西藏中部草地及农田生态系统的退化及其机制

西藏中部农田，特别是兼具草地与林地两大功能的草地生态系统对区域生态环境具有重要的调节和控制作用。近年来，草地及农田生态系统呈现出整体退化及日趋严重的态势，并逐步成为西藏风蚀沙化、水土流失等最为严重的地区。文章在阐述退化生态系统的内在特征及其环境效应的基础上，就草地及农田生态系统退化的发生机制进行了深入分析。     

洞庭湖区退田还湖过程中小型兽类的生态位特征

为了解退田还湖工程实施后的小兽群落状况,2003~2010年对洞庭湖区退田还湖后9种不同类型生境中小型兽类的生态位特征进行了调查.共布放64 432夹日,捕获小型兽3 066只,总的捕获率为4.76%,包括啮齿目10种和食虫目2种.小型兽类各种群的生态位宽度以褐家鼠和黑线姬鼠最高,分别为0.819 8和0.765 6,为广生态位的种类;随后依次是臭鼩、东方田鼠、刺猬、巢鼠、黄胸鼠、小家鼠、黄毛鼠、针毛鼠,分别为0.689 0、0.573 7、0.527 3、0.482 8、0.394 8、0.289 7、0.265 1、0.098 5;社鼠和大足鼠最低,仅在1种生境中有捕获.从生态位宽度指数的季节变化看,黑线姬鼠、褐家鼠、东方田鼠和臭鼩在四季的生态位宽度指数均较高.从空间生态位宽度和生态位重叠指数看,除黑线姬鼠和褐家鼠利用生境较广外,洞庭湖小兽群落可分为3个类群:栖息于环湖丘岗林地生境的社鼠、针毛鼠和黄毛鼠类群,以湖滩生境为主的东方田鼠、巢鼠和臭鼩类群,以及以村庄周围的农田生态系统为主的家鼠类群.从生态位指标和捕获数量看,黑线姬鼠、东方田鼠和褐家鼠是当地需要重点关注的种类.东方田鼠种群数量高峰年份与低谷年份比,其生态位宽度以及与其它种类的生态位重叠指数均较高,高峰年份东方田鼠冬季在双退垸出现,说明退田还湖已扩大了东方田鼠的繁殖基地,对东方田鼠种群发展有利,在种群暴发年份,易形成更加严重的危害.     

农牧交错带开垦年限对土壤理化特性的影响

为研究农牧交错带天然草地转变为农田后,开垦年限对土壤理化特性的影响,按照邻近样地的取样原则,于2007年10月选择位于内蒙古东部农牧交错带太仆寺旗的天然草地和邻近的6个不同开垦年限的农田样地(垦殖年限为5、10、15、20、35、50 a)作为研究对象分析其土壤理化性状.结果表明:在0～30 cm土层中,天然草地转变为农田后,开垦年限对土壤养分含量和物理性状均有显著影响.土壤的有机碳含量、全氮含量、速效钾含量均随农田开垦年限的延长而降低.草地土壤的养分含量最高.与天然草地相比,0～10 cm土层,有机碳含量分别下降36%、47%、43%、57%、68%、68%;速效钾含量分别下降33%、55%、39%、65%、60%、40%.开垦年限对土壤物理性状也有明显影响,草地土壤的粘粒含量最高,砂粒含量最低;开垦年限越长的农田,土壤砂粒含量越高,粘粒含量越低;农田土壤的容重显著高于草地,随农田开垦年限的延长,土壤容重增加;而土壤pH值显示降低趋势.研究表明在研究区域天然草地具有较好的土壤养分保持能力,开垦年限越长越易导致土壤养分的缺乏和土壤的酸化和沙化,影响整个农牧交错带生态系统的稳定性和持续性.     

黄土高原半干旱区土壤呼吸对土地利用变化的响应

明确土地利用方式变化条件下引起土壤呼吸差异性的因素,对预测黄土区退耕还草条件下土壤碳循环变化有重要意义。基于建立于1984 年的长期定位试验,于2011 年3 月至2012年12 月,利用Li-8100 系统(Li-COR,Lincoln,NE,USA)监测了退耕还草(苜蓿)处理和农田(冬小麦)土壤呼吸季节变化以及土壤表层(0~5 cm)温度和含水量,研究了土地利用变化下土壤呼吸变化特征及其与土壤温度、水分以及有机碳特性之间的关系。结果发现,退耕27 a 来(自1984年麦地转化为苜蓿地),土壤呼吸速率苜蓿地(3.55 μmol·m^-2·s^-1)达小麦地(1.36 μmol·m^-2·s^-1)的2.61 倍,累积呼吸量苜蓿地(981 g·m^-2)达小麦(357 g·m^-2)的2.75 倍。土壤呼吸温度敏感系数(Q₁₀)苜蓿地较小麦地2011 年提高24.5%,2012 年提高2.4%。苜蓿地SOC含量(10.5 g·kg^-1)较小麦地(6.5 g·kg^-1)提高61.5%,微生物量碳(204 mg·kg^-1)较小麦地(152 mg·kg^-1)提高34%,0~5 cm土壤水分含量同期高于小麦地,但二者土壤温度差异不显著。土壤水分、SOC、微生物量碳等是造成二者呼吸差异的因素。     

退耕地养分和微生物量对土壤酶活性的影响

为了解侵蚀环境下植被恢复土壤酶活性对土壤养分和微生物量指标的响应规律,以典型侵蚀环境黄土丘陵区纸坊沟流域生态恢复1~50年撂荒地长期定位试验点为研究对象,采用典型逐步回归和非线性拟合来分析各指标间的耦合关系.结果表明,土壤酶活性除a淀粉酶外,均与土壤养分因子和微生物量指标有较高的相关性(P<0.05).在土壤酶活性和养分因子间,尿酶和纤维素酶主要受总氮影响,碱性磷酸酶、过氧化氢酶、蔗糖酶和多酚氧化酶主要受可利用氮影响,蔗糖酶和多酚氧化酶还受到有机质的影响;在土壤酶活性和微生物量指标间,尿酶主要受微生物量磷影响,碱性磷酸酶、过氧化氢酶、蔗糖酶和多酚氧化酶均受微生物量碳影响,纤维素酶则受微生物量氮影响,但多酚氧化酶与可利用氮、有机质和微生物量碳呈负相关;此外,它们之间均存在良好的对数关系(y=b+alnx, P<0.05).     

THE POTENTIAL IMPACT OF WATER REALLOCATIONS ON AGRICULTURE IN IDAHO1

ABSTRACT: Economics is concerned with the allocation of resources between alternative uses. Traditionally, in the western United States, water resources have been committed to agriculture and irrigation. Other competitive uses such as power, industry, and recreation are challenging this allocation. What are the impacts of shifting water out of agriculture into other uses, is a question that needs to be given consideration. Ilia paper attempts to evaluate the tradeoff between using farm land for either irrigated or dryland production and the resulting impacts on gross farm income and the average price of land. Baaed on historical data, reducing irrigated acreage and increasing dryland acreage could greatly reduce both farm income and the equity in farming. The model presented in this paper should be useful for evaluating the tradeoffs between dryland and irrigated land use, especially when there are gat differences in productivity such as those that exist in the inter-mountain region of the Western United States.     

Shallow groundwater nitrogen responses to di erent land use managements in the riparian zone of Yuqiao Reservoir in North China

This field study investigated the nitrogen concentrations in the shallow groundwater from an ephemeral stream and four land uses： cropland, two-year restored （2yr） and five-years restored （Syr） woodlands, fishponds, and the nitrogen flux in the riparian zone of Yuqiao Reservoir. The groundwater nitrate-N concentrations in cropland were the highest among the four land uses. Total dissolved nitrogen （TDN） and nitrate-N concentrations in the 2yr woodland were significantly （p 〈 0.05） higher than in 5yr woodland. The lowest nitrogen concentrations were detected in fishponds. Nitrate-N was the main form in cropland and 2yr woodland, whereas both nitrate-N and dissolved organic nitrogen （DON） were the main species in 5yr woodland and fishponds. But, ammonium-N was the main form in the ephemeral stream. During the rainy season, the groundwater flow with dissolved nitrogen drains from upland into the reservoir along the hydraulic gradient. The woodland between the cropland and reservoir could act as a buffer to retain shallow groundwater nitrogen. The dominant form of ammonium-N in the groundwater TDN pool in ephemeral stream indicated that nitrogen from the village and orchard in upland flowed into the reservoir via subsurface flow. The fishpond was not an important pollution source for nitrogen transfer via shallow groundwater.     

增温施肥对稻麦农田土壤有机碳及其活性组分的影响

农田是重要的陆地生态系统土壤碳库和作物生长的有机养分库.为明确气候变暖对稻麦轮作农田土壤碳库的影响,利用田间开放式增温平台,分析了增温、施肥和其交互作用对土壤有机碳和其活性组分的影响,并评估了土壤碳库管理指数的变化.结果表明,增温、施肥对土壤有机碳含量和其活性有机碳组分的影响均无显著交互作用.增温增加了土壤有机碳含量,且总有机碳(TOC)和惰性有机碳(ROC)含量差异显著.与不增温对照相比,增温处理的TOC、 ROC和活性有机碳(LOC)含量分别增加了7.72%、7.42%和10.11%.土壤微生物量碳(MBC)含量的增加(20.4%)和颗粒有机碳(POC)含量的降低(36.51%)可能是增温下土壤有机碳含量变化的主要原因.增温对土壤可溶性有机碳(DOC)含量无显著影响,但显著降低了其可溶性微生物副产物组分含量(41.89%).结果同时表明,施肥对土壤有机碳含量均无显著影响,但显著降低了活性碳组分的DOC和POC含量,增加了MBC含量.与不施肥对照相比,施肥处理的土壤DOC和POC含量分别降低了35.44%和28.33%,MBC含量增加了33.38%.此外,施肥有增加可溶性有机物中人为...     

基于机器学习的长江流域农田氮径流流失负荷估算

定量解析长江流域农田氮径流流失特征是实现长江及其河口氮污染有效控制的关键科学基础.基于收集的长江流域570个旱地和434个水田田间氮径流流失数据组,采用相关性分析、结构方程模型、方差分解和机器学习方法,探究了影响旱地和水田总氮径流流失强度的主要因素,建立了基于机器学习的长江流域旱地和水田总氮径流流失强度预测模型,量化了长江流域农田总氮径流流失负荷.结果表明,径流深、施氮量和土壤氮含量是影响旱地总氮径流流失强度的主要因素;径流深和施氮量是水田总氮径流流失强度的主要影响因素.与分类与回归树、多元线性回归和增强回归树方法相比,采用随机森林算法构建的长江流域旱地和水田总氮径流流失强度预测模型具有更高的精度（R²为0.65~0.94）.基于随机森林算法的预测模型估算的2013年长江流域农田总氮径流流失负荷（以N计）为0.47 Tg ·a^-1（旱地：0.25 Tg ·a^-1;水田：0.22 Tg ·a^-1）,中下游地区贡献了58%的流失负荷.模型预测5种防治情景下的长江流域农田氮流失负荷可削减2.4%~9.3%,其中减少径流量的削减效果最为显著.长江流域农田氮面源污染防治必须协同加强氮肥精准管理、减少农田径流量和提高土壤氮利用,且应将重点放在中下游地区.所发展的基于机器学习建模方法克服了氮径流流失强度与影响因素之间函数关系难以确定的问题,为估算区域或流域农田氮流失负荷提供了简便且可靠的方法.     

Nonpoint Source Pollution Responses Simulation for Conversion Cropland to Forest in Mountains by SWAT in China

Several environmental protection policies have been implemented to prevent soil erosion and nonpoint source (NPS) pollutions in China. After severe Yangtze River floods, the “conversion cropland to forest policy” (CCFP) was carried out throughout China, especially in the middle and upper reaches of Yangtze River. The research area of the current study is located in Bazhong City, Sichuan Province in Yangtze River watershed, where soil erosion and NPS pollution are serious concerns. Major NPS pollutants include nitrogen (N) and phosphorus (P). The objective of this study is to evaluate the long-term impact of implementation of the CCFP on stream flow, sediment yields, and the main NPS pollutant loading at watershed level. The Soil and Water Assessment Tool (SWAT) is a watershed environmental model and is applied here to simulate and quantify the impacts. Four scenarios are constructed representing different patterns of conversion from cropland to forest under various conditions set by the CCFP. Scenario A represented the baseline, i.e., the cropland and forest area conditions before the implementation of CCFP. Scenario B represents the condition under which all hillside cropland with slope larger than 25° was converted into forest. In scenario C and D, hillside cropland with slope larger than 15° and 7.5° was substituted by forest, respectively. Under the various scenarios, the NPS pollution reduction due to CCFP implementation from 1996–2005 is estimated by SWAT. The results are presented as percentage change of water flow, sediment, organic N, and organic P at watershed level. Furthermore, a regression analysis is conducted between forest area ratio and ten years’ average NPS load estimations, which confirmed the benefits of implementing CCFP in reducing nonpoint source pollution by increasing forest area in mountainous areas. The reduction of organic N and organic P is significant (decrease 42.1% and 62.7%, respectively) at watershed level. In addition, this study also proves that SWAT modeling approach can be used to estimate NPS pollutants’ impacts of land use conversions in large watershed.