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Medium-resolution Dynamic Habitat Indices from Landsat and Sentinel-2 satellite imagery
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-18 DOI: 10.1016/j.ecolind.2025.113367
Elena Razenkova , Katarzyna E. Lewińska , Akash Anand , He Yin , Laura S. Farwell , Anna M. Pidgeon , Patrick Hostert , Nicholas C. Coops , Volker C. Radeloff
Biodiversity science requires effective tools to predict patterns of species diversity at multiple temporal and spatial scales. The Dynamic Habitat Indices (DHIs) are remotely sensed indices that summarize aboveground vegetation productivity in a way that is ecologically relevant for biodiversity assessments. Existing global DHIs, derived from MODIS at 1-km resolution, predict species richness at broad scales well, but that resolution is coarse relative to the grain at which many species perceive their habitat. With the much finer spatial resolution of Sentinel-2 and Landsat data, plus Landsat’s longer data record, it is possible to track potential changes of vegetation and its impacts on biodiversity at a finer grain over longer periods. Here, our main goals were to derive the DHIs from 10-m Sentinel-2, 30-m Landsat, and 250-m MODIS data for the conterminous US and compare all DHIs at two spatial extents, and to evaluate the ability of these DHIs to predict bird species richness in 25 National Ecological Observatory Network terrestrial sites. In addition, we derived the Landsat DHIs for 1991–2000 and investigated how they changed by 2011–2020. We found that the Sentinel-2, Landsat, and MODIS DHIs were highly correlated when summarized by ecoregion (Spearman correlation ranging from 0.89 to 0.99), indicating good agreement between them and that we were able to overcome the lower temporal resolution of Sentinel-2 and Landsat. Sentinel-2 and Landsat DHIs outperformed MODIS in modeling species richness for all bird guilds, explaining up to 49% of variance of grassland affiliates in linear regression models. Furthermore medium-resolution DHIs (10–30 m resolution) captured spatial heterogeneity much better than MODIS DHIs. We observed considerable changes in Landsat DHIs from 1991–2000 to 2011–2020, such as increased cumulative DHI along the West Coast, in mountain ranges, and in the South, but lower cumulative DHI in the Midwest. Our newly derived DHIs for the conterminous US have great potential for use in biodiversity science and conservation.
{"title":"Medium-resolution Dynamic Habitat Indices from Landsat and Sentinel-2 satellite imagery","authors":"Elena Razenkova ,&nbsp;Katarzyna E. Lewińska ,&nbsp;Akash Anand ,&nbsp;He Yin ,&nbsp;Laura S. Farwell ,&nbsp;Anna M. Pidgeon ,&nbsp;Patrick Hostert ,&nbsp;Nicholas C. Coops ,&nbsp;Volker C. Radeloff","doi":"10.1016/j.ecolind.2025.113367","DOIUrl":"10.1016/j.ecolind.2025.113367","url":null,"abstract":"<div><div>Biodiversity science requires effective tools to predict patterns of species diversity at multiple temporal and spatial scales. The Dynamic Habitat Indices (DHIs) are remotely sensed indices that summarize aboveground vegetation productivity in a way that is ecologically relevant for biodiversity assessments. Existing global DHIs, derived from MODIS at 1-km resolution, predict species richness at broad scales well, but that resolution is coarse relative to the grain at which many species perceive their habitat. With the much finer spatial resolution of Sentinel-2 and Landsat data, plus Landsat’s longer data record, it is possible to track potential changes of vegetation and its impacts on biodiversity at a finer grain over longer periods. Here, our main goals were to derive the DHIs from 10-m Sentinel-2, 30-m Landsat, and 250-m MODIS data for the conterminous US and compare all DHIs at two spatial extents, and to evaluate the ability of these DHIs to predict bird species richness in 25 National Ecological Observatory Network terrestrial sites. In addition, we derived the Landsat DHIs for 1991–2000 and investigated how they changed by 2011–2020. We found that the Sentinel-2, Landsat, and MODIS DHIs were highly correlated when summarized by ecoregion (Spearman correlation ranging from 0.89 to 0.99), indicating good agreement between them and that we were able to overcome the lower temporal resolution of Sentinel-2 and Landsat. Sentinel-2 and Landsat DHIs outperformed MODIS in modeling species richness for all bird guilds, explaining up to 49% of variance of grassland affiliates in linear regression models. Furthermore medium-resolution DHIs (10–30 m resolution) captured spatial heterogeneity much better than MODIS DHIs. We observed considerable changes in Landsat DHIs from 1991–2000 to 2011–2020, such as increased cumulative DHI along the West Coast, in mountain ranges, and in the South, but lower cumulative DHI in the Midwest. Our newly derived DHIs for the conterminous US have great potential for use in biodiversity science and conservation.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113367"},"PeriodicalIF":7.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143641739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An extensive assessment of exploitation indicators for multispecies fisheries in the South China Sea to inform more practical and precise management in China
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-17 DOI: 10.1016/j.ecolind.2025.113363
Kui Zhang , Li Su , Zuozhi Chen , Yongsong Qiu
China is the largest producer of marine capture fisheries globally. Overfishing since the 1970s has led to a decline in fishery resources in Chinese coastal waters. After China’s reform and opening up, a series of management measures were implemented to alleviate marine fishing pressure and conserve the fisheries resources. We conducted a comprehensive assessment for multispecies fisheries in the South China Sea (SCS) to explore whether fisheries management has been effective in recovery of the resources. Indicators of the exploitation status of major commercial fish species were assessed using statistical catch data and survey data simultaneously. The results reveal a significant shift in bottom-trawl fishery, with its share of the total catch transitioning from an upward to a currently downward trend. The species composition of bottom-trawl fisheries has undergone substantial changes in the SCS over six decades. Stock assessment results based on catch data indicated some positive signals, with small pelagic fishes, such as herrings, anchovies, mackerel and scad recovering from overfished/overfishing to a healthy status. However, the exploitation status of high-trophic-level fish species, such as conger pike and groupers, were still in overfished status. Assessment based on length data was less optimistic. Our uncertainty analysis showed that the catch-based model is less sensitive to parameters compared with the two length-based models considered here. We advocate for more practical and precise fisheries management in China, such as category/species-based management, further optimization and improvement of the fishing structure, development of a scientific quota-based system, ecosystem management that incorporates climate factors, and establishment of marine protected areas for fish species that are severely overfished or have high ecological value.
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引用次数: 0
Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-16 DOI: 10.1016/j.ecolind.2025.113352
Qi Yi , Shengfang Hou , Xiaodong Dou , Yuting Gao , Zhongbin Li , Yiyan Liu
The redistribution effect of the canopy precipitation interception is a critical component of the water cycle and water balance in basin ecosystem. However, traditional canopy interception models often fail to fully consider the reasonableness of model parameter values in practical applications. This study investigated the rainfall redistribution characteristics of three typical subtropical semi-humid evergreen broad-leaved forests in the Dianchi Basin of China. The model structure was improved by incorporating both canopy density and leaf area index (LAI) as indicators, and optimized the parameters using the Gauss-Newton algorithm, with appropriate threshold settings for absorption and additional interception. The results indicated that: (1) a power-function relationship exists between canopy interception and precipitation, which significantly influences precipitation redistribution. The interception rate for the three tree species ranged from 29.3% to 39.8%. (2) LAI and canopy closure are key factors influencing interception characteristics and should be included simultaneously in canopy interception model. (3) The Gaussian Newton’s algorithm effectively determines the optimal parameters of the forest canopy interception model under constraints. The refined model showed a good agreement with observed canopy interception for the three broad-leaved forests in the basin. These findings provide essential data for future studies on the role of forest canopy interception in watershed water cycles. The refined modelling approach minimizes deviations from natural processes when calibrating the model parameters, ensuring both scientific rigor and model accuracy. Furthermore, it offers valuable insights for parameter calibration in other hydrological and environmental models.
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引用次数: 0
Prolonged flooding alters forested wetland function 长期洪水改变森林湿地功能
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-15 DOI: 10.1016/j.ecolind.2025.113338
William Tomlinson, Jaybus Price, Jacob F. Berkowitz
Standing dead trees, or snags, and other vegetative structures contribute to the delivery of forested wetland ecosystem functions (i.e., things that wetland do). This study evaluated > 150-day flood induced changes in vegetation community structure and wetland functional capacity shifts in a > 30 year-old restored Mississippi Alluvial Valley wetland. Flooding significantly altered Hydrogeomorphic (HGM) wetland functional assessment variables (e.g., snag and tree density; ground vegetation cover; woody debris and log biomass), shifting forested wetland functional capacity indexes (FCIs). For example, few snags were present prior to the floods, and flooding increased mean snag density from 2.0 snags/ha to 105 snags/ha. Only 8 % of study locations exhibited snag densities observed in fully functional forests before the floods, which increased to 42 % post-flood. The remaining 58 % locations surpassed fully functional wetlands snag densities, and now contain excessive snags. Overall, changes in vegetation structures within the restored wetland augmented the delivery of ecological functions. The wetland FCIs for Nutrient Cycling, Carbon Export, Maintain Plant Communities, and Fish and Wildlife Habitat cumulatively increased by a mean value of 0.44 (range = −0.30–1.30; median = 0.44), representing a mean increase of 19 %. Results would differ in mature forests with natural snag distributions, where extensive flood-induced snags would likely decrease functional capacity. The restored wetlands functional trajectory will continue evolving in response to changes in log and woody debris distribution as snags decay, and forest succession occurs. Future floods extending into the growing season, when tree mortality risk increases, will further influence the delivery of wetland functions.
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引用次数: 0
A novel assessment framework for colored-water footprint inequality in China 中国有色水足迹不平等的新型评估框架
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-15 DOI: 10.1016/j.ecolind.2025.113350
Xiaoling Li , Yu Song
This study establishes a novel model capable of diagnosing the inequality of China’s colored-water footprint (CWF) allocation through a multi-dimensional perspective for the years 2012, 2015, and 2017. The results indicate the following: (1) The grey water footprint (WFgrey) exceeds both the blue water footprint (WFblue) and the green water footprint (WFgreen). Provinces with higher CWF values are primarily located in the central, eastern, and southern geographical regions of China. (2) Provinces with substantial CWF outflow are primarily those with high GDP or extensive agricultural production, such as Jiangsu, Guangdong, Shandong, Henan, Zhejiang, and Sichuan. The sectors contributing most to net CWF outflows are agriculture and industry. (3) Although the Gini coefficients for CWF and socio-economic factors all remain below the warning threshold of 0.4, the Imbalance indices deviate significantly from the absolute balance line in most provinces, except for the WFgreen-population. Additionally, the Gini coefficient of water stress index (WSI) (0.608 ∼ 0.703) is substantially higher than that of CWF (0.000 ∼ 0.327). (4) The CWF Primacy Index for all provinces is significantly below the ideal level, indicating a polycentric spatial structure for CWF distribution across China. These findings offer valuable scientific insights for informing equitable CWF distribution strategies.
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引用次数: 0
Video classification of hypoxic habitats and benthic communities in two productive freshwater embayments 两个富饶淡水河湾缺氧生境和底栖生物群落的视频分类
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-14 DOI: 10.1016/j.ecolind.2025.113286
Lyubov E. Burlakova , Alexander Y. Karatayev , Susan E. Daniel , Justin R. Meyer , Tomas O. Höök , Sarah Lawhun , Kelly L. Bowen , Warren J.S. Currie , Paris D. Collingsworth
Ongoing anthropogenic eutrophication and warming temperatures are expected to increase the extent and severity of hypoxia globally. Monitoring hypoxia has traditionally relied on costly surveys or sensor networks. While benthic macroinvertebrates are valuable indicators of hypoxia, community analysis is limited by small spatial scales of traditional grab sampling and labor-intensive processing. To address this, we combined benthic grab samples with underwater video to detect hypoxic habitats in two productive embayments of the Laurentian Great Lakes: Saginaw Bay, Lake Huron with periodic short-term hypoxia, and Hamilton Harbour, Lake Ontario with prolonged hypoxia. Using supervised classification, we identified significant grouping of in situ video data with cluster analysis, and then aligned video groups with environmental and biological datasets. These video groups were supported by cluster analysis of measured environmental variables, with clusters differing in duration of low near-bottom dissolved oxygen concentration and by depth. Independent cluster analysis confirmed significant separation of benthic communities among the selected video groups, with hypoxic habitats showing reduced species diversity and a higher proportion of tubificids. The gradient of conditions sampled in our study revealed assemblages of benthic invertebrates sensitive to and tolerant of hypoxia. The agreement among video, biological, and environmental data confirmed that video analysis can provide a novel, quick and reliable method to detect benthic habitats affected by hypoxia and determine their spatial extent once a baseline is established.
持续的人为富营养化和气温变暖预计将增加全球缺氧的范围和严重程度。缺氧监测历来依赖于昂贵的调查或传感器网络。虽然底栖大型无脊椎动物是缺氧的重要指标,但由于传统的抓取取样的空间尺度较小,且处理过程耗费大量人力,因此群落分析受到限制。为了解决这个问题,我们将底栖生物抓取样本与水下视频相结合,以检测劳伦森五大湖两个富饶湖湾的缺氧栖息地:休伦湖萨吉诺湾和安大略湖汉密尔顿港周期性短期缺氧,而安大略湖则长期缺氧。利用监督分类法,我们通过聚类分析确定了现场视频数据的重要分组,然后将视频分组与环境和生物数据集进行了比对。这些视频分组得到了测量环境变量聚类分析的支持,近底溶解氧浓度低的持续时间和深度不同,分组也不同。独立聚类分析证实,在选定的视频组中,底栖生物群落有明显的差异,缺氧生境的物种多样性较低,管栖动物的比例较高。我们研究中取样的梯度条件揭示了对缺氧敏感和耐受的底栖无脊椎动物群落。视频、生物和环境数据之间的一致性证实,视频分析可以提供一种新颖、快速和可靠的方法来检测受缺氧影响的底栖栖息地,并在确定基线后确定其空间范围。
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引用次数: 0
Analysis of heavy metal sources and potential ecological risk assessment of mangroves in Aojiang Estuary
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-14 DOI: 10.1016/j.ecolind.2025.113343
Yadong Ma , Yiyi Sun , Jing Wang , Yongtian Liu , Meirong Guo , Chengye Hu , Bonian Shui
Mangrove wetlands are facing increasing challenges from coastal human activity, and heavy metals are common toxic and non-degradable environmental pollutants that accumulate in living organisms. They can accumulate throughout the food chain and pose threats to human health and the ecology. Therefore, taking mangroves in the Aojiang Estuary, where human activity is frequent, this study used geoaccumulation index (Igeo) and potential ecological risk (RI) assessment to assess the degree of heavy metal pollution in mangrove sediments and used the positive matrix factorization (PMF) model to analyze the heavy metal sources. The geoaccumulation index indicated that the mean value of Hg fell within the range of uncontaminated to moderately contaminated, with a few sampling sites classified as moderately contaminated. Cd contamination was classified as moderate, whereas the contamination levels of the remaining elements were generally lower, either uncontaminated or uncontaminated-to-moderately contaminated. Notably, Cu reached its maximum value at the moderately contaminated level at one site. The results of the RI assessment were similar, with Cd pollution categorized as considerable, Hg pollution as moderate, and the remaining pollutant elements as low. The PMF model was used to analyze the four primary heavy metal sources. Hg enrichment is primarily from industrial sources represented by papermaking and printing, whereas Pb, Ni, Zn, and Cu enrichment is from integrated shipping transportation and traffic emission sources, and the low content of Zn, Ni, Co, and other elements indicates that it is a natural source. Cd enrichment is typically derived from agricultural sources driven by fertilizer usage and livestock manure.
{"title":"Analysis of heavy metal sources and potential ecological risk assessment of mangroves in Aojiang Estuary","authors":"Yadong Ma ,&nbsp;Yiyi Sun ,&nbsp;Jing Wang ,&nbsp;Yongtian Liu ,&nbsp;Meirong Guo ,&nbsp;Chengye Hu ,&nbsp;Bonian Shui","doi":"10.1016/j.ecolind.2025.113343","DOIUrl":"10.1016/j.ecolind.2025.113343","url":null,"abstract":"<div><div>Mangrove wetlands are facing increasing challenges from coastal human activity, and heavy metals are common toxic and non-degradable environmental pollutants that accumulate in living organisms. They can accumulate throughout the food chain and pose threats to human health and the ecology. Therefore, taking mangroves in the Aojiang Estuary, where human activity is frequent, this study used geoaccumulation index (<em>I<sub>geo</sub></em>) and potential ecological risk (<em>RI</em>) assessment to assess the degree of heavy metal pollution in mangrove sediments and used the positive matrix factorization (PMF) model to analyze the heavy metal sources. The geoaccumulation index indicated that the mean value of Hg fell within the range of uncontaminated to moderately contaminated, with a few sampling sites classified as moderately contaminated. Cd contamination was classified as moderate, whereas the contamination levels of the remaining elements were generally lower, either uncontaminated or uncontaminated-to-moderately contaminated. Notably, Cu reached its maximum value at the moderately contaminated level at one site. The results of the <em>RI</em> assessment were similar, with Cd pollution categorized as considerable, Hg pollution as moderate, and the remaining pollutant elements as low. The PMF model was used to analyze the four primary heavy metal sources. Hg enrichment is primarily from industrial sources represented by papermaking and printing, whereas Pb, Ni, Zn, and Cu enrichment is from integrated shipping transportation and traffic emission sources, and the low content of Zn, Ni, Co, and other elements indicates that it is a natural source. Cd enrichment is typically derived from agricultural sources driven by fertilizer usage and livestock manure.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113343"},"PeriodicalIF":7.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Productivity and tolerance reveal the shift from competition to facilitation among multiple species under multiple stressors
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113320
Shuhan Li , Man Qi , Haiying Lin , Qianzhao Sun , Wei Yang , Tao Sun
Interspecific competition and facilitation play essential roles in community structure and have been widely demonstrated between pairwise species. However, little is known about how interspecific interactions among multiple species shift between competition and facilitation under multiple stressors. Here, we developed a plant community dynamic model to investigate how the biomass of three dominant species (Ceratophyllum demersum, Hydrocharis dubia, and Phragmites australis) shifts across total nitrogen (TN) and water depth (WD) gradients, further clarifying the interspecific interactions among these three species compared to those observed between pairwise species. The results were as follows: (1) interspecific competition shifted to facilitation with increasing TN stress, mainly affecting the stress–intolerant species; (2) this shift under TN and WD stressors occurred at lower TN levels than those observed under a single TN stress, and the shift occurred at higher TN levels among the three species compared to those observed between pairwise species. We suggest that: (1) the shift from interspecific competition to facilitation primarily relies on the strong positive feedback effect that enhances low productivity under high stress; (2) the threshold for this shift is influenced by the acceleration or deceleration of productivity under high stress due to multiple stressors and species, respectively. Our study proposes adaptation mechanisms from the perspective of interspecific interactions among multiple species, which can be explained by the productivity and tolerance of these species under multiple environmental stressors. This research provides novel ideas and methodologies for gaining insight on the co-existence of multiple species and the stability of plant community systems.
{"title":"Productivity and tolerance reveal the shift from competition to facilitation among multiple species under multiple stressors","authors":"Shuhan Li ,&nbsp;Man Qi ,&nbsp;Haiying Lin ,&nbsp;Qianzhao Sun ,&nbsp;Wei Yang ,&nbsp;Tao Sun","doi":"10.1016/j.ecolind.2025.113320","DOIUrl":"10.1016/j.ecolind.2025.113320","url":null,"abstract":"<div><div>Interspecific competition and facilitation play essential roles in community structure and have been widely demonstrated between pairwise species. However, little is known about how interspecific interactions among multiple species shift between competition and facilitation under multiple stressors. Here, we developed a plant community dynamic model to investigate how the biomass of three dominant species (<em>Ceratophyllum demersum</em>, <em>Hydrocharis dubia</em>, and <em>Phragmites australis</em>) shifts across total nitrogen (<em>TN</em>) and water depth (<em>WD</em>) gradients, further clarifying the interspecific interactions among these three species compared to those observed between pairwise species. The results were as follows: (1) interspecific competition shifted to facilitation with increasing <em>TN</em> stress, mainly affecting the stress–intolerant species; (2) this shift under <em>TN</em> and <em>WD</em> stressors occurred at lower <em>TN</em> levels than those observed under a single <em>TN</em> stress, and the shift occurred at higher <em>TN</em> levels among the three species compared to those observed between pairwise species. We suggest that: (1) the shift from interspecific competition to facilitation primarily relies on the strong positive feedback effect that enhances low productivity under high stress; (2) the threshold for this shift is influenced by the acceleration or deceleration of productivity under high stress due to multiple stressors and species, respectively. Our study proposes adaptation mechanisms from the perspective of interspecific interactions among multiple species, which can be explained by the productivity and tolerance of these species under multiple environmental stressors. This research provides novel ideas and methodologies for gaining insight on the co-existence of multiple species and the stability of plant community systems.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113320"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Developing spatially comparable biodiversity indicators using objective scale-dependent species selection
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113327
Enya O’Reilly , Richard D. Gregory , Marc Anton , Lluís Brotons , Virginia Escandell , Anna Gamero , Sergi Herrando , Frédéric Jiguet , Johannes Kamp , Alena Klvaňová , Primož Kmecl , Ingar J. Øien , Jean-Yves Paquet , Jiří Reif , Eva Šilarová , Bård G. Stokke , Nicolas Strebel , Norbert Teufelbauer , Sven Trautmann , Thomas Vikstrøm , Simon J. Butler
Multi-species indices (MSIs) are an important tool for monitoring progress towards conservation policy targets from the local to the global scale. The choice of constituent species for habitat-specific indicators often reflects context-specific knowledge, policy needs and data availability. This makes direct comparisons of equivalent indicators across various locations challenging, and potentially reduces their representativeness if subsequently applied to other locations or spatial scales. In recognition of this, there is growing demand to develop standardised approaches to species selection that produce more spatially comparable MSIs. Using forest bird species in Europe, we use an objective, niche-based framework for indicator species selection to derive standardised indices at national, regional and pan-European scales, and explore the implications for species composition on indicator trends when adopting three alternative species-selection strategies: selecting species representative of a given spatial scale (“geographically-targeted”), disaggregating a species set representative of a broad-scale for use at smaller scales (“top-down”) and aggregating species lists representative of smaller scales for use at larger scales (“bottom-up”). We show that although the composition of indicator sets varied according to the species’ selection approach, resultant index trends for a given location were generally comparable. However, “geographically-targeted” indicators tended to be comprised of more specialist species and were more representative of the wider community. Whilst existing biodiversity indices provide critical insights into the state of nature across spatial scales, our study provides the basis for the development of complementary, standardised indicators that are spatially comparable.
{"title":"Developing spatially comparable biodiversity indicators using objective scale-dependent species selection","authors":"Enya O’Reilly ,&nbsp;Richard D. Gregory ,&nbsp;Marc Anton ,&nbsp;Lluís Brotons ,&nbsp;Virginia Escandell ,&nbsp;Anna Gamero ,&nbsp;Sergi Herrando ,&nbsp;Frédéric Jiguet ,&nbsp;Johannes Kamp ,&nbsp;Alena Klvaňová ,&nbsp;Primož Kmecl ,&nbsp;Ingar J. Øien ,&nbsp;Jean-Yves Paquet ,&nbsp;Jiří Reif ,&nbsp;Eva Šilarová ,&nbsp;Bård G. Stokke ,&nbsp;Nicolas Strebel ,&nbsp;Norbert Teufelbauer ,&nbsp;Sven Trautmann ,&nbsp;Thomas Vikstrøm ,&nbsp;Simon J. Butler","doi":"10.1016/j.ecolind.2025.113327","DOIUrl":"10.1016/j.ecolind.2025.113327","url":null,"abstract":"<div><div>Multi-species indices (MSIs) are an important tool for monitoring progress towards conservation policy targets from the local to the global scale. The choice of constituent species for habitat-specific indicators often reflects context-specific knowledge, policy needs and data availability. This makes direct comparisons of equivalent indicators across various locations challenging, and potentially reduces their representativeness if subsequently applied to other locations or spatial scales. In recognition of this, there is growing demand to develop standardised approaches to species selection that produce more spatially comparable MSIs. Using forest bird species in Europe, we use an objective, niche-based framework for indicator species selection to derive standardised indices at national, regional and pan-European scales, and explore the implications for species composition on indicator trends when adopting three alternative species-selection strategies: selecting species representative of a given spatial scale (“geographically-targeted”), disaggregating a species set representative of a broad-scale for use at smaller scales (“top-down”) and aggregating species lists representative of smaller scales for use at larger scales (“bottom-up”). We show that although the composition of indicator sets varied according to the species’ selection approach, resultant index trends for a given location were generally comparable. However, “geographically-targeted” indicators tended to be comprised of more specialist species and were more representative of the wider community. Whilst existing biodiversity indices provide critical insights into the state of nature across spatial scales, our study provides the basis for the development of complementary, standardised indicators that are spatially comparable.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113327"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Flatlining fens? Small-scale variations in peat properties and microtopography as indicators of ecosystem homogenisation 扁平化的沼泽?泥炭特性和微地形的小尺度变化是生态系统同质化的指标
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113317
Sate Ahmad , Miaorun Wang , Adam Bates , Francesco Martini , Shane Regan , Matthew Saunders , Haojie Liu , Jennifer McElwain , Laurence Gill
Fens, groundwater-fed mires, are important hotspots of biodiversity, carbon storage, and water regulation, but many have been degraded through drainage for agriculture, reducing their multifunctionality. Restoration efforts, particularly rewetting, are gaining attention in Europe, but understanding small-scale spatial processes driving ecosystem recovery remains limited. To explore spatial structure in soil properties and microtopography as indicators of ecosystem homogenisation, we collected ∼200 georeferenced soil samples from a near-natural alkaline fen and a degraded counterpart. Variogram analysis revealed distinct spatial structures in peat properties according to ecosystem status. The degraded fen exhibited longer autocorrelation ranges for soil organic matter (SOM), moisture, carbonate content, and surface microelevation, suggesting higher homogeneity compared to the near-natural fen. In addition, higher SOM was associated with higher surface microelevation and moisture content at both sites, highlighting the role of peat accumulation in shaping microtopography. The relationship between soil properties and microelevation showed stronger association and greater non-linearity in the near-intact fen compared to the degraded one. The variogram range appears to be a useful indicator of ecosystem status and homogeneity, providing valuable insights into the dynamics of fen degradation and restoration.
{"title":"Flatlining fens? Small-scale variations in peat properties and microtopography as indicators of ecosystem homogenisation","authors":"Sate Ahmad ,&nbsp;Miaorun Wang ,&nbsp;Adam Bates ,&nbsp;Francesco Martini ,&nbsp;Shane Regan ,&nbsp;Matthew Saunders ,&nbsp;Haojie Liu ,&nbsp;Jennifer McElwain ,&nbsp;Laurence Gill","doi":"10.1016/j.ecolind.2025.113317","DOIUrl":"10.1016/j.ecolind.2025.113317","url":null,"abstract":"<div><div>Fens, groundwater-fed mires, are important hotspots of biodiversity, carbon storage, and water regulation, but many have been degraded through drainage for agriculture, reducing their multifunctionality. Restoration efforts, particularly rewetting, are gaining attention in Europe, but understanding small-scale spatial processes driving ecosystem recovery remains limited. To explore spatial structure in soil properties and microtopography as indicators of ecosystem homogenisation, we collected ∼200 georeferenced soil samples from a near-natural alkaline fen and a degraded counterpart. Variogram analysis revealed distinct spatial structures in peat properties according to ecosystem status. The degraded fen exhibited longer autocorrelation ranges for soil organic matter (SOM), moisture, carbonate content, and surface microelevation, suggesting higher homogeneity compared to the near-natural fen. In addition, higher SOM was associated with higher surface microelevation and moisture content at both sites, highlighting the role of peat accumulation in shaping microtopography. The relationship between soil properties and microelevation showed stronger association and greater non-linearity in the near-intact fen compared to the degraded one. The variogram range appears to be a useful indicator of ecosystem status and homogeneity, providing valuable insights into the dynamics of fen degradation and restoration.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113317"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Ecological Indicators
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