Biosphere, Volume 1, Issue 1 (December 2025) – 6 articles

Analysis of historical and future land use/land cover (LULC) dynamics using spatiotemporal data is crucial for better management of natural resources and environmental monitoring. This study investigated LULC transformations over a span of 60 years (1984–2044) for the Giba basin in northern Ethiopia. ArcGIS and the Cellular Automata and Artificial Neural Network (CA-ANN) model were used to develop the historical (1984, 2004, 2014, and 2024) and projected future (2034 and 2044) LULC maps of the basin, respectively. The results show that LULC categories experienced shifts from one class to another by 35%, 33%, and 40% in 2004–2014, 2014–2024, and 2004–2024, respectively. During 1984–2024, the largest and smallest percentage of positive changes were observed in settlement (7700%) and shrubs and bushes (25%), which increased from negligible to 78 km² and from 1668 km² to 2082 km², respectively. Furthermore, barren land and forestland showed the largest (−80%) and smallest (−37%) declines, which decreased from 956 km² to 187 km² and from 164 km² to 103 km² during the same period, respectively. Overall, the last 40 years witnessed considerable changes to LULC dynamics in the Giba basin. Cropland, water bodies, and settlements showed a continuously increasing trend throughout the historical study period, while grassland exhibited a continuous decreasing trend. Results of the CA-ANN model showed that the majority of the LULC categories (including water body, forest, bushes and shrubs, grassland, and barren land) will decrease, except for a slight increase of cropland (+6%) and settlements (+16%), which is projected to increase from 2570 km² to 2733 km² and from 78 km² to 91 km², respectively, in the next two decades, from 2024 to 2044. In general, high population increase, changes in government policies, and armed conflicts were found to be the most influential driving factors of LULC changes in the basin. Full article

Potassium (K) is present in soils mainly in minerals, including feldspar. However, most of it is unavailable to plants. In the in-dyked alluvial soils of the Mekong Delta, available K is typically low despite the abundance of K-bearing feldspar, leading to nutrient imbalances and yield constraints. This study aimed to (i) select potential feldspar-potassium-solubilizing purple nonsulfur bacteria (K-PNSB), (ii) determine their ability to enhance hybrid maize seed vigor (Zea mays L.), and (iii) evaluate their effects on the growth of maize seedlings. Fifty-eight K-PNSB strains were isolated from maize-cultivated in-dyked alluvial soils, with soluble K concentrations ranging from 0.108 to 15.0 mg L⁻¹. Among these, strain M-Sl-03 released the highest K concentration under microaerobic light conditions, whereas strains M-Sl-01 and M-Sl-06 produced best under aerobic dark conditions. In addition, two more strains, M-Sl-02 and M-Wa-06, were also selected for their K solubilization ability. The selected strains were identified as Cereibacter sphaeroides strains M-Sl-01 and M-Sl-02, Rhodopseudomonas palustris strain M-Sl-03, and Rhodoplanes pokkaliisoli strains M-Sl-03 and M-Wa-06, according to their 16S rDNA region. None of them exhibited toxicity to germinating maize seeds. Both individual strains and the five-strain mixture significantly improved seed vigor. At a 1:1000 dilution, individual and mixed inoculants increased the vigor index of maize seeds by 47.5–68.8%. In addition, the selected PNSB strains contributed to improving the growth of maize seedlings, particularly plant height and root dry biomass. These promising strains have potential for application as biofertilizers to support hybrid maize cultivation. Full article

Organo-mineral fertilizers can slow N release to plants, reducing N losses to the environment and enhancing N use efficiency (NUE). Yet, this greater NUE is not always coupled to greater crop yields, which warrants further investigation. Here, we assessed the relationship between N-NH₃ losses from volatilization and wheat (Triticum aestivum L.) biomass and N status. The following treatments were tested: conventional urea (U, 45% N), urea treated with NBPT (N-(n-butyl) thiophosphoric triamide) (U + NBPT, 45.6% N), S-coated urea (U + S; 37% N), Se-coated urea (U + Se; 45% N), organo-mineral fertilizer Azoslow 29 (OMF, 29% N + 50% Azogel^®). The above treatments and non-fertilized control were tested in two soils (LVd and LVAd, 71 and 25% clay, respectively). Semi-open static collectors were used to determine N-NH₃ volatilization 1, 2, 4, 8, 11, 15, 18, 23, 29, and 36 days after application of treatments. Wheat was cultivated for 35 days, and shoot dry mass and total leaf N were determined after harvest. Cumulative N-NH₃ losses from OMF (27 and 32% of N applied in the LVd and LVAd soils, respectively) did not differ from U and (26–32%) and U + Se (24–31%), likely due to organic matter inputs enhancing urease activity in soils. Nevertheless, OMF resulted in 2–4 times greater wheat dry matter than U, U + Se, and U + S, with similar dry mass of U + NBPT for LVAd soils. OMF application enhanced total N removal in wheat leaves relative to the unfertilized control and most N sources. N-NH₃ losses did not reduce biomass yield, but were negatively linked to N accumulation in wheat. The OMF enhanced wheat biomass and nutrition while sustaining environmental quality and promoting circularity in agroecosystems. Full article

The Kunming-Montreal Global Biodiversity Framework (GBF) is an important agreement committing 196 countries (the United States is not part of GBF) to reduce and stop the loss of biodiversity by 2030. Biodiversity and soil diversity (pedodiversity) are intricately linked by sharing biosphere. Similarly to biodiversity, pedodiversity is classified using various classification systems adopted by countries in the world (e.g., United States Soil Taxonomy). The loss of pedodiversity is often caused by land use and land cover (LULC) changes, which impact biodiversity. These losses need to be acknowledged and accounted for by the GBF. The innovation of this study is that it proposes to include pedodiversity and its metrics into the GBF using the contiguous United States of America (USA) and GBF targets as an example. This study proposes to use geospatial technologies (e.g., land cover change matrix) linked to soil databases to monitor temporal changes and no net loss in pedodiversity. Loss of pedodiversity can result in damages (e.g., pollution), which can harm biodiversity and ecosystem functions and services (ES). As of 2021, over two million square kilometers were anthropogenically degraded in the contiguous USA, with all ten soil orders being affected by this degradation (relevant to target ten focused on the sustainable use of natural resources). Analysis of changes in LULC between 2001 and 2021 showed an increase in anthropogenic land degradation (LD) (+3.4%), which resulted in a net loss of pedodiversity and affected all of the ten soil orders in the contiguous USA. Future GBF refinements could use pedodiversity metrics to analyze the ability to support biodiversity. Full article

Wetlands provide the world with important ecosystem services (ES) including carbon (C) storage. The Ramsar Convention (RC) is the only global treaty on wetlands outside of the United Nations (UN) with 172 contracting parties across the world as of 2025. The goals of the convention are to promote the wise use and conservation of wetlands, designation of suitable wetlands as wetlands of international importance, and international cooperation. The problem is that there is no consensus for standard global analysis, which is needed to ensure wetlands conservation. The novelty of this study is the use of methodology that combines satellite-based land cover change analysis with high-resolution spatial databases to help understand the change in wetlands area over time and identify potential hotspots for C loss. Greenhouse gas (GHG) emissions from wetland conversions represent “transboundary” damages. Therefore, C loss from wetlands conversions can be expressed through the “realized” social cost of C (SC-CO₂) which is a conservative estimate of the damages caused by carbon dioxide (CO₂) release. A case study of the contiguous United States of America (USA) using raster analysis within ArcGIS Pro showed key findings that almost 53% of the wetlands area was lost between 1780 and 1980, starting with 894,880.7 km² in 1780 and falling to 422,388.2 km² in 1980. This net loss generated damages including midpoint total soil C loss (6.7 × 10¹³ kg of C) with associated midpoint “realized” social costs of C (SC-CO₂) value of $11.4T (where T = trillion = 10¹², $ = United States dollars, USD). Recent analysis of the contiguous USA (2001–2021) revealed wetlands area losses and damages in all states. The newly demonstrated method for rapid monitoring of wetlands changes over time can be integrated into systems for worldwide monitoring to support the RC wise use concept. Full article