中国生态补偿的省域差异及影响因素分析

由于中国区域发展水平、生态资源本底等诸多因素的差异性,致使生态补偿实践工作也存在一定的地域差异。生态补偿的补偿类型、利益主体（谁补偿、补给谁）、补偿形式、补偿标准（补多少）及补偿方式与渠道等是其理论研究与实践工作的核心。中国生态补偿实践格局存在省域差异,在补偿类型上,涉及综合型、森林生态补偿、湿地生态补偿、垃圾处理生态补偿、流域生态补偿等各个方面,且省级差异较大;在补偿形式上,中央政府通过财政转移支付实施的生态补偿和省域政府对生态保护者的补偿是中国各省域生态补偿利益关系的两种主要形式;在补偿标准上,经济发展水平较高的北京、广东等省的补偿水平相对较高,而新疆、西藏、甘肃、贵州等经济相对落后地区的生态补偿标准较低;在补偿方式与渠道上,财政转移支付在各省普遍采用,赔偿金、资源价值费、资源税在各省得到不同程度的运用;在补偿利益主体上,“中央政府-地方政府、地方政府-农户”的生态补偿利益格局在全国各省均有,“企业-农户、企业-地方政府”作为补充。之所以在不同省域之间会存在生态补偿的差异性,这与国家的政策方针导向、面临的生态环境问题、生态资源禀赋及地域分布、生态环境保护的积极性、社会经济发展水平、公众对生态资源价值的认识、区域地理环境特征等因素密切相关。对于中国生态补偿的省域差异,既要认识到其存在的客观性,同时需要从政策、管理、公众参与等多方面采取措施加以管控与协调。     

The influence of caste,class and gender in surviving multiple disasters: A case study from Orissa,India

Sociological and anthropological studies in India reveal that caste, class and gender in everyday life are both rigid and dynamic, but little is known about how they influence the survival mechanisms of women during ‘multiple disasters’, nor about how women negotiate with these structural mores to meet their cultural and biological needs. This is explored through the experiences of 12 women-headed households from different social castes in Orissa, India. Multiple disasters or disasters that occur in ‘one specific place’ (such as floods, cyclone and drought) are regular events in coastal parts of the state of Orissa. The super-cyclone of 1999, two floods of 2001 and 2003 and drought of 2000 and 2002 form the case study. Participant observation, in-depth interviews and documentary evidence complement the fieldwork. The findings suggest a complex interplay of caste, class and gender in surviving the multiple disasters including structural mutability under the purview of social organization. In doing so, women demonstrated their individual and collective agencies in order to meet their cultural and biological needs under severe crisis. This research stresses that gender and disaster studies must include a consideration of caste and class for effective disaster management and social vulnerability reduction.     

东太湖水质污染特征研究

2008年8月至2009年7月研究了江苏东太湖网围养殖区、东茭咀、油车港等12个典型湖区的水环境特征,运用主成分分析法研究东太湖水质的空间异质性及主控因素.结果表明,东太湖水质在各区域存在显著差异,季节变化明显,主要表现为丰水期水质优于枯水期. 12个水质指标简化成2个主成分,主成分I代表水体的总磷、溶解性总磷和磷酸盐水平,是东太湖水域最主要的污染因子;主成分II主要反映水体的有机污染状况,叶绿素a和高锰酸盐指数的贡献率较大.利用主成分得分进行聚类分析,将12个采样点分为4类,北部由于受东山镇生活污水影响,各入湖河道口污染较为严重,特别是油车港;网围养殖区由于人工栽植的水草较为茂盛,水质较好,同东茭咀、太浦河口等水域的水质一样.     

5个腰果无性系株形研究初报

比较了5个腰果无性系株形之间的差异,分析了各株形性状之间及其与产量性状之间的相关性。结果表明：5个无性系之间的主干高度、主干直径、2级枝梢长度、3级枝梢直径、4级枝梢长度、4级枝梢直径均存在显著差异,1级枝梢长度、1级枝梢直径、2级枝梢直径以及3级枝梢长度之间的差异均不显著;5个无性系之间的结果枝叶片数量、叶片长度、叶片宽度、株高、结果枝条数、结果数以及株产量均存在显著差异,冠幅之间的差异不显著。5个无性系的2、3、4级枝梢直径以及主杆直径之间的相关性达显著或极显著水平;株高与2、3级枝梢直径以及主杆直径之间具有显著的相关性;1级枝梢长度与1级枝梢直径之间呈显著的负相关关系;叶片长度和宽度之间呈极显著的正相关关系。产量与结果枝条数、结果数以及冠幅之间呈显著或极显著的正相关关系。5个无性系中,HL2-21、FL30分别适宜作抗风固沙、水土保持的生态经济林优良树种。     

中国海岛县际经济差异与今后产业布局分析

我国12个海岛县,分散分布在黄海等四大海域中,由于所处的海域位置、海洋与岛陆资源丰度以及受市场机制与人文状况、海岛资源开发力度与所处行政区的影响,海岛县际之间经济存在一定差异。根据海岛县人均GDP计算的基尼系数和绘制的洛伦斯曲线图,可以看出海岛县经济差异在缩小。海岛县之间产业结构也存在不同的演进过程,根据主成分得分值,在坐标系上海岛县的具体分布,可以划分出产业结构的不同演进阶段和产业结构类型。目前,海岛县的经济虽然仍为资源型经济,但在开发利用资源方面,已从海洋生物资源利用为主,逐步转向以利用海洋空间资源、海洋非生物资源、岛陆土地资源和海洋生物资源并重的发展方向。一些陆域发展的产业也逐步向海岛转移和延伸,从而在海岛县经济结构中,二、三产业的比重有所增加。     

塔里木河下游输水前后NDVI差异分析

运用统计方法分析塔里木河下游英苏、喀尔达依、阿拉干三断面输水前后归一化植被指数(NDVI)的差异大小并推测河畔植被对输水的响应程度。结果表明:随着输水进行,研究区NDVI与地下水埋深逐渐呈负相关趋势,NDVI增幅随地下水埋深减小逐渐增大;输水前后相同断面NDVI差异极显著,根据输水前后NDVI差值大小确定植被恢复速度为:英苏>喀尔达依>阿拉干;各断面NDVI在输水前没有差异,输水后断面间NDVI差异显著,根据差异大小确定恢复程度顺序为英苏>喀尔达依>阿拉干;以大西海子水库周边NDVI为参照,确定经7年8次生态输水英苏、喀尔达依、阿拉干三断面植被恢复度分别为20.2%、18.4%和8.4%。以上研究表明,研究区植被恢复仍然有限,坚持持续输水很有必要。     

中国省际资源节约指数的空间差异研究

论文首次利用改进的"节约指数"并结合图形数据,对中国各省区资源消耗现状进行定量分析。结果表明:中国资源节约指数空间差异明显,总体上东部比西部节约、中部过渡(除山西外);低于全国平均节约水平的省域约占2/3,其中大部分在西部地区;此外,经济发展水平越高的省域,资源环境绩效水平相对越好。研究结果揭示了中国不同省域建设节约型社会的节约水平和资源利用效率差异,同时也为促进区域协调发展以及经济社会的可持续发展提供依据。     

Impacts of farmer field schools on productivity of vegetable farming in Indonesia

This study assesses the impact of farmer field schools (FFS) on the productivity of vegetable farming in vegetable‐producing areas of East Java and Bali, Indonesia. The FFS have equipped over 3,000 vegetable farmers with integrated crop management knowledge applicable to chilies and tomatoes. The FFS are expected to enhance farmers’ capacity such that they can increase production. This study employs a difference‐in‐differences (DiD) method to overcome selection bias. A survey of 250 FFS‐graduated farmers and 250 non‐FFS farmers were purposively randomly selected from the overall community of farmers. Focus group discussion was used to support the survey. The results indicate that FFS were successful for enhancing farmers’ capability in vegetable farming. Farmers who participated in FFS have higher productivity than those who did not. Farmers also could adapt and adopt the knowledge gained from FFS as they underwent a process of learning by doing. The impacts of the increase in farmers’ capacity can be more evident if weaknesses during the FFS preparation and implementation can be overcome, to ensure more participation, flexibility to fit different conditions/needs and continuous learning.     

长江经济带绿色城镇化效率评价及其影响因素——基于多维城镇化视角

本文引入资源和环境因素,以城镇化综合指数为期望产出,运用SBM方向性距离函数测算了2010-2020年长江经济带112个地级市（州）的绿色城镇化效率,并采用空间面板模型和地理探测器对绿色城镇化效率的影响因素进行实证分析。结果表明：长江经济带绿色城镇化效率整体水平不高,下游地区绿色城镇化效率高于上游和中游地区,资源消耗和环境污染是效率损失的主要来源;绿色城镇化效率表现出较为明显的热点-次热点-次冷点-冷点自东向西的带状分布格局,存在显著的空间正相关性。政府财政支出对绿色城镇化效率产生负向影响,外商直接投资和产业结构对提升绿色城镇化效率有显著的促进作用,且三者的影响具有地区差异性;市场力因素有利于绿色城镇化效率的提高。邻近城市间绿色城镇化效率的空间溢出效应明显,且空间溢出效应是长江经济带绿色城镇化效率空间差异的最主要因素,各因素的影响具有协同增强的作用。     

Integrating intraseasonal grassland dynamics in cross-scale distribution modeling to support waterbird recovery plans

Despite much discussion about the utility of remote sensing for effective conservation, the inclusion of these technologies in species recovery plans remains largely anecdotal. We developed a modeling approach for the integration of local, spatially measured ecosystem functional dynamics into a species distribution modeling (SDM) framework in which other ecologically relevant factors are modeled separately at broad scales. To illustrate the approach, we incorporated intraseasonal water-vegetation dynamics into a cross-scale SDM for the Common Snipe (Gallinago gallinago), which is highly dependent on water and vegetation dynamics. The Common Snipe is an Iberian grassland waterbird characteristic of European agricultural meadows and a member of one of the most threatened bird guilds. The intraseasonal dynamics of water content of vegetation were measured using the standard deviation of the normalized difference water index time series computed from bimonthly images of the Sentinel-2 satellite. The recovery plan for the Common Snipe in Galicia (northwestern Iberian Peninsula) provided an opportunity to apply our modeling framework. Model accuracy in predicting the species’ distribution at a regional scale (resulting from integration of downscaled climate projections with regional habitat–topographic suitability models) was very high (area under the curve [AUC] of 0.981 and Boyce's index of 0.971). Local water-vegetation dynamic models, based exclusively on Sentinel-2 imagery, were good predictors (AUC of 0.849 and Boyce's index of 0.976). The predictive power improved (AUC of 0.92 and Boyce's index of 0.98) when local model predictions were restricted to areas identified by the continental and regional models as priorities for conservation. Our models also performed well (AUC of 0.90 and Boyce's index of 0.93) when projected to updated water-vegetation conditions. Our modeling framework enabled incorporation of key ecosystem processes closely related to water and carbon cycles while accounting for other factors ecologically relevant to endangered grassland waterbirds across different scales, allowed identification of priority areas for conservation, and provided an opportunity for cost-effective recovery planning by monitoring management effectiveness from space.