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快速发展的木材生产人工林 - 生态效应与经济视角的融合。

Fast Growing Plantations for Wood Production - Integration of Ecological Effects and Economic Perspectives.

机构信息

Forest Ecosystems Research Section, Center for Biodiversity and Sustainable Land Use (CBL), University of Göttingen , Göttingen , Germany.

BALSA Service for Applied Landscape Ecology and Scenario Analysis , Göttingen , Germany.

出版信息

Front Bioeng Biotechnol. 2015 Jun 9;3:72. doi: 10.3389/fbioe.2015.00072. eCollection 2015.

DOI:10.3389/fbioe.2015.00072
PMID:26106595
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4460806/
Abstract

Biomass crops are perceived as a feasible means to substitute sizeable amounts of fossil fuel in the future. A prospect of CO2 reduction (resp. CO2 neutrality) is credited to biomass fuels, and thus a potential contribution to mitigate climate change. Short rotation coppices (SRCs) with fast growing poplar and willow trees are an option for producing high yields of woody biomass, which is suitable for both energetic and material use. One negative effect that comes along with the establishment of SRC may be a decrease in groundwater recharge, because high rates of transpiration and interception are anticipated. Therefore, it is important to measure, analyze, and model the effects of SRC-planting on landscape water budgets. To analyze the effects on the water budget, a poplar SRC plot was studied by measuring hydrological parameters to be used in the hydrological model WaSim. Results reveal very low or even missing ground water recharge for SRC compared to agricultural land use or grassland, especially succeeding dry years. However, this strong effect on plot level is moderated on the larger spatial scale of catchment level, for which the modeling was also performed. In addition to water, nutrient fluxes and budgets were studied. Nitrogen is still a crucial issue in today's agriculture. Intensive fertilization or increased applications of manure from concentrated livestock breeding are often leading to high loads of nitrate leaching, or enhanced N2O emissions to the atmosphere on arable crop fields. SRC or agroforestry systems on former crop land may offer an option to decrease such N losses, while simultaneously producing woody biomass. This is mainly due to the generally smaller N requirements of woody vegetation, which usually entail no need for any fertilization. The trees supply deep and permanent rooting systems, which can be regarded as a "safety net" to prevent nutrient leaching. Thus, SRC altogether can help to diminish N eutrophication. It is important to offer viable and attractive economic perspectives to farmers and other land managers besides of the potential ecological benefits of SRCs. For this reason, an integrated tool for scenario analysis was developed within the BEST project ("BEAST - Bio-Energy Allocation and Scenario Tool"). It combines ecological assessments with calculations of economic revenue as a basis for a participative regional dialog on sustainable land use and climate protection goals. Results show a substantial capacity for providing renewable energy from economically competitive arable SRC sites while generating ecological synergies.

摘要

生物质作物被认为是未来替代大量化石燃料的可行手段。生物质燃料有望减少二氧化碳(或实现二氧化碳中性),因此有可能有助于缓解气候变化。种植快速生长的杨树和柳树等短轮伐期用材林(SRC)是生产木质生物质的一种高产量选择,这种生物质既适合能源用途,也适合材料用途。SRC 建立可能带来的一个负面影响是地下水补给减少,因为预计蒸腾和截留率会很高。因此,测量、分析和模拟 SRC 种植对景观水分预算的影响非常重要。为了分析对水预算的影响,通过测量水文参数来研究一个杨树 SRC 样地,这些参数将用于水文模型 WaSim。结果表明,与农业用地或草地相比,SRC 的地下水补给非常低,甚至没有,尤其是在连续干旱年份之后。然而,这种对样地水平的强烈影响在集水区水平的更大空间尺度上得到了缓和,也对该集水区进行了建模。除了水之外,还研究了养分通量和预算。氮仍然是当今农业的一个关键问题。集约化施肥或增加来自集约化牲畜养殖的粪肥的应用往往会导致硝酸盐淋失负荷增加,或在耕地农田中增强向大气排放 N2O。在前茬作物地上种植 SRC 或农林系统可能是减少此类氮损失的一种选择,同时还生产木质生物质。这主要是由于木本植被的氮需求通常较小,通常不需要任何施肥。树木提供深而持久的根系系统,可以被视为防止养分淋失的“安全网”。因此,SRC 可以帮助减少氮富营养化。除了 SRC 的潜在生态效益外,为农民和其他土地管理者提供可行和有吸引力的经济前景非常重要。出于这个原因,BEST 项目(“BEAST - 生物能源分配和情景工具”)内开发了一种用于情景分析的综合工具。它将生态评估与经济收益计算相结合,作为可持续土地利用和气候保护目标的参与式区域对话的基础。结果表明,在具有经济竞争力的耕地 SRC 站点提供可再生能源的能力很大,同时产生生态协同效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/a76ed6bdfdcf/fbioe-03-00072-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/82f0b28af4f9/fbioe-03-00072-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/e8d641645fbd/fbioe-03-00072-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/fec5fb57f0dc/fbioe-03-00072-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/7ac55783c48f/fbioe-03-00072-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/a76ed6bdfdcf/fbioe-03-00072-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/82f0b28af4f9/fbioe-03-00072-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/4e96aa70a180/fbioe-03-00072-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/2ed5f3fd75e2/fbioe-03-00072-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/b8a1dd2b1863/fbioe-03-00072-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/e8d641645fbd/fbioe-03-00072-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/fec5fb57f0dc/fbioe-03-00072-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/7ac55783c48f/fbioe-03-00072-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7f/4460806/a76ed6bdfdcf/fbioe-03-00072-g008.jpg

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