干旱区绿洲城市群地表温度时空变化及其影响因素——以天山北坡城市群为例

基于2005—2019年的MYD11A2时间序列LST遥感数据,首先采用均值标准差法对LST进行分级,分析了天山北坡城市群的LST空间分布格局;其次利用Sen′s斜率分析法、Mann-Kendal趋势检验法和Hurst指数揭示了天山北坡城市群LST在2005—2019年和未来的变化趋势;最后借助地理探测器模型并综合考虑地表覆盖、气候、社会经济和地形因素分析了多空间尺度下LST的主要影响因素。结果表明：(1)天山北坡城市群的吐鲁番市是高温(HT)和极高温(EHT)的主要集聚地;白天和夜间的LST格局差异大,在绿洲区域表现为典型的“昼冷岛,夜热岛”特征。(2)LST在白天和夜间的变化率分别为0.04℃/a和0.03℃/a,白天的升温幅度强于夜间;在乌鲁木齐市、昌吉回族自治州、石河子市和五家渠市LST表现出显著的升高趋势,且在未来也具有相同的趋势。(3)在不同的空间尺度上,LST的主要影响因素不同;从整个天山北坡城市群来看气候因素和地形因素是LST的主要影响因素,而在在石河子市、五家渠市和奎屯市LST的主要影响因素是社会经济因素。     

粤港澳大湾区城市群生态保护优先区识别研究

生态保护优先区识别对于城市群的整体性生态保护和区域生态安全具有重要意义。基于生态保护重要性评价识别城市群生态保护优先区,有助于保障生态系统服务的供给水平和维持生态系统的稳定性。以粤港澳大湾区(以下简称“大湾区”)为研究对象,首先通过增加粮食供给等生态系统服务指标和土地利用强度等生态脆弱性指标构建新的生态保护重要性评价指标体系,以弥补原指标体系忽略部分生态系统服务价值或者关乎生态脆弱性的重要因素所导致的评价结果片面性问题;然后运用结合空间主成分分析法和有序加权平均算子(Ordered Weighted Averaged, OWA)的主客观结合赋权法进行生态保护重要性评价的多情景模拟,并基于保护效率和权衡度进行多情景择优,由此所得最优情景的生态保护优先区的整体生态保护价值相对最高,且一定程度上减小了指标间权衡问题可能导致的评价误差;最终大湾区生态保护优先区面积为26406.04 km²,占大湾区陆域国土总面积的47.69%,主要分布在大湾区中部以外的肇庆、惠州、香港、广州北部、江门外环以及深圳东部沿海,同时优先区识别结果基本覆盖现有生态保护红线和周边大部分一般生态空间...     

贺兰山东坡典型植物群落多样性垂直分布特征与土壤因子的关系

深入探究山地生态系统植物群落多样性与关键土壤因子的关系及土壤因子在植物群落构建与多样性维持中的重要作用是区域生物多样性保护和生态系统服务功能综合提升的基础。本文采用冗余分析（Redundancy analysis,RDA）和相关分析揭示了贺兰山东坡典型植物群落多样性垂直分布格局与土壤因子的关系。结果表明：（1）贺兰山东坡植物群落多样性具有明显的垂直分布格局,针阔叶混交林植物物种组成最为丰富,中域效应明显;不同层次植物多样性随海拔升高变化趋势不一致且各自在不同海拔间差异显著（P<0.05）,植物多样性大体表现为草本层 > 灌木层 > 乔木层。（2）研究区土壤因子沿海拔梯度变化趋势不同,均存在显著差异（P<0.05）,其中土壤含水量（SM）、有机碳（SOC）和全氮（TN）含量空间变异性较大;高山灌丛草甸土壤养分含量最高,高海拔区土壤P限制高。（3）9个土壤因子解释了研究区总体植物多样性89.68%的生态信息,与植物多样性具有较强的相关性,影响不同层次植物多样性垂直分异的关键土壤因子略有不同。综上,土壤有机碳、pH、碳磷比、含水量是影响贺兰山东坡植物多样性空间分布的主要驱动因子。     

森林生态效益补偿优先级机制研究及应用——基于碳汇总量与变化量视角

森林生态效益补偿制度对于提高森林建设者积极性、促进森林生态效益提升具有重要意义。然而,我国森林生态效益补偿实践中依然存在仅以森林面积为补偿依据导致激励错位的问题。基于此,结合国家"双碳"目标,提出一种基于碳汇总量与变化量双向视角的综合森林生态效益补偿优先级机制,选取我国重要生态功能区秦巴山区为案例,分别从森林碳汇总量与变化量视角量化各区县生态补偿优先级,并构建二者结合的综合优先级模型,以促进在生态补偿实践中的资金分配公平性与激励性。研究发现,(1)在研究期内大多区县森林碳汇总量增长,但存在个别区县森林碳汇功能降低的现象,具体原因存在差异;(2)碳汇总量优先级与碳汇变化量优先级清单存在差异。总量优先级高的区县,变化量优先级较低,因此,生态补偿应综合考虑各区县森林碳汇在两个维度的表现;(3)综合优先级排名结果呈现"高值-中值-低值"的不同区间特征,该补偿机制在综合优先级高值区激励区县扩建森林、新增森林碳汇,在中值区激励区县保育森林,在低值区鼓励区县结合森林现状从扩建与保育两个方向提升森林碳汇功能。以森林碳汇保育与增汇成果为导向,有效探索碳汇功能在生态补偿中的实践价值,为我国区域森林生态效益补偿实践的公平性与科学性提供研究基础。     

基于生态系统多维特征的粤港澳大湾区国土空间生态保护修复分区研究

我国国土空间生态保护修复已进入“山水林田湖草”系统治理和建设阶段。开展生态保护修复的分区研究,正确认识生态系统的地域组合特征及其分异规律,可以为落实系统治理理念提供空间指导。当前生态保护修复分区研究逐渐重视生态系统的完整性,但对于生态系统表征维度相对单一,导致对国土空间系统性综合认知受限。基于此,基于生态安全理论以及生态系统综合评估框架,构建生态保护修复分区的多维度指标体系,以提升对国土空间的系统性综合认知。以流域为基本单元,在评估粤港澳大湾区生态现状本底和退化特征的基础上,采用空间聚类方法划分两级生态保护修复分区。结果表明：(1)各流域生态现状质量和退化程度空间分异较为明显。生态现状质量呈现出外部高、中部低的圈层式分异特征。而生态退化空间分布则相对分散。(2)以生态现状综合指数与一级分区指标数据的空间异质性为基础,可将研究区划分为5个在空间上连续的生态保护修复一级区。以生态退化综合指数与二级分区指标数据的空间异质性为基础,可在一级区内部划分出11类29个生态保护修复二级区。研究方案可为国土空间的“山水林田湖草”系统治理提供生态分区优化路径。同时也为研究区生态保护修复提供了空间决策支持...     

DNA metabarcoding reveals that African leopard diet varies between habitats

Understanding carnivores’ diet is key to understanding their adaptability in a rapidly changing world. However, studying diet of large carnivores is difficult due to their elusive nature. In this study, we performed DNA metabarcoding analyses of 82 putative leopard scats collected from two distinct, but connected, habitat types (rainforest and grassland) in the Udzungwa Mountains, Tanzania. Two mitochondrial markers were used to identify predator and prey. Metabarcoding confirmed that 60 of the collected scats (73%) originated from leopards, and nineteen mammalian prey DNA sequences were identified to species. Using prey size correction factors for leopards, and covariates on habitat type and prey ecology, we investigated whether differences in leopard dietary composition were detectable between habitats. We found that leopards in grassland consumed a larger mean prey size compared with leopards in rainforest. Small prey (<19 kg) constituted >70% of the biomass consumed by leopards in rainforest, while large prey (≥80 kg) were only eaten in grassland. Arboreal species constituted 50% of the biomass consumed by rainforest leopards. Our results highlight the importance of arboreal species in their diet. From a management perspective, we suggest continued protection of all prey species in the protected areas to prevent human–wildlife conflicts.     

Conceptual Ecological Model of the Chiquibul/Maya Mountain Massif,Belize

The Chiquibul/Maya Mountain Massif (CM3) is an approximately 1.25 million-acre area in southwestern Belize and is among the most intact tropical forests north of the Amazon. The CM3 has a variety of habitats that contribute to its valuable environmental services and high aesthetic value, but despite its protected area status, the CM3 is under increasing pressure from extraction of natural and cultural resources as a result of transboundary incursions on the western border and increased land-use changes from industrial activities that include agriculture, hydropower development, logging, and mining. Conceptual ecological models (CEM) are effective planning tools for organizing existing information about natural systems for determining gaps in knowledge and research priorities, and for developing objectives and measures of success for management and monitoring programs. The CEM of the CM3 describe ecological relationships among major stressors and attributes of the system and presents performance measures to quantify potential change to attributes. Attributes were derived from defining characteristics of the massif and chosen as valuable ecological and cultural components of the massif. Ecological linkages between stressors and attributes highlight priorities for conservation, management, and research that will ensure continued protection of the CM3.     

Elk survival and mortality causes in the Blue Mountains of Washington

We studied survival of elk (Cervus elaphus) ≥1 yr old and quantified mortality sources in the Blue Mountains of Washington, 2003–2006, following a period of extensive poaching. The population was managed under a spike-only general hunting season, with limited permits for larger males and for females. We radiomarked 190 elk (82 males and 39 females >1 yr old and 65 males 11 months old), most with rumen transmitters and neck radiocollars; 60 elk only received rumen transmitters. We estimated annual survival using known fate models and explored survival differences among sex and age classes and in 2 potentially different vulnerability zones for males. We found little support for differences in survival between younger (2–3-yr old) and older (≥4-yr old) branch-antlered males or zone differences for yearling males. A model with zone differences for branch-antlered males was the second ranked model and accounted for 14% of the available model weight. From the best-supported models, we estimated annual survival for yearling males at 0.41 (95% CI: 0.29–0.53). We estimated pooled adult female survival at 0.80 (95% CI: 0.64–0.93); when an age-class effect was included, point estimates were higher for prime-aged females (2–11 yr: S = 0.81 [0.70–0.88]) than for older females (≥12 yr: S = 0.72 [0.56–0.83]), but confidence intervals broadly overlapped. Only 1 of 7 models with a female age effect on survival was among the competitive models. For branch-antlered males, survival ranged 0.80–0.85, depending on whether zone variation was modeled. We recorded 78 deaths of radiomarked elk. Human-caused deaths (n = 55) predominated among causes and most were of yearling males killed during state-sanctioned hunts (n = 28). Most subadult male deaths were from tribal hunting (n = 5), and most mature males died from natural causes (n = 6) and tribal hunting (n = 5). We detected few illegal kills (n = 4). Our results suggest that increased enforcement effectively reduced poaching, that unreported tribal harvest was not a trivial source of mortality, and that spike-only general seasons were effective in recruiting branch-antlered males. © 2011 The Wildlife Society.