Anthropocene Science最新文献

Sustainable Development Goals (SDGs) are impacted by the Anthropocene's onset, hence critical actions must be taken to develop tailored policies for these goals. This research aims to understand the interaction between anthropogenic activities and SDGs or Millennium Development Goals (MDGs), as well as research trajectories, spatiotemporal development, scientific networks, continuing research issues, and gaps in these fields. The present study compiled the top 500 most referenced publications from 252 different sources from 1992 to 2022 using the Web of Science database. Scientific output in these fields increased from 2016 to 2019, but we found a significant reduction from 2020 onwards. The top three countries generating single-country publications in this field are China, USA, and India. Although human activities have hampered the achievement of SDGs, many small, developing countries are still not involved in the scientific production of this field. Institutions in the USA, China, the UK, and Germany have a greater percentage of international collaborations than other countries. SDGs 3, 6, 7, 11, 12 and 13 are the most researched. The investigation produced helpful information and a full understanding of significant researchers, institutions, current scenario of study, rising trends, and relevant subjects for scholars as well as how that information is translated into actual SDGs attainment.

Globally, deforestation produces anthropogenic greenhouse gas (GHG) emissions, contributing substantially to climate change. Forest cover changes also have large impacts on ecosystem services. Deforestation is the dominant type of land cover change in tropical regions, and this land cover change relates to distinct causes recognized as direct deforestation drivers. Understanding these drivers requires a significant effort. Further, GHG emissions due to deforestation are quantified only in terms of biomass removal, while linking emissions from soil organic carbon (SOC) loss to deforestation is lacking. A closer picture of associated ecosystem service changes due to deforestation is also needed. We analyze for 2001–2010: (1) the magnitudes of deforestation drivers, (2) the related carbon loss, and (3) the ecosystem service value change. On the global scale, agriculture (90.3%) is the primary deforestation driver, where grassland expansion contributed the most (37.5%). The deforestation drivers differ in magnitude and spatial distribution on the continental scale. The total carbon loss by biomass removal and SOC loss accounted for 8797 Mt C and 1185 Mt C, respectively. Furthermore, tropical deforestation caused the ESV loss of 408 billion Int.$ year(^{-1}), while the resulting land cover has the ESV of 345 billion Int.$ year(^{-1}). Our findings highlight that agriculture substantially contributes to global carbon loss and ecosystem service loss due to deforestation. The deforestation drivers differ in magnitude and distribution for different continents. Further, we highlight the danger of putting a monetary value on nature.

Designing sustainable food and agricultural systems is a pressing need at a time when we already are at the low end of achieving SDG 13 (Climate Action) of reducing carbon emissions. In such a scenario, this study has the potential to provide an insightful framework for policymakers. The major objective of this study is to estimate the carbon sequestration of tree crops, and soil analysis in homestead agroforestry systems (AFS), monocropped rubber plantations, and monocropped coconut plantations in the Alappuzha and Kollam districts of Kerala. The soil carbon parameters analyzed were soil organic carbon (SOC) and labile carbon. Other parameters, such as pH and electrical conductivity of soil, were also measured. The soil of rubber plantations had the least pH (4.8) and EC (79 µS/cm). We found the tree carbon sequestration of rubber trees in the plantations to be the highest (13.8 t C ha⁻¹ year ⁻¹) followed by homestead AFS (2.68 t C ha⁻¹ yr⁻¹) and coconut tree plantation (2.08 ± 0.53 t C ha⁻¹ year⁻¹). The tree carbon sequestration potential was significantly (p = 0.003) influenced by the treatments. In soil, the SOC content was highest in the homestead AFS (2.48%). The labile carbon was also found to be higher in the homestead AFS (0.06%) but was least in rubber plantation (0.04%). These results indicate that even though the tree carbon sequestration of homestead AFS is lesser compared to that of large tree plantations such as rubber. The soil carbon pools and other physical and chemical properties of soil promote the valuable contribution that homestead can play in the sustainability of the environment and ensuring food security.

Understanding the diversity, abundance, and habitat preferences of the fauna is essential for determining the status and suggesting effective conservation actions. A study was conducted in Tirba Lake Awi zone, Ethiopia, to evaluate the wealth, diversity, and composition of the medium and large mammal communities. It is also important to consider how these parameters differ from one habitat type to another and from one season to another. Researchers collected data using a transect method. As a result of the study, 330 individuals and 11 different species of mammals were identified across four orders and six families. The result shows that globally threatened species like the Leopard (Panthera pardus) were included. In terms of seasonal variation in wild mammal abundance, the difference was statistically significant (P (le) 0.001). A total of 330 ± 26.2 wild mammals were recorded, of which 180 ± 11 (55%) were observed during the wet season and 150 ± 6.5 (45%) during the dry season. Olive Baboons (Papio Anubis) accounted for 30.61% of the 11 mammalian species with 101 individuals, followed by Vervet monkeys (Cercopithecus aethiops) with 16.67% and 55 individuals, respectively. Mammalian populations were statistically significant among habitat types, with the highest similarity index (SI = 0.8) observed between open forests and shrubland, followed by shrubland adjacent to Cliff sites (SI = 0.7). The shrubland habitat type (Hʹ = 1) supports the greatest diversity of mammalian species, followed by the open forest habitat type (Hʹ = 0.8). In terms of diversity among habitat types, dense forests had the lowest Hʹ value (0.5). Based on the species similarity index, open forest and shrubland shared the most similarity of mammalian species (Sl = 0.8), while shrubland and cliff sites hosted the least similar species (SI = 0.7). To conclude, our findings contribute significantly to the conservation of Ethiopia's mammal populations. As a result of our findings, managers of the area will be able to make effective conservation decisions, and researchers wishing to conduct related studies will be able to use the findings as a baseline for their research. Studies in the study area have revealed that anthropogenic factors interact with the mammals in the area, putting them at risk. It is imperative that these animals are protected through an urgent conservation program.

Rapid population growth and economic expansion affect environmental sustainability by raising emissions from increased urbanization, industrialization, and energy consumption in South Asia. Therefore, the current research aims to scrutinize the dynamic impacts of urbanization, industrialization, and energy consumption on carbon dioxide (CO₂) emissions in five South Asian countries (Bangladesh, Pakistan, India, Nepal, and Sri Lanka) under the umbrella of the famous stochastic regression for impact for technology, population, and asset on environmental condition (STIRPAT) model. This research employed the second-generation unit root and cointegration tests by applying the data from 1972 to 2021 to investigate the existence of slope heterogeneity (SH) and cross-sectional dependence (CSD) problem. After checking CSD, SH, unit root, and cointegration tests, the research utilized cross-sectional autoregressive distributive lag (CS-ARDL) as a baseline model and augmented mean group (AMG), mean group (MG), and common correlated effects mean group (CCEMG) as a robustness check. The evidence shows that the economic boom, urbanization, and industrialization increase CO₂ emissions. CO₂ emissions in South Asian nations have been reduced due to population growth, natural resources rent, and electrification. All estimators point to urbanization’s negative effects, being far more severe than any other environmental impact. Conversely, natural resource rent prevents environmental degradation more effectively than electricity. Therefore, it is recommended that South Asian economies adopt consistent, sustainable economic policies to reap the benefits of industrialization, urbanization, and increased electricity use. The findings are generally consistent with the policy implications.

This paper examines the neglected and underutilized crop diversity in four selected districts of the Eastern Region of Ghana to make conservation and production meaningful to local people. Through direct observation, key informant interviews, and focus group discussions, the study identified 27 neglected and underutilized crop species in the four districts. The availability of these crop species varies from high to moderate, including root and tuber, vegetables, cereals, fruits, trees, medicinal plant species, and legumes. According to the respondents, Garcinia kola was highly diverse in terms of spread. The commonly grown, but underutilized crop species included Dioscorea spp. (kookoo ase bayere and afasie), Ipomoea batatas (sweet potato), Colocasia esculenta (taro), Phaseolus spp. (white-Apatram), Capsicum chinense (Kpakposhito), and Solanum lycopersicum var. cerasiforme (Afii ntoose/Ntos pa). Neglected and underutilized crop species are essential for reducing high-input demand and enhancing climate-resilient agriculture. Ensuring the sustainability of the food system requires adding value to these crop species.

The concept of ‘ecosystem service’ has gained momentum in the twenty-first century to bridge the gap between human–nature interactions. However, the challenge remains to map the flow of ecosystem services (ES) for their efficient management. Among the multiple existing methods, biophysical assessments provide better knowledge of the state of the ecosystem and its mapping for complimentary services. Trait–service linkage is one of the tools to reliably link biodiversity with ES if we better understand the role functional traits play in the underlying ecosystem processes. In this paper, we have performed a bibliometric analysis of published literature on ES and plant functional traits to identify the current state of knowledge on trait–service linkage, biases, research gaps, and challenges. There was a skewed geographical basis for trait–service linkage studies; most studies were conducted in Europe and North America. The majority of the research focused on supporting and regulating ES, mainly carbon sequestration, biomass production, and climate regulation, using a particular set of vegetative traits, such as leaf, root, and plant height, and ignored most regeneration traits, except for a few flower traits. A matrix to quantify the association between ES and selected plant traits (specific leaf area, leaf dry matter content, leaf area, leaf nitrogen content, vegetation height, wood density, canopy density, root length, root density, flowering time, flower color and flower size) revealed that the two leaf traits (specific leaf area and leaf dry matter content) in the linkage have contrasting associations with multiple ES. The study illustrated that there is still a considerable research gap in linking plant traits with essential ES (biomass production, climate and water regulation). Thus, suggest future studies on ES should focus more on trait–service linkage across major ecosystems to underpin key ecosystem processes for better sustenance of ES and human well-being.