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91.
In this study, seasonal and annual variability in the use of estuarine and ocean beaches by young-of-the-year bluefish, Pomatomus saltatrix, was evaluated by indices of abundance in coastal areas of southern New Jersey (1998–2000). Biological and physical factors measured at specific sites were correlated with bluefish abundance to determine the mechanisms underlying habitat selection. In addition, integrative and discrete indicators of bluefish growth were used to examine spatio-temporal dynamics in habitat quality and its effect on habitat selection by multiple cohorts of bluefish. Intra-annual recruitment to coastal areas of southern New Jersey was episodic, and resulted from the ingress of spring-spawned bluefish (hatch-date April) to estuarine beaches in late May to early June, followed by the recruitment of summer-spawned fish (hatch-date early July) to ocean beaches from July to October. Bluefish utilized estuarine and ocean beaches in a facultative manner that was responsive to dynamics in prey composition and temperature conditions. The recruitment and residency of bluefish in the estuary (1998–1999) and ocean beaches (1998), for example, was coincidental with the presence of the Atlantic silverside Menidia menidia and bay anchovy Anchoa mitchilli, the principal prey species for bluefish occupying these respective habitat-types. Bluefish abundance in the estuary (2000) and ocean beaches (1999–2000) was also correlated with water temperature, with the greatest catches of juveniles coinciding with their optimal growth temperature (24 °C). Bluefish growth, estimated as the slope of age–length relationships and daily specific growth rates, equaled 1.27–2.63 mm fork length (FL) d−1 and 3.8–8.7% body length increase d−1, respectively. The growth of sagittal otoliths was also used as a proxy for changes in bluefish size during and shortly before their time of capture. Accordingly, otolith growth rates of summer-spawned bluefish were greater at ocean beaches relative to the estuary and were explained by the more suitable temperature conditions found at ocean beaches during the mid- to late summer. Notwithstanding the fast growth of oceanic summer-spawned bluefish, individuals spawned in the spring were still larger in absolute body size at the end of the summer growing season (240 and 50–200 mm FL for spring- and summer-spawned bluefish, respectively). The size discrepancy between spring- and summer-spawned bluefish at the onset of autumn migrations and during overwintering periods may account for the differential recruitment success of the respective cohorts.  相似文献   
92.
镇赉县土地利用结构调整   总被引:1,自引:0,他引:1  
基于遥感与GIS进行吉林省镇赉县土地利用现状调查与生态适宜性评价, 通过分析二者差异提出土地利用调整方向及对策, 进一步优化土地利用结构。研究结果显示, 镇赉县宜林地和宜牧地的利用现状主要是盐碱地, 其次为耕地, 很少用于林地与草地; 宜农地和宜农、林、牧地利用格局单一, 耕林草比例不合理; 土地利用结构调整方向为盐碱地治理、退耕还林还草与土地利用格局优化。结合自然环境特点分析, 调整后的土地利用模式有农林复合、林草复合及开发水田等3种, 农、林、牧用地比例接近3∶1∶1, 空间格局交替安排。  相似文献   
93.
从工程地质角度,以东营城区0~50m的土体为研究对象,分析了土体的工程地质特征,采用专家类聚法,对一般工业民用建筑和高层重型建筑物场地的工程建筑适宜性做出了评价并进行了区域划分,对东营城区将来的工程建设规划具有重要的指导意义。  相似文献   
94.
以高黎贡山羚牛为研究对象,选取了植被类型、植被覆盖度、海拔、坡度、水源、土地覆被、主要道路、居民点8个影响因子,基于GIS技术,构建阻力面,从而探测多因子影响作用下高黎贡山羚牛适宜生境。结果表明:区域内羚牛的适宜生境面积整体占比较少,适宜区域主要分布在研究区的中西部及西南地区,在北部区域也有零散分布。羚牛的迁徙受到人类活动的干扰及道路阻隔的影响,其生境遭到一定程度的破坏。结合现有羚牛栖息地分布及最小阻力模型,建立区域内羚牛的生态廊道,结果显示:廊道主要分布于高黎贡山保护区南段、马边瓦底中段、子巴、俄恰沙迪、马士打亚窟、其期北段、四克洛娃俎及木当一带。  相似文献   
95.
积雪资源深刻影响着滑雪旅游的发展与布局,刻画中国积雪资源时空特征,识别旅游开发关键区,对中国冰雪旅游高质量发展具有重要意义。本文通过Mann-Kendall突变检验、热点分析、重要-感知实绩分析(IPA)等方法刻画中国1979—2020年积雪资源时空演变特征,构建资源稳定性-旅游开发适宜性指标体系,识别中国滑雪旅游开发关键区。结果表明:(1)中国积雪资源过去40年变化可划为3个阶段,1980—1995年(Ⅰ)积雪资源下降,1995—2010年(Ⅱ)增加,2010—2020年(Ⅲ)下降。在空间上,变化面积呈现Ⅰ-Ⅱ(33.2%)>Ⅱ-Ⅲ(31.1%)>Ⅰ-Ⅲ(29.3%)的特征;(2)中国积雪资源在月尺度上,1—3月(Ⅰ)积雪资源基本维持稳定,3—10月(Ⅱ)显著下降,10—12月(Ⅲ)恢复。在空间上,变化面积呈Ⅰ-Ⅲ(30.3%)>Ⅱ-Ⅲ(28.3%)>Ⅰ-Ⅱ(26.8%)的变化规律;(3)中国境内滑雪旅游开发极关键区面积占比为4.90%、关键区为11.69%、一般区为31.57%、不关键区为25.73%、极不关键区为26.11%,总体来看中国境内85%的区域不...  相似文献   
96.
利用定性、半定量相结合的层次分析法(AHP),建立地埋管换热系统适宜性递阶层次结构模型,在野外试验、室内测试等基础数据的基础上,选取地下水埋藏深度、砂层厚度、成孔难易程度、地面沉降、热扩散率、比热容、综合热导率等7个评价指标,将东营市浅层地热能开发利用划分为适宜区、较适宜区。这是东营地区第一次利用实测数据开展浅层地热能适宜性评价,为今后的合理开发利用提供了科学依据。  相似文献   
97.
Riparian vegetation provides important wildlife habitat in the southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed cuckoo (Coccyzus americanus occidentalis). We used species observations (n = 479) from a state-wide survey to develop habitat models from 1) three vegetation/land-cover maps produced at different geographic scales ranging from state to national, and 2) new aggregate maps defined by the spatial agreement of cover types, which were defined as high (agreement = all data sets), moderate (agreement ≥ 2), and low (no agreement required). Model accuracies, predicted habitat locations, and total area of predicted habitat varied considerably, illustrating the effects of input data quality on habitat predictions and resulting potential impacts on conservation planning. Habitat models based on aggregated and conflated data were more accurate and had higher model sensitivity than original vegetation/land-cover, but this accuracy came at the cost of reduced geographic extent of predicted habitat. Using the highest performing models, we assessed cuckoo habitat preference and distribution in Arizona and found that major watersheds containing high-probably habitat are fragmented by a wide swath of low-probability habitat. Focus on riparian restoration in these areas could provide more breeding habitat for the threatened cuckoo, offset potential future habitat losses in adjacent watershed, and increase regional connectivity for other threatened vertebrates that also use riparian corridors.  相似文献   
98.
The U.S. National Oceanic and Atmospheric Administration implemented market-based fishery management in the New England groundfishery as catch shares, controlling aggregate harvests through tradable annual catch quotas allocated to fishing groups called sectors. Policy supporters assert that resulting markets raise conservation incentives. In compliance with the Magnuson–Stevens Fishery Conservation and Management Act, species assessments permit catch shares to replace more spatially and temporally specific constraints on fishing gear, time, areas, and daily harvest limits. Qualitative evidence from field interviews and participant observation questions the efficacy of catch shares. Fishing industry members observe that increased presence of large trawl vessels in previously protected areas damages fish subpopulations and benthic habitat. Regulatory bioeconomic models fail to consider these lay observations. The consequent inability of quota markets to recognize the materiality of human–environment relationships at the spatiotemporal scales of fishing activity, and to internalize associated externalities, may have devastating consequences for the fishery.  相似文献   
99.
本研究以福建省永安市为例,通过建立永安市低丘缓坡林地资源建设用地适宜性评价体系,进行建设用地适宜性评价,得到永安市低丘缓坡林地资源建设用地适宜性等级图,结果表明:永安市最适宜开发建设用地的低丘缓坡林地主要分布在中部偏北地区,基本适宜开发建设用地的土地面积占的比重最大;不适宜开发区域所占比重最小。在土地开发建设过程中要综合考虑自然环境、社会条件等各方面的因素,科学合理的开发利用土地。  相似文献   
100.
以黄河下游典型农区封丘县为研究区,调查比较了农业景观中半自然生境(包括人工林、树篱和沟渠)与农田生境中植物和地表节肢动物的物种多样性,并应用广义线性模型(GLM)从不同的空间尺度分析半自然生境和农田中的物种多样性与景观变量之间的关系.结果表明:①林地植物多样性最高,且以人工林和沟渠中的植物物种相似度最高;各半自然生境中地表节肢动物的多度和物种丰富度明显高于农田,且以人工林和树篱间地表节肢动物的相似度最高.②在250 m景观范围内的景观变量能更好地解释植物多样性和地表节肢动物多样性,而树篱和沟渠在400 m景观范围上地表节肢动物的尺度效应最显著.③在250 m尺度上植物多样性与景观变量的拟合方面,在人工林和树篱生境中,散布与并列指数(IJI)和植物丰富度呈显著负相关;人工林中IJI和周长面积比(PA-RAMD)对植物香农多样性指数呈负相关;在树篱中,边缘密度(ED)、聚集度指数(AI)与植物香农多样性指数负相关显著,欧几里得最近距离(ENN_MN)与均匀度指数正相关;在沟渠中,ED、AI与植物丰富度显著负相关.④地表节肢动物与景观变量的拟合显示,在250 m景观范围上,人工林生境主要体现在多度与香农多样性指数(SHDI)和土地利用丰富度的负相关,而农田中则是多度与SHDI呈显著负相关,与ED、PARA_ MD、AI和土地利用丰富度(LUR)呈显著正相关;在400m景观范围上,树篱中,IJI与地表节肢动物的多度和丰富度呈显著正相关;沟渠生境中,只有多度与IJI和土地利用丰富度显著负相关,与SHDI显著正相关.  相似文献   
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