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71.
李萌  王传胜  张雪飞 《地理研究》2019,38(10):2447-2457
水源涵养功能重要性是生态保护红线划分工作中重要的评价指标之一。通过对以往生态系统水源涵养功能区划分的指标及其区域导向的系统梳理,在进一步明晰国土空间规划中水源涵养功能生态保护红线区域指向的基础上,按照国土空间规划关于“三区三线”自下而上试划的要求,探讨了水源涵养重要性生态保护红线划分及其评价的改进方法。选取中国典型喀斯特区域六盘水市作为研究案例区,分别用环保部2015版与2017版《生态保护红线划定技术指南》中的模型法、NPP法以及本研究提出的改进方法,对六盘水市水源涵养功能生态保护红线进行了试划。对比三种方法的划定结果可以看出,改进方法因评价数据精度的提高减少了《生态保护红线划定技术指南》方法的区域损失,提高了区域判别的精准性,可望为国土空间规划中生态保护红线的划定提供科学依据。  相似文献   
72.
近20a来巢湖流域生态服务价值空间分异机制的地理探测   总被引:3,自引:0,他引:3  
黄木易  方斌  岳文泽  冯少茹 《地理研究》2019,38(11):2790-2803
生态系统服务功能是生态系统和生态过程形成和维持的自然环境条件及作用。基于1995—2017年遥感分类数据,对研究区按3 km×3 km幅度网格化2019个样方,利用空间统计和缓冲区等方法进行巢湖流域生态服务价值时空演变特征分析,应用地理探测器工具揭示生态服务价值空间分异的主导因子及因子交互作用机制,并提出生态服务价值空间优化策略。结果表明:① 巢湖流域生态服务价值量由1995年的303.17亿元分别下降为2005年300.95亿元和2017年287.70亿元,近20a来减少约5.11%,年均下降率0.23%,其中合肥市区、巢湖南部和东部地区降速明显;② 生态服务价值等级空间转移分析表明,巢湖流域低级别生态服务价值区域在扩展,中等及高级别区域在缩小。以巢湖为核心的缓冲区分析表明,20a来缓冲区核心环带内生态服务价值量下降18.55%,巢湖流域水环境保护核心区的生态系统功能变化值得关注;③ 地理探测分析表明,人为影响综合指数是生态服务价值空间分异的主导因子;地形、气象因素是重要影响因子;人为影响指数因子、自然因子及社会经济因子的交互协同增强效应共同影响了流域生态服务价值在空间上的分异效果。研究结果在一定程度上可为巢湖流域生态系统调控与优化提供理论依据。  相似文献   
73.
雄安新区生态系统服务簇权衡与协同   总被引:2,自引:0,他引:2  
河北雄安新区建设是千年大计、国家大事。在生态优先、绿色发展理念引领下,深入理解生态系统服务间关系对于优化国土空间开发保护、实现自然资源可持续管理具有重要意义。本文基于多源数据评估了雄安新区四种生态系统服务,分析了生态系统服务间关系,并利用自组织映射特征网络划分了生态系统服务簇,以期为新区统筹权衡规划建设提供科学依据。研究结果表明:雄安新区生物多样性维持服务供给总体呈从东北向西南递增;食物供给服务在安新县与容城县供给较高,在雄县供给较低;产水服务供给以西南部地区较高,东北部地区较低;娱乐服务供给则以中北部地区较高,西南部地区较低。不同类型生态系统服务间多为协同关系,少为权衡关系。识别出四种生态系统服务簇,不同服务簇的主要土地利用类型及服务供给特点均存在差异,食物供给簇以旱地为主,主要提供食物供给服务;文化娱乐簇也以旱地为主,主要提供娱乐服务;生态保育簇以水域、旱地和林地为主,主要提供生物多样性维持服务;城镇生活簇则以建设用地为主,也包括少部分水田,主要以产水服务较高。根据不同生态系统服务供给间关系特征,为新区合理确定土地利用变更时序与位置以及促进多重生态系统服务可持续供给提出了建议。  相似文献   
74.
文章通过断面法调查分析了儋州海域海花岛沿岸、南华墟沿岸和磷枪石岛沿岸造礁石珊瑚的种类组成与群落分布,结果表明:儋州海域造礁石珊瑚共有12科25属55种,相较于此前的研究增加了10个种,优势种为斯氏角孔珊瑚、澄黄滨珊瑚、柱角孔珊瑚;活造礁石珊瑚覆盖率急剧下降,由2012年的42.92%下降至现在的22.24%,降幅高至48.18%;造礁石珊瑚死亡率高居不下,长期维持在35%左右;初级群落以团块状造礁石珊瑚为优势种的趋势愈发明显,且单一绝对优势种的情况频繁出现,说明该海域造礁石珊瑚群落受到了较为严重的破坏,导致群落退化演替,分析认为这种破坏是由自然因素和人为活动共同造成的。  相似文献   
75.
Can deserts be transformed into resources, into assets, and further into cash? It is necessary to scientifically assess desert ecological assets and incorporate them into the national economic accounting system and the current evaluation system for socio-economic development. This study will provide a scientific basis and robust data for establishing a target system that is compatible with both ecological civilization and an associated reward and punishment mechanism, as well as for designing and implementing effective compensation policies for desert ecosystems. This paper first defines desert ecological assets, and then develops a framework for assessing them based on the evaluation of desert ecological resources and desert ecosystem services. This framework paves the foundation for quantitatively assessing desert ecological assets and preparing balance sheets of desert ecological assets. Finally, this paper analyzes current policies relating to desert ecological compensation, discusses how to design compensation policies based on assessment of desert ecological assets, and puts forward suggestions for improving current policies.  相似文献   
76.
Payments for ecosystem services (PES) are one kind of important tool for environmental protection, and have been widely studied by international scholars and conservationists. Based various definitions of PES from recent articles, we have outlined four principles for PES: parity, measurability, additionality and conditionality, and then have used these principles to develop a formula to calculate a standard for PES. Finding a way to use PES to achieve a win-win relationship between economic growth and environmental protection in the Beijing-Tianjin-Hebei Region (BTHR) is a key task for Chinese government. Synergetic development of BTHR has become a national strategy, like The Belt and Road Initiative. This article employed the formula we developed to calculate the net horizontal PES amounts that each provincial government within BTHR should pay. Our findings show that Beijing should have paid 10.44×109 Yuan (0.4% of Beijing’s GRP) and Tianjin 16.56×109 Yuan (0.93% of Tianjin’s GRP) to Hebei in 2016.  相似文献   
77.
The study of water fluxes is important to better understand hydrological cycles in arid regions. Data-driven machine learning models have been recently applied to water flux simulation. Previous studies have built site-scale simulation models of water fluxes for individual sites separately, requiring a large amount of data from each site and significant computation time. For arid areas, there is no consensus as to the optimal model and variable selection method to simulate water fluxes. Using data from seven flux observation sites in the arid region of Northwest China, this study compared the performance of random forest (RF), support vector machine (SVM), back propagation neural network (BPNN), and multiple linear regression (MLR) models in simulating water fluxes. Additionally, the study investigated inter-annual and seasonal variation in water fluxes and the dominant drivers of this variation at different sites. A universal simulation model for water flux was built using the RF approach and key variables as determined by MLR, incorporating data from all sites. Model performance of the SVM algorithm (R2 = 0.25–0.90) was slightly worse than that of the RF algorithm (R2 = 0.41–0.91); the BPNN algorithm performed poorly in most cases (R2 = 0.15–0.88). Similarly, the MLR results were limited and unreliable (R2 = 0.00–0.66). Using the universal RF model, annual water fluxes were found to be much higher than the precipitation received at each site, and natural oases showed higher fluxes than desert ecosystems. Water fluxes were highest during the growing season (May–September) and lowest during the non-growing season (October–April). Furthermore, the dominant drivers of water flux variation were various among different sites, but the normalized difference vegetation index (NDVI), soil moisture and soil temperature were important at most sites. This study provides useful insights for simulating water fluxes in desert and oasis ecosystems, understanding patterns of variation and the underlying mechanisms. Besides, these results can make a contribution as the decision-making basis to the water management in desert and oasis ecosystems.  相似文献   
78.
The Amiens-Renancourt 1 site recently yielded one of the most important Upper Palaeolithic human occupations of northern France by the number of flint artefacts and especially by the presence of Venus figurines. All the material comes from a single archaeological layer located in a tundra gley bracketed by loess units. A multi-proxy study combining a detailed stratigraphy, luminescence and radiocarbon datings and high-resolution (5 cm per sample) grain size and molluscan analyses was therefore carried out to reconstruct and date the associated environmental changes and to determine the exact context of the human occupation. The chronological frame thus established supports the correlations of the archaeology-bearing tundra gley and of an underlying arctic brown soil with Greenland interstadials GI-4 and GI-3. Composition changes in the molluscan population enabled the identification of transitional and optimum phases and sub-phases within these two pedogenetic horizons. A conceptual correlation model linking molluscan phases with millennial-scale variations of Greenland ice-core and Sieben Hengste speleothem climate records is proposed. The Human occupation appears contemporaneous to the end of the stadial–interstadial transition of GI-3. Synchronous in Amiens-Renancourt 1 and Nussloch, subsequent micro-gleys may also result from a regional/global forcing. Such a level of detail is unprecedented in a loess sequence.  相似文献   
79.
Thrombolites are a common component of carbonate buildups throughout the Phanerozoic. Although they are usually described as microbialites with an internally clotted texture, a wide range of thrombolite textures have been observed and attributed to diverse processes, leading to difficulty interpreting thrombolites as a group. Interpreting thrombolitic textures in terms of ancient ecosystems requires understanding of diverse processes, specifically those due to microbial growth and metazoan activity. Many of these processes are reflected in thrombolites in the Cambrian Carrara, Bonanza King, Highland Peak and Nopah formations, Great Basin, California, USA; they comprise eight thrombolite classes based on variable arrangements and combinations of depositional and diagenetic components. Four thrombolite classes (hemispherical microdigitate, bushy, coalescent columnar and massive fenestrated) contain distinct mesoscale microbial growth structures that can be distinguished from surrounding detrital sediments and diagenetic features. By contrast, mottled thrombolites have mesostructures that dominantly reflect post‐depositional processes, including bioturbation. Mottled thrombolites are not bioturbated stromatolites, but rather formed from disruption of an originally clotted growth structure. Three thrombolite classes (arborescent digitate, amoeboid and massive) contain more cryptic textures. All eight of the thrombolite classes in this study formed in similar Cambrian depositional environments (marine passive margin). Overall, this suite of thrombolites demonstrates that thrombolites are diverse, in both internal fabrics and origin, and that clotted and patchy microbialite fabrics form from a range of processes. The diversity of textures and their origins demonstrate that thrombolites should not be used to interpret a particular ecological, evolutionary or environmental shift without first identifying the microbial growth structure and distinguishing it from other depositional, post‐depositional and diagenetic components. Furthermore, thrombolites are fundamentally different from stromatolites and dendrolites in which the laminae and dendroids reflect a primary growth structure, because clotted textures in thrombolites do not always reflect a primary microbial growth structure.  相似文献   
80.
As an important canopy structure indicator, leaf area index (LAI) proved to be of considerable implications for forest ecosystem and ecological studies, and efficient techniques for accurate LAI acquisitions have long been highlighted. Airborne light detection and ranging (LiDAR), often termed as airborne laser scanning (ALS), once was extensively investigated for this task but showed limited performance due to its low sampling density. Now, ALS systems exhibit more competing capacities such as high density and multi-return sampling, and hence, people began to ask the questions like—“can ALS now work better on the task of LAI prediction?” As a re-examination, this study investigated the feasibility of LAI retrievals at the individual tree level based on high density and multi-return ALS, by directly considering the vertical distributions of laser points lying within each tree crown instead of by proposing feature variables such as quantiles involving laser point distribution modes at the plot level. The examination was operated in the case of four tree species (i.e. Picea abies, Pinus sylvestris, Populus tremula and Quercus robur) in a mixed forest, with their LAI-related reference data collected by using static terrestrial laser scanning (TLS). In light of the differences between ALS- and TLS-based LAI characterizations, the methods of voxelization of 3D scattered laser points, effective LAI (LAIe) that does not distinguish branches from canopies and unified cumulative LAI (ucLAI) that is often used to characterize the vertical profiles of crown leaf area densities (LADs) was used; then, the relationships between the ALS- and TLS-derived LAIes were determined, and so did ucLAIs. Tests indicated that the tree-level LAIes for the four tree species can be estimated based on the used airborne LiDAR (R2 = 0.07, 0.26, 0.43 and 0.21, respectively) and their ucLAIs can also be derived. Overall, this study has validated the usage of the contemporary high density multi-return airborne LiDARs for LAIe and LAD profile retrievals at the individual tree level, and the contribution are of high potential for advancing forest ecosystem modeling and ecological understanding.  相似文献   
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