Search Results (1,563)

Land-use planning in ecologically sensitive landscapes requires balancing biodiversity conservation, ecosystem service provision, agricultural production, settlement expansion, and infrastructure demand within a single spatial system. This challenge is particularly significant in Mediterranean environments, where long-term land transformations and increasing development pressures intensify conflicts among competing land-use priorities. Accordingly, the present study develops an integrated spatial zoning and decision-support framework for Osmaniye Province, southern Türkiye. The framework integrates fuzzy multi-criteria evaluation, CatBoost-based machine learning, SHAP-based interpretability, and NSGA-II multi-objective optimization. The workflow followed a sequential decision process in which an expert-derived zoning surface was first established through fuzzy evaluation, reconstructed from continuous spatial predictors using CatBoost, interpreted through SHAP, and refined through NSGA-II under explicit spatial constraints. By using the expert-derived zoning surface as the learning target, the CatBoost stage aimed to evaluate the internal consistency and spatial learnability of the planning logic within a present-day zoning context. The results indicated that the integrated framework distinguished conservation, controlled-use, and development priorities while identifying the key environmental and anthropogenic drivers shaping class-specific zoning outcomes. The final zoning structure allocated 37.9% of the study area to conservation, 43.6% to controlled use, and 18.5% to development. The study shows that by including a transitional zone with varying proportions of conservation, controlled use, and development, a more balanced distribution among the three goals can be achieved compared to a fixed partition into these three zones. The findings further demonstrate that this approach is more effective than current zoning, which does not accommodate such trade-offs. Full article

Grain production resilience forms a critical foundation for national food security, and the ongoing development of land transfer provides essential momentum for establishing a more resilient grain production system. Using panel data from 30 provincial-level regions from 2013 to 2024, this study constructs a multi-dimensional evaluation system for grain production resilience and calculates the comprehensive grain production resilience index using the entropy value method. This study applies two-way fixed effects and mediation models to empirically analyze the impact of land transfer on grain production resilience and its underlying mechanisms. The results show the following: (1) Land transfer significantly enhances grain production resilience: a 1 percentage point increase in the land transfer rate leads to a 0.0014-point increase in the resilience index, equivalent to 0.64% of the sample mean, and this finding remains robust after model replacement, extreme value trimming, and variable substitution. (2) Land transfer exerts its positive effect through three mediating pathways: agricultural insurance (scale dimension), specialized farmer cooperation, and agricultural mechanization. (3) Heterogeneity analysis reveals significant regional differences: the enhancing effect is more pronounced in non-major grain-producing regions and areas with underdeveloped agricultural service systems; while in major grain-producing regions and high-service-level regions, the relationship presents an inverted U-shape, with turning points at 66.794% and 71.921% of the land transfer rate respectively. Accordingly, this study proposes that China should further improve the institutional design of land transfer to systematically support the development of grain production resilience, optimize relevant policy pathways, and implement region-specific measures for targeted and effective intervention. Full article

Agroforestry and perennial tree crop production systems, particularly in Mediterranean regions, exhibit a high degree of integration among trees, herbaceous, and soil components. They provide essential services including provisioning, regulation, support, and cultural services, which enhance human health, well-being, and economic stability. However, guaranteeing their long-term resilience in the face of environmental challenges, including drought and soil degradation, is essential for the sustainable management of these systems. We examine the impact of microsite conditions (soil and herbaceous layer) and their management on olive trees (Olea europaea L.) under varying levels of drought stress. A fully factorial design was implemented in a Spanish agroforestry system, combining two irrigation regimes (rainfed vs. summer irrigation) and two soil management practices (customary plowing vs. herbaceous layer conservation) across four independent and replicated zones. Twelve olive trees per zone were individually monitored, treating each tree as the experimental unit, with one 50 × 50 cm sampling plot per tree in which microsite conditions were characterized for each tree. Plowed areas (shallow tillage) showed lower industrial extraction yield (%), fat yield based on dry matter (%), olive maturity and phytosanitary status compared to areas conserving their herbaceous layer cover (0.81, 0.96, 0.92, and 0.65-fold lower, respectively). Rainfed areas (i.e., those without supplemental water supply) showed a reduction in both industrial extraction yield (%), olive yield (kg tree⁻¹) and oil yield (kg ha⁻¹) (0.77, 0.86 and 0.67-fold lower, respectively). Under combined tillage and water-deficit conditions, oil yield (kg ha⁻¹), industrial extraction yield (%), and total phenolic content (ppm) were considerably lower (0.50, 0.60, and 0.67-fold lower, respectively). Furthermore, low quality of the herbaceous layer dominated by nitrophilous invasive species were associated with decreased leaf nutrient content, lower industrial extraction yield, reduced olive maturity and poorer phytosanitary status of olives. These findings suggest that maintaining a spontaneous herbaceous layer with a high-quality species (legume incorporation) and well-managed herbaceous cover, i.e., repeated mowing of the herbaceous layer instead of customary plowing, can enhance sustainable olive production by improving soil resilience, reducing water stress, and optimizing nutrient use, thereby supporting long-term ecosystem stability and agricultural productivity. Full article

China’s agricultural development not only has the weakness of insufficient technological investment but also faces the constraint of a shortage of financial support. In this context, promoting the combination of technology with finance in agricultural production activities is very important for China’s agricultural modernization. Based on two batches of “the pilot policy for promoting the combination of science and technology with finance”, this paper investigates the policy effect and mechanism of sci-tech finance on agricultural production efficiency. The results show that sci-tech finance policy is able to promote the improvement of agricultural production efficiency significantly in pilot areas compared with non-pilot areas, and this treatment effect continues to expand over a long period after the implementation of the policy. In terms of space partition, the agricultural support effect of sci-tech finance not only shows regional heterogeneity but also performs better in cities with weaker technological innovation ability and a lower degree of financial deepening. The “offering fuel in snowy weather” effect on non-central cities is stronger than the “adding brilliance to its present splendor” effect on central cities. Lastly, the sci-tech finance policy successfully builds a long-term mechanism for policies to take effect at multiple points and continues to exert force from three aspects: accelerating the process of agricultural mechanization, promoting the development of modern rural industries and improving the human capital of farmers. The research conclusions provide policy recommendations for promoting science and technology finance from policy pilot to comprehensive promotion, and promoting and implementing the construction of agricultural power, for example, by “strengthening agricultural science and technology and equipment support” and “improving [the] rural financial service system” proposed by the report of the 20th National Congress. Full article

Blue–green spaces serve as the core carriers of urban ecosystems, and their conservation and optimization have emerged as pivotal issues in territorial spatial planning and ecological governance. Taking Guilin, a national innovation demonstration zone for China’s Sustainable Development Agenda, as the study area, a deep learning-based DBDTAF-Net classification model is constructed using 2020 Sentinel-2 remote sensing imagery and AW3D30 Digital Surface Model (DSM) data. The model achieves a mean Intersection-over-Union (mIoU) of 86.05% on the test set and an IoU of 94.67% for rocky desertification areas. Based on the classification results, 21 derived indicators (including landscape patterns of BGSs) and six meteorological and topographic factors, alongside three core ecosystem service indicators—Aboveground Biomass (AGB), Net Primary Productivity (NPP), and soil conservation—are extracted to characterize their spatial patterns. The XGBoost-SHAP framework is employed to quantify the driving effects and threshold responses of BGS patterns on ecosystem services. The results indicate that (1) BGSs in Guilin display a spatial pattern of “green-dominated, blue-supplemented, generally contiguous yet locally fragmented,” and all three ecosystem services exhibit significant spatial clustering. (2) Landscape pattern factors of green spaces constitute the dominant influencing factors, with contribution rates ranging from 22.3% to 28.6%. Specifically, green space_COHESION demonstrates a stable linear positive effect. A green space ratio below 45% suppresses AGB, whereas exceeding 45% shifts to a positive effect and represents an efficient enhancement interval for NPP while exerting a continuously positive influence on soil conservation. A cultivated land proportion below 30% leads to a strongly increasing inhibitory effect on AGB and soil conservation, whereas its inhibition on NPP weakens beyond 20%. A construction land proportion exceeding 10% significantly suppresses NPP, and the inhibitory effect stabilizes above 20%. Green space patch density below 0.8 shows a pronounced negative effect, which diminishes above 0.8. Blue space factors exert relatively weak effects. (3) The ecosystem service supply capacity varies across functional zones in Guilin, with the ecological barrier zone performing the best, the modern agricultural zone performing moderately, and the six central urban districts of the Shanshui Metropolis Area exhibiting the lowest levels. This study provides a technical framework for high-precision extraction of urban BGSs and quantitative analysis of factors influencing ecosystem services, offers decision support for ecological conservation and restoration in Guilin, and furthermore proposes insights for the coordinated development of rational land resource utilization and ecosystem service enhancement in other karst cities. Full article

Scientific and accurate agronomic knowledge is key to ensuring efficient wheat production. China’s vast agricultural land spans a wide range of longitudes and latitudes, and agronomic practices are closely tied to temporal factors such as wheat growth stages. So agronomic knowledge exhibits significant spatiotemporal variability. Constructing a spatiotemporal knowledge graph of wheat production can offer multi-dimensional data support and enabling deeper knowledge services. Wheat agronomic knowledge is often fragmented and unstructured and efficiently extracting text segments of agronomic knowledge and agronomic knowledge triples are two key challenges. Because of the high proportion and significant production service value of attribute values in agronomic knowledge, an attribute-rich agronomic knowledge graph schema was created. According to the characteristics of agronomic texts, a keyword attention mechanism (KAM) was proposed and integrated with an improved BERT model for sentence-level feature extraction to create an extraction model AgronomicCorpusExtraction for agronomic knowledge text corpora. The agronomic knowledge of wheat production is characterized by non-standard syntax, complex multi-layer structures, diverse entity expression methods, and a wide span of scope, and existing extraction methods cannot achieve satisfactory results. To address the issue, a joint extraction model AgronomicTripleExtraction was proposed to extract entities, attributes, and relations in different phrases, firstly the BERT and BiGRU were used jointly to extract the long and short distance features, and the CRF was used by global normalization joint modeling to extract attributes, then intermediate features between the same type of attributes extracted by average pooling to segment different entities. At last, a relation-aware relation feature enhancement (RAFE) method was created and a MLP was used to extract relations based on the relation matrix constructed from the knowledge graph schema. Ablation experiments were conducted to evaluate the performance for AgronomicCorpusExtraction with and without KAM and that for AgronomicTripleExtraction under four conditions, the model with BiGRU, RAFE, and entity segment, without BiGRU, without RAFF, and without entity segment. The results indicate that the use of KAM improves F1-score by 0.128 and AgronomicTripleExtraction achieves F1 of 0.897, 0.875, 0.871 for attribute, entity and relation extraction when using the three modules simultaneously, and removing any single module leads to a certain degree of performance degradation. Comparative experiments were conducted between AgronomicTripleExtraction and some related state-of-the-art models published recently. Full article

Agricultural crop residue burning is a major driver of seasonal PM2.5 pollution and greenhouse gas (GHG) emissions in Northern Thailand. This study quantified GHG emissions from the open burning of rice, maize, and sugarcane residues across six provinces (Chiang Mai, Mae Hong Son, Lampang, Uttaradit, Nakhon Sawan, and Kamphaeng Phet) from 2019 to 2024 using the 2006 IPCC emission methodology. Spatiotemporal patterns of fire hotspots were characterized using MODIS and VIIRS satellite data, combined with kernel density estimation (KDE) and land-use classification in ArcGIS Pro. Total non-CO₂ GHG emissions (CH₄ and N₂O, expressed as CO₂-eq using GWP100 from IPCC AR5) over the six years totaled 2,599,551 tCO₂-eq, with major rice contributing the largest share (35%), followed by sugarcane (24%), second rice (21%), and maize (20%). Nakhon Sawan was the leading emitter (41%), reflecting its extensive rice and sugarcane cultivation. Pearson correlation analysis revealed consistently positive relationships between daily fire hotspot counts and PM2.5 concentrations (r = 0.30–0.84), with the strongest correlations observed in Mae Hong Son, where basin topography traps pollutants. Time-series analysis confirmed pronounced seasonal PM2.5 peaks that exceeded Thailand’s 24-h NAAQS limit (37.5 μg/m³) by 7–9 times in severe years. Biochar production via pyrolysis was evaluated as a zero-burning alternative, with an estimated annual carbon sequestration potential of 2.3–3.5 million tCO₂-eq, substantially exceeding emissions from open burning. These findings indicate that crop-residue valorization options—including biochar production, composting, and biochar co-compost—could theoretically offset agricultural GHG emissions and reduce field-burning PM2.5 emissions in Northern Thailand. However, the realized mitigation will depend on (i) verification of biochar long-term stability in tropical Thai soils through dedicated in situ trials, (ii) economic incentives that offset biochar production costs of approximately 1500–3500 THB per tonne, and (iii) integration within a policy mix that combines burning bans, mechanization support, and farmer extension services. Without these enabling conditions, biochar should be regarded as a future-perspective option rather than an immediately deployable solution. Full article

Agricultural total factor productivity (ATFP) serves as the core driver and a critical benchmark for high-quality agricultural development. Utilizing panel data from 31 Chinese provinces (2012–2023), this study examines the impact, mechanisms, and heterogeneity of agricultural digital infrastructure construction (ADIC) on ATFP. Results show that digital infrastructure significantly promotes ATFP with a distinct non-linear acceleration. Specifically, once development surpasses a critical threshold (1.5416), marginal contributions increase substantially, marking a transition of digital dividends from “accumulation” to “explosive release.” Mediation analysis identifies green technological innovation and farmland scale management as key pathways, accounting for 11.4% and 12.5% of the total effect, respectively. This confirms ADIC enhances ATFP through a technical innovation effect and a scale operation effect. Regional heterogeneity is significant: digital infrastructure yields significant positive impacts on main food consumption and balanced areas, whereas results for main grain-producing areas remain statistically insignificant. Based on these conclusions, it is recommended that policymakers maintain strategic focus by proactively deploying rural digital infrastructure to surpass critical thresholds, implementing differentiated regional strategies, and effectively translating digital dividends into endogenous momentum for high-quality agricultural development through the integrated application of green technologies and the improvement of farmland transfer service systems. Full article

Food security and sustainable agriculture, as components of the Zero Hunger goal (SDG 2) under sustainable development, have garnered significant attention from countries worldwide. Enhancing agricultural green total factor productivity (AGTFP) contributes to the achievement of sustainable development. Agricultural socialized services serve as a key means of boosting AGTFP and realizing sustainable development. Based on data from 1534 counties in China from 2007 to 2023, this study employed methods such as the super-efficiency SBM-GML index, a two-way fixed-effects model, and a moderation model to examine the impact of agricultural socialized services on AGTFP, with a particular focus on the moderating role of land scale management. The findings indicate a nonlinear, inverted U-shaped correlation between agricultural socialized services and AGTFP, driven by both the “quantity” and “quality” aspects of these services. Simultaneously, land scale management significantly moderates this relationship. Specifically, the curve’s inflection point shifts leftward and flattens as land scale management intensifies. Furthermore, agricultural socialized services exhibit greater effectiveness in improving AGTFP in major grain-production areas and low regional fiscal pressure regions. These findings provide valuable insights into sustainable agriculture development in China, offering guidance for other developing nations in similar circumstances. Full article

Spain is the world’s leading producer and exporter of olive oil, with Andalusia being the autonomous community with the largest cultivated area. In recent decades, agricultural practices have followed a trend toward maximizing production without adequately considering ecosystem contamination. Olive groves are, in fact, complex agroecosystems in which thousands of plant species and numerous plant communities have been documented, supporting a rich diversity of vertebrate and invertebrate fauna. Intensive and unsustainable practices have led to a decline in floral diversity and, consequently, in faunal diversity. The aim of this research is to demonstrate the loss of floristic diversity associated with herbicide use. To this end, a comparative analysis of floristic diversity was conducted across 117 plots, contrasting data collected in 2007 with that from the same plots in 2021. From a methodological perspective, an inquiry-based approach was implemented involving students from the Master’s program in Olive Growing, Olive Oil, and Health. Abundance–dominance indices were compared, and the Importance Value Index (IVI) was calculated to assess changes in plant community composition. For instance, Hordeum leporinum exhibited an IVI > 70 in 2007, decreasing in 2021 to values ranging between 11 and 31.58. Similarly, Sinapis alba subsp. mairei showed a decline in IVI from 81.06 to 26.35. A notable result is the greater floristic change observed in plots located on basic substrates where herbicides were applied, compared to plots on siliceous substrates designated for grazing. This issue clearly highlights a lack of knowledge regarding appropriate cultivation techniques that promote sustainable development and social awareness. It underscores the need for educational interventions that foster learning at all levels about agricultural practices, sustainability, and ecosystem services. Full article

Against the backdrop of increasingly severe agricultural labor aging (ALA), the aging process not only threatens food security but also poses challenges to green and sustainable agricultural development. Existing studies have paid insufficient attention to how ALA simultaneously affects grain production efficiency (GPE) and grain eco-efficiency (GEE), and there is a particular lack of systematic investigation into the moderating roles of different crop types and social networks. To address this gap, this study utilizes survey data from 1056 farm households across five major grain-producing provinces in China and employs Tobit regression models to empirically examine the dual effects of ALA on GPE and GEE, while also revealing the moderating mechanisms of formal and informal dual-layer social networks. The main findings are as follows: (1) ALA generally inhibits both GPE and GEE across different grain crops, with a more prevalent negative impact on GEE. (2) The impact of ALA on the two types of efficiency exhibits crop-specific nonlinear characteristics: a positive U-shaped relationship for maize, an inverted U-shaped relationship for rice, and no significant nonlinear relationship for wheat. (3) Social networks play significant linear and nonlinear moderating roles in mitigating the negative effects of ALA, though their effects vary depending on network type, crop system, and efficiency dimension. Based on these findings, it is recommended to implement differentiated intervention strategies tailored to crop characteristics and aging stages, build a multi-tiered social network support system, and strengthen the research, extension, and service support for green technologies targeting middle-aged and older farmers, thereby synergistically enhancing grain production capacity and ecological sustainability. Full article

Carbon is an essential component in the regulation of climate systems through the global biogeochemical cycle. However, changes in land use/land cover (LULC) have reduced the capacity of terrestrial ecosystems like watershed to store carbon. This shows the need for a policy framework that balances conservative objectives with agricultural demands, as watersheds are required to support carbon storage and food production. Previous studies have generally assessed carbon dynamics or LULC change separately, with limited integration of policy-driven scenarios. Therefore, this study aimed to conduct multi-scenario carbon storage modeling to evaluate LULC protection strategies in the Cimanuk Watershed, Indonesia, an area experiencing significant LULC pressures. The method used consisted of Support Vector Machine (SVM)–Markov, the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST), Geodetector, and Getis-Ord Gi*. A total of four scenarios were used to project LULC and carbon storage in 2042, which included Business as Usual (BAU), Paddy Field Protection (PFP), Forest Protection (FOP), and Paddy Field and Forest Protection (PFFOP). The results showed that forest area declined by 39,400 ha between 2015 and 2025, thereby reducing carbon storage. The PFFOP scenario was identified as the most viable, combining the protection of paddy fields and forests to balance agricultural production and carbon sequestration. Among the factors analyzed, slope exerted the greatest influence on carbon storage. Spatial cluster analysis showed that carbon hotspots were predominantly located in the upper Cimanuk sub-watershed. These results offered valuable insights into scenario-based sustainable watershed management to optimize carbon storage and maintain agricultural function. Furthermore, the proposed framework showed promising potential for application in other tropical watersheds, serving as a reference for decision-makers in sustainable watershed management. Full article

Brazil holds 13% of the global biodiversity; however, agricultural expansion threatens its biomes. Farmers are pivotal for conservation, as 71% of the country’s territory is rural property. A ‘citizen science’ project, which engaged students and farmers to monitor wildlife in forest remnants using camera traps was carried out in a rural municipality located in the Atlantic Forest biome. The endangered species Puma concolor and the invasive species Sus scrofa, alongside other native fauna, were documented in the area. In addition to securing these new records, the project aimed to open dialogs, fight misinformation, and strengthen local partnerships. It highlighted how community-based science can bridge the gap between biodiversity conservation and agricultural production. Full article

Rapid urbanization has aggravated challenges in sustaining the peri-urban rice farming sector. Challenges arising from rapid urbanization threaten rice farmers in peri-urban areas because of increasing economic and land pressures. This has caused significant marginalization among rice farmers. In Indonesia, despite contributing 13.28% of the national gross domestic product (GDP) in 2021, the agricultural sector is dominated by marginal farmers who struggle with poverty and lack land ownership. This study aims to identify different pathways for the marginalization of rice farmers by integrating spatiotemporal land use and land cover (LULC) change analysis, landscape fragmentation metrics, and systems thinking (ST) through causal loop diagrams (CLDs). Furthermore, an attempt to reconceptualize the term marginal rice farmers is made by considering the total number of cultivated rice fields and broader factors that contribute to the feedback loop of marginalization. This study shows that rice farmer marginalization in peri-urban areas is caused by small land size or poverty, and the interactions between ecosystem service degradation, productivity decline, economic pressure, and land conversion differ across landscape configurations. Moreover, this study enhances the understanding of peri-urban agricultural transformation and provides landscape-sensitive policy insights to support inclusive and resilient agricultural systems by reconceptualizing the marginalization of rice farmers as a dynamic socio-spatial process. Full article

This review provides insights on livestock farming in the Mediterranean regions, highlighting strengths, weakness, opportunities and threats. Biodiversity conservation and production of high-value, certified products are the main strengths of Mediterranean livestock systems. On the contrary, depopulation, low productivity and poor infrastructure and dependence on public subsides represent the main weaknesses of these systems. Climate change, market volatility and competition with intensive animal rearing systems are threats for Mediterranean livestock farming. A significant opportunity for Mediterranean livestock farming is represented by the presence of drought-tolerant native breeds and ecosystem services that contribute both to agricultural productivity and to ecosystem resilience and socio-cultural activities. Strategies that can promote local animal production in the Mediterranean region are provided with a focus on the Gentile di Puglia breed. Full article