Environmental Changes Research Articles

Determinants of household livelihood diversification in the uplands: The case of cassava production areas in central highlands of Vietnam

ABSTRACT The livelihoods of upland communities in Vietnam are rapidly transforming due to socio-economic and environmental changes. As a result, livelihood diversification has emerged as an adaptive strategy to these pressures, while agricultural commercialization demands greater production specialization. This study explored livelihood and crop diversification in the central highlands using survey data from 364 households and 22 in-depth interviews. The Simpson Diversity Index and Herfindahl-Hirschman Indexe were used to measure diversification levels, and regression analysis identified key determinants. Findings revealed moderate-low livelihood diversification toward non-farm activities and moderate-high crop diversification, with a trend toward industrial cassava specialization. Household-head age, education, perception of climate risks, and transportation accessibility were key factors influencing livelihood diversification. The study recommends policies to enhance young laborers’ capacity in agriculture and promote the development of non-farm livelihood activities, leveraging local resources for sustainable upland development.

The influence of fire mosaics on mammal occurrence in north-western Australia

Abstract Background Understanding the relationship between fire and species habitat preferences is critical in an era of rapid environmental change. In northern Australia, large, intense, and frequent fires are thought to be a primary cause of mammal population declines, particularly through their influence on habitat suitability. Here, we used a large species presence database in combination with satellite-derived fire history data to assess the influence of fire attributes, including burn extent, frequency, and pyrodiversity, on the likelihood of occurrence of eight mammal species in north-west Western Australia. Results The likelihood of occurrence declined for some species with an increasing proportion of recently burnt habitat and increased for most species with an increasing proportion of long unburnt habitat. The occurrence of six species was negatively correlated with increasing fire frequency, while the occurrence of four species was positively correlated with increasing pyrodiversity. Conclusions Our results indicate that fire likely plays an important role in influencing mammal occurrence in the Pilbara and support previous research indicating that frequent large-scale burns have a mostly negative impact on small to medium-sized mammals in northern Australia. To improve mammal habitat suitability, land managers should aim to reduce the extent of large late dry season burns and increase the availability of mature spinifex grasslands.

Indigenous women as agents of environmental change: a study of selected Indian ecodocumentaries

ABSTRACT Mainstream feminism has always revolved around the experiences of white women and has failed to acknowledge the plight of indigenous women who were subjugated to both patriarchy and colonialism. A gendered notion of indigeneity is necessary to bring the marginalization of Indigenous women to the forefront to ensure tribal sovereignty. Indigenous women’s activism has always been distinctly connected to the environment in order to protect the community from external agencies such as companies and government bodies. Several grassroot environmental movements have emerged from the indigenous communities where women have played a pivotal role in the success of these movements. Thus, this study focuses on the environmentalism of indigenous women by analyzing selected documentaries from India i.e. Missing: Forgotten Women in India’s Climate Action Plans (2015), The Seed Guardians (2016), Agar Wo Desh Banati (2018) and Thengapalli (2020). The paper aims to recognize the struggles of these women to achieve basic environmental rights and how they promote sustainable living with the help of their traditional knowledge. Indigenous feminism will not simply be taken as a matter of identity politics, rather it will be used as a framework to understand indigenous women’s struggles as a part of a global liberation movement.

Drivers for Nominating First Women Executives: Empirical Evidence From Japanese Firms

Prior research on women in executive positions (WiE) has focused exclusively on the consequences of WiE by addressing how women executives influence firm strategy and performance, whereas little is known about the antecedents of WiE. However, to gain a comprehensive understanding of the overall impact of women executives on the firm, it is worthwhile to identify the triggers that prompt firms to appoint women executives for the first time. In this study, we have attempted to identify the antecedents of first appointments of women to executive teams (FAWE). On the basis of a theoretical frame incorporating the think crisis–think female perspective into the punctuated equilibrium model, we consider FAWE as the process of the transformational reform of an organization and examine the roles of three factors—firm performance (i.e., ROA and aspirational performance), environmental changes (i.e., industry dynamism, industry munificence, and industry complexity), and new CEO appointments—as antecedents of FAWE. We conducted a panel logistic regression analysis using 20 years of panel data (2000–2019) for Japanese listed firms. Our findings demonstrate that (1) poor firm performance (ROA and aspirational performance) was significantly related to the likelihood of FAWE in the subsequent year, and (2) a new CEO appointment was significantly related to the likelihood of FAWE in the subsequent year, whereas (3) hypotheses regarding environmental changes (industry dynamism, industry munificence, and industry complexity) were not confirmed. Implications for researchers and practitioners are discussed, along with the study’s limitations and suggestions for future research.

A portable multi-taxa phenotyping device to retrieve physiological performance traits

Organismal phenotyping to identify fitness traits is transforming our understanding of adaptive responses and ecological interactions of species within changing environments. Here we present a portable Multi-Taxa Phenotyping (MTP) system that can retrieve a suite of metabolic and photophysiological parameter across light, temperature, and/or chemical gradients, using real time bio-optical (oxygen and chlorophyll a fluorescence) measurements. The MTP system integrates three well-established technologies for the first time: an imaging Pulse Amplitude Modulated (PAM) chlorophyll a fluorometer, custom-designed well plates equipped with optical oxygen sensors, and a thermocycler. We demonstrate the ability of the MTP system to distinguish phenotypic performance characteristics of diverse aquatic taxa spanning corals, mangroves and algae based on metabolic parameters and Photosystem II dynamics, in a high-throughput capacity and accounting for interactions of different environmental gradients on performance. Extracted metrics from the MTP system can not only provide information on the performance of aquatic taxa exposed to differing environmental gradients, but also provide predicted phenotypic responses of key aquatic organisms to environmental change. Further work validating how rapid phenotyping tools such as the MTP system predict phenotypic responses to long term environmental changes in situ are urgently required to best inform how these tools can support management efforts.

Diversity and Activity of Soil N2O-Reducing Bacteria Shaped by Urbanization.

Nitrous oxide (N2O) is a potent greenhouse gas with various production pathways. N2O reductase (N2OR) is the primary N2O sink, but the distribution of its gene clades, typically nosZI and atypically nosZII, along urbanization gradients remains poorly understood. Here we sampled soils from forests, parks, and farmland across eight provinces in eastern China, using high-throughput sequencing to distinguish between two N2O-reducing bacteria clades. A deterministic process mainly determined assemblies of the nosZI communities. Homogeneous selection drove nosZI deterministic processes, and both homogeneous and heterogeneous selection influenced nosZII. This suggests nosZII is more sensitive to environmental changes than nosZI, with significant changes in community structure over time or space. Ecosystems with stronger anthropogenic disturbance, such as urban areas, provide diverse ecological niches for N2O-reducing bacteria (especially nosZII) to adapt to environmental fluctuations. Structural equation modeling (SEM) and correlation analyses revealed that pH significantly influences the community composition of both N2O-reducing bacteria clades. This study underscores urbanization's impact on N2O-reducing bacteria in urban soils, highlighting the importance of nosZII and survival strategies. It offers novel insights into the role of atypical denitrifiers among N2O-reducing bacteria, underscoring their potential ecological importance in mitigating N2O emissions from urban soils.

Mapping Histories: An Environmental Perspective for Writing Local History in Pakistan

Local history in Pakistan has a complex relationship with national historical narratives that are derived from ideological debates on Muslim nationhood in South Asia. This article discusses how ‘local’ is understood in Pakistan’s historiography and puts forth an argument for the adoption of an environmental framework to enhance our understanding of local history. Mapping methodology used for a project on the Rachna Doab is discussed in order to demonstrate how local environmental history can give new insights into history by eschewing preconceived frames of reference and using a different concept of space and time defined by environmental change.

Dynamic Change Characteristics of Wetlands in Hefei and their Driving Factors Along the Urban–Rural Gradient

Wetlands, as vital components of urban ecological infrastructure, provide essential ecosystem services. However, they face increasing risks of degradation and loss due to their vulnerability, environmental changes, and human activities. Therefore, effective restoration efforts are urgently needed. This study adopts a novel approach by considering the urban–rural gradient and integrates land use data, ecological parameters, and anthropogenic factors in Hefei City. Through morphological spatial pattern analysis, principal component analysis, and affinity propagation, this study identifies and analyzes urban–rural gradients. Using the optimal parameter geographic detector, the drivers of wetland changes from 1990 to 2020 are quantitatively assessed across different urban–rural gradients in Hefei. The findings indicate the following. (1) A persistent reduction in wetland expanse throughout the study duration, diminishing from 1274.56 km2 in 1990 to 1119.37 km2 in 2020, constituting a decrement of 12.17%. (2) Based on geographic detector outcomes, disparate driving forces underpin wetland dynamics across urban–rural gradients, with urban locales predominantly influenced by organic carbon and the proportion of impervious surface factors. Meanwhile, in agricultural and semi-ecological villages, silt is the primary factor, while ecological villages are primarily modulated by both silt and gross domestic product factors. Additionally, synergistic interactions manifest heightened explanatory power. This study elucidates the mechanistic underpinnings of wetland dynamics along urban–rural gradients, providing pivotal insights for developing targeted wetland restoration and conservation policies pertinent to the urban–rural developmental trajectory in Hefei City. Concurrently, it offers relevant recommendations for the multifaceted stewardship and sustainable development of wetlands in Hefei City in the foreseeable future.

Species interactions drive continuous assembly of freshwater communities in stochastic environments

Understanding the factors driving the maintenance of long-term biodiversity in changing environments is essential for improving restoration and sustainability strategies in the face of global environmental change. Biodiversity is shaped by both niche and stochastic processes, however the strength of deterministic processes in unpredictable environmental regimes is highly debated. Since communities continuously change over time and space—species persist, disappear or (re)appear—understanding the drivers of species gains and losses from communities should inform us about whether niche or stochastic processes dominate community dynamics. Applying a nonparametric causal discovery approach to a 30-year time series containing annual abundances of benthic invertebrates across 66 locations in New Zealand rivers, we found a strong negative causal relationship between species gains and losses directly driven by predation indicating that niche processes dominate community dynamics. Despite the unpredictable nature of these system, environmental noise was only indirectly related to species gains and losses through altering life history trait distribution. Using a stochastic birth-death framework, we demonstrate that the negative relationship between species gains and losses can not emerge without strong niche processes. Our results showed that even in systems that are dominated by unpredictable environmental variability, species interactions drive continuous community assembly.

Os efeitos do aquecimento global na ampliação das áreas desertificadas: um estudo acerca da geografia econômica dos municípios do sertão da Bahia e possíveis mitigações da teoria da tríplice hélice

Global warming, caused by the burning of fossil fuels and deforestation, is triggering significant changes in the Earth's environment. Phenomena like El Niño and La Niña, analyzed through modeling techniques, reveal complex patterns affecting various time scales. In regions with fragile soils, the trend is rapid progression towards scenarios of desertification and abandonment in the coming years. The migration of rural populations from these areas to urban centers, abandoning subsistence economies, may increase poverty in cities, a movement comparable to the Industrial Revolution's exodus, already visible in economic and social data. This article theoretically reviews topics related to desertification resulting from climate change, aiming to identify the social and economic consequences of this phenomenon in the region. Additionally, it explores possible actions to mitigate problems caused by global warming. In conclusion, a solution based on the Triple Helix Theory, which promotes interaction between government, universities, and businesses, will be presented. This approach could be crucial in mitigating the impacts of desertification, fostering sustainable development and innovation in the affected region.

Effect of COVID-19 global lockdown on our Moon

Abstract Systematic investigation of lunar night-time temperatures can possibly be thought as a stable platform to study Earth's radiation budget and climate change as advocated earlier by several researchers. In this study, we report an interesting observation possibly of changing Earth's climate as experienced by the Moon, utilising a rare and novel context of COVID-19 global lockdown. Lunar night-time surface temperatures of six different sites on the Moon's nearside were analysed during the period 2017–2023. Results showed an anomalous dip in the lunar night time surface temperatures for all the sites during April-May 2020, the strict COVID-19 global lockdown period, when compared to the values of the same period during the previous and subsequent years. Since the terrestrial radiation has also showed a significant reduction during that time, the anomalous decrease observed in lunar surface temperatures is attributed to the COVID 19 global lockdown effect. Therefore, our study shows that the Moon has possibly experienced the effect of COVID 19 lockdown, visualised as an anomalous decrease in lunar night-time surface temperatures during that period. These results can be substantiated further from Moon-based observatories in future, thereby making them potential tools for observing Earth's environmental and climate changes.

Impact of Land Use/Cover Change on Soil Erosion and Future Simulations in Hainan Island, China

Soil erosion (SE) is a critical threat to the sustainable development of ecosystem stability, agricultural productivity, and human society in the context of global environmental and climate change. Particularly in tropical island regions, due to the expansion of human activities and land use/cover changes (LUCCs), the risk of SE has been exacerbated. Combining the RUSLE with machine learning methods, SE spatial patterns, their driving forces and the mechanisms of how LUCCs affect SE, were illustrated. Additionally, the potential impacts of future LUCCs on SE were simulated by using the PLUS model. The main results are as follows: (1) Due to LUCCs, the average soil erosion modulus (SEM) decreased significantly from 108.09 t/(km2·a) in 2000 to 106.75 t/(km2·a) in 2020, a reduction of 1.34 t/(km2·a), mainly due to the transformation of cropland to forest and urban land. (2) The dominant factor affecting the spatial pattern of SE is the LS factor (with relative contributions of 43.9% and 45.17%), followed by land use/cover (LUC) (the relative contribution is 28.46% and 34.89%) in 2000 and 2020, respectively. (3) Three kinds of future scenarios simulation results indicate that the average SEM will decrease by 2.40 t/(km2·a) under the natural development scenario and by 1.86 t/(km2·a) under the ecological protection scenario by 2060. However, under the cropland protection scenario, there is a slight increase in SEM, with an increase of 0.08 t/(km2·a). Sloping cropland erosion control remains a primary issue for Hainan Island in the future.

Evolutionary shift of a tipping point can precipitate, or forestall, collapse in a microbial community.

Global ecosystems are rapidly approaching tipping points, where minute shifts can lead to drastic ecological changes. Theory predicts that evolution can shape a system's tipping point behaviour, but direct experimental support is lacking. Here we investigate the power of evolutionary processes to alter these critical thresholds and protect an ecological community from collapse. To do this, we propagate a two-species microbial system composed of Escherichia coli and baker's yeast, Saccharomyces cerevisiae, for over 4,000 generations, and map ecological stability before and after coevolution. Our results reveal that tipping points-and other geometric properties of ecological communities-can evolve to alter the range of conditions under which our microbial community can flourish. We develop a mathematical model to illustrate how evolutionary changes in parameters such as growth rate, carrying capacity and resistance to environmental change affect ecological resilience. Our study shows that adaptation of key species can shift an ecological community's tipping point, potentially promoting ecological stability or accelerating collapse.

Forms of Law for the Anthropocene: Civil Liability Revisited

Abstract Rapid, unpredictable ecological changes and the resulting instability that are characteristic of the Anthropocene call for a re-examination of the role of law in governing interactions between humans and ecosystems and facilitating adaptation to ecological change. The scope and scale of environmental change we are experiencing seem to call for a regulatory approach, namely forms of law that are designed to pursue well-defined material objectives, often through instruction rules designed to guide behavior to line up with those objectives. Such forms of law have a crucial role to play. However, the negligence principle at the heart of civil liability law is also capable of absorbing and circulating information about environmental risk and means of addressing it, and of translating that information from empirical to normative terms. The grounding of negligence in domestic civil liability law could be a serious obstacle to its effectiveness given the global, Earth system-wide nature of environmental degradation. However, the negligence principle increasingly operates through networks that traverse jurisdictional boundaries, as well as the boundaries between social systems. I propose such a network approach to analyze interactions between the negligence principle and corporate due diligence obligations embedded in domestic legislation and international texts such as the United Nations Guiding Principles on Business and Human Rights (UNGPs). One important result would be the imposition of expanded epistemic obligations on firms, which would in turn require their serious engagement with domestic, international, and transnational environmental and sustainability norms.

A growth-effective age-based periodic site-index for the estimation of dynamic forest site productivity under environmental changes

Key messageA novel periodic site index is introduced for the quantification of dynamic forest site productivity. The measure is age-independent, sensitive to environmental changes and efficient for the estimation and prediction of stand height and stand volume increment.ContextAccurate and up-to-date prediction of site productivity is crucial for the sustainable management of forest ecosystems, especially under environmental changes.AimsThe aim of this study was to introduce a novel concept: a periodic site index based on growth-effective age for the quantification of dynamic forest site productivity.MethodsThe growth-effective age based periodic site index is estimated from repeated or multi-temporal measurements of stand dominant height. Furthermore, a recursive procedure to update the underlying site index model is presented by using repeated measurements of stand dominant height. The database used in this study comprised repeated measurements of 945 Norway spruce (Picea abies L.) experimental plots at 508 different locations in Southwest Germany.ResultsThe evaluation shows that periodic site index is statistically superior to the conventional site index, based on chronological stand age, for estimating stand height and stand volume increment. The analysis of temporal differences between growth-effective stand age and chronological stand age and between periodic site index and conventional site index in the period 1900 to 2020 reveals trends referring to stand age and site productivity, which corroborate earlier regional studies on forest growth trends due to environmental changes.ConclusionsThe periodic site index is a better indicator for site productivity than conventional site index. Under conditions of environmental changes, conventional site index is biased, whereas the growth-effective age based site index provides an unbiased estimate of stand height development. With the more widespread application of remote sensing techniques, such as airborne laser scanning, the availability of multi-temporal stand height data will increase in the near future. The novel concept provides an adaptive modeling approach perfectly suited to these data for an improved estimation and prediction of forest site productivity under environmental changes and can straightforwardly be applied also to uneven-aged and multi-species stands.

Machine Learning Algorithms for Water Quality Management Using Total Dissolved Solids (TDS) Data Analysis

Our research project specifically focuses on evaluating groundwater quality in six West Texas counties. We aim to determine whether environmental changes have any impact on the levels of Total Dissolved Solids (TDS) in the water supplied to the public. To achieve this goal, we will be utilizing advanced machine learning algorithms to analyze TDS levels and create geospatial maps for each year between the 1990s and 2010s. To ensure the accuracy of our data, we have gathered information from two trusted sources: the Texas Water Development Board (TWDB) and the Groundwater Database (GWDB). We have analyzed the TDS and other elemental analyses from TWDB–GWDB lab reports and compared them with the quality cutoff set by the World Health Organization (WHO). Our approach involves a thorough examination of the data to identify any emerging patterns. The machine learning algorithm has been successfully trained and tested, producing highly accurate results that effectively predict water quality. Our results have been validated through extensive testing, highlighting the potential of machine learning approaches in the fields of environmental research. Overall, our findings will contribute to the development of more effective policies and regulations in predicting groundwater quality and improving water resource management in Texas. Therefore, this research provides important information for groundwater protection and the development of plans for water resource use in the future.

Residential mobility amongst children and young people in Wales: A longitudinal study using linked administrative records

BackgroundChild poverty remains a major global concern and a child's experience of deprivation is heavily shaped by where they live and the stability of their local neighbourhood. This study examines frequencies and patterns of residential mobility in children and young people (CYP) at a population level using novel geospatial techniques to assess how often their physical environment changes and to identify geographical variations in social mobility.MethodsWe used routinely collected administrative records held in the Secure Anonymised Information Linkage (SAIL) Databank for CYP aged under 18 years living in Wales between 2012 and 2022. We calculated the Moran's I statistic to assess the magnitude of Lower layer Super Output Area (LSOA)-level geographic variation in residential mobility and used the Local Indicator of Spatial Association (LISA) to identify clusters of LSOAs where there are higher rates of residential mobility.ResultsThis study included 923,531 CYP, with 58% having moved at least once during the study period. A total number of 1,209,102 house moves were recorded, 59% of which occurred between the ages of 0 and 5 years. Almost 10% of the cohort resided in five or more dwellings before the age of 18 years. In terms of area-level (LSOA) deprivation, 75% of house moves were to areas with the same or higher levels of deprivation, leaving only 25% of house moves that achieved upward social mobility. Clustering of residential mobility was identified predominantly in areas of high deprivation.ConclusionThe findings of this study show that residential mobility is linked with socio-economic circumstances and is experienced by over half of CYP in Wales. Understanding where CYP live, their mobility patterns and which areas have high levels of influx and efflux is crucial for policymakers to generate well-informed, targeted and effective child-focused interventions.

Bacterial Secondary Metabolites Embedded in Producer Cell Membranes and Antibiotics Targeting Their Biosynthesis.

The bacterial cell membrane primarily houses lipids, carbohydrates, and proteins forming a barrier and interface that maintains cellular integrity, supports homeostasis, and senses environmental changes. Compared to lipid components and excreted secondary metabolites, compounds embedded in the producer cell membrane are often overlooked due to their low abundance and niche-specific functions. The accumulation of findings has led to an increased appreciation of their crucial roles in bacterial cell biochemistry, physiology, and ecology, as well as their impact on mutualistic and pathogenic bacteria-eukaryote interactions. This review highlights the structures, biosynthesis, regulation, and ecological functions of membrane-embedded secondary metabolites. It also discusses antibiotics that target their biosynthetic pathways, aiming to inspire the development of antibiotics specific to pathogenic bacteria without harming human cells.

Measuring and understanding information storage and transfer in a simulated human gut microbiome.

Considering biological systems as information processing entities and analyzing their organizational structure via information-theoretic measures has become an established approach in life sciences. We transfer this framework to a field of broad general interest, the human gut microbiome. We use BacArena, a software combining agent-based modelling and flux-balance analysis, to simulate a simplified human intestinal microbiome (SIHUMI). In a first step, we derive information theoretic measures from the simulated abundance data, and, in a second step, relate them to the metabolic processes underlying the abundance data. Our study provides further evidence on the role of active information storage as an indicator of unexpected structural change in the observed system. Besides, we show that information transfer reflects coherent behavior in the microbial community, both as a reaction to environmental changes and as a result of direct effective interaction. In this sense, purely abundance-based information theoretic measures can provide meaningful insight on metabolic interactions within bacterial communities. Furthermore, we shed light on the important however little noticed technical aspect of distinguishing immediate and delayed effects in the interpretation of local information theoretical measures.

Use and transformation of beaches as a tourism resource by promoters and managers in oceanic islands. A conflict for geoheritage conservation and social preferences in the canary islands

In the case of the Canary Islands (Spain), human occupation on beaches has generated environmental and landscape transformations and a loss of their geoheritage values. In this sense, this archipelago could be a good example to demonstrate the paradigm at the regional scale at first and island scale at second, that the colour and composition of the beaches are determinant for urban-tourist development. The beaches with the colour and composition that managers and promoters prefer most are those that have withstood the greatest anthropogenic pressure, and may lead to socio-environmental conflicts. For this, the aim of this work is to characterize and identify beach typologies according to their sedimentological characteristics, the degree of urban-tourist occupation, and the environmental changes and artificialisation that have taken place over the last sixty years in the beaches of La Palma, Tenerife and Fuerteventura. For this purpose, the General Catalogue of Beaches and Maritime Bathing Areas (the latter were excluded from the study) issued by the Canary Islands Government was used. This source was spatially and statistically analysed using a Geographic Information System (GIS) and related to socio-environmental variables extracted from geo-referenced sources. Orthophotos from 1957 and more recent years were also used for the historical characterization. Finally, this information was contrasted with social preferences, obtained from online surveys, about the physical configuration of Canarian beaches. Results show that the quantity and distribution of beach types (grain size and beach colour) differ for each island, and that beach use depends on its typology, with sandy beaches being the most used as an urban-tourist resource and pebble-cobble beaches the most transformed to respond to sand beach user demand. These and other factors that have affected the evolution of these beaches and the degree of conservation of their natural functions and geoheritage values are discussed. The responses to the survey show significant patterns related to user profile and preferences regarding the beach environment and recreational services. The importance of social preferences and beach transformation is discussed to understand the evolution of beach management in the Canary Islands and the identified conflicts.