Avian diversity and function across the world's most populous cities

Understanding the composition of urban wildlife communities is crucial to promote biodiversity, ecosystem function and links between nature and people. Using crowdsourced data from over five million eBird checklists, we examined the influence of urban characteristics on avian richness and function at 8443 sites within and across 137 global cities. Under half of the species from regional pools were recorded in cities, and we found a significant phylogenetic signal for urban tolerance. Site-level avian richness was positively influenced by the extent of open forest, cultivation and wetlands and avian functional diversity by wetlands. Functional diversity co-declined with richness, but groups including granivores and aquatic birds occurred even at species-poor sites. Cities in arid areas held a higher percentage of regional species richness. Our results indicate commonalities in the influence of habitat on richness and function, as well as lower niche availability, and phylogenetic diversity across the world's cities.     

Acoustic communities in an environmental gradient from native to urban areas in Central Brazil

As urban areas expand due to increasing human populations, natural habitats are diminishing in quantity and quality. We conducted a study to examine the response of diurnal acoustic communities along a gradient of environments, ranging from native to dense urban areas. We hypothesized that acoustic indices would decline with urbanization, transitioning from natural and rural areas to urban environments. We conducted the research in and around Brasília, Central Brazil. We deployed 24 digital recorders in native, rural, low-density and high-density urban areas. We employed five commonly used acoustic indices (ADI, ACI, NDSI, H and BI) to characterize the acoustic communities and represent the existing biodiversity numerically. We initially compared the index values across different land use types using a non-parametric rank sum test. Subsequently, we selected eight landscape metrics and performed a principal component analysis to summarize the surrounding matrix at each sampling point. We then employed generalized linear models to determine if the acoustic indices exhibited the anticipated variations. The results indicated significant variations in all indices among the different land use types, indicating their responsiveness to distinct acoustic communities and environmental characteristics. ADI, H and NDSI exhibited declining values from native to urban areas, while ACI and BI displayed the opposite trend. These findings underscore the influence of landscape structure on acoustic indices. Consequently, we concluded that adopting appropriate landscape planning, mainly through integrating natural and urban areas, could help preserve biodiversity in tropical urban regions.     

HomeRange: A global database of mammalian home ranges

Motivation

Home range is a common measure of use of space by animals because it provides ecological information that is useful for conservation applications. In macroecological studies, values are typically aggregated to species means to examine general patterns of use of space by animals. However, this ignores the environmental context in which the home range was estimated and does not account for intraspecific variation in home range size. In addition, the focus of macroecological studies on home ranges has historically been biased towards terrestrial mammals. The use of aggregated numbers and the terrestrial focus limit our ability to examine home-range patterns across different environments, their variation in time and variation between different levels of organization. Here, we introduce HomeRange, a global database with 75,611 home-range values across 960 different species of mammals, including terrestrial, aquatic and aerial species.

Main types of variables contained

The dataset contains estimates of home ranges of mammals, species names, methodological information on data collection, method of home-range estimation, period of data collection, study coordinates and name of location, in addition to species traits derived from the studies, such as body mass, life stage, reproductive status and locomotor habit.

Spatial location and grain

The collected data are distributed globally. Across studies, the spatial accuracy varies, with the coarsest resolution being 1°.

Time period and grain

The data represent information published between 1939 and 2022. Across studies, the temporal accuracy varies; some studies report start and end dates specific to the day, whereas for other studies only the month or year is reported.

Major taxa and level of measurement

Mammalian species from 24 of the 27 different taxonomic orders. Home-range estimates range from individual-level values to population-level averages.

Software format

Data are supplied as a comma-delimited text file (.csv) and can be loaded directly into R using the “HomeRange” R package ( https://github.com/SHoeks/HomeRange ).     

Human appropriation of net primary production as driver of change in landscape-scale vertebrate richness

Aim

Land use is the most pervasive driver of biodiversity loss. Predicting its impact on species richness (SR) is often based on indicators of habitat loss. However, the degradation of habitats, especially through land-use intensification, also affects species. Here, we evaluate whether an integrative metric of land-use intensity, the human appropriation of net primary production, is correlated with the decline of SR in used landscapes across the globe.

Location

Global.

Time period

Present.

Major taxa studied

Birds, mammals and amphibians.

Methods

Based on species range maps (spatial resolution: 20 km × 20 km) and an area-of-habitat approach, we calibrated a “species–energy model” by correlating the SR of three groups of vertebrates with net primary production and biogeographical covariables in “wilderness” areas (i.e., those where available energy is assumed to be still at pristine levels). We used this model to project the difference between pristine SR and the SR corresponding to the energy remaining in used landscapes (i.e., SR loss expected owing to human energy extraction outside wilderness areas). We validated the projected species loss by comparison with the realized and impending loss reconstructed from habitat conversion and documented by national Red Lists.

Results

Species–energy models largely explained landscape-scale variation of mapped SR in wilderness areas (adjusted R²-values: 0.79–0.93). Model-based projections of SR loss were lower, on average, than reconstructed and documented ones, but the spatial patterns were correlated significantly, with stronger correlation in mammals (Pearson's r = 0.68) than in amphibians (r = 0.60) and birds (r = 0.57).

Main conclusions

Our results suggest that the human appropriation of net primary production is a useful indicator of heterotrophic species loss in used landscapes, hence we recommend its inclusion in models based on species–area relationships to improve predictions of land-use-driven biodiversity loss.     

融入生态安全的兰西城市群土地利用功能布局优化

区域生态安全对协调土地利用和生态环境的关系、促进资源的合理配置以及实现区域协调发展具有重要的意义。以兰西城市群作为典型地区,将形态空间格局分析(MPSA)应用到土地利用功能优化配置研究中,通过构建MSPA-GMOP-PLUS耦合模型,将生态安全纳入城市群土地利用功能和空间结构优化中,为区域布局优化提供了新思路。结果表明：(1)生态源地对区域生态安全具有重要意义,2020年兰西城市群共有20个生态源地,生态核心总面积为43355.5 km²。此外,在土地利用功能分区中,生态保护区面积占比仍为最大(30.7%),生态边缘区面积也占19.2%,为生态保护提供了缓冲地带。(2)基于MSPA的仿真模拟可以限制城市群不平衡的发展趋势,优于传统土地利用规划模式。新模式下的生产、生活、生态用地占比分别由传统模式的30.17%、11.25%、55.58%优化至31.92%、10.70%和57.38%。优化结果不仅保证了优质生产空间的稳定性,而且有效确保了生态空间的可持续性。此外,不同开发情景的下土地利用布局结果,可以作为提高土地资源利用率和制定土地利用空间规划的参考。     

珠三角城市群区域生态系统服务供需均衡关系

生态系统服务供需均衡关系分析为生态系统管理提供了详实的科学基础信息。基于土地利用、气象和社会经济等多源数据,采用遥感反演、水量平衡方程、修正的通用土壤流失方程和植被净生产力模型(CASA)等方法,分别评估了1990—2015年珠三角城市群粮食供给、产水服务、固碳释氧和土壤保持服务;采用相关社会经济指标核算了生态系统服务的需求量;进而揭示了栅格、县域和市域多尺度的生态系统服务供需均衡关系及其时空演变特征。研究发现：(1)除粮食供给外,产水服务、固碳释氧和土壤保持服务呈波动性增加的趋势,增幅分别为52.2%、21.8%和73.4%;在空间上表现为中部平原地区服务水平低,低山丘陵地带高的分布特征。(2)除土壤保持服务外,粮食供给、产水服务和固碳释氧服务需求量不断增加,增幅分别为10.1%、17.5%和769.4%;中部平原地区生态系统服务需求量大,低山丘陵地带小。(3)除土壤保持和产水服务外,粮食供给、固碳释氧及综合服务供需指数不断下降,其中,2015年粮食供给和固碳释氧供需指数分别为-0.47和-0.71。研究结果可为决策者了解区域的生态系统服务供需均衡匹配状况提供科学基础信息,直接服务并...     

从城市到城市群：京津冀物质代谢特征及影响因素

随着城市化进程和一体化战略的持续推进,城市管理者急需了解城市规律以消减生态-资源-环境挑战,并提供坚实物质基础。以京津冀城市群及其组成城市为研究对象,创新性地从城市群和城市两尺度核算并分析了2000—2017年物质消耗状况及变化趋势,识别并对比了主要贡献物质、贡献部门和影响因素。研究表明：(1)研究期间,京津冀城市群物质消耗量总体上升。从物质类型看,主要由非金属矿物(>34.2%)拉动;从产业结构看,受到工业部门(>58%)绝对影响。首要驱动因素为经济规模(>50%)。(2)各城市物质消耗量与城市群较为类似,总体也呈增长态势,几乎均受到非金属矿物和工业部门驱动,且经济规模起到正向促进作用,不同的是物质消耗强度作用类型多样,且产业结构效应在城市中贡献更为突出。研究结果在一定程度上明确了城市及城市群代谢的规律,能够为优化资源利用效率和资源配置结构奠定基础,为城市及城市群生态管理与调控提供切实可行的落力点。     

基于土地利用变化与生态系统服务供需的中国野生亚洲象时空迁移特征分析

2021年4月,我国15头野生亚洲象(Elephas maximus)从西双版纳一路北迁至昆明市受到了全世界的关注,分析我国野生亚洲象分布区土地利用变化、生态系统服务供需关系如何影响野生亚洲象分布,对保护亚洲象与提高当地人类福祉具有重要的意义。利用生态系统服务价值当量因子法和生态系统服务需求模型计算中国野生亚洲象分布区1990、2005、2015年生态系统服务供给价值与需求指数,通过空间标准化匹配出四种生态系统服务供需模式,探究我国野生亚洲象偏好分布的供需模式。结果表明,林地、草地和耕地是最主要的土地利用类型,1990—2015年,林地、草地和耕地的面积变化率分别为1.09%、-4.82%、-4.86%。1990、2005、2015年生态系统供给总价值分别为6108.55亿元、7434.41亿元、13973.37亿元;生态系统服务需求不断提高,整体呈现中间高,四周低的分布格局。在研究的25年内,亚洲象分布于高供给-高需求与高供给-低需求区域,且有向高供给-高需求区域迁徙的趋势。     

宁夏银川平原沙化土地不同人工林土壤质量评价

沙化土地土壤贫瘠、生产力低,人工植被恢复是重要的土壤改良措施。为研究宁夏银川平原沙地不同人工林栽植对土壤的影响,以银川腹部沙地银川植物园沙化土壤恢复区的2017年3月种植的文冠果(Xanthoceras sorbifolium)和欧李(Cerasus humilis)人工林地为研究对象,以邻近的长期撂荒地为对照,对土壤质量进行了研究。2020年7—8月采集土样并测定了土壤物理、化学、生物学等20个指标作为土壤质量评价的总数据集,方差分析筛选出差异显著性的9个指标作为重要数据集指标,采用主成分分析法和Norm值建立土壤质量评价指标最小数据集(MDS),利用线性和非线性两种评分方法计算土壤质量指数(SQI)。结果表明：与长期撂荒地相比,银川平原沙化土壤恢复区人工文冠果、欧李林地的土壤理化性质较好,土壤砂粒百分比减少、粉粒和黏粒百分比有所增加,pH降低;有机质、全氮、全磷、全钾等主要养分指标提高,蔗糖酶、脲酶、纤维素酶等主要生物酶活性也高于撂荒地,筛选出的研究区土壤质量评价MDS指标为土壤粉粒百分比和全磷。2种评价方法下,文冠果和欧李人工恢复林地的SQI高于撂荒地,但提高不显著(P>0...