丹麦柳树-家禽综合有机系统的硝酸盐沥滤和氮平衡

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Kiril Manevski , Sanna Steenfeldt , Anne Louise Frydendahl Hellwing , Heidi Mai-Lis Andersen , Uffe Jørgensen
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引用次数: 0

摘要

背景将室外家禽生产与农林业相结合既能促进生产,又能提高动物福利,但有关田间硝酸盐沥滤和土壤氮(N)平衡的数据却很少。目的本研究旨在量化饲料(大豆部分由当地生物质提炼的 "绿色 "蛋白质替代)和饲养密度(低密度,6 平方米母鸡-1;高密度,4 平方米母鸡-1)对沙质土壤上室外家禽系统与柳树和草农林结合的硝酸盐沥滤和土壤氮质量平衡(投入减去产出)的影响。实验在丹麦的 "有机 "环境中进行,土壤为粗砂土,种植了多年生草-三叶草和柳树短轮伐。根据 1 米深处测量到的土壤硝酸盐浓度和基于过程的 Daisy 模型模拟的水通量,确定了一个完整的水文年(包括春-夏-秋放牧期以及冬季和次年春季)的硝酸盐沥滤情况。与草区(154 ± 28 kg N ha-1)相比,柳树区的硝酸盐沥滤量(26 ± 14 kg N ha-1)明显较低。在因子水平上,低饲养密度与高饲养密度相比,硝酸盐浸出量相当,且略低于高饲养密度。饲料输入和粪便输出是围场中的主要氮流,导致高饲养密度和低饲养密度下的地表氮平衡分别为 1198-1241 千克氮/公顷和 843-875 千克氮/公顷。土壤氮平衡比地表氮平衡低 26%,不同饲料系数的土壤氮平衡相似,低饲养密度和高饲养密度的土壤氮平衡分别为每公顷 614-634 千克氮和每公顷 899-906 千克氮。将母鸡的饲养密度降低 33%,可使土壤中的氮平衡降低约 36%(33%-38%),但仍需采取进一步措施,将氮平衡降低到适合农业土壤环境的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Nitrate leaching and nitrogen balances for integrated willow-poultry organic systems in Denmark

Nitrate leaching and nitrogen balances for integrated willow-poultry organic systems in Denmark

CONTEXT

Integrating outdoor poultry production with agroforestry promotes both production and animal welfare, but very little data exist on field nitrate leaching and soil nitrogen (N) balances.

OBJECTIVE

The objective of the study was to quantify the effect of feed (soybean portion was partly replaced with ‘green’ protein from refined local biomass) and stocking density (low, 6 m2 hen−1, high, 4 m2 hen−1) on nitrate leaching and soil N mass balance (inputs minus outputs) in outdoor poultry systems combined with willow and grass agroforestry on sandy soils.

METHODS

The experiment was conducted in “organic” settings in Denmark on coarse sand soil cultivated with perennial grass-clover ley and short-rotation coppice with willow trees. Nitrate leaching was determined from soil nitrate concentrations measured at 1 m depth and water fluxes simulated by the process-based model Daisy for one full hydrological year involving the grazing period of spring-summer-autumn, and the winter and following spring.

RESULTS AND CONCLUSIONS

Observed soil nitrate concentrations were considerably lower and less variable in the willow zone compared to the grass zone. Nitrate leaching was significantly lower in the willow (26 ± 14 kg N ha−1) compared to the grass zone (154 ± 28 kg N ha−1). At factor level, nitrate leaching was comparable and marginally lower at low- compared to high stocking density. Feed input and manure output were major N flows in the paddocks, resulting in large surface N balance of 1198–1241 kg N ha−1 at high- and 843–875 kg N ha−1 at low stocking density, the lower end in each range being for the green-protein feed. The soil N balances were 26 % lower than the surface balances and similar between feed factors, yielding 614–634 and 899–906 kg N ha−1 for low and high stocking density, respectively.

SIGNIFICANCE

High spatial and temporal variability in nitrate destined for leaching from sandy soils remains challenging to control with short rotation coppiced willow in outdoor poultry paddocks on grass-clover ley. Reducing the stocking density of the hens by 33 % tightens the soil N balance for about 36 % (33–38 %), although further measures are necessary to reduce the N balance to levels environmentally suitable for agricultural soils.
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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