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Divergent behaviour of soil nutrients imprinted by different land management practices in the Three Gorges Reservoir Area, China 中国三峡库区不同土地管理方式下土壤养分的差异表现
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-01 DOI: 10.1016/j.iswcr.2024.03.003
Soil nutrients are essentially regulated by land management practices via modulating biotic element input and metabolism. The Three Gorges Reservoir Area in China was dominated by a farming landscape, but land management has become diversified over recent decades. How these restorative management practices may have affected soil nutrients is not completely understood. In this study, a space-time substitution approach was applied to evaluate soil nutrients and their stoichiometric changes in response to post-farming land management practices. Soil samples (0–10 cm, 10–20 cm, and 20–40 cm) were collected from present-day croplands, cypress plantations, eucalyptus plantations, abandoned croplands, and citrus plantations. Soil organic matter, soil organic carbon, total nitrogen, alkaline hydrolyzed nitrogen, total phosphorus, and available phosphorus were determined. The results showed that soil organic matter and total nitrogen in abandoned croplands, cypress plantations, eucalyptus plantations and citrus plantations were increased by 186% and 190%, 184% and 107%, 45% and 33%, 45% and 54%, respectively, in comparison with those of present-day croplands. Soil nutrients except for total phosphorus decreased with soil depth by exclusion of tillage mixing. Comprehensive soil nutrient index showed that abandoned croplands (0.90) and cypress plantations (0.72) exhibited favorable nutrient recovery capacity. Soil C:P and N:P ratios increased in abandoned croplands, cypress plantations, and eucalyptus plantations. Phosphorus may become a limiting factor for plant growth with prolonged recovery in abandoned croplands, cypress plantations, and eucalyptus plantations, while soil organic matter and total nitrogen deficiencies were exacerbated in citrus plantations and present-day croplands. Therefore, cropland abandonment and reforestation (particularly cypress trees plantation) are recommended options for restoring soil nutrients in the Three Gorges Reservoir Area.
土壤养分基本上是由土地管理方法通过调节生物元素输入和新陈代谢来调节的。中国三峡库区曾以农耕景观为主,但近几十年来,土地管理变得多样化。这些恢复性管理措施如何影响土壤养分尚不完全清楚。本研究采用时空置换法评估土壤养分及其化学计量变化对耕作后土地管理措施的响应。土壤样本(0-10 厘米、10-20 厘米和 20-40 厘米)采集自现今的耕地、柏树种植园、桉树种植园、废弃耕地和柑橘种植园。测定了土壤有机质、土壤有机碳、全氮、碱性水解氮、全磷和可利用磷。结果表明,与现在的耕地相比,废弃耕地、柏树种植园、桉树种植园和柑橘种植园的土壤有机质和全氮分别增加了 186% 和 190%、184% 和 107%、45% 和 33%、45% 和 54%。除总磷外,土壤养分随着耕作深度的增加而减少。土壤养分综合指数显示,废弃耕地(0.90)和柏树种植园(0.72)表现出良好的养分恢复能力。废弃耕地、柏树种植园和桉树种植园的土壤碳:磷和氮:磷比率均有所上升。在废弃的耕地、柏树种植园和桉树种植园中,磷可能会成为植物生长的限制因素,并随着时间的延长而恢复,而在柑橘种植园和现在的耕地中,土壤有机质和全氮的缺乏会加剧。因此,废弃耕地和植树造林(尤其是柏树种植)是恢复三峡库区土壤养分的推荐方案。
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引用次数: 0
Modeling gully initiation by two codeless nonlinear methods: A case study in a small watershed on the Tibetan Plateau 用两种无码非线性方法模拟沟谷的形成:青藏高原小流域案例研究
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-03-29 DOI: 10.1016/j.iswcr.2024.03.002
Land and soil resources are scarce in the Tibetan Plateau, and the region is facing ecological pressure from climate warming and increasing human activities. As a major ecological problem, gully erosion is destroying land and soil resources on the Tibetan Plateau, but related research is limited, and susceptibility areas and influencing factors are unclear. Machine learning methods are often applied to study gully initiation susceptibility, but they require a programming foundation. Therefore, the Redui watershed on the southern Tibetan Plateau with severe gully erosion was selected to evaluate the susceptibility and influencing factors of gully initiation through 12 influencing factors including topography, human activity, and underlying surface conditions, and all 2310 gully headcut sites. Two non-code nonlinear modeling methods, the categorical Regression (CATREG) and geographical detector (Geodetector) methods, were first used in the spatial modeling of gully initiation susceptibility. The results showed that the gully initiation susceptibility of the hillslope around the alluvial fan was highest. The very high susceptibility areas of the CATREG model and Geodetector model account for 18.2% and 16% of the total, respectively. The main influencing factors of gully initiation were elevation, relief, and soil type recognized by CATREG, and elevation, human footprint, and soil type recognized by Geodetector. Elevation is the primary factor controlling downstream susceptibility in both models. The primary factors in the upper and middle reaches are soil type and relief identified by CATREG. Human footprint, soil type, and distance to road are primary factors in the upper and middle reaches identified by Geodetector. The explanatory power of elevation, elevation-relief interaction, Geodetector model and CATREG model were 39%, 54%, 46.4% and 73.8%, respectively, at extremely significant levels (P < 0.001), which means that the influencing factors were well considered and that the methods have great application potential in the future.
青藏高原的土地和土壤资源稀缺,该地区正面临着气候变暖和人类活动增加所带来的生态压力。作为一个主要的生态问题,沟壑侵蚀正在破坏青藏高原的土地和土壤资源,但相关研究有限,易发区和影响因素不明确。机器学习方法通常被用于研究沟壑的易发性,但需要一定的编程基础。因此,选择了青藏高原南部冲沟侵蚀严重的红堆流域,通过地形地貌、人类活动、地表基础条件等 12 个影响因素和全部 2310 个沟头切迹点,评估了冲沟形成的易感性和影响因素。首先使用了两种非编码非线性建模方法,即分类回归法(CATREG)和地理检测器法(Geodetector),对冲沟形成的敏感性进行了空间建模。结果表明,冲积扇周围山坡的成沟易感性最高。CATREG 模型和 Geodetector 模型的极高易发区分别占总易发区的 18.2% 和 16%。沟谷形成的主要影响因素是 CATREG 识别的海拔、地势和土壤类型,以及 Geodetector 识别的海拔、人类足迹和土壤类型。在这两个模型中,海拔都是控制下游易发性的主要因素。中上游的主要因素是 CATREG 识别的土壤类型和地形。人类足迹、土壤类型和与道路的距离是 Geodetector 确定的上游和中游的主要因素。高程、高程-地形交互作用、Geodetector 模型和 CATREG 模型的解释力分别为 39%、54%、46.4% 和 73.8%,均达到极显著水平(P < 0.001),这说明影响因素考虑周全,这些方法在未来有很大的应用潜力。
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引用次数: 0
Challenges and constraints of conservation agriculture adoption in smallholder farms in sub-Saharan Africa: A review 撒哈拉以南非洲小农农场采用保护性农业的挑战和制约因素:综述
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-03-20 DOI: 10.1016/j.iswcr.2024.03.001
Common farming practices in sub-Saharan Africa (SSA) such as intensive and repeated tillage, complete crop residue removal, and biomass burning create risks of soil degradation. To reduce these risks, conservation agriculture (CA) uses minimal soil disturbance, crop residue retention, and crop rotation in order to reduce soil erosion, improve soil quality and crop production, and facilitate climate change mitigation and adaptation. Nevertheless, CA adoption in SSA is extremely low. This paper aims to review current practices, challenges, and constraints to the adoption of CA in SSA. Our analyses show that CA is practiced in only about 1.25% of the total cultivated area in SSA, despite two decades of efforts to promote CA adoption among smallholder farmers. Specific difficulties in CA adoption by smallholder farmers in SSA may be attributed to i) lack of locally adaptable CA systems, particularly those integrating the needs of livestock production; ii) lack of adequate crop residues for surface mulch; iii) inconsistent and low crop yields; iv) lack of smallholder CA equipment for direct sowing; v) limited availability, high cost, and inadequate knowledge associated with the use of appropriate fertilizer and herbicides; and vi) lack of CA knowledge and training. Other problems relate to the management of specific soil orders, e.g., CA implementation on steeply sloping land and poorly drained soils such as Vertisols. CA adoption by smallholder farmers is also obstructed by socio-economic factors due to smallholder farmers’ focus on short term yield increases and their lack of access to markets, loans, and education. To facilitate wider adoption by smallholder farmers in SSA, CA approaches should be downscaled to fit the existing tillage tools and the specific agroecological and socio-economic farm settings.
撒哈拉以南非洲地区(SSA)的常见耕作方式,如密集和重复耕作、完全清除作物残留物和焚烧生物质,都会造成土壤退化的风险。为了降低这些风险,保护性农业(CA)采用了尽量减少土壤扰动、保留作物残茬和轮作的方法,以减少土壤侵蚀、提高土壤质量和作物产量,并促进减缓和适应气候变化。然而,撒哈拉以南非洲地区对 CA 的采用率极低。本文旨在回顾撒哈拉以南非洲地区采用 CA 的当前实践、挑战和制约因素。我们的分析表明,尽管二十年来一直在努力促进小农户采用 CA,但在 SSA,CA 的种植面积仅占总种植面积的 1.25%。撒南非洲小农在采用 CA 方面遇到的具体困难可归因于:i) 缺乏适应当地情况的 CA 系统,特别是那些结合畜牧业生产需求的系统;ii) 缺乏足够的作物残茬用于地表覆盖;iii) 作物产量不稳定且较低;iv) 缺乏直接播种的小农 CA 设备;v) 与使用适当肥料和除草剂相关的可用性有限、成本高且知识不足;以及 vi) 缺乏 CA 知识和培训。其他问题与特定土壤的管理有关,例如在陡坡地和排水不良的土壤(如 Vertisols)上实施 CA。小农户采用 CA 还受到社会经济因素的阻碍,因为小农户注重短期增产,缺乏进入市场、获得贷款和接受教育的机会。为促进撒哈拉以南非洲地区的小农更广泛地采用 CA 方法,应缩小规模,以适应现有的耕作工具以及特定的农业生态和社会经济农场环境。
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引用次数: 0
Agroecology-based land use/land cover change detection, prediction and its implications for land degradation: A case study in the Upper Blue Nile Basin 基于农业生态学的土地利用/土地覆被变化检测、预测及其对土地退化的影响:青尼罗河上游盆地案例研究
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-02-17 DOI: 10.1016/j.iswcr.2024.02.002
This study examined land use/land cover (LULC) changes in Chemoga watershed of the Upper Blue Nile Basin, comprising four distinct agroecological regions: Wet Wurch, Moist Dega, Moist Weyna Dega, and Moist Kolla. We used multi-temporal Landsat images from 1985 to 2020, a hybrid classification method and the Cellular Automata-Markov model to analyze historical and predict future (2020–2060) LULC changes under business-as-usual (BAU) and land conservation (LC) scenarios. Magnitudes and patterns of spaciotemporal LULC changes were analyzed using intensity analysis. Cropland expanded across all agroecologies from 1985 to 2020, with Moist Kolla experiencing the highest increase at the expense of woodland, due the introduction of commercial farming to this hotter, less populated and inaccessible area. Moist Dega exhibited the highest allocation changes within cropland and forest, attributable to farmers’ adoption of rotational land use to rehabilitate extensively degraded cultivated lands. Under the BAU scenario, projections suggest further cropland expansion at expense of woodland in Moist Kolla and built-up areas at the expense of cropland and grassland in Moist Dega. Under the LC scenario, forest cover is expected to increase at the expense of cropland across all agroecologies. The historical and projected BAU LULC change scenario substantially increased soil erosion and reduced ecosystem services. These effects can be minimized if LC scenario is properly implemented. The agroecology-based LULC intensity analysis reveals local drivers of change and associated impacts, providing vital insights for targeted land use planning in this study watershed and other watersheds facing similar challenges.
本研究考察了青尼罗河上游流域 Chemoga 流域的土地利用/土地覆被 (LULC) 变化情况,该流域由四个不同的农业生态区组成:湿润的 Wurch、湿润的 Dega、湿润的 Weyna Dega 和湿润的 Kolla。我们利用 1985 年至 2020 年的多时相大地遥感卫星图像、混合分类方法和细胞自动机-马尔可夫模型分析了历史上的 LULC 变化,并预测了在一切照旧(BAU)和土地保护(LC)情景下未来(2020-2060 年)的 LULC 变化。利用强度分析法分析了 LULC 空间时空变化的幅度和模式。从 1985 年到 2020 年,所有农业生态区域的耕地面积都有所扩大,其中湿润科拉(Moist Kolla)地区的耕地面积增幅最大,但林地面积却减少了,原因是在这一较炎热、人口较少且交通不便的地区引入了商业化耕作。德加湿润地区的耕地和林地分配变化最大,原因是农民采用轮作方式恢复大面积退化的耕地。在 "一切照旧 "情景下,预测结果表明,在 Moist Kolla,耕地面积进一步扩大,但林地面积却减少了;在 Moist Dega,建筑区面积扩大,但耕地和草地面积却减少了。在低碳经济情景下,预计所有农业生态的森林覆盖率都将增加,但耕地面积将减少。历史和预测的 BAU LULC 变化情景大大增加了土壤侵蚀,减少了生态系统服务。如果适当实施低碳方案,这些影响可以降到最低。基于农业生态的 LULC 强度分析揭示了当地的变化驱动因素和相关影响,为本研究流域和其他面临类似挑战的流域进行有针对性的土地利用规划提供了重要见解。
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引用次数: 0
VIS-NIR spectroscopy and environmental factors coupled with PLSR models to predict soil organic carbon and nitrogen 利用 VIS-NIR 光谱和环境因素以及 PLSR 模型预测土壤有机碳和氮
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-02-14 DOI: 10.1016/j.iswcr.2024.02.001
Soil profile organic carbon (OC) and total nitrogen (TN) are influenced by topographic attributes, and land use. The visible and near-infrared (Vis-NIR) spectroscopy method can be used for the prediction of OC and TN because it is reliable, nondestructive, fast, and cost-effective. VIS-NIR soil spectral and environmental data were combined with the Partial least squares regression (PLSR) model to examine the effect of topography attributes and land use on topsoil and subsoil OC and TN stocks. After this, based on the soil depth, 114 soil samples were collected from 0 to 20 cm (topsoil) and 20–50 cm (subsoil) under three land uses, as well as OC and TN, along with several soil properties including soil particles (sand, silt, clay), pH, and bulk density in both topsoil and subsoil samples were measured. A DEM with a resolution of 30 m was used to derive the topography factors and remote sensing data was used to calculate the vegetation index. Soils (0–50 cm) under orchard land use had the highest stock of SOC (7.4 kg m−2) as well as TN (2.4 kg m−2). There was a significant increase in the organic matter stock of soils located on the south aspect (8.3 kg m−2) compared to soils located on other aspects, particularly on the north aspect (3.9% increase). Soils on the south aspect contain higher soil-water contents and lower temperatures, resulting in a decrease in the decomposition of soil organic matter. A strong positive correlation was demonstrated between topography wetness index (0.57–0.63) and topography TN stocks (0.54–0.66) as well as the highest loading score among terrain attributes, suggesting that topography is the primary factor controlling SOC stocks, particularly subsoil stocks. Additionally, we found that soils on the south-facing aspects (N aspects) had the highest spectra. Additionally, the PLSR, which showed an R2 of 0.82, a RMSE of 0.15 %, and a RPD of 0.39 indicated excellent prediction capabilities for the OC content. We concluded that the PLSR model coupled with Vis-NIR spectroscopy is able to predict topsoil and subsoil OC and N content under different aspect slopes.
土壤剖面有机碳(OC)和总氮(TN)受地形属性和土地利用的影响。可见光和近红外(Vis-NIR)光谱法具有可靠、无损、快速和成本效益高的特点,可用于预测有机碳和全氮。将 VIS-NIR 土壤光谱和环境数据与偏最小二乘回归(PLSR)模型相结合,研究了地形属性和土地利用对表土和底土 OC 和 TN 储量的影响。随后,根据土壤深度,采集了三种土地用途下 0 至 20 厘米(表土)和 20 至 50 厘米(底土)的 114 个土壤样本,并测量了表土和底土样本中的 OC 和 TN 以及土壤颗粒(沙、粉土、粘土)、pH 值和容重等多种土壤特性。使用分辨率为 30 米的 DEM 得出地形系数,并使用遥感数据计算植被指数。果园用地土壤(0-50 厘米)中的 SOC(7.4 千克/平方米)和 TN(2.4 千克/平方米)含量最高。南面土壤的有机质储量(8.3 千克/平方米-2)比其他面的土壤明显增加,尤其是北面(增加 3.9%)。南面的土壤含水量较高,温度较低,导致土壤有机物分解减少。地形湿润指数(0.57-0.63)与地形 TN 储量(0.54-0.66)之间存在很强的正相关性,并且在地形属性中负荷分值最高,这表明地形是控制 SOC 储量(尤其是底土储量)的主要因素。此外,我们还发现朝南的土壤(北向)具有最高的光谱。此外,PLSR 的 R2 为 0.82,RMSE 为 0.15 %,RPD 为 0.39,表明其对 OC 含量具有出色的预测能力。我们的结论是,结合可见光-近红外光谱的 PLSR 模型能够预测不同坡度下表土和底土的 OC 和 N 含量。
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引用次数: 0
An integrative analysis of hydroclimatic elements in the three-river source region for historical and future periods: Shift toward an intensified hydrological cycle 对三江源地区历史和未来时期的水文气候要素进行综合分析:向强化的水文循环转变
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-26 DOI: 10.1016/j.iswcr.2024.01.005
Rashid Mahmood , Shaofeng Jia , Aifeng Lv , Mukand S. Babel
The Three-River Source Region (TRSR), China's water tower and an important ecological barrier in China, provides a considerable amount of water to the downstream regions, home to more than 500 million people. The present study focused on the assessment of hydrological components (i.e., precipitation, actual evapotranspiration, potential evapotranspiration, surface flow, baseflow, streamflow, soil moisture, snowmelt water, and terrestrial water storage), their transformation and trends along with meteorological elements (i.e., maximum temperature, minimum temperature, mean temperature, relative humidity, wind speed, and sunshine hours) in the historical and future periods. For this, the hydrological model, HEC-HMS, was applied to simulate hydrological components and Mann-Kendal to explore the trends for 1981–2015. First time, the statistical downscaling model, SDSM, was used to generate climatic data under the shared socio-economic scenario-5 (SSP585) in the region, which was applied to simulate the hydrological cycle. The assessment results showed that precipitation transformed into evapotranspiration and streamflow by 70 % and 30 %, respectively. In the region, streamflow was generated by 78 %, 22 %, and 5.6 % by baseflow, surface flow, and snowmelt. According to trend results, all climatic variables showed statistically significant trends but insignificant in all hydrological components for the historical period, except evapotranspiration. However, all hydroclimatic components were projected to increase in the future, except windspeed. For example, temperature, precipitation, evapotranspiration, streamflow, and direct flow (surface flow) will increase by 1.4 (3.3) °C, 12 (36) %, 8.5 (19) %, 25 (95) %, and 77 (473) % in 2021–2060 (2061–2100) relative to 1981–2020, which shows, the region will be hotter and wetter, with high flooding potential in the future. These results will be helpful for precise water resources planning and management in this extremely sensitive region to climate change.
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引用次数: 0
Generation of runoff in an alpine meadow hillslope underlain by permafrost 永久冻土层下高山草甸山坡径流的产生
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-23 DOI: 10.1016/j.iswcr.2024.01.004
Permafrost plays an important role in hydrological processes of alpine regions. The frost table in the active layer on the permafrost acts as an impermeable boundary and regulates water generation from hillslopes and its routing to streams. Past studies focused on modes or critical conditions of flow generation, rather than on the capacity of the active layer on the permafrost to recharge flow. This study aimed to characterize the role of supra-permafrost groundwater in the generation of runoff on hillslopes during the active layer thawing processes. The study focused on an alpine meadow permafrost hillslope located in the northeastern Tibet Plateau during the months of July and August in both 2021 and 2022. Hydrometeorological variables, including precipitation, air temperature, soil temperature, soil moisture, thaw depths, supra-permafrost groundwater level, and runoff generation were monitored in field. Partial Least Squares Path Modeling was selected to analyze the relations between the above variables. The results showed that infiltrated rainwater tended to move into deep thawed soil, following which the frozen layer forced horizontal transport along the hillslope. This indicated that thaw depths along the soil profile regulated the dominant runoff path. The accumulated precipitation of the previous days had a significant impact on runoff generation. There was minimal lateral subsurface flow when the saturated zone was absent, whereas lateral subsurface flow increased with increasing thickness of the saturated zone. Runoff generation on the hillslope was regulated by both thaw depths and the thickness of the saturated zone along the soil profile. This study can act as a reference for runoff generation processes of permafrost hillslopes.
永久冻土在高寒地区的水文过程中发挥着重要作用。永久冻土活动层中的霜冻层是一个不透水的边界,调节着山坡的水量及其向溪流的流动。以往的研究侧重于水流产生的模式或临界条件,而不是冻土活动层对水流的补给能力。本研究旨在确定在活动层解冻过程中上冻土层地下水在山坡径流产生过程中的作用。研究的重点是 2021 年和 2022 年 7 月和 8 月位于西藏高原东北部的高寒草甸冻土山坡。实地监测了水文气象变量,包括降水、气温、土壤温度、土壤水分、解冻深度、上冻土层地下水位和径流产生量。采用偏最小二乘法路径模型分析上述变量之间的关系。结果表明,渗入的雨水倾向于进入解冻的深层土壤,随后冻结层被迫沿山坡水平迁移。这表明,土壤剖面的解冻深度决定了径流的主要流向。前几天累积的降水对径流的产生有很大影响。在没有饱和带的情况下,地表下的横向流动很小,而随着饱和带厚度的增加,地表下的横向流动也在增加。山坡上的径流生成受土壤剖面解冻深度和饱和带厚度的调节。这项研究可为永久冻土山坡的径流生成过程提供参考。
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引用次数: 0
Response to comment by Daley et al., on “Assessing gully erosion and rehabilitation using multi temporal LiDAR DEMs: Case study from the Great Barrier Reef catchments, Australia” 对 Daley 等人关于 "利用多时相激光雷达 DEM 评估沟壑侵蚀和恢复:澳大利亚大堡礁集水区案例研究 "的评论
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-20 DOI: 10.1016/j.iswcr.2024.01.003
Sana Khan, Rebecca Bartley, Anne Kinsey-Henderson, Aaron Hawdon

Daley et al. (2023a) argue that at least 10–15 years apart Digital Elevation Model (DEM) derived DEMs of Difference (DoD) surveys are needed to detect reliable geomorphic change within the gullied landscapes of the Great Barrier Reef, Australia. We acknowledge that the reliability of observed geomorphic change increases as more subtle geomorphic processes are detected with longer monitoring periods. As further good quality long-term legacy datasets become available, we encourage utilising these to improve confidence in targeting erosion rehabilitation. However, our approach to consistently apply 2–3 year DoDs to contrasting gully morphologies enabled capture of more intense geomorphic processes acting over shorter timeframes and provided valuable and timely information on (i) contrasting erosional mechanisms and erosion rates between variable gully morphologies, and (ii) rehabilitation efforts undertaken. In this paper, we take the opportunity to concisely address all the concerns raised by Daley et al. (2023a).

Daley 等人(2023a)认为,要在澳大利亚大堡礁的沟壑地貌中发现可靠的地貌变化,至少需要相隔 10-15 年进行数字高程模型(DEM)导出的 DEMs of Difference(DoD)调查。我们认识到,随着监测时间的延长,可以检测到更微妙的地貌过程,观测到的地貌变化的可靠性也会增加。随着更多高质量的长期遗留数据集的出现,我们鼓励利用这些数据集来提高对侵蚀恢复目标的信心。然而,我们对不同沟谷形态持续应用 2-3 年的 DoDs 的方法能够在较短的时间范围内捕捉到更强烈的地貌过程,并为以下方面提供了宝贵而及时的信息:(i) 不同沟谷形态之间侵蚀机制和侵蚀速率的对比;(ii) 已开展的修复工作。在本文中,我们将借此机会简明扼要地回答 Daley 等人(2023a)提出的所有问题。
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引用次数: 0
Geospatial evaluation of the agricultural suitability and land use compatibility in Europe's temperate continental climate region 欧洲温带大陆性气候区农业适宜性和土地使用兼容性的地理空间评估
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-13 DOI: 10.1016/j.iswcr.2024.01.002
Land suitability assessment is used in conjunction with geographic information systems to spatially model diverse aspects of soil functions, having the potential to facilitate a sustainable increase in agricultural production, reduce land degradation, or aid humans in adapting to climate change. Compared to the existing datasets, this study provides a new higher resolution geospatial assessment of the agricultural land suitability for several crops and land uses in the temperate continental climate across Europe. To model the land suitability we used geospatial data depicting seventeen eco-pedological indicators (e.g. soil texture, pH, porosity, temperature, precipitation, slope). To evaluate how the land is utilized, the suitability maps have been spatially cross-tabulated with a crop map. Over the entire study area, wheat and barley showed significant suitable land in the southern part, potatoes, and sugar beet exhibited the highest extent of suitable land in the northern parts, while corn and sunflower exhibited a much lower extent of suitable land. Water table depth, precipitation, temperature, terrain slope, soil porosity, SOC, and topsoil texture emerged as the limiting factors for agricultural suitability in the study area. Our results show that the suitable arable land does not have space left for the expansion of crops, however, we have identified regions with extensive cultivation of wheat and corn on unsuitable land with the potential for cultivation of more suitable crops such as barley, sunflower, sugar beet, and potato. It seems that one action that can enhance agricultural practices in the study area is to better allocate each cultivated crop across more suitable lands.
土地适宜性评估与地理信息系统结合使用,可对土壤功能的不同方面进行空间建模,具有促进农业生产可持续增长、减少土地退化或帮助人类适应气候变化的潜力。与现有数据集相比,本研究对欧洲温带大陆性气候下几种作物和土地利用的农用土地适宜性进行了新的更高分辨率的地理空间评估。为了建立土地适宜性模型,我们使用了描述 17 个生态-植物学指标(如土壤质地、pH 值、孔隙度、温度、降水量、坡度)的地理空间数据。为了评估土地的利用情况,我们将适宜性地图与农作物地图进行了空间交叉对比。在整个研究区域内,小麦和大麦在南部显示出大量适宜土地,马铃薯和甜菜在北部显示出最大的适宜土地范围,而玉米和向日葵显示出的适宜土地范围要小得多。地下水位深度、降水量、温度、地形坡度、土壤孔隙度、SOC 和表土质地成为研究区域农业适宜性的限制因素。我们的研究结果表明,适宜的耕地并没有为扩大作物种植留下空间,但是,我们发现在不适宜的土地上广泛种植小麦和玉米的地区,有可能种植大麦、向日葵、甜菜和马铃薯等更适宜的作物。看来,加强研究地区农业实践的一项措施是将每种种植作物更好地分配到更合适的土地上。
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引用次数: 0
New empirical-point pedotransfer functions for water retention data for a wide range of soil texture and climates 针对各种土壤质地和气候条件的水分保持数据的新经验点植被转移函数
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-06 DOI: 10.1016/j.iswcr.2024.01.001
Knowing soil hydraulic properties is essential to support soil use and management practices; however, their measuring is commonly expensive and time-consuming. Thus, pedotransfer functions (PTFs) have been used to quantify physical properties such as the soil water retention curve (SWRC). SWRC relates the volumetric soil water content (θ) as a function of the matric potential (h) and plays a vital role in soil hydraulic modeling. Point-PTFs estimate key-points of the SWRC, often from measured texture, bulk density, and organic matter. This study aimed to formulate new point-PTFs to estimate θ(h) data ranging from θ(-0.1 m) to θ(-150 m) to be applied in subtropical, tropical and temperate soils. The PTF equations were derived from linear and non-linear regressions of measured soil physical properties against to the water retention data. The prediction performance of the new-formulated PTFs overcame the performance of already existing and widely-known PTFs recognized in the literature and can be, therefore, applied in soil water retention topics under a wider textural range.
了解土壤的水力特性对于支持土壤利用和管理实践至关重要;然而,测量土壤的水力特性通常既昂贵又耗时。因此,人们采用了脚印传递函数(PTF)来量化土壤水分保持曲线(SWRC)等物理特性。SWRC 将土壤容积含水量 (θ)作为母势 (h) 的函数,在土壤水力模型中发挥着重要作用。点 PTF 通常根据测量的质地、容重和有机质来估算 SWRC 的关键点。本研究旨在制定新的点 PTF,以估算从 θ(-0.1 m) 到 θ(-150 m) 的 θ(h) 数据,并将其应用于亚热带、热带和温带土壤。PTF 方程是根据土壤物理性质测量数据与保水数据的线性和非线性回归得出的。新配制的 PTF 的预测性能超过了文献中已有的、广为人知的 PTF 的性能,因此可应用于更大质地范围内的土壤保水专题。
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引用次数: 0
期刊
International Soil and Water Conservation Research
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