Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

Simulating a natural fire regime on an Atlantic coast barrier island complex in Florida, USA

The HFire fire regime model was used to simulate the natural fire regime (prior to European settlement) on Kennedy Space Center, Merritt Island National Wildlife Refuge, Canaveral National Seashore, and Cape Canaveral Air Force Station, Florida. Model simulations were run for 500 years and the model was parameterized using information generated from previously published empirical studies on these properties (e.g., lightning fire ignition frequencies and ignition seasonality). A mosaic pattern of frequent small fires dominated this fire regime with rare but extremely large fires occurring during dry La Niña periods. This simulated fire size distribution very closely matched the previously published fire size distribution for lightning ignitions on these properties. A sensitivity analysis was performed to establish which parameters were most influential and the range of variation surrounding empirically parameterized model output. Dead fuel moisture and wind speed had the largest influence on model outcome. A wide range of variance was observed surrounding the composite simulation with the least being 6% in total burn frequency and the greatest being 49% in total area burned. Because simulation modeling is the best option for fire regime reconstruction in many rapidly growing shrub dominated systems, these results will be of interest to scientists and fire managers for delineating the natural fire regime on these properties, the southeastern United States and other fire adapted shrub systems worldwide.     

粤港澳大湾区污染场地土壤风险管控制度体系建设与思考

防范污染场地环境风险和保障人居环境安全是粤港澳大湾区建设世界级城市群面临的重要挑战和工作内容之一.由于粤港澳在政治制度和土地管理等方面的差异,以及珠三角9市内部城市化水平、产业结构以及环境管理能力的差别,大湾区各地污染场地风险管控模式有明显的差异,分析粤港澳大湾区典型城市污染场地风险管控特点,对加强污染场地风险管控技术交流与合作,优化大湾区污染场地风险管控制度具有重要意义.本文在简述我国污染场地风险管控制度体系的基础上,重点介绍了广州、深圳、东莞、香港和澳门的污染场地风险管控制度体系、监管对象、污染评估与整治程序等的特点,对其风险管控制度体系进行了分析与对比,并针对土地规划、政策反馈、信息公开及联盟机制探索等提出了思考与建议.总体来看,香港及珠三角部分地市构建了行之有效的污染场地风险管控制度体系,且体现了一定的地方特点,但随着污染场地的进一步开发再利用,打造粤港澳大湾区世界级城市群的建设目标将对污染场地风险管控策略的安全性、精细化和时效性等提出更高的要求,互相借鉴和充分学习,加强大湾区2区9市污染场地风险管控上的技术交流与合作,是实现大湾区污染场地安全再利用与高效开发的有效路径.     

环境因子对土壤微生物呼吸及其温度敏感性变化特征的影响

在田间条件下研究土壤微生物呼吸及其温度敏感性(Q10)的变化特征及其影响因素对准确理解地区的气候变暖潜力具有重要意义.本研究依托长武农田生态试验站的裸地处理,利用土壤碳通量系统(Li～8100)连续6 a (2008～2013年)监测裸地处理下的呼吸速率、土壤温度和水分,探究土壤微生物呼吸及其温度敏感性的变化特征及其影响因素.在日变化尺度上,土壤微生物呼吸速率的变化特征呈单峰曲线,且这种变化趋势主要与土壤温度有关(P 0. 05),然而日平均土壤微生物呼吸速率和Q10在不同土壤水分含量条件下不同.均呈现出:适度的土壤水分条件较高的土壤水分条件较低土壤水分条件的趋势[土壤微生物呼吸速率:1. 20μmol·(m~2·s)~(-1)、0. 95μmol·(m~2·s)~(-1)、0. 79μmol·(m~2·s)~(-1); Q10:2. 12、1. 93、1. 59].在季节尺度上,土壤微生物呼吸速率和Q10均呈现出雨季大于非雨季的趋势[土壤微生物呼吸速率:1. 11μmol·(m~2·s)~(-1)、0. 90μmol·(m~2·s)~(-1); Q10:1. 96、1. 59],且这种变化趋势与土壤温度和水分的变化有关(P 0. 05),然而土壤温度和土壤水分的双变量模型比土壤温度或者土壤水分的单变量模型能解释更多的土壤微生物呼吸季节变异性(R~2:0. 45～0. 82、0. 32～0. 67、0. 35～0. 86;模拟值和实测值的拟合系数:0. 76、0. 64、0. 58).在年际尺度上,年累积土壤微生物呼吸变化于226 g·(m~2·a)~(-1)和298 g·(m~2·a)~(-1)之间,Q10变化于1. 48～1. 94之间,而年累积土壤微生物呼吸和Q10的年际变异性主要与年平均土壤水分含量有关(P 0. 05),且年平均土壤水分别可以解释39%和54%的年累积土壤微生物呼吸和Q10年际变异性.在裸地处理上,土壤有机碳由试验初的6. 5 g·kg~(-1)下降到目前的5. 5 g·kg~(-1),但是年累积土壤微生物呼吸却高达255 g·(m~2·a)~(-1),即裸地处理的呼吸流失量比土壤有机碳的流失量高20倍以上.     

Effect of environmental parameters on the degradability of polymer films in laboratory-scale composting reactors

Previous research in our laboratory reported a convenient laboratory-scale composting test method to study the weight loss of polymer films in aerobic thermophilic (53°C) reactors maintained at a 60% moisture content. The laboratory-scale compost reactors contained the following synthetic compost mixture (percentage on dry-weight basis): tree leaves (45.0), shredded paper (16.5), food (6.7), meat (5.8), cow manure (17.5), sawdust (1.9), aluminum and steel shavings (2.4), glass beads (1.3), urea (1.9), and a compost seed (1.0) which is designated Mix-1 in this work. To simplify the laboratory-scale compost weight loss test method and better understand how compost mixture compositions and environmental parameters affect the rate of plastic degradation, a systematic variation of the synthetic mixture composition as well as the moisture content was carried out. Cellulose acetate (CA) with a degree of substitution (DS) value of 1.7 and cellophane films were chosen as test polymer substrates for this work. The extent of CA DS-1.7 and cellophane weight loss as a function of the exposure time remained unchanged when the metal and glass components of the mixture were excluded in Mix-2. Further study showed that large variations in the mixture composition such as the replacement of tree leaves, food, meat, and sawdust with steam-exploded wood and alfalfa (forming Mix-C) could be made with little or no change in the time dependence of CA DS-1.7 film weight loss. In contrast, substituting tree leaves, food, meat, cow manure, and sawdust with steam-exploded wood in combination with either Rabbit Choice (Mix-D) or starch and urea (Mix-E) resulted in a significant time increase (from 7 to 12 days) for the complete disappearance of CA DS-1.7 films. Interestingly, in this work no direct correlation was observed between the C/N ratio (which ranged from 13.9 to 61.4) and the CA DS-1.7 film weight loss. Decreasing moisture contents of the compost Mix-2 from 60 and 50 and 40% resulted in dramatic changes in polymer degradation such that CA DS-1.7 showed an increase in the time period for a complete disappearance of polymer films from 6 to 16 and 30 days, respectively.Guest Editor: Dr. Graham Swift, Rohm & Haas.Paper presented at the Bio/Environmentally Degradable Polymer Society—Second National Meeting, August 19–21, 1993, Chicago, Illinois.     

Interpreting and using outputs from the Canadian Forest Fire Danger Rating System in research applications

Understanding and being able to predict forest fire occurrence, fire growth and fire intensity are important aspects of forest fire management. In Canada fire management agencies use the Canadian Forest Fire Danger Rating System (CFFDRS) to help predict these elements of forest fire activity. In this paper a review of the CFFDRS is presented with the main focus on understanding and interpreting Canadian Fire Weather Index (FWI) System outputs. The need to interpret the outputs of the FWI System with consideration to regional differences is emphasized and examples are shown of how the relationship between actual fuel moisture and the FWI System’s moisture codes vary from region to region. Examples are then shown of the relationship between fuel moisture and fire occurrence for both human- and lightning-caused fire for regions with different forest composition. The relationship between rate of spread, fuel consumption and the relative fire behaviour indices of the FWI System for different forest types is also discussed. The outputs of the CFFDRS are used every day across Canada by fire managers in every district, regional and provincial fire management office. The purpose of this review is to provide modellers with an understanding of this system and how its outputs can be interpreted. It is hoped that this review will expose statistical modellers and other researchers to some of the models used currently in forest fire management and encourage further research and development of models useful for understanding and managing forest fire activity.

Simulating dynamic and mixed-severity fire regimes: A process-based fire extension for LANDIS-II

Fire regimes result from reciprocal interactions between vegetation and fire that may be further affected by other disturbances, including climate, landform, and terrain. In this paper, we describe fire and fuel extensions for the forest landscape simulation model, LANDIS-II, that allow dynamic interactions among fire, vegetation, climate, and landscape structure, and incorporate realistic fire characteristics (shapes, distributions, and effects) that can vary within and between fire events. We demonstrate the capabilities of the new extensions using two case study examples with very different ecosystem characteristics: a boreal forest system from central Labrador, Canada, and a mixed conifer system from the Sierra Nevada Mountains (California, USA). In Labrador, comparison between the more complex dynamic fire extension and a classic fire simulator based on a simple fire size distribution showed little difference in terms of mean fire rotation and potential severity, but cumulative burn patterns created by the dynamic fire extension were more heterogeneous due to feedback between fuel types and fire behavior. Simulations in the Sierra Nevada indicated that burn patterns were responsive to topographic features, fuel types, and an extreme weather scenario, although the magnitude of responses depended on elevation. In both study areas, simulated fire size and resulting fire rotation intervals were moderately sensitive to parameters controlling the curvilinear response between fire spread and weather, as well as to the assumptions underlying the correlation between weather conditions and fire duration. Potential fire severity was more variable within the Sierra Nevada landscape and also was more sensitive to the correlation between weather conditions and fire duration. The fire modeling approach described here should be applicable to questions related to climate change and disturbance interactions, particularly within locations characterized by steep topography, where temporally or spatially dynamic vegetation significantly influences spread rates, where fire severity is variable, and where multiple disturbance types of varying severities are common.     

刈割利用对封育沙地土壤水分的影响

在腾格里沙漠南缘长期封育沙地区,通过一个生长季的定位观测,分析研究全刈割和刈割一半两种利用强度对封育沙地土壤水分生态的影响,结果表明：在天然植被围栏封育区和人工种植+围栏封育区,全刈割、半刈割处理下的土壤含水量与对照间均存在显著差异。植被对土壤水分的消耗量随着刈割利用强度的增加而减小,封育沙地0～80cm各层的土壤含水量总体上具有随刈割利用强度的增加而增大的变化趋势;在3-7月份沙地土壤水分逐步降低的过程中,全刈割处理、半刈割处理与对照间土壤水分含量的差异较大,而在7-9月份沙地土壤水分逐步回升的过程中,不同利用处理间土壤水分含量的差异则显著减小;不同利用强度下封育沙地土壤水分随深度增加均表现为先增加后降低的变化趋势,在0～30cm土壤层,离地表越近,土壤含水量越低,而在30～70cm土壤层,则表现为随深度增加而快速下降的趋势。不同强度的刈割处理与对照间各深度层的土壤含水量差异大多都表现为：全刈割处理﹥半刈割处理﹥不刈割处理。表明刈割利用对封育沙地土壤水分生态具有一定的调节改善作用。     

壳聚糖包覆微胶囊红磷的制备及性能表征

目的 降低红磷(RP)烟火剂的吸湿率及感度,以此提高其使用过程中的安全性能.方法 以生物基材料壳聚糖(CS)为囊壳结构,采用高效简便的工艺,制备壳聚糖包覆微胶囊红磷(CSRP),对CSRP进行红外光谱测试(FTIR)、X射线电子能谱分析(XPS)、扫描电子显微镜(SEM)测试及热重(TG)测试,并对RP及CSRP进行吸...     

EVAPOTRANSPIRATION AND SOIL MOISTURE DYNAMICS ON A SEMIARID PONDEROSA PINE HILLSLOPE1

ABSTRACT: Detailed measurements of soil moisture and ET in semiarid forest environments have not been widely reported in the literature. In this study, soil moisture and water balance components were measured over a four‐year period on a semiarid ponderosa pine hillslope, with evapotranspiration (ET) determined as the residual of measured precipitation, runoff, and change in soil moisture storage. ET accounts for approximately 95 percent of the water budget and has a distinctly bimodal annual pattern, with peaks occurring after spring snowmelt and during the late summer monsoon season, periods that coincide with high soil moisture. Weekly growing season ET rates determined by the hillslope water balance are found to be invariably below calculated potential rates. Normalized ET rates are linearly correlated (r²= 0.62) with soil moisture; therefore, a simple linear relation is proposed. Growing season soil moisture dynamics were modeled based on this relation. Results are in fair agreement (r²= 0.63) with the observed soil moisture data over the four growing seasons; however, for two dry summers with little surface runoff, much better results (r² > 0.90) were obtained.