Planting methods matter for cost‐effective rainforest restoration

Forest restoration efforts in Australia's Wet Tropics establish <100 ha/year, compared with 20‐year average clearing rates of 1661 ha/year. Establishment costs are serious impediments to restoration efforts. Costs range from $25,000 to $67,000/ha, compared with less than $5,000/ha in other areas using other methods. Some of this difference stems from methods used to plant trees. Augered holes are used commonly in environmental plantings, whereas planting spades are used mostly in forestry plantings. To determine the most cost‐effective planting method between auger and spade planting methods, we compared the planting costs and the survival and growth of seedlings of local rainforest species, The speed of planting with a spade is on average four times quicker than with an auger, whereas the survival (range = 89–94%, spade vs auger respectively), and growth (slightly greater height growth for auger planted individuals) rates were only marginally different. Given these results, using planting spades is a cost‐effective alternative to augering holes.     

Is the simple auger coring method reliable for below-ground standing biomass estimation in Eucalyptus forest plantations?

Background and Aims

Despite their importance for plant production, estimations of below-ground biomass and its distribution in the soil are still difficult and time consuming, and no single reliable methodology is available for different root types. To identify the best method for root biomass estimations, four different methods, with labour requirements, were tested at the same location.

Methods

The four methods, applied in a 6-year-old Eucalyptus plantation in Congo, were based on different soil sampling volumes: auger (8 cm in diameter), monolith (25 × 25 cm quadrate), half Voronoi trench (1·5 m³) and a full Voronoi trench (3 m³), chosen as the reference method.

Key Results

With the reference method (0–1m deep), fine-root biomass (FRB, diameter <2 mm) was estimated at 1·8 t ha⁻¹, medium-root biomass (MRB diameter 2–10 mm) at 2·0 t ha⁻¹, coarse-root biomass (CRB, diameter >10 mm) at 5·6 t ha⁻¹ and stump biomass at 6·8 t ha⁻¹. Total below-ground biomass was estimated at 16·2 t ha⁻¹ (root : shoot ratio equal to 0·23) for this 800 tree ha⁻¹ eucalypt plantation density. The density of FRB was very high (0·56 t ha⁻¹) in the top soil horizon (0–3 cm layer) and decreased greatly (0·3 t ha⁻¹) with depth (50–100 cm). Without labour requirement considerations, no significant differences were found between the four methods for FRB and MRB; however, CRB was better estimated by the half and full Voronoi trenches. When labour requirements were considered, the most effective method was auger coring for FRB, whereas the half and full Voronoi trenches were the most appropriate methods for MRB and CRB, respectively.

Conclusions

As CRB combined with stumps amounted to 78 % of total below-ground biomass, a full Voronoi trench is strongly recommended when estimating total standing root biomass. Conversely, for FRB estimation, auger coring is recommended with a design pattern accounting for the spatial variability of fine-root distribution.     

Analysis of root images from auger sampling with a fast procedure: a case of application to sugar beet

Manual line-intersect methods for estimating root length are being progressively replaced by faster and more accurate image analysis procedures. These methods even allow the estimation of some more root parameters (e.g., diameter), but still require preliminary labour-intensive operations. Through a task-specific macro function written in a general-purpose image analysis programme (KS 300 – Zeiss), the processing time of root images was greatly reduced with respect to skeletonisation methods by using a high-precision algorithm (Fibrelength). This has been previously proposed by other authors, and estimates length as a function of perimeter and area of the digital image of roots. One-bit binary images were acquired, aiming at large savings in computer memory, and automatic discrimination of roots against extraneous objects based on their elongation index (perimeter²/area), was performed successfully. Of four tested spatial resolutions (2.9, 5.9, 8.8, 11.8 pixel mm^–1), in clean samples good accuracy in root length estimation was achieved at 11.8 pixel mm^–1, up to a root density of 5 cm cm^–2 on the scanner bed. This resolution is theoretically suitable for representing roots at least 85 m wide. When dealing with uncleaned samples, a thick layer of water was useful in speeding up spreading of roots on the scanner bed and avoiding underestimation of their length due to overlaps with organic debris. A set of fibrous root samples of sugar beet (Beta vulgaris var. saccharifera L.) collected at harvest over two years at Legnaro (NE Italy) was analysed by applying the above procedure. Fertilisation with 100 kg ha^–1 of nitrogen led to higher RLD (root length density in soil) in shallow layers with respect to unfertilised controls, whereas thicker roots were found deeper than 80 cm of soil without nitrogen.     

Soil redox-pH stability of arsenic species and its influence on arsenic uptake by rice

Although the auger method has been reported to be simple and superior to other methods of determination of roots, a standard procedure of determining roots with the same is lacking. In a bid to standardize the auger method for studying wheat root distribution; we sampled roots with 5, 7.5 and 10 cm ID augers on the row and midway between rows down to 180 cm. The suitability of a sampling scheme was adjudged from bias between observed and actual root length densities (RLD). The actual density in a layer was obtained by integrating the equation fitted to the average of root density data horizontally between 0 and 11 cm, because for 22 cm apart rows of wheat the representative half of the unit soil strip was 11 cm from the row; and assumed actual RLD was the average of horizontal distribution of RLD in a particular layer. Single site sampling on the row or between rows gave the maximum bias. Average of two sites viz. on the row and midway between rows with 10 cm ID auger and 7.5 cm ID auger or at three sites with 5 cm ID auger (additional site midway between the earlier two) gave the best estimates in that order.     

黄土高原退耕草地植被根系动态分布特征

采用土钻法研究了黄土高原不同退耕年限和天然草地植被根系的垂直分布特征.结果表明,样地上不同采样点间的根系分布不存在显著差异,根系指标的合并计算结果可以代表立地上植被根系的分布特征.植被根系生物量、根系长度等指标的垂直分布特征均表现出随着深度增加而减少的趋势;随着退耕年限的增加,植被根系的生物量、根系长度等指标逐渐增加,一般在退耕年限超过20年后,植被根系的分布特征接近天然草地的根系分布特征.随着退耕年限的增加,根系消失系数从0.98逐渐降低到0.96,说明植被在深层土壤中的相对含量逐渐减少,根系逐渐集中在0～40cm的表层土壤中.退耕植被根系分布特征的改善提高了土壤理化性质,有利于新物种入侵和植被演替进行.     

流域水生态功能分区以及区划方法的研究进展

持续而剧烈的人类活动已经对水生态系统的健康和安全造成了严重的影响。对流域的水生态功能进行甄别,合理划分其生态功能区,并按不同功能合理管理水资源,成为协调经济发展和水生态保护的关键因素之一。本文通过分析流域水生态功能分区的概念、内涵、特征以及区划方法的系统发展,提出了水生态功能分区的一般划分原则、划分指标和方法,为建立和完善我国流域水生态功能分区的理论和方法,提供了基础信息。