Ecological Indicators最新文献_第6页

Tree diversity’s impact on coarse woody debris biomass and spatial stability under different moisture stress levels in temperate forests, South Korea

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113309

Hae-In Lee , Young-Ju Lee , Chang-Bae Lee

Coarse woody debris (CWD) contributes significantly to forest ecosystems, influencing their structure, function, and stability. Despite its importance, the drivers of CWD dynamics, particularly under different moisture conditions, remain unclear. In this study, we examined the influence of species richness (SR), functional dispersion (FDis), structural complexity, forest age (Fage), and climate moisture index (CMI) on CWD biomass (CWDB) and its spatial stability across temperate forests in South Korea. Our findings revealed that aboveground biomass (AGB), influenced by tree diversity facets and Fage, significantly affects CWDB. Higher species and structural diversity contributed to increased AGB, thereby affecting CWDB due to niche complementarity effects. SR and FDis directly impacted CWD dynamics, with effects varying according to CMI levels. High CMI conditions showed a positive association between SR and CWDB, while this relationship diminished under low CMI conditions, highlighting the modulating effect of climate moisture stress. Furthermore, we found that species and functional trait diversity play more crucial roles in maintaining spatial stability in CWD distribution at low CMI levels than at high CMI levels. Our study emphasizes the importance of considering species, functional diversity, and climate moisture conditions in forest management and conservation efforts, particularly under moisture stress gradients. Adaptive management strategies that account for CWDB and its spatial variability in different moisture regimes are essential for enhancing ecosystem sustainability, health, and resilience in response to climate change.

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引用次数: 0

Coevolution and its influencing factors of the water resources–economy–society–environment composite system in the Yellow River basin

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113304

Jiaqi Li , Bo Qu , Enhui Jiang , Lingang Hao , Chang Liu , Ying Liu , Yuhang Bian

Improving the coevolution level of the water resources–economy–society–environment (WESE) composite system is important for guaranteeing resource security, maintaining an ecological balance and realizing sustainable development. We constructed an index system consisting of water resources, economy, society and environmental subsystems in the Yellow River Basin (YRB). Based on the principle of synergism and the logic of the sequence parameters–subsystem–composite system, the Haken model was introduced to evaluate the coevolution level of the WESE composite system from 2009 to 2022. The geographic detectors was employed to identify the key influencing factors of WESE coevolution. It was revealed that (1) the coevolution level of the WESE composite system exhibited an overall upward trend, with the synergy scores increased from 0.48 to around 0.61. (2) The coevolution levels arranged from high to low are upstream, midstream, and downstream. There was a general uptrend of coevolution levels for all of the provinces, even though parts of them fluctuated strongly. (3) The factors influencing the coevolution level were mainly the water resources subsystem factors. Some targeted suggestions are proposed from the aspects of water resource endowment, water use efficiency, water use structure, and population pressure. These results provide important decision-making references for promoting the coordinated and sustainable development of the WESE composite system in the YRB.

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引用次数: 0

BBEST practices: Intentional efforts to identify elusive flow-ecology thresholds

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113311

Mark B. Lueders , Ryan A. McManamay , Diane Le Bouille , Kayla Garrett , Lydia Roush , Stephen Powers , David Young , Preston Bean , Kevin Mayes , Ryan Smith , Joseph F. Trungale

Developing and discerning flow-ecology relationships, particularly identifying the limits of hydrologic alterations on aquatic ecosystems, is critical for effective water resource management. In the absence of clear, empirically derived hydrologic alteration thresholds, alternative methods such as consensus and knowledge co-production, have been employed. One example is the BBEST (Basin and Bay Area Expert Science Team) program in Texas established with the explicit goal of identifying thresholds for river systems. In this study, we conducted a comprehensive review and meta-analysis of the standing scientific literature on flow-ecology relationships in Texas and neighboring geographies and compared that literature with reports from BBEST and the Texas Instream Flow Program (TIFP). We extracted all available flow-ecology values, including trend data, thresholds, before/after comparisons, and qualitative responses, yielding a total of ∼27,000 observations. Despite three times as many scientific literature sources, 85 % of flow-ecology observations were obtained from BBEST and TIFP reports. Of these observations, 83 % (∼19,000) were thresholds, whereas these types of observations were virtually absent in the scientific literature (< 100; ∼2 %). By reanalyzing flow-ecology trend observations from literature, we found repeated evidence of the presence of thresholds, all of which were from studies originally failing to report any such values. With the exception of high flow pulses, magnitude-related thresholds from BBEST and TIFP were not significantly different from hydrologic values in scientific literature where thresholds were undetected. These observations support the position that lack of thresholds could be due to elusivity rather than absence, and intentional interdisciplinary efforts may be a step forward in identifying flow thresholds.

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引用次数: 0

A novel dynamic flash flood early warning framework based on distributed hydrologic modeling

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113247

Yiru Chen , Nan Zhang , Xiaolei Zhang , Guangpeng Wang , Yun Wang , Ronghua Liu , Meihong Ma

Flash flood disaster prevention urgently requires high-precision hydrological models. However, extreme weather increases the uncertainty of flash flood risks, making it difficult for existing hydrological models to accurately simulate the flash flood processes. This study focuses on the Daxi River watershed in Guangdong Province. Based on verifying the applicability of the China Flash Flood Hydrological Modeling System (CNFF), the Manning formula is introduced to invert the calculation of the critical rainfall threshold for flash floods. The flash flood-inducing factors were then qualitatively analyzed using multiple indicators to determine their risk levels, thereby proposing a dynamic early warning framework for flash flood disasters. Results indicate that: 1) the CNFF demonstrated relatively high simulation accuracy, with the average Nash-Sutcliffe Efficiency (NSE) during the calibration and validation periods being 0.79 and 0.89, respectively; 2) dynamic rainfall warning indicators for 1-hour intervals were obtained under different soil moisture conditions. The warning, danger, and extreme danger flow rates were determined to be 176.3 m³/s, 308 m³/s, and 483.6 m³/s, respectively; 3) utilizing flood disaster risk assessment indicators, the risk distribution of flash floods has been evaluated, with the relatively high-risk areas, high-risk areas, and low-risk areas accounting for 31.1 %, 7.26 %, and 6.42 %, respectively; 4) the delay times for issuing warnings in different risk zones were determined, achieving dynamic early warning for flash flood disasters. The above research results will provide theoretical references for improving the flash flood defense methods.

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引用次数: 0

Grazing intensity estimation in temperate typical grasslands of Inner Mongolia using machine learning models

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113318

Jingru Su , Hong Wang , Dingsheng Luo , Yalei Yang , Shilong Ma , Penghui Wu , Xinyang Wang

Grasslands are essential components of terrestrial ecosystems and provide a broad range of biodiversity and ecosystem services for humans. Grasslands have been degraded to varying degrees owing to overgrazing. A scientific understanding of grazing intensity (GI) is essential for the continuous development of meadow ecosystems. This study aimed to estimate the GI of temperate typical grasslands in Inner Mongolia using machine learning algorithms. We used the extreme gradient boosting (XGBoost), random forest (RF), mogrifier long short term memory (MogLSTM), and batch attention module MogLSTM Kolmogorov–Arnold network (BMogLSTM-KAN) models improved by MogLSTM, modeled using field-measured GI and GI influencing factors. The GI impact factors included the aboveground biomass (AGB), normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), digital elevation model (DEM), slope, aspect, monthly mean temperature and precipitation, distance to river (DTR), and distance to settlement (DTS). The results indicated that all four machine learning algorithms performed effectively in estimating the steppe GI, with determination coefficients (R²) exceeding 0.84. The BMogLSTM-KAN model demonstrated the highest performance, with an R² of 0.93, and a root mean square error (RMSE) of 0.68, indicating its high accuracy and stability in estimating the steppe GI. In addition, the GI spatial distribution map revealed that the GI of temperate typical grasslands in Inner Mongolia was low in the northeast and high in the southwest. These results offer a significant reference for the scientific protection and sustainable management of temperate typical grasslands in Inner Mongolia.

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引用次数: 0

Effects of northern bobwhite habitat management on avian species of conservation concern

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113310

Johanna M. Ford , Anna M. Tucker , Adam K. Janke , Tyler M. Harms , Riggs O. Wilson

The umbrella species concept is often used as a tool to guide management decisions and focus efforts towards one focal species whose habitat needs overlap that of other species. We assessed this concept in the context of an agriculturally dominant landscape using one of the most well-studied avian species in North America as a target for conservation efforts: Northern Bobwhite (Colinus virginianus). This species is often viewed as an umbrella species for grassland and shrubland bird conservation throughout its native range due to its complex, year-round habitat requirements. We assessed the influence of Northern Bobwhite habitat management on six songbird species of conservation concern in Iowa by evaluating similarities and differences in habitat associations between each species. Our objectives were to (1) assess which vegetation characteristics were most strongly associated with Northern Bobwhite occupancy and (2) evaluate whether those characteristics were also associated with abundance of the focal songbird species. We used occupancy and N-mixture models to assess relationships between vegetation characteristics and Northern Bobwhite occupancy and songbird abundance, respectively. We found that the vegetation characteristics most strongly associated with Northern Bobwhite occupancy probability were the amounts of closed canopy forest, early successional woody vegetation, non-vegetated areas, and percent cover of bare ground. We found that for some of these covariates, including the amounts of forest and non-vegetated area, the effect on focal songbird species abundance aligned with Northern Bobwhite occupancy. For others, including the amount of early successional woody vegetation, the effects differed. This assessment of overlap and variability in habitat associations suggests that Northern Bobwhite-targeted management can provide benefits to other grassland and shrubland birds, but may also come with some trade-offs. This work adds to existing literature, further highlighting the nuances of the umbrella species concept in that land management benefits from the assessment of trade-offs and inclusion of local community dynamics.

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引用次数: 0

Spatial pattern and driving mechanisms of dryland landscape ecological risk: Insights from an integrated geographic detector and machine learning model

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113305

Ayiturxun Shamuxi , Bo Han , Xiaobin Jin , Paruke Wusimanjiang , Abudureheman Abudukerimu , Qianli Chen , Hongtao Zhou , Min Gong

Drylands are among the most vulnerable and sensitive regions to global climate and land use changes. As one of the largest inland arid river basins, the Tarim River Basin exhibits diverse land use patterns that have exacerbated ecological risks, degraded the environment, and heightened ecosystem vulnerability. This study analyzed the spatiotemporal evolution of landscape ecological risks in the basin from 1990 to 2020 using a landscape ecological risk model. A novel combination of the geographic detector and machine learning was employed to identify the nonlinear driving mechanisms of ecological risk. Key findings include: (1) Unused land dominated the basin, with land use showing “three increases and three decreases” trends: increases in cropland, construction land, and unused land, and decreases in grassland, water bodies, and forested areas. (2) High-risk areas were predominant, increasing by 2.31%, while low- and medium-risk areas declined by 0.60% and 1.49%, respectively. (3) Ecological risks transitioned from dispersed to aggregated patterns, with significant clustering of high- and low-risk zones. (4) Elevation, NDVI, and distance to urban centers were key drivers in single-factor analyses, while dual-factor interactions, particularly involving NDVI, consistently enhanced risk. These findings elucidate the spatiotemporal dynamics of land use and ecological risks, offering insights for ecological management and sustainable development.

{"title":"Spatial pattern and driving mechanisms of dryland landscape ecological risk: Insights from an integrated geographic detector and machine learning model","authors":"Ayiturxun Shamuxi , Bo Han , Xiaobin Jin , Paruke Wusimanjiang , Abudureheman Abudukerimu , Qianli Chen , Hongtao Zhou , Min Gong","doi":"10.1016/j.ecolind.2025.113305","DOIUrl":"10.1016/j.ecolind.2025.113305","url":null,"abstract":"<div><div>Drylands are among the most vulnerable and sensitive regions to global climate and land use changes. As one of the largest inland arid river basins, the Tarim River Basin exhibits diverse land use patterns that have exacerbated ecological risks, degraded the environment, and heightened ecosystem vulnerability. This study analyzed the spatiotemporal evolution of landscape ecological risks in the basin from 1990 to 2020 using a landscape ecological risk model. A novel combination of the geographic detector and machine learning was employed to identify the nonlinear driving mechanisms of ecological risk. Key findings include: (1) Unused land dominated the basin, with land use showing “three increases and three decreases” trends: increases in cropland, construction land, and unused land, and decreases in grassland, water bodies, and forested areas. (2) High-risk areas were predominant, increasing by 2.31%, while low- and medium-risk areas declined by 0.60% and 1.49%, respectively. (3) Ecological risks transitioned from dispersed to aggregated patterns, with significant clustering of high- and low-risk zones. (4) Elevation, NDVI, and distance to urban centers were key drivers in single-factor analyses, while dual-factor interactions, particularly involving NDVI, consistently enhanced risk. These findings elucidate the spatiotemporal dynamics of land use and ecological risks, offering insights for ecological management and sustainable development.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113305"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611063","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

Identifying trade-offs and synergies among land use functions using an XGBoost-SHAP model: A case study of Kunming, China 利用 XGBoost-SHAP 模型识别土地利用功能之间的权衡与协同作用：中国昆明案例研究

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113330

Kun Li , Junsan Zhao , Yongping Li , Yilin Lin

Exploring the spatial non-stationarity and driving mechanisms of trade-offs/synergies among land use functions(LUFs), which are crucial for effectively alleviating human-land conflicts and enhancing the overall benefits and sustainable development of regional territorial space. While most existing studies have analyzed the spatio-temporal patterns and influencing factors of LUF trade-offs/synergies from a macro scale, these studies often fail to accurately capture the multivariate interactions and complex nonlinear relationships of the geographical system within the man-earth areal system. The study area is the Kunming city on the Yunnan-Guizhou Plateau, where rapid urbanization is occurring. First, geographic weighted regression (GWR) and constrained line methods were applied at the grid unit to examine the spatial heterogeneity and nonlinear characteristics of LUF trade-offs/synergies. Then, an interpretable machine learning model (XGBoost-SHAP) was utilized to provide an intuitive explanation of the nonlinear response mechanism of LUF trade-offs/synergies. Finally, a self-organizing feature mapping network (SOM) was developed to identify LUF clusters. The findings are summarized as follows. (1) From 2000 to 2020, significant spatial heterogeneity was observed in LUF trade-offs/synergies. The interaction between ecological function (EF) and production function (PF), as well as between living function (LF) and PF, showed a convex function relationship with evident boundary effects. The interaction between EF and LF displayed a concave trade-off. (2) Elevation, slope, precipitation, distance to the city center, distance to the county center, distance to the county road, distance to river, and land use degree were the dominant factors influencing LUF trade-offs/synergies in Kunming. (3) The process of the dominant factors affects on the LUF trade-offs/synergies demonstrated strong nonlinear characteristics, and there was a significant threshold effect. (4) Based on five identified LUF clusters and the distribution of trade-offs/synergies within these clusters, differentiated LUF management measures are proposed. These results are helpful in understanding the internal mechanism of LUF system and provide technical support for the multifunctional land development, rational utilization and scientific management of land resources.

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引用次数: 0

Exploring the impact of urban morphology on river cooling effects: A case study of the Arakawa river in Tokyo

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113288

Liang Zhang , Hasi Bagan , Chaomin Chen , Takahiro Yoshida

The impact of water bodies on mitigating temperature has gained growing attention due to the worsening urban heat island (UHI) phenomenon and efforts to develop mitigation strategies. However, most studies ignore the influence of the internal structure of the city on the cooling effect of the river. This research explores how urban morphology interacts with river cooling effects, centering on a 2000-meter buffer zone surrounding the Arakawa River in Tokyo. Through random forest regression models and correlation analysis, we quantified the impact of nine urban morphological features on Land Surface Temperature (LST) and their interaction with the river’s cooling effect. The findings reveal that high building density and large-volume structures near the river significantly obstruct air circulation, diminishing the river’s cooling efficiency and leading to heat accumulation. However, optimizing building heights and layouts—particularly through slender structures and reducing cluster density—can enhance air movement, thereby extending the river’s cooling effect. Additionally, increasing the diversity of green spaces not only strengthens cooling effects through evaporation but also generates multi-layered synergies in distant areas and on road surfaces, further supporting urban heat mitigation strategies. These insights offer valuable guidance for mitigating heat in riverine urban environments and provide recommendations for climate conscious urban planning focused on building form, green space distribution, and river integration.

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引用次数: 0

Spatial correlation network of Chinese-style ecological modernization and its influencing factors

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113297

Huiping Wang, Yuezhan Huang

This paper constructs an evaluation index system of Chinese-style ecological modernization (CSEM) based on the idea of “six-in-one”, and measures the CSEM of 30 provinces in China from 2011 to 2021 by using entropy value method. The improved gravity model, social network analysis and QAP regression model are used to study the characteristics of the spatial correlation network of CSEM and its influencing factors. The study finds that: First, the CSEM demonstrates a consistent upward trajectory, yet there exists a notable spatial disparity, with the eastern region exhibiting higher CSEM compared to other regions. Second, the inter-provincial connection of CSEM has exhibited a network structure, albeit it has not attained the optimal state of spatial correlation yet. The network density remains low, and the spatial spillover effect demonstrates a west-to-east trend, where the western region has emerged as the “spillover highland”. Meanwhile, Beijing, Shanghai, Jiangsu, and Zhejiang occupy a central and dominant position within the network. Third, the network can be divided into several factions based on subordination, with obvious geographical proximity pointing between provinces, in which subgroup III was initially composed of six provinces, including Guangdong, and shrunk to Guangdong, Guangxi and Hainan after 2017, while Sichuan, Chongqing and Guizhou formed the new subgroup IV, demonstrating the dynamic characteristics of the subordination network over time. Fourth, the spatial network of CSEM is segmented into four blocks: net benefit, net spillover, two-way spillover and broker. The role division and linkage effect between the four blocks is obvious. Fifth, differences in the urbanization, geographical proximity, economic development, technological innovation and industrial advancement all contribute positively to the development of the network, while differences in resource consumption inhibit the formation of network.

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引用次数: 0