墨江县岩溶地区石漠化调查

分析了石漠化调查技术和调查方法,阐述了墨江县岩溶地区石漠化的基本状况、石漠化程度、分布范围和面积,并提出了荒山造林、封山育林等切实可行的治理措施和建议,以期为墨江县岩溶地区石漠化的监测和治理工作提供参考。     

菊芋在民勤干旱沙区种植试验研究

2007年通过在民勤干旱沙区进行菊芋种植试验,结果表明:菊芋具有极强的抗旱抗逆能力、固沙和抗风沙能力、繁殖力强等生态适应性,在适宜的条件下,种植后不需灌水即可正常生长,而且生长量大、长势好,是优良的生态经济型防风固沙植物.因此,菊芋适宜在干旱、半干旱沙漠化地区推广种植.     

干旱、半干旱地区异砧红松嫁接技术研究

试验分析了砧木选择、嫁接时间、嫁接方法等因子对干旱、半干旱地区异砧红松嫁接成活率和生长的影响。结果表明:樟子松、油松、赤松均可作为砧木嫁接红松。采用单芽接穗好于多芽接穗;适时早接有利于接穗木质化程度的提高;正交试验结果显示最佳处理组合为A1B1C1,即砧木为樟子松、4月中旬嫁接、芽端楔接法的组合,成活率达到90%以上。     

吉林省东部山区蓝莓棚式防寒技术的研究

以美登等4个蓝莓品种为试验材料,在吉林省东部山区进行冬季棚式防寒新技术与覆土防寒效果的比较研究,结果表明：棚式防寒较覆土防寒可节约成本4 485元·hm-2,果实产量增加收益12 942元·hm-2,总体收益提高了17 427元·hm-2,经济效益十分显著。     

浅埋滴灌水氮运筹对春玉米产量及水分利用效率的影响

采用二因素二次饱和D-最优设计，于2016-2017年在辽西半干旱区移动遮雨棚内进行了水氮精量控制试验，设灌溉量和施氮量2个因素，灌溉量分别设145.4、271.7、348.2、436.2 mm 4个水平，施氮量分别设0、84.6、136.1、195.0 kg·hm^-2 4个水平，共6个处理。试验分析了水氮交互作用对春玉米产量和水分利用效率的影响，建立了产量回归模型。研究结果表明：浅埋滴灌条件下，灌溉量在145.4~350.5 mm时，春玉米产量随灌溉量的增加而增高至11 005.60 kg·hm^-2；灌溉量在350.5~436.2 mm时，产量随灌溉量的增加而降低至10 730.09 kg·hm^-2；施氮量在0~146.9 kg·hm^-2时，产量随施氮量的增加而增高至10 983.19 kg·hm^-2，施氮量在146.9~195.0 kg·hm^-2时，产量随施氮量的增加而降低至10 862.39 kg·hm^-2。灌溉量因素的影响大于施氮量，水氮之间有明显的正向交互效应，当灌溉量为373.1 mm，施氮量为165.6 kg·hm^-2时产量最高。作物耗水量在拔节-抽雄期和灌浆-收获期较大，分别为115.64、127.50 mm；水分利用效率随灌溉量的增加呈逐渐降低趋势，降低幅度达到52.21%，随着施氮量的增加则呈先升高后降低趋势，增幅为14.73%~20.08%；其中处理6（灌溉量348.2 mm，施氮量195.0 kg·hm^-2)最利于水分利用效率的提高。综合产量和水分利用效率两方面的因素，初步建立了春玉米浅埋滴灌水氮施用优化模式，参数组合为灌溉量348.2 mm、施氮量165.6 kg·hm^-2。     

蔬菜幼苗叶面积快速测定方法筛选与优化

为得到一种快速且准确测定蔬菜幼苗叶面积的方法,以番茄幼苗为试材,以方格法为对照,研究扫描分析法、叶面积仪法、打孔称重法测定叶面积的准确性、精确性与测定速度,然后采用黄瓜、辣椒叶片及纸片的面积对测定结果进行验证,最后基于不同扫描分辨率对筛选出的方法进行优化。结果表明,相比叶面积仪法和打孔称重法,扫描分析法测定结果更接近真实值,且精度更高,用时更短。扫描分析法不同分辨率下测定结果无显著差异,且扫描分辨率越低所需测定时间越短。扫描分辨率50 dpi下的扫描分析法可作为一种快速准确测定蔬菜幼苗叶面积的方法。     

青海湖南部近57年大风日数的变化特征

为了更好地剖析青海湖南部大风日数的演变特征，笔者利用青海湖南部共和县气象局1961—2017 年的大风日数观测资料，采用线性倾向估计、M-K突变分析、滑动平均等方法，对大风日数的年代际、年际和季节变化趋势进行分析。结果表明：（1）自1961 年以来该地大风日数随年份的延长呈显著减少趋势，每10 年减少2.0 天；（2）共和地区春、夏、秋、冬四季大风日数均呈现出减少趋势，大风日数的减少幅度大小依次是：春季＞夏季＞秋季＞冬季，其中春季和夏季大风日数的减少趋势显著；（3）突变分析表明，春、夏、秋、冬四季大风日数未发生突变，年大风日数在1975 年发生了由多到少的突变。对于防灾减灾，合理利用气候资源，改善生态环境很有价值。     

Bio‐physical models of marine environments reveal biases in the representation of protected areas

1. The significant shortfall in global marine protection targets is likely to continue to drive rapid growth in marine protected areas (MPAs). Systematic conservation planning to fill gaps in marine protection requires sufficient knowledge of both the distribution of biodiversity and the threats to species and ecosystems. Yet such data are lacking for much of the marine environment, creating significant challenges for planning effective marine protection.
2. In the absence of habitat mapping data, critical environmental variables associated with species' distributions can be used to model the spatial distribution of different environments. Although this approach has been used in some jurisdictions to assist MPA planners, the increased availability and resolution of spatial data now provide an opportunity to improve assessments of MPA representation.
3. Capitalizing on advances in spatial data, this study uses a range of biological and physical environmental attributes to model the distribution of Australian marine environments. Given many Australian MPAs were implemented without knowledge of the distribution of species and benthic habitats, this Bio‐physical model is used to assess MPA coverage and equality of protection for Australian marine environments.
4. Results of the Bio‐physical model revealed that Australian MPAs overrepresent warm, offshore waters (such as the Coral Sea) and underrepresent temperate environments. Furthermore, the distribution of protection in Australian MPAs is heavily skewed, with no‐take protection disproportionately targeting tropical environments, leaving major gaps in the protection of both temperate and nearshore habitats.
5. Without comprehensive habitat mapping, the representativeness and adequacy of an MPA system cannot be accurately evaluated, nor can the required expansion of MPAs be planned effectively. In the interim, the biological and physical attributes chosen for this model provide useful proxies to assist in efforts to better target current and future protection based on the most up‐to‐date knowledge.

     

Looking beyond the horizon: An early warning system to keep marine mammal information relevant for conservation

1. Important marine mammal areas (IMMAs) are discrete portions of habitat, important to marine mammal species, that have the potential to be delineated and managed for conservation. Although IMMAs are not a blueprint for marine protected areas or other conservation designations, they are useful for providing a foundation for marine spatial planning and systematic conservation planning that can then lead to protected areas or special spatial regulations. To be most useful for supporting management and conservation, however, the information coming out of IMMAs needs to reflect current conditions.
2. An ‘early warning system’ is proposed with a generic set of indicators to flag when marine mammal species in IMMAs require management interventions due to changing distributions or decreasing populations. Rather than signifying that quantitative thresholds have been reached, these indicators comprise alerting information derived from visual or acoustic census, satellite imagery analysis, whale‐watching logs, or increases in mortality reported by stranding networks that can trigger additional targeted research.
3. Although it is possible that in some regions data will be sufficient to provide quantifiable indicators, the system is meant to rely on existing data sources, and be adaptable to the circumstances of each region.
4. Regional expert groups can utilize early warning system information and feed it into IMMA‐related spatial planning in two ways: by nominating additional areas of interest, and by providing a scientific rationale for revising IMMA boundaries, to be considered at the next decadal IMMA regional expert workshop.
5. IMMA‐driven consolidation of information that is as current as possible will prove valuable for enhancing regional cooperation to conserve marine mammals, and will be useful as countries implement new protected areas to conserve marine mammals and other marine biodiversity.

     

Habitat use of a coastal delphinid population investigated using passive acoustic monitoring

1. The population of bottlenose dolphins in eastern Scotland has undergone significant range expansion since the 1990s, when a Special Area of Conservation was established for the population.
2. Distribution of this population is well described within areas of its range where intensive work has been carried out, such as the inner Moray Firth, St Andrews Bay and the Tay estuary area. However, elsewhere in their range, habitat use is less well understood.
3. In this study, a large‐scale and long‐term passive acoustic array was used to gain a better understanding of bottlenose dolphin habitat use in eastern Scottish waters, complementing and augmenting existing visual surveys.
4. Data from the array were analysed using a three‐stage approach. First, acoustic occupancy results were reported; second, temporal trends were modelled; and third, a spatial–temporal‐habitat model of acoustic occupancy was created.
5. Results from the acoustic occupancy are in agreement with visual studies that found that areas near known foraging locations were consistently occupied. Results from the temporal trend analysis were inconclusive. Habitat modelling showed that, throughout their range, bottlenose dolphins are most likely to be detected closer to shore, and at a constant distance from shore, in deeper water.