浅析土生空团菌(Cenococcum geophilum)自然侵染率及其与植被、根际土壤因子的关系

为了明确土生空团菌环境适应机理,以内蒙古地带性植被为研究对象,调查和测定了不同森林类型区土生空团菌自然侵染率、植被类型、土壤养分含量变化,探讨土生空团菌自然侵染率与植被、土壤因子的关系。结果表明,从植被类型来看,大兴安岭兴安落叶松、黑里河油松、大青山虎榛子、乌拉山白桦、贺兰山青海云杉等宿主植物土生空团菌自然侵染率均为30%以上,不同森林类型区油松土生空团菌自然侵染率也存在一定的差异。从根际土壤因子分析,土生空团菌自然侵染率与根际土壤有机质(r=0.492)、全氮(r=0.479)呈明显正相关(P<0.05),与根际土壤速效磷(r=0.575)呈极显著正相关(P<0.01)。     

Efficacy of road removal for restoring wildlife habitat: Black bear in the Northern Rocky Mountains, USA

Forest roads reduce habitat quality for wildlife, in part by increasing susceptibility to hunting and poaching. Road removal is an increasingly common strategy for restoring habitat; however, little is known about responses of wildlife to road removal versus other methods of road closure. We assessed effects of different types of road closure (gated, barriered, and recontoured) on black bear (Ursus americanus) frequency and habitat on 18 open and closed road pairs in the western USA. Over 4 years, 44 bears were photographed during 3545 camera-trap days. Bear frequency was significantly higher (2.4 versus 0.6/100 days, respectively) and human frequency was significantly lower (2.4 versus 361.6/100 days, respectively) on closed than on open roads. Additionally, abundance of fall foods was higher (23.9% and 12.8%, respectively) and line-of-sight (a measure of habitat security) shorter (54.9 versus 69.4 m, respectively) on closed compared to open roads. Bears were detected on closed but not on open roads during daytime, suggesting avoidance of humans. Among-road-treatment differences included significantly higher frequency of bears on recontoured than on gated or barriered roads (4.6, 1.6, and 0.5/100 days, respectively), and significantly higher cover of fall bear foods on recontoured than on gated or barriered roads (39.3%, 12.1% and 16.4%, respectively). Frequency of bears was negatively correlated with frequency of humans and line-of-sight distance and positively correlated with abundance of fall foods and hiding cover. Results suggest that while all types of road closure benefit sensitive wildlife, removal by recontour may be the most effective strategy for restoring habitat.     

Simple Formulation of the Soil Water Effect on Residue Decomposition

Soil water content, θ, is a major factor affecting residue decomposition, but simple formulation of this factor is often lacking. We observed that θ significantly (P < 0.001) affected the residue decomposition constant, k _d. When θ varied from 0.09 g g^?1 to 0.23 g g^?1, k _d ranged from 0.009 to 0.013 d^?1 and from 0.009 to 0.022 d^?1 for residues with carbon to nitrogen ratio (C/N) > 30 and C/N < 25, respectively. A θ factor was formulated in terms of the field capacity θ _FC and the air‐dry θ _d in the form f _w = (θ ? θ _d) / (θ _FC ? θ _d), and this was used to modify the potential k _d as θ varied. Coupling f _w with a first‐order residue decomposition equation resulted in the prediction of the decomposition of four residue types in the greenhouse (R² = 0.94; relative root mean square error, RRMSE, = 0.06) and in the field (R² = 0.93; RRMSE = 0.11).     

Selected Soil Enzyme Activities,Soil Microbial Biomass Carbon,and Root Yield as Influenced by Organic Production Systems in Sweet Potato

A field experiment was conducted on Typic Rhedustalfs to determine the effects of various organic production systems. Results revealed that the soil microbial biomass carbon (SMBC) content was greatest with the application of 100% N through farmyard manure. The ratio index value of biofertilizer along with 50% N through any one of the organic sources were greater than 100% N through green leaf manure?/?vermicompost, integrated use of manure and fertilizer (conventional production system), and control (traditional system of production). Soil enzymes varied with the production systems. The urease, phosphatase, and β-glucosidase activities were more with greater nitrogen, phosphorus, and organic-matter treatments, respectively. The SMBC, soil enzymes, and microbial activity were very responsive to organic production systems, but their levels and activities were not reflected in sweet potato root yield.     

Performance of biochar derived from Cymbopogon winterianus waste at two temperatures on soil properties and growth of Bacopa monneri

ABSTRACT

The present study aimed to evaluate the effect of biochar derived from the distilled waste of Cymbopogon winterianus at two different pyrolysis temperatures (450°C and 850°C) on the chemical and biological properties of sandy loamy soil (SLS) and its subsequent impact on plant growth. Pot experiments utilizing Bacopa monnieri were performed in a greenhouse with four different application rates of biochar (2%, 4%, 6%, and 8% (w/w)) for 120 days. Biochar induced alterations in soil properties (nutrients, enzymes, and microbes) and plant responses (yield, biocide and antioxidant content) to biochar addition were measured. Biochar application, notably improved the soil carbon, cation exchange capacity, and the availability of NH₄ ⁺ and phosphorus. Initially, biochar produced at the lower temperature had more effect on the available nitrogen, phosphorus, soil enzymatic properties, and plant biomass growth. After 120 days, the pyrolysis temperature had only a marginal influence on biochar-induced effects on soil pH, WHC, and soil enzymatic activities. Our results suggest that C. winterianus derived biochar amendment leads to an overall amelioration of soil fertility and plant growth improvement. In specific biochar produced at lower temperatures (450°C) was more effective for improvement of plant biomass and soil characteristics.     

美国路易斯安那州土壤碳估算的尺度效应——美国STATSGO和SSURGO两大最新土壤数据库的比较研究

Estimation of soil organic carbon (SOC) pools and fluxes bears large uncertainties because SOC stocks vary greatly over geographical space and through time.Although development of the U.S.Soil Survey Geographic Database (SSURGO),currently the most detailed level with a map scale ranging from 1:12 000 to 1:63 360,has involved substantial government funds and coordinated network efforts,very few studies have utilized it for soil carbon assessment at the large landscape scale.The objectives of this study were to 1) compare estimates in soil organic matter among SSURGO,the State Soil Geographic Database (STATSGO),and referenced field measurements at the soil map unit;2) examine the influence of missing data on SOC estimation by SSURGO and STATSGO;3) quantify spatial differences in SOC estimation between SSURGO and STATSGO,specifically for the state of Louisiana;and 4) assess scale effects on soil organic carbon density (SOCD) estimates from a soil map unit to a watershed and a river basin scale.SOC was estimated using soil attributes of SSURGO and STATSGO including soil organic matter (SOM) content,soil layer depth,and bulk density.Paired t-test,correlation,and regression analyses were performed to investigate various relations of SOC and SOM among the datasets.There were positive relations of SOC estimates between SSURGO and STATSGO at the soil map unit (R2=0.56,n=86,t=1.65,P=0.102;depth:30 cm).However,the SOC estimated by STATSGO were 9%,33% and 36% lower for the upper 30-cm,the upper 1-m,and the maximal depth (up to 2.75 m) soils,respectively,than those from SSURGO.The difference tended to increase as the spatial scale changes from the soil map unit to the watershed and river basin scales.Compared with the referenced field measurements,the estimates in SOM by SSURGO showed a closer match than those of STATSGO,indicating that the former was more accurate than the latter in SOC estimation,both in spatial and temporal resolutions.Further applications of SSURGO in SOC estimation for the entire United States could improve the accuracy of soil carbon accounting in regional and national carbon balances.     

浅表地块着色处理作为可视化诊断标准在农业管理中的应用

Soil management matters in semiarid lands are key to have acceptable yields and to preserve diversity. After the major agricultural intensification underwent in the semiarid lands of Monegros, NE Spain, custom tailored tools are needed to reconcile agriculture with habitats conservation. The objectives of this study were to quantify the effect of soil properties of two distinctly colored soils, white patches （WP） and dark patches （DP）, dominant in the arid landscape of the central Ebro Basin, Spain on winter cereal grain yield and to prove that superficial soil color could be used as a visual diagnostic criterion for evaluation of agricultural practices in arid lands. Significant differences between WP and DP soils were found in gypsum, carbonate contents, available water holding capacity and infiltration rate. The grain yield ranged from 51 to 5 713 kg ha-1. Significantly lower yields （P 〈 0.01） and precipitation-use efficiency （P 〈 0.05） were attained in the WP soils for the three seasons studied. This difference increased with the average rainfall due to the significantly lower soil water infiltration （P 〈 0.01） and water holding capacity （P 〈 0.05） found in the gypseous soils. Our results show that mapping the soil surface color at farm scale can be a low=cost tool for optimizing agricultural practices and recovering the natural vegetation. This approach can be advantageous in similar arid or semiarid environments around the world.