东江流域景观格局对氮、磷输出的影响

基于实地采样水质数据与遥感解译所得土地利用数据,采用相关分析和冗余分析,从时间和空间两个尺度,探讨东江流域景观格局与氮、磷输出的关系。结果表明：（1）城镇和水域面积占比与河流氮磷含量正相关,林地和草地面积占比与河流氮磷含量负相关。（2）景观分裂指数（DIVISION）、香浓多样性指数（SHDI）、散布与并列指数（IJI）、边缘密度（ED）和斑块密度（PD）等景观指数与河流氮磷含量呈正相关关系,最大斑块指数（LPI）、蔓延度指数（CONTAG）和相似邻近比例（PLADJ）与河流总氮总磷含量负相关。（3）平水期河流水质与景观格局的相关性强于丰水期;从空间尺度来看,集水区尺度与河流水质的相关性好于缓冲区尺度;此外,总氮对于景观格局的响应比总磷更敏感。     

Probing the Effects of Local Frustration in the Folding of a Multidomain Protein

Our current knowledge of protein folding is primarily based on experimental data obtained from isolated domains. In fact, because of their complexity, multidomain proteins have been elusive to the experimental characterization. Thus, the folding of a domain in isolation is generally assumed to resemble what should be observed for more complex structural architectures. Here we compared the folding mechanism of a protein domain in isolation and in the context of its supramodular multidomain structure. By carrying out an extensive mutational analysis we illustrate that while the early events of folding are malleable and influenced by the absence/presence of the neighboring structures, the late events appear to be more robust. These effects may be explained by analyzing the local frustration patterns of the domain, providing critical support for the funneled energy landscape theory of protein folding, and highlighting the role of protein frustration in sculpting the early events of the reaction.     

Landscape Features Fail to Explain Spatial Genetic Structure in White-Tailed Deer Across Ohio,USA

Landscape features influence wildlife movements across spatial scales and have the potential to influence the spread of disease. Chronic wasting disease (CWD) is a fatal prion disease affecting members of the family Cervidae, particularly white-tailed deer (Odocoileus virginianus), and the first positive CWD case in a wild deer in Ohio, USA, was recorded in 2020. Landscape genetics approaches are increasingly used to better understand potential pathways for CWD spread in white-tailed deer, but little is known about genetic structure of white-tailed deer in Ohio. The objectives of our study were to evaluate spatial genetic structure in white-tailed deer across Ohio and compare the support for isolation by distance (IBD) and isolation by landscape resistance (IBR) models in explaining this structure. We collected genetic data from 619 individual deer from 24 counties across Ohio during 2007–2009. We used microsatellite genotypes from 619 individuals genotyped at 11 loci and haplotypes from a 547-base pair fragment of the mitochondrial DNA control region. We used spatial and non-spatial genetic clustering tests to evaluate genetic structure in both types of genetic data and empirically optimized landscape resistance surfaces to compare IBD and IBR using microsatellite data. Non-spatial genetic clustering tests failed to detect spatial genetic structure, whereas spatial genetic clustering tests indicated subtle spatial genetic structure. The IBD model consistently outperformed IBR models that included land cover, traffic volume, and streams. Our results indicated widespread genetic connectivity of white-tailed deer across Ohio and negligible effects of landscape features. These patterns likely reflect some combination of minimal resistive effects of landscape features on white-tail deer movement in Ohio and the effects of regional recolonization or translocation. We encourage continued CWD surveillance in Ohio, particularly in the proximity of confirmed cases. © 2021 The Wildlife Society. This article has been contributed to by US Government employees and their work is in the public domain in the USA.     

Modeling Cumulative Effects of Climate and Development on Moose,Wolf, and Caribou Populations

Wildlife models focused solely on a single strong influence (e.g., habitat components, wildlife harvest) are limited in their ability to detect key mechanisms influencing population change. Instead, we propose integrated modeling in the context of cumulative effects assessment using multispecies population dynamics models linked to landscape-climate simulation at large spatial and temporal scales. We developed an integrated landscape and population simulation model using ALCES Online as the model-building platform, and the model accounted for key ecological components and relationships among moose (Alces alces), grey wolves (Canis lupus nubilus), and woodland caribou (Rangifer tarandus caribou) in northern Ontario, Canada. We simulated multiple scenarios over 5 decades (beginning 2020) to explore sensitivity to climate change and land use and assessed effects at multiple scales. The magnitude of effect and the relative importance of key factors (climate change, roads, and habitat) differed depending on the scale of assessment. Across the full extent of the study area (654,311km² [ecozonal scale]), the caribou population declined by 26% largely because of climate change and associated predator-prey response, which led to caribou range recession in the southern part of the study area. At the caribou range scale (108,378 km²), which focused on 2 herds in the northern part of the study area, climate change led to a 10% decline in the population and development led to an additional 7% decline. At the project scale (8,331 km²), which was focused more narrowly on the landscape surrounding 4 proposed mines, the caribou population declined by 29% largely in response to simulated development. Given that observed caribou population dynamics were sensitive to the cumulative effects of climate change, land use, interspecific interactions, and scale, insights from the analysis might not emerge under a less complex model. Our integrated modeling framework provides valuable support for broader regional assessments, including estimation of risk to caribou and Indigenous food security, and for developing and evaluating potential caribou recovery strategies. © 2021 The Authors. The Journal of Wildlife Management published by Wiley Periodicals LLC on behalf of The Wildlife Society.     

黄丘区特色治理开发小流域土壤侵蚀变化对景观格局演变的响应

研究土壤侵蚀与景观格局变化的关系对小流域的治理开发具有重要的指导意义。本研究以实施退耕还林草、生态农业、生态旅游及科技示范的黄土高原安塞南沟特色治理小流域为研究对象,基于GIS平台和通用土壤流失方程,分析小流域1981—2018年景观格局和土壤侵蚀量的时空演化特征,并利用主成分回归法,从斑块类型水平和景观水平两个尺度分析土壤侵蚀模数与3类9个景观格局指标的关系。结果表明: 研究期间,在5种景观类型中,耕地和林地面积的时空变化主导了南沟小流域景观格局的演化,并且影响整个小流域的聚集分散程度;南沟小流域的土壤侵蚀量逐年减少,1981—2018年土壤侵蚀面积减少29.7%,侵蚀模数减少61.2%,且有73.4%的区域土壤侵蚀强度减轻;耕地和林地面积的变化决定了整个小流域土壤侵蚀模数的变化,其景观格局指数的变化方向与该景观类型土壤侵蚀的变化方向一致;退耕还林草工程是流域景观格局变化、土壤侵蚀减轻的主要原因,特色开发治理可以减弱局部地区土壤侵蚀强度。景观类型的合理化配置能有效地防治小流域土壤侵蚀,将其与特色治理开发相结合有助于实现小流域可持续高质量发展。     

黄土高原林区生态系统服务价值与景观生态风险时空变化及其关联性——以子午岭区为例

当前,人们对自然景观提供的生态系统服务保护意识正在加强,但将生态系统服务价值纳入生态风险管控的研究和实践相对较少。本研究以子午岭区为例,基于2.5 km×2.5 km的评价小区,开展了1980、1990、2000、2010和2017年黄土高原林区——子午岭区景观格局类型格网化和重采样,定量评价了生态系统服务价值和景观生态风险,揭示了二者时空变化及其关联性。结果表明: 1980—2017年,子午岭区生态系统服务价值从其中心地带向外缘递减,总量由123.45亿元增长为126.33亿元;子午岭区景观生态风险从其中心地带向外缘递增,子午岭区的景观生态风险有所降低,生态状况总体好转。子午岭区生态系统服务价值与景观生态风险之间存在显著的负相关关系及明显的负向空间关联性;高价值-低风险区主要为子午岭林区,未来其生态系统服务价值可能会保持不变。     

川滇生态屏障区景观生态风险评价及影响因素

探究重点生态功能区景观生态风险时空演变特征,揭示人类活动对景观生态风险恶化的潜在影响,对防范和化解景观生态风险、促进区域可持续发展具有重要意义。以2000、2010、2020年土地覆被数据为基础,运用ArcGIS 10.8和Fragstats 4.2等软件,基于景观格局指数和脆弱度指数构建景观生态风险评价模型,借助空间分析方法,揭示川滇生态屏障区景观生态风险时空演变特征,采用地理探测器测度不同区域范围的自然和社会经济因素对景观生态风险的影响。结果表明: 2000—2020年间,研究区人造地表、水体、灌木地面积总体呈上升趋势,林地、耕地、草地、湿地、裸地、冰川永久积雪面积总体呈下降趋势,景观类型转移以林地、草地、耕地间转移为主,其中,耕地转人造地表最显著;景观生态风险平均值有所下降,景观生态风险等级分布与景观类型变化及转移特征较为一致;研究区整体上以低生态风险、较低生态风险和较高生态风险等级为主;景观生态风险的时空演化特征总体受高程、降水等自然因素影响,经济社会及区域可达性对局部风险恶化区的影响较为突出。     

基于MSPA和MCR模型的秦岭(陕西段)山地生态网络构建

快速的城市化发展破坏了生境斑块的连通性,而在应对此环境变化中,从斑块层构建区域生态网络的研究不足。本研究以秦岭(陕西段)为对象,采用形态学空间格局分析(MSPA)辨别生态源地,利用最小阻力模型(MCR)提取潜在生态廊道,构建秦岭生态网络;基于重力模型对生态网络内部斑块的重要性进行分级,并分析了网络的结构特征及景观构成。结果表明: 秦岭(陕西段)生态网络由10个生态源地、45条潜在生态廊道和38个脚踏石构成,生态源地总面积29686.15 km²;网络闭合度(0.11)、线点率(1.18)、网络连接度(0.42)、成本比(0.99)综合表明,网络结构中潜在生态廊道和生态节点的连通性较好,而源地间的连通程度低,构建网络的成本较高;重要生态廊道主要由林地、草地、耕地等景观类型构成,其中,林地面积最大,为571.00 km²,约占廊道总面积的89.2%,景观结构良好;在生态网络中应加强保护生态源地,优先建立并保护重要生态廊道和生态节点。研究结果可为秦岭生态环境保护与高质量发展提供科学的参考和依据。     

A comprehensive landscape genomics approach for seed sourcing strategies in landscapes under varying degrees of habitat disturbance

As most ecosystems around the world are threatened by anthropogenic degradation and climate change, there is an increasing urgency to implement restoration strategies aiming at ensuring ecosystem self‐sustainability and resilience. An initial step towards that goal relies on selecting the most suitable seed sources for a successful revegetation, which can be extremely challenging in highly degraded landscapes. The most common seed sourcing strategy is to select local seeds because it is assumed that plants experience strong adaptations to their natal sites. An alternative strategy is the selection of climate‐adapted genotypes to future conditions. While considering future climatic projections is important to account for spatial shifts in climate to inform assisted gene flow and translocations, to restore highly degraded landscapes we need a comprehensive approach that first accounts for species adaptations to current at‐site environmental conditions. In this issue of Molecular Ecology Resources, Carvalho et al. present a novel landscape genomics framework to identify the most appropriate seed sourcing strategy for moderately and highly degraded sites by integrating genotype, phenotype and environmental data in a spatially explicit context for two native plant species with potential to help restore iron‐rich Amazonian savannas. This framework is amenable to be applicable and adapted to a broad range of restoration initiatives, as the dichotomy between focusing on the current or future climatic conditions should depend on the goals and environmental circumstances of each restoration site.     

乡村景观生物多样性研究进展

乡村景观是一种人文和自然共生的复合生态系统, 为生物多样性的维持提供了支持。目前, 中国传统乡村地区生物多样性的维持正面临着农业集约化、人工林树种单一化、非农业用地急剧扩张及生态传承机制解体等复杂多样的威胁, 亟待展开深入研究。本文在总结乡村景观生物多样性相关概念及特征的基础上, 通过文献分析概括了国际乡村景观生物多样性的热点研究方向, 包括农业集约化下的生物多样性管理、区域尺度乡村景观与生物多样性的协同关系、局地尺度不同乡村景观类型的物种多样性及乡村景观中的生物文化多样性, 进一步梳理了国内在相关研究方向上的主要进展并指出研究不足。在此基础上提出未来研究展望, 包括突出生物文化多样性特征、加强多时空尺度分析、深化动态维持机制研究、推进生物多样性研究在乡村生态景观规划中的全过程应用等建议。