroforestry could be implemented as models for improving climate resilience, particularly in tropical degraded peat swamp forests. These two models could improve the environment, the economy, and social functions. Finally, improving all three of these factors improves ecological stability. This adaptive-vegetation model represents a significant shift from static, uniform restoration approaches to dynamic, data-driven strategies tailored to specific environments. The future research directions underscore the need for ongoing innovation in conservation practices to safeguard ecosystems amid unprecedented environmental changes. Future efforts will focus on enhancing the model with advanced machine learning techniques and expanding its application to additional ecological contexts. [ABSTRACT FROM AUTHOR]

Hydraulic redistribution (HR) is a common phenomenon in water‐limited ecosystems; however, it remains unclear how the volume of water transported via HR compares to other components of the hydrologic budget and how HR influences water availability for understory plant communities. In this study, we investigate the absolute and relative magnitude of HR on a forest water budget and identify potential impacts of this water subsidy to understory plant communities. We scaled tree‐level estimates of transpiration and HR of three common tree species naturally occurring in a longleaf pine woodland with plot‐level measurements of basal area to determine their magnitude at the stand scale. We trenched plots containing understory vegetation but devoid of mature trees and their connected roots to exclude HR subsidies to understory plant species. We analysed soil water isotopes and assessed leaf water potential (ΨL) in trenched and control plots to determine if HR results in mixing of water among soil strata and improves understory plant moisture status. Water inputs from HR were equivalent to >30% of total rainfall for the site during the observation period and ~40% of total tree water uptake, depending on species. A stable isotope mixing model confirmed that soil water within HR‐exposed plots was more similar to groundwater, whereas soil water within trenched plots was more similar to precipitation. Exclusion of HR via trenching decreased soil moisture and pre‐dawn ΨL for all understory species. These three lines of evidence suggest that HR from overstory trees redistributes a sizable portion of water from deeper to shallower soil profiles and that this water subsidy enhances understory plant water status. [ABSTRACT FROM AUTHOR]

The challenge of managing aquatic connectivity in a changing climate is exacerbated in the presence of additional anthropogenic stressors, social factors, and economic drivers. Here we discuss these issues in the context of structural and functional connectivity for aquatic biodiversity, specifically fish, in both the freshwater and marine realms. We posit that adaptive management strategies that consider shifting baselines and the socio‐ecological implications of climate change will be required to achieve management objectives. The role of renewable energy expansion, particularly hydropower, is critically examined for its impact on connectivity. We advocate for strategic spatial planning that incorporates nature‐positive solutions, ensuring climate mitigation efforts are harmonized with biodiversity conservation. We underscore the urgency of integrating robust scientific modelling with stakeholder values to define clear, adaptive management objectives. Finally, we call for innovative monitoring and predictive decision‐making tools to navigate the uncertainties inherent in a changing climate, with the goal of ensuring the resilience and sustainability of aquatic ecosystems. [ABSTRACT FROM AUTHOR]

Riparian taxa are subject to dynamic, intense, flood‐related stressors, and have evolved traits to persist in this environment. Climate change‐induced intensification of flood regimes pose a threat to these ecosystems, and little is understood about their resilience to this intensification. Following two consecutive major floods (the first flood record‐breaking) along the subtropical coast of eastern Australia in March 2022, we used methods based on persistence (resprouting, seedling recruitment), and floristic structure (height, DBH) and assemblage, to assess the resilience of an old growth riparian rainforest to severe flooding in the 12‐month post‐flooding window. Smallerwoody plants (stems <10 m tall, <30 cm DBH) were the most impacted and were significantly impacted by flooding. Native species richness and plant density (plants/m−2) significantly decreased between before and 3 months post‐flooding, after which they continued to significantly increase to surpass pre‐flood values. Overall, ~35% of taxa exhibited resprouting, ~28% of taxa exhibited seedling recruitment, and ~11% exhibited both resprouting and recruitment. An additional ~21% native taxa were introduced to the site via seedling recruitment, along with 65 invasive species. Model‐based multivariate analysis showed flooding significantly altered community floristics (p = 0.026) at 3 months. At 12 months post‐flooding the community was recovering, becoming more floristically similar to its pre‐flood composition. The riparian rainforest exhibited high resilience to intense flooding. Impact, persistence, and resilience varied amongplots, and the community took 12 months to move into recovery. We found that persistence, and floristic structure and composition weighted against impact were effective measures of ecosystem resilience. In the absence of further consecutive events, mature‐phase riparian rainforests are likely to be structurally and floristically resilient to climate change‐induced amplification of flood regimes. Further studies should build on this framework to include invasive weed species impacts, for a more accurate assessment of impacts. [ABSTRACT FROM AUTHOR]

Ecosystem resilience, the ability of an ecosystem to recover from disturbances, is a critical indicator of environmental health and stability, particularly under the impacts of climate change and anthropogenic pressures. This study focuses on the Three-River Headwater Region (TRHR), a critical ecological area for East and Southeast Asia, often referred to as the "Water Tower of China". We used the Normalized Difference Vegetation Index (NDVI) as a proxy for vegetation growth and productivity and calculated Critical Slowing Down (CSD) indicators to assess the spatiotemporal dynamics of grassland ecosystem resilience in the TRHR from 1984 to 2021. Our research revealed a sustained improvement in ecosystem resilience in the TRHR starting in the late 1990s, with a reversal in this trend observed after 2011. Spatially, ecosystem resilience was higher in areas with greater precipitation and higher vegetation productivity. Temporally, changes in grazing intensity were most strongly correlated with resilience dynamics, with explanatory power far exceeding that of NDVI, temperature, and precipitation. Our study underscores the importance of incorporating ecosystem resilience into assessments of ecosystem function changes and the effectiveness of ecological conservation measures, providing valuable insights for similar research in other regions of the world. [ABSTRACT FROM AUTHOR]

The 2017 Jiuzhaigou earthquake, registering a magnitude of 7.0, triggered a series of devastating geohazards, including landslides, collapses, and mudslides within the Jiuzhaigou World Natural Heritage Site. These destructive events obliterated extensive tracts of vegetation, severely compromising carbon storage in the terrestrial ecosystems. Net Primary Productivity (NPP) reflects the capacity of vegetation to absorb carbon dioxide. Accurately assessing changes in NPP is crucial for unveiling the recovery of terrestrial ecosystem carbon storage after the earthquake. To this end, we designed this study using the Moderate Resolution Imaging Spectroradiometer (MODIS) Net Primary Productivity datasets. The findings are as follows. NPP in the co-seismic landslide areas remained stable between 525 and 575 g C/m2 before the earthquake and decreased to 533 g C/m2 after the earthquake. This decline continued, reaching 483 g C/m2 due to extreme rainfall events in 2018, 2019, and 2020. Recovery commenced in 2021, and by 2022, NPP had rebounded to 544 g C/m2. The study of NPP recovery rate revealed that, five years after the earthquake, only 18.88% of the co-seismic landslide areas exhibited an NPP exceeding the pre-earthquake state. However, 17.14% of these areas had an NPP recovery rate of less than 10%, indicating that recovery has barely begun in most areas. The factor detector revealed that temperature, precipitation, and elevation significantly influenced NPP recovery. Meanwhile, the interaction detector highlighted that lithology, slope, and aspect also played crucial roles when interacting with other factors. Therefore, the recovery of NPP is not determined by a single factor, but rather by the interactions among various factors. The ecosystem resilience study demonstrated that the current recovery of NPP primarily stems from the restoration of grassland ecosystems. Overall, while the potential for NPP recovery in co-seismic landslide areas is optimistic, it will require a considerable amount of time to return to the pre-earthquake state. [ABSTRACT FROM AUTHOR]

While an array of ecological mechanisms has been shown to stabilize natural community dynamics, how the effectiveness of these mechanisms-including both their direction (stabilizing vs. destabilizing) and strength-shifts under a changing climate remains unknown. Using a 35-y dataset (1985 to 2019) from a desert stream in central Arizona (USA), we found that as annual mean air temperature rose 1°C and annual mean precipitation reduced by 40% over the last two decades, macroinvertebrate communities experienced dramatic changes, from relatively stable states during the first 15 y of this study to wildly fluctuating states highly sensitive to climate variability in the last 10 y. Asynchronous species responses to climatic variability, the primary mechanism historically undergirding community stability, greatly weakened. The emerging climate regime-specifically, concurrent warming and prolonged multiyear drought-resulted in community-wide synchronous responses and reduced taxa richness. Diversity loss and new establishment of competitors reorganized species interactions. Unlike manipulative experiments that often suggest stabilizing roles of species interactions, we found that reorganized species interactions switched from stabilizing to destabilizing influences, further amplifying community fluctuations. Our study provides evidence of climate change-induced modifications of mechanisms underpinning long-term community stability, resulting in an overall destabilizing effect.

Corporation operations and other anthropogenic activities threaten global biodiversity and ecosystem services. They also raise financial risks for the sustainability of society. International organizations and initiatives have developed guidelines on the disclosure of nature-positive business practices to support the conservation of biodiversity. However, biodiversity-conserving performances of corporations have yet to undergo a comprehensive assessment, either quantitatively or qualitatively. Here, we analyzed the biodiversity conservation activities, or the evolution of Environmental, Social, and Governance (ESG) management, of the top 200 corporations in South Korea based on their sustainability reports covering years 2017 to 2021. The number of corporations issuing sustainability reports doubled in the five-year period, and over 70% issued sustainability reports in 2022. Based on the 15th Conference of the Parties to the United Nations Convention on Biological Diversity (COP15) Global Biodiversity Framework’s directionality and consistency with the targeted ecosystems, 22% of the corporations reported engagement with biodiversity conservation without substantive outcomes. The methodology developed in this paper can guide major corporations on biodiversity-related disclosures, including those required by the Taskforce on Nature-related Financial Disclosures (TNFD).

The Himalayan region faces escalating challenges due to climate change, particularly dwindling springs leading to water scarcity. This study examines water access, economic well-being, and ecosystem resilience in Sikkim's Himalayan region in India, using the Dhara Vikas initiative (implemented in 2008) as a case study. Fieldwork conducted from 2013 to 2015 surveyed 339 households across eight villages, representing 47.56 % of the total households reliant on approximately 63 perennial springs. The survey revealed significant economic disparities in water usage, with higher consumption among affluent groups at lower altitudes. Only 24.1 % of households had year-round water access, highlighting widespread scarcity. The initiative increased spring discharge by 30–40 %, improved water access, and diversified local economies through poultry and dairy farming. Land use and land cover (LULC) analyses from 1989, 2002, and 2013 indicated positive changes in ecosystem resilience. The study also highlights the paradoxical relationship between spring revival initiatives and increased water demand, linking this to livelihood diversification.A roadmap for spring revival is recommended, integrating nature-based solutions with Sustainable Development Goals (SDGs) and IUCN criteria to ensure effectiveness, biodiversity gains, and economic viability.Conclusions emphasize the need for rigorous data collection, collaborative partnerships, and innovative financing to bolster and expand nature-based solutions, ensuring the resilience of mountain communities amidst climate challenges. Recent extreme events, like the Teesta River flooding and glacial lake outburst floods (GLOF), underscore the urgency of such initiatives. Future research should build on this data to develop climate adaptation strategies.

The milpa system, an ancient Mesoamerican agricultural practice of intercropping, has sustained communities for centuries, providing food security and preserving biodiversity. Despite its agricultural significance, there exists a notable gap in understanding how this system preserves arthropod biodiversity and facilitates trophic interactions within the milpa community. This review aims to explore the milpa system, examining its historical significance, cultural importance, and ecological benefits and interactions, with a particular emphasis on conservation biological control. With a primary focus on Mexico, supplemented by examples from other countries in the Mesoamerican region, we cover the region that stands as the birthplace and cradle of milpa crop domestication. The review delves into the diversity of arthropods associated with common milpa crops, their roles in ecosystem functioning, and the implications for crop productivity and resilience. It also examines the potential of integrating traditional farming practices into modern agriculture to enhance beneficial interactions and mitigate potential pest pressures. By synthesizing current knowledge on arthropod ecology in the milpa system, this review provides insights that can help to promote sustainable agricultural practices rooted in indigenous knowledge and ecological principles.

Rapid land-use changes driven by anthropogenic activities have significantly deteriorated riverine wetland ecosystem health (WEH), underscoring the need for comprehensive ecosystem health assessment. While riverine wetlands play a critical role in sustaining human well-being and conserving endemic biodiversity, limited studies have explored WEH through an integrated lens of ecological factors and human reliance on ecosystem services. This study employs the Vigor-Organization-Resilience-Services (VORS) framework to assess the WEH, using the entropy weighting method to compute the wetland ecosystem health index (WEHI) based on NDVI, landscape metrics, and land-use/land-cover (LULC) coefficient indicators. Applying the framework to the Upper Ganga Riverine Wetland (UGRW) in India, the study examines ecosystem health over two decades (2000–2020). The findings reveal substantial land-use changes during this period, with a 245% increase in built-up and a 41% decline in forest cover. Consequently, the WEHI declined from 0.75 in 2000 to 0.58 in 2020, marking a 23% decrease over the period. All V-O-R-S indicators showed a downward trend, with ecosystem organization (O) showing the steepest decline of 45%, followed by ecosystem services (S) at 18%, ecosystem resilience (R) at 14%, and ecosystem vigor (V) at 8%. These changes reflect the significant impacts of wetland fragmentation and land-use transitions over time. The VORS framework provides a holistic perspective on WEH, offering crucial insights for stakeholders to design effective environmental management strategies. The findings can support policy measures aligned with Sustainable Development Goals (SDGs), prioritizing wetland sustainability and enhancing conservation efforts in fragile riverine ecosystems.

Over the past several decades, increasing climate instability in the Sierra Nevada, California, expressed primarily as reduced winter precipitation and higher temperatures, has led to more frequent drought. High-altitude lakes in this region have been characterized as pristine ecosystems, but growing evidence suggests that they are responding acutely to climate change. To address this, we analyzed the diatom assemblages of two 210Pb dated sediment cores (Gull and June Lakes) from the eastern Sierra Nevada with the aim of assessing their sensitivity to and timing of responses to climate change at the end of the neoglacial (~1450 CE to ~1850 CE) and identifying how climate drivers can impact diatom communities. The nutrient cycles of both lakes have been disrupted by changes in thermal stratification, driven by increasing temperatures, as interpreted from the shift from a Stephanodiscus corruscus dominated ecosystem to a Stephanodiscus minutulus dominance. In this case, the June Lake (the deeper lake) diatom assemblage shifted from an assemblage representative of well mixed conditions to one representative of a stratified system before Gull Lake as a response to increasing temperatures and a strengthened thermocline. We relate the asynchronous change in the thermocline stability to basin morphology, where the deeper lake with a deeper thermocline is more sensitive to increasing temperatures. Further, generalized additive models (GAMs) allowed us to identify the onset of ecological change in both lakes, pointing to the termination of the Little Ice Age (LIA; ~1850 CE), revealing an acute response to changing climate. [ABSTRACT FROM AUTHOR]

Climate change (CC) represents an increasing threat to mangroves worldwide and can amplify impacts caused by local anthropogenic activities. The direct effects of CC on mangrove forests have been extensively discussed, but indirect impacts such as the alteration of ecological processes driven by specific functional groups of the biota are poorly investigated. Ecological roles of key functional groups (FGs) in mangroves from the Atlantic–Caribbean–East Pacific (ACEP) and Indo-West Pacific (IWP) regions are reviewed, and impacts from CC mediated by these FGs are explored. Disruption by CC of ecological processes, driven by key FGs, can reinforce direct effects and amplify the loss of ecological functionality and further degradation of mangrove forests. Biogeochemistry mediator microbiotas of the soil, bioturbators, especially semiterrestrial crabs (Ocypodoids and Grapsoids) and herbivores (crustaceans and Insects), would be the most affected FG in both regions. Effects of climate change can vary regionally in the function of the combination of direct and indirect drivers, further eroding biodiversity and mangrove resilience, and impairing the predictability of ecosystem behaviour. This means that public policies to manage and conserve mangroves, as well as rehabilitation/restoration programs, should take into consideration the pressures of CC in specific regions and the response of key FGs to these pressures. [ABSTRACT FROM AUTHOR]

To maintain the ecosystem resilience to large-scale disturbances in managed forests, it is essential to adhere to the principles of close-to-nature silviculture, adapt practices to the traits of natural forest types, and utilize natural processes, including natural regeneration. This study examines the natural regeneration patterns in silver fir (Abies alba Mill.)-dominated forests, analyzing how the stand structure—tree size diversity, species composition, and stand density—affects the regeneration. We analyze the data from four sites in Poland, Germany, and Italy, employing generalized linear and zero-inflated models to evaluate the impact of the management strategies (even- vs. uneven-aged) and forester-controlled stand characteristics (structural diversity, broadleaf species admixture, and stand density) on the probability of regeneration, its density, and the developmental stages (seedling, small sapling, and tall sapling) across a climatic gradient. Our results indicate a significantly higher probability of regeneration in uneven-aged stands, particularly in areas with lower temperatures and lower overall regeneration density. The tree size diversity in the uneven-aged stands favors advancement from juveniles to more developed stages (seedling to sapling) in places with higher aridity. A denser stand layer (higher stand total basal area) leads to a lower density of natural regeneration for all the present species, except silver fir if considered separately, signifying that, by regulating the stand growing stock, we can selectively promote silver fir. A higher admixture of broadleaf species generally decreases the regeneration density across all the species, except in a water-rich site in the Bavarian Alps, where it had a strong positive impact. These findings underscore the complex interactions of forest ecosystems and provide a better understanding required for promoting silver fir regeneration, which is essential for a close-to-nature silviculture under climate change. [ABSTRACT FROM AUTHOR]

The expansion of urban areas has led to the encroachment of built-up areas on surrounding wetlands, adversely affecting the health of these ecosystems. Assessing the health status of wetlands becomes imperative for devising targeted policies to mitigate the impact of urbanization. Plant diversity is regarded as critical indicator of their overall health. In this study, three wetlands situated along urban-rural gradients in Hangzhou City were evaluated for ecological health using the vegetation-based index of biotic integrity (V-IBI) method, employing diversity survey data. The results revealed the selection of eight core indicators from a pool of 47 candidates that were used to calculate V-IBI values. This study found a decline in ecological health along the urban-rural gradients. The sampling points in the case wetlands were categorized into four groups based on V-IBI: poor (I), general (II), good (III), and healthy (IV). Progressing from the city center outward, 52.5%, 50%, and 4.8% of samples from Xixi Wetland, Tongjian Lake, and Qingshan Lake, respectively were classified as healthy. A positive linear relationship between plant richness and wetland health, coupled with species redundancy, was observed. Augmenting the number of plant species in wetlands proves conducive to maintaining their health and enhancing resilience against external interference. [ABSTRACT FROM AUTHOR]

The well-being of wildlife populations, ecosystem health, and human health are interlinked, and preserving wildlife is crucial for sustaining healthy ecosystems. Wildlife numbers, and in particular avian populations, have steeply declined over the past century, associated with anthropogenic factors originating from industry, urbanization, changing land use, habitat loss, pollution, emerging diseases, and climate change. All these factors combine to exert increasing stress and impair health for both humans and wildlife, with diminished metabolic, immune, and reproductive function, deteriorating overall health, and reduced longevity. The "toxic aging coin" suggests that these stressors may have dual impacts on aging-they can accelerate the aging process, and older individuals may struggle to cope with pollutants compared to younger ones. These responses are reflected in the health and productivity of individuals, and at a larger scale, the health and ability of populations to withstand disturbances. To understand the potential risk to health over the lifespan, it is important to articulate some of these global challenges and consider both their impacts on aging populations and on the aging process. In this review, we use the toxic aging coin and One Health conceptual frameworks to examine the interconnected health of humans, wildlife, and ecosystems. This exploration aims to develop proactive approaches for optimizing wildlife and human health. [ABSTRACT FROM AUTHOR]

Rebounding off the denaturized concept of business ecosystem, we develop an initial conceptualization of the marketing ecoverse. The marketing ecoverse refers to the confluence of three equally important types of ecosystems: business, sociocultural, and [natural] biogeophysical. We argue that the marketing ecoverse is based on shared natural phenomena, ecosystem functions, and native/inter-ecosystem service and disservice flows. The marketing ecoverse's self-regulative processes include material-to-moral signaling, resilience moderation, source-sink constraints, and artifact dispersal. A case of the growth and partial collapse of fourth-generation bike-sharing systems and their impact on African rural communities is presented to further illustrate the marketing ecoverse processes. [ABSTRACT FROM AUTHOR]

Context: Dynamic feedbacks between physical structure and ecological function drive ecosystem productivity, resilience, and biodiversity maintenance. Detailed maps of canopy structure enable comprehensive evaluations of structure–function relationships. However, these relationships are scale-dependent, and identifying relevant spatial scales to link structure to function remains challenging. Objectives: We identified optimal scales to relate structure heterogeneity to ecological resistance, measured as the impacts of wildfire on canopy structure, and ecological resilience, measured as native shrub recruitment. We further investigated whether structural heterogeneity can aid spatial predictions of shrub recruitment. Methods: Using high-resolution imagery from unoccupied aerial systems (UAS), we mapped structural heterogeneity across ten semi-arid landscapes, undergoing a disturbance-mediated regime shift from native shrubland to dominance by invasive annual grasses. We then applied wavelet analysis to decompose structural heterogeneity into discrete scales and related these scales to ecological metrics of resilience and resistance. Results: We found strong indicators of scale dependence in the tested relationships. Wildfire effects were most prominent at a single scale of structural heterogeneity (2.34 m), while the abundance of shrub recruits was sensitive to structural heterogeneity at a range of scales, from 0.07 – 2.34 m. Structural heterogeneity enabled out-of-site predictions of shrub recruitment (R2 = 0.55). The best-performing predictive model included structural heterogeneity metrics across multiple scales. Conclusions: Our results demonstrate that identifying structure–function relationships requires analyses that explicitly account for spatial scale. As high-resolution imagery enables spatially extensive maps of canopy heterogeneity, models for scale dependence will aid our understanding of resilience mechanisms in imperiled arid ecosystems. [ABSTRACT FROM AUTHOR]

Heavy metals pose significant threats to ecosystems and human health due to their persistence and bioaccumulation. In Thailand, rapid industrialization, extensive agriculture, and urban development have exacerbated heavy metal pollution in both aquatic and terrestrial ecosystems. This systematic review, conducted according to PRISMA guidelines, evaluates study designs and methodologies to assess heavy metal bioaccumulation in Thai fauna, with a focus on ecological and health impacts. The review reveals that fish, particularly from families like Cyprinidae and Cichlidae, account for 42.11 % of studies, with species such as swamp eel, Henicorhynchus siamensis, Arius maculatus, Osteogeneiosus militaris, Puntioplites proctozystron, and Channa striata showing significant bioaccumulation. Molluscs (31.58 %), including Tegillarca granosa and Filopaludina martensi, serve as critical bioindicators of aquatic pollution due to their filter-feeding habits. Amphibians and crustaceans, like Fejervarya limnocharis and Fenneropenaeus merguiensis, also demonstrate vulnerability to heavy metal contamination. Key contamination hotspots include urban waterways in Bangkok, industrial discharges in Songkhla Lake, and mining sites in Loei Province, highlighting widespread environmental and health impacts. Despite extensive research, gaps remain, particularly concerning benthic scavengers and detritivores, which are vital for ecosystem functions. The review underscores the need for targeted monitoring and mitigation, including stricter regulations on industrial discharges, improved waste treatment, and better management of agricultural runoff. While metals like cadmium (Cd), lead (Pb), copper (Cu), and zinc (Zn) are well-studied, further research on less-examined metals and species-specific bioaccumulation patterns is crucial to enhancing environmental management, supporting biodiversity conservation, and improving ecosystem resilience in Thailand.

Pinyon woodlands in the semi-arid southwestern United States developed in response to environmental factors and historical human interactions, providing sustenance and traditional ecological benefits to Native Nations, such as the Navajo (Diné). Historically, Diné communities practiced land stewardship through seasonal movements and resource management, ensuring ecosystem resilience. However, the constraints imposed by European colonization led to transformative changes in their livelihoods and environments. Encompassing 71,000 km2, pinyon-juniper woodlands comprise 89 % of forested area on the Navajo Nation reservation, providing crucial ecosystem services and cultural resources. Since reservation establishment in 1868, increased tree density has diminished understory plant communities and elevated woodland susceptibility to wildfires, compromising overall forest health. Recognizing the imperative for ecological restoration, a collaborative effort between Diné College and Northern Arizona University (NAU) was established in 2018 to develop a pinyon woodland research site on the Diné College campus in Tsaile, Arizona, on the Navajo Nation reservation. We assessed the effectiveness of restoration thinning treatments in reinstating historical woodland structure, modifying fuels for fire mitigation, and engaging students in ecological practices. Thinning resulted in a 62 % reduction in tree density and a 25 % reduction in basal area, altering the woodland structure to reflect historical conditions more accurately. This alteration mitigated the risk of high-intensity wildfires while preserving the age structure of older trees (oldest dating back to 1435 C.E.). Forest floor fuels were low throughout the study, as thinned wood was removed, and activity fuels were immediately treated with chipping. The active participation of Diné College and NAU students, interns, and faculty throughout the study contributed to a cohesive approach in advancing our goals. The comprehensive training empowered students to contribute meaningfully to fieldwork and data collection, aligning with Diné College's mission to enhance post-secondary student learning and development for the benefit of the Diné. By integrating contemporary and culturally sensitive perspectives, our study sheds light on the effectiveness of restoration thinning treatments, emphasizing the delicate balance between ecological resilience and cultural preservation for the Navajo Nation.

Quantifying ecosystem resilience under drought is crucial for sustainable development strategies. This study aims to investigate the spatial and temporal variability of Net Primary Productivity (NPP) across anthropogenic biomes in India (2000 to 2020) and to understand the post-drought long-term ecosystem resilience. A time series study of monthly precipitation, standardized precipitation index (SPI), and NPP were applied to understand ecosystem resilience across twenty anthropogenic biomes. Mann-Kendall test was used to quantify the magnitude and direction of the trend. In addition, bivariate raster maps of mean precipitation and soil moisture were presented in relation to ecosystem resilience in India. The forested areas in the Himalayan region and the Western Ghats of India were identified with resilient ecosystem that can withstand climate change. However, the croplands and rangelands were non-resilient to drought, making them vulnerable to climate change. Northern and western part of India falls under catastrophic to critical non-resilient ecosystem. Soil moisture availability in the biome, forest cover, type of land use, agricultural practices, and climate shocks are mainly influencing the resilience of the anthropogenic biomes in India. The resilience assessment can be used by policymakers to plan anthropogenic interventions in harmony with nature.

Research on the relationship between fish and floristic diversity has been limited by narrow scopes, inconsistent methodologies, and geographic biases, resulting in fragmented insights. This study presents a comprehensive bibliometric analysis on the relationship between fish diversity and floristic diversity, spanning nearly six decades from 1965 to 2024. Using the Scopus database, 47 publications were identified based on the presence of the keywords "fish" and "floristic diversity" in article titles, abstracts, and keywords. The analysis reveals a gradual increase in publications over time, with notable peaks corresponding to heightened awareness of biodiversity conservation. The research themes identified include habitat provision, ecosystem resilience, impact of environmental change, and the role of invasive species. The study highlights the importance of integrating conservation strategies that protect both fish and plant diversity to maintain ecosystem health and resilience. The findings also point to regional and taxonomic specificity as critical areas for future research, particularly in climate change and habitat alteration. This bibliometric review provides valuable insights into the evolution of this field and identifies gaps and opportunities for further investigation. Therefore, the study underscores the critical interdependence between fish and floristic diversity within ecosystems, a relationship that both natural processes and anthropogenic influences have shaped over time. The findings suggest that conservation efforts must adopt a more integrated approach, recognizing the mutual dependencies between different forms of biodiversity. This approach will be essential for mitigating the adverse effects of human activities on ecosystems and ensuring the long-term sustainability of both fish and plant communities.

Abstract Background Grasslands provide a wide range of ecosystem services (ESs). However, there is currently no method for easily diagnosing the level of ESs produced. Our aim was to develop ES indicators based on botanical surveys, which are readily available data and integrative of grassland spatiotemporal variability. Methods Based on academic knowledge and expertise, we identified several simple vegetation criteria that we aggregated using a multicriteria analysis tool to construct indicators of the level of ESs provided by grasslands. In this study, the indicators were calculated from over 2000 botanical surveys spread over a wide biogeographical gradient. Results Analyses of correlation between the various indicators show that “forage supply” and “diversity conservation” were not correlated. “Forage availability” and “nitrogen availability for the vegetation” were positively linked together and negatively linked to the robustness of the plant community to extreme events. A temporal approach highlights that the “biodiversity conservation” score decreased from 1970 to 2010 and that “nitrogen availability for the vegetation” was lower in 1970 and 1980 than in 2000 and 2010. Conclusions These results show that our aggregation method based on a large data set of botanical surveys could be appropriate for studying temporal dynamics of ESs.

The possibility of analyzing the general and functional diversity of the ecosystem is considered, as is unambiguous interpretation of the results obtained based on our work experience and previously obtained data. The prospects for studying small mammals without removal from the wild are discussed. We discuss distinguishing in a sample the resident component, which makes it possible to characterize local resource flows, and the nonresident component, dependent on the state of the territory as a whole. A description of the capture–mark–recapture protocol, methods for assessing spatial activity, calculating the density of the resident population per unit area, and the completeness of species richness estimate is provided. The estimates of animal numbers per unit of trapping effort in pooled sample, the population density of residents, and the index of the nonresident flow are compared. The possibility of analyzing the resource flows in "historical," "novel," and "hybrid" ecosystems, as well as using data to analyze the resilience of the ecosystem and detect the threshold point, is considered. [ABSTRACT FROM AUTHOR]

Ecosystem change is an everyday reality, and assessment of its ability to provide men with products and services of the ecosystem (fresh water, climate, soil fertility, etc.), which are necessary for human welfare, is an urgent applied issue. The question as to "whether changes in the loss of biological diversity will affect the functioning of local ecosystems" is attracting increasing attention. In this first paper, we consider modern approaches to ecosystem monitoring. The concept of historical and novel ecosystems, ecosystem resilience, threshold effects, theory-driven restoration, and social–ecological considerations are reviewed. The principles of indication, requirements for indicators, possibilities, and prospects for the use of small mammals as indicators of the dynamics of local ecosystems are considered. [ABSTRACT FROM AUTHOR]

Background: Grasslands provide a wide range of ecosystem services (ESs). However, there is currently no method for easily diagnosing the level of ESs produced. Our aim was to develop ES indicators based on botanical surveys, which are readily available data and integrative of grassland spatiotemporal variability. Methods: Based on academic knowledge and expertise, we identified several simple vegetation criteria that we aggregated using a multicriteria analysis tool to construct indicators of the level of ESs provided by grasslands. In this study, the indicators were calculated from over 2000 botanical surveys spread over a wide biogeographical gradient. Results: Analyses of correlation between the various indicators show that "forage supply" and "diversity conservation" were not correlated. "Forage availability" and "nitrogen availability for the vegetation" were positively linked together and negatively linked to the robustness of the plant community to extreme events. A temporal approach highlights that the "biodiversity conservation" score decreased from 1970 to 2010 and that "nitrogen availability for the vegetation" was lower in 1970 and 1980 than in 2000 and 2010. Conclusions: These results show that our aggregation method based on a large data set of botanical surveys could be appropriate for studying temporal dynamics of ESs. [ABSTRACT FROM AUTHOR]

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Copyright of Nankai Business Review is the property of Nankai Business Review Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Lateral subsurface flow plays an essential role in sustaining the terrestrial ecosystem, but it is not explicitly represented in most Earth System Models. In this study, we implemented an explicit lateral saturated flow model into the E3SM land model (ELM). The model explicitly describes lateral flow in the saturated zone by representing, for each model grid, an idealized hillslope consisting of five hydrologically connected soil columns. We conducted three model experiments driven by 0.125° atmospheric forcing data during 1980–2015 over California using models of the default ELM, a modified version of ELM to enhance infiltration, and the model with the lateral saturated flow model. The simulated runoff, evapotranspiration, and terrestrial water storage anomaly (TWSA) from the three simulations were evaluated against available observations, and the model explicitly representing lateral flow performs best. The new model produces greater gridcell‐averaged evapotranspiration especially over the mountainous regions with moderate relief and seasonally dry climates. Most importantly, it improves the modeled seasonal variations, interannual variabilities, and the recent decadal decline of TWSA. Many of these improvements can be attributed to the enhanced ecosystem resilience to droughts as demonstrated by transpiration increases caused by lateral flow. Model sensitivity experiments suggest that subsurface runoff is most sensitive to the ratio between horizontal and vertical saturated hydraulic conductivity, followed by hillslope planforms (convergent, divergent, and uniform), number of columns, and lower boundary conditions. Future work should effectively characterize hillslopes in global models and explore the long‐term influences of lateral water movement on modeled biogeochemical cycle. Plain Language Summary: In this study, we implemented a lateral saturated flow scheme into the Energy Exascale Earth System Model's land model (ELM) to explicitly represent lateral groundwater movement. We applied our newly developed model over California and found better model performance against the original and a revised version of ELM through the explicit yet simplified representation of lateral flow along hillslopes. Most importantly, our new model does a better job at reproducing the seasonal variations, interannual variabilities, and a declining trend of terrestrial water storage anomaly in California. Given the intensified coupling among water, energy, and carbon cycles associated with climate change, our study highlights the need to implement lateral flow in Earth System Models for better climate projections. Key Points: A land model with an explicit lateral saturated flow model produces runoff and evapotranspiration reasonably well in the California basinIt simulates a better declining terrestrial water storage trend during droughts as lateral flow enhances ecosystem resilienceLateral subsurface flow is most sensitive to the ratio between vertical and horizontal hydraulic conductivity followed by hillslope shape [ABSTRACT FROM AUTHOR]

Background: Urban gardens, despite their transformed nature, serve as invaluable microcosms for a quantitative examination of floral resource provision to urban pollinators, considering the plant's origin. Thus, knowledge has increased, emphasizing the importance of these green areas for hosting and conserving pollinator communities. However, there is a significant knowledge gap concerning the changing availability of these native and exotic floral resources over time and their impact on structuring interaction networks with specific pollinators. Methods: Over a year-long period, monthly surveys were conducted to record both native and exotic plant species visited by hummingbirds in an urban garden at Tlaxcala, Mexico. Flower visits were recorded, and the total flowers on each plant visited were tallied. Additionally, all observed hummingbirds were recorded during the transect walks, regardless of plant visits, to determine hummingbird abundance. The interactions were summarized using matrices, and network descriptors like connectance, specializacion, nestedness, and modularity were computed. Plant and hummingbird species in the core and periphery of the network were also identified. Lastly, simulations were performed to assess the network's resilience to the extinction of highly connected native and exotic plant species, including those previously situated in the network's core. Results: We recorded 4,674 interactions between 28 plant species, and eight hummingbird species. The majority of plants showed an ornithophilic syndrome, with 20 species considered exotic. Despite asynchronous flowering, there was overlap observed across different plant species throughout the year. Exotic plants like Jacaranda mimosifolia and Nicotiana glauca produced more flowers annually than native species. The abundance of hummingbirds varied throughout the study, with Saucerottia berillyna being the most abundant species. The plant-hummingbird network displayed high connectance, indicating generalization in their interaction. Significant nestedness was observed, mainly influenced by exotic plant species. The core of the network was enriched with exotic plants, while Basilinna leucotis and Cynanthus latirostris played central roles among hummingbirds. Network resilience to species extinction remained generally high. Conclusions: Our findings provide valuable insights into the dynamics and structure of plant-hummingbird interactions in urban gardens, emphasizing the influence of exotic plant species and the network's resilience to perturbations. Understanding and managing the impact of exotic plants on such networks is crucial for the conservation and sustainable functioning of urban ecosystems. [ABSTRACT FROM AUTHOR]