{"title":"Extensive Decline of Soil Nitrogen and Its Drivers in the Lake Victoria Basin of Tropical Africa (1996–2015)","authors":"Siyue Sun, Sophia Shuang Chen","doi":"10.1002/ldr.70045","DOIUrl":null,"url":null,"abstract":"The Lake Victoria basin, which houses over 20% of East Africa's population, is facing challenges of soil degradation and lake eutrophication. Understanding the spatio‐temporal dynamics of soil nitrogen and its reaction to both natural and anthropogenic factors is crucial for ensuring food security and environmental sustainability in the basin. This study utilized 3020 legacy soil samples and a Random Forest machine‐learning model to generate high‐resolution (250 m) soil nitrogen maps for the years 1996 and 2015 in this basin. The <jats:styled-content style=\"fixed-case\">GeoDetector</jats:styled-content> model was then used to analyze the factors influencing spatial and temporal variability of soil nitrogen. The results revealed an extensive decline in soil nitrogen density within the basin, from 503.02 g N m<jats:sup>−2</jats:sup> in 1996 to 466.61 g N m<jats:sup>−2</jats:sup> in 2015, indicating a decrease of approximately 7.24%, based on measurements at a 30 cm soil depth. The nitrogen stock decreased from 102.20 Tg N to 95.60 Tg N, resulting in a 6.60 Tg N decline, equivalent to an economic loss of 21.52 billion <jats:styled-content style=\"fixed-case\">USD</jats:styled-content>. Croplands accounted for 55.30% of this loss, or 3.65 Tg N. Forests exhibited the slowest decline in soil nitrogen density. However, a significant nitrogen decline occurred when forests were converted to other land uses. Deforestation has resulted in the loss of 2075.56 km<jats:sup>2</jats:sup> forest area, leading to a decline in soil nitrogen stock by 1.44 Tg N. Soil nitrogen in the basin showed notable spatiotemporal heterogeneity, with high‐value areas concentrated in the northeast and southwest, and low‐value areas mainly in the south. The variation in soil nitrogen in croplands is influenced by a combination of factors, including <jats:styled-content style=\"fixed-case\">GDP</jats:styled-content>, fertilizer consumption, temperature, and soil texture. These findings provide critical data and theoretical support for nitrogen dynamics research and soil management in the basin. They serve as an important reference for understanding nitrogen biogeochemical cycling in the tropical regions.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"48 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Land Degradation & Development","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1002/ldr.70045","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The Lake Victoria basin, which houses over 20% of East Africa's population, is facing challenges of soil degradation and lake eutrophication. Understanding the spatio‐temporal dynamics of soil nitrogen and its reaction to both natural and anthropogenic factors is crucial for ensuring food security and environmental sustainability in the basin. This study utilized 3020 legacy soil samples and a Random Forest machine‐learning model to generate high‐resolution (250 m) soil nitrogen maps for the years 1996 and 2015 in this basin. The GeoDetector model was then used to analyze the factors influencing spatial and temporal variability of soil nitrogen. The results revealed an extensive decline in soil nitrogen density within the basin, from 503.02 g N m−2 in 1996 to 466.61 g N m−2 in 2015, indicating a decrease of approximately 7.24%, based on measurements at a 30 cm soil depth. The nitrogen stock decreased from 102.20 Tg N to 95.60 Tg N, resulting in a 6.60 Tg N decline, equivalent to an economic loss of 21.52 billion USD. Croplands accounted for 55.30% of this loss, or 3.65 Tg N. Forests exhibited the slowest decline in soil nitrogen density. However, a significant nitrogen decline occurred when forests were converted to other land uses. Deforestation has resulted in the loss of 2075.56 km2 forest area, leading to a decline in soil nitrogen stock by 1.44 Tg N. Soil nitrogen in the basin showed notable spatiotemporal heterogeneity, with high‐value areas concentrated in the northeast and southwest, and low‐value areas mainly in the south. The variation in soil nitrogen in croplands is influenced by a combination of factors, including GDP, fertilizer consumption, temperature, and soil texture. These findings provide critical data and theoretical support for nitrogen dynamics research and soil management in the basin. They serve as an important reference for understanding nitrogen biogeochemical cycling in the tropical regions.
居住着东非20%以上人口的维多利亚湖盆地正面临着土壤退化和湖泊富营养化的挑战。了解土壤氮的时空动态及其对自然和人为因素的反应对确保流域粮食安全和环境可持续性至关重要。本研究利用3020个遗留土壤样本和随机森林机器学习模型生成了该流域1996年和2015年的高分辨率(250米)土壤氮图谱。利用GeoDetector模型分析了影响土壤氮素时空变异的因素。结果显示,流域内土壤氮密度从1996年的503.02 g N m−2下降到2015年的466.61 g N m−2,基于30 cm土壤深度的测量,下降了约7.24%。氮存量从102.20 Tg N下降到95.60 Tg N,造成6.60 Tg N下降,相当于215.2亿美元的经济损失。其中农田占55.30% (3.65 Tg n),森林土壤氮密度下降最慢。然而,当森林被转化为其他土地用途时,氮含量显著下降。森林砍伐导致森林面积减少2075.56 km2,土壤氮储量减少1.44 Tg n。流域土壤氮具有明显的时空异质性,高值区集中在东北和西南,低值区主要分布在南部。农田土壤氮的变化受GDP、肥料消耗、温度和土壤质地等因素的综合影响。这些发现为流域氮素动力学研究和土壤管理提供了重要的数据和理论支持。它们为了解热带地区氮生物地球化学循环提供了重要参考。
期刊介绍:
Land Degradation & Development is an international journal which seeks to promote rational study of the recognition, monitoring, control and rehabilitation of degradation in terrestrial environments. The journal focuses on:
- what land degradation is;
- what causes land degradation;
- the impacts of land degradation
- the scale of land degradation;
- the history, current status or future trends of land degradation;
- avoidance, mitigation and control of land degradation;
- remedial actions to rehabilitate or restore degraded land;
- sustainable land management.