Rangeland Ecology & Management最新文献

{"title":"Pyric Herbivory With Multiple Livestock Species: Similarities in Selection Between Cattle and Goats","authors":"Alexander G. Barnes ,&nbsp;Laura E. Goodman ,&nbsp;Barney Luttbeg ,&nbsp;Bryan D. Murray ,&nbsp;Samuel D. Fuhlendorf","doi":"10.1016/j.rama.2025.07.002","DOIUrl":"10.1016/j.rama.2025.07.002","url":null,"abstract":"<div><div>Pyric herbivory, the interaction between fire and grazing, is an ecological process in rangeland ecosystems. While cattle selection of burned patches is documented, the effects of a second herbivore species, like goats, remain unclear. This study examined patch selection patterns of cattle and goats when provided with both burned or unburned areas with patches varying in time since fire (TSF) and burn season. We hypothesized that both livestock species would select for recently burned patches, with cattle selection being more season-dependent than goats. We also hypothesized that the proportion of time allocated to the most recently burned patches would not significantly differ between livestock species. We compared TSF across burn seasons and quantified patch selection using Ivlev’s electivity index. Our results showed that both livestock species selected for recently burned patches, with selection decreasing as TSF increased. For cattle, patch selection was influenced by TSF and burn season. Goat patch selection was also related to TSF, but showed more variability in response to burn season and TSF duration. In dormant season burns, both livestock species selected for the most recently burned patches, while selection following growing season burns peaked at 6–11 months TSF. The observed patterns suggest that including goats in cattle operations that use pyric herbivory will not alter overall preference for burned areas.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 193-197"},"PeriodicalIF":2.4,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pollination Needs and Diverse Bees of a Prospective Fuelbreak Wildflower, Curlycup Gumweed (Grindelia squarrosa)(Asteraceae)","authors":"James H. Cane ,&nbsp;Byron G. Love ,&nbsp;Skyler Burrows ,&nbsp;Alexander Fortin ,&nbsp;Kelsey K. Graham","doi":"10.1016/j.rama.2025.06.016","DOIUrl":"10.1016/j.rama.2025.06.016","url":null,"abstract":"<div><div>The arid sagebrush steppe of the US Intermountain West is prone to immense and costly wildfires. To disrupt the continuity of flammable vegetation, regional public land managers have begun clearing linear fuelbreaks that are currently seeded to a wind-pollinated Asian forb, forage kochia<em>.</em> A native fire-resistant alternative, <em>Grindelia squarrosa</em>, merits seeding with kochia. It readily colonizes disturbed sites and offers a profusion of late-season flowers to native bees. Field experiments showed that bee visitation is essential for its pollination. Compared with geitonogamous selfing, outcrossing yielded fourfold more filled achenes that were twice as likely to germinate. Collectively, our 15 regional surveys of bees foraging at <em>G. squarrosa</em> flowers were diverse (23 bee genera from five families) and all native, but for honeybees. Most of these species and three-fourths of their surveyed individuals nest below ground, where their progeny are safe from the surface heat of fire. Because <em>G. squarrosa</em> is a biennial, annual pollination by wild bees will be needed to assure ample seed to perpetuate populations sown in fuelbreaks of the US sagebrush steppe. In turn, <em>G. squarrosa</em> offers both pollen and nectar over many weeks that native bees avidly collect and cache for their progeny, as well as feeding future queens of resident social species.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 186-192"},"PeriodicalIF":2.4,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144722578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Cattle Grazing on Food Web Dynamics: Meso-predators and Rodents in a Sagebrush Ecosystem","authors":"Vanessa M. Schroeder ,&nbsp;Dustin D. Johnson ,&nbsp;W. Douglas Robinson ,&nbsp;David W. Bohnert ,&nbsp;Jonathan B. Dinkins","doi":"10.1016/j.rama.2025.06.007","DOIUrl":"10.1016/j.rama.2025.06.007","url":null,"abstract":"<div><div>We used a network of motion-sensitive cameras and weekly transect surveys during a replicated cattle grazing experiment to assess the influence of dormant season grazing, spring-summer rotational grazing, and grazing exclusion on the activity of rodent, meso-mammalian, lagomorph and reptilian species in southeast Oregon, USA, from 2018–2021. Activity of chipmunks (<em>Neotamias</em> spp.) and mice (subfamily <em>Neotominae</em>), was lower in moderate intensity rotationally grazed pastures compared to nongrazed pastures. When considering differences with respect to rotation (spring or summer) or cattle presence, we found evidence for reduced activity of most rodents (including chipmunks, ground squirrels [<em>Urocitellus</em> spp.], kangaroo rats [family <em>Heteromyidae</em>], and mice), with the largest reductions during summer grazing. We did not observe a direct effect of grazing on meso-predators, including American badgers (<em>Taxidea taxus</em>), and coyotes (<em>Canis latrans</em>). Perennial forb cover was associated with increased ground squirrel activity and coyote and badger occupancy, suggesting indirect effects stemming from vegetation food resources. Our results suggest grazing influences the activity and occupancy of many species within the sagebrush ecosystem food web, which has implications for several species of management concern. As the sagebrush ecosystem continues to shrink, managers should consider the influences of grazing management on the dynamics of species interactions, including predator-prey relationships.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 172-185"},"PeriodicalIF":2.4,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring and Prediction of Land Use and Land Cover Using Remote Sensing and CA-ANN","authors":"Frank Juma Ong’ondo ,&nbsp;Shrinidhi Ambinakudige ,&nbsp;Philista Adhiambo Malaki ,&nbsp;Hafez Ahmad ,&nbsp;Qingmin Meng ,&nbsp;Domnic Kiprono Chesire ,&nbsp;Kuria Anthony ,&nbsp;Yahia Said","doi":"10.1016/j.rama.2025.06.015","DOIUrl":"10.1016/j.rama.2025.06.015","url":null,"abstract":"<div><div>Human-driven land cover change poses a significant challenge to the sustainability of protected areas worldwide. Monitoring these dynamics and projecting future trends is crucial for effective conservation strategies. This study uses Nairobi National Park and its surrounding areas in Kenya as a case study to assess land cover change from 2016 to 2023 and project trends through 2040. We applied Geographic Information Systems (GIS) and remote sensing techniques, using Landsat imagery classified with the Random Forest (RF) algorithm in Google Earth Engine (GEE), to map land cover across eight classes. We projected future changes using a cellular automata–artificial neural network model, achieving 84.4% accuracy. Results revealed significant increases in built-up areas and agricultural land, accompanied by declines in forest, shrubland, woodland, water bodies, and bare soil. Projections indicate continued urban expansion and woodland growth, while agricultural land, bare soil, water bodies, and forests will decrease sharply. These findings highlight the urgent need for integrated land use planning and proactive conservation policies to manage rapid urban growth while preserving the ecological functions of protected areas and their surrounding landscapes.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 160-171"},"PeriodicalIF":2.4,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of Overhead Vegetation and Economic impact on Nest Success of Ground-Nesting Birds in Chinese Grasslands: A Case Study From Inner Mongolia","authors":"Hongtao Liu","doi":"10.1016/j.rama.2025.06.013","DOIUrl":"10.1016/j.rama.2025.06.013","url":null,"abstract":"<div><div>China’s semi-arid grasslands, particularly in Inner Mongolia, are undergoing rapid ecological changes due to overgrazing, agricultural expansion, and land degradation—threatening the reproductive success of native ground-nesting birds. This study investigates how overhead vegetation structure influences nest site selection and survival of the Mongolian Lark (Melanocorypha mongolica) and examines the broader economic implications of habitat degradation on avian reproductive success. Across 4 breeding seasons (2018–2022), 147 nests were monitored, revealing a 73% failure rate—predation being the primary cause. Using logistic regression and habitat modeling, results showed that denser overhead vegetation significantly improved daily nest survival rates, highlighting its protective role against aerial predators and microclimatic stress. Birds showed a clear preference for structurally complex, shrubby grasslands with tall clumps and high upper visual obstruction, while edges and perches had minimal influence on site selection. These findings underscore the ecological value of maintaining vegetation heterogeneity and suggest that preserving or restoring such features has cost-effective benefits for avian biodiversity. Economically, the conservation of structurally intact grasslands could reduce the need for costly species protection programs by enhancing natural nest survival. Therefore, habitat management strategies that promote tall, overhead vegetation in grasslands represent not only an ecological priority but also a sustainable investment in biodiversity conservation.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 145-152"},"PeriodicalIF":2.4,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144686124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risks and Rewards of Pre-emergent Herbicide (Indaziflam) to Defend Core Sagebrush-Steppe Ecosystems Under Suboptimal Precipitation","authors":"Brynne E. Lazarus,&nbsp;Matthew J. Germino","doi":"10.1016/j.rama.2025.06.006","DOIUrl":"10.1016/j.rama.2025.06.006","url":null,"abstract":"<div><div>Protection of intact habitat from the spread of invasive plants is a global priority, especially where invaders alter wildfire occurrence. Invasion of perennial sagebrush-steppe ecosystems by cheatgrass and other fire-promoting exotic annual grasses (EAGs) is one of the most notorious examples of this problem. Protection and expansion of the remaining intact “core” sagebrush areas are key management goals, and whether this can be accomplished by temporarily inhibiting annual plant populations with pre-emergent herbicides is a key question. We applied indaziflam in fall 2019 to replicate plots within two sagebrush-steppe sites in the Northern Great Basin, USA: 1) a relatively intact, uninvaded, unburned “core” site and 2) a partially invaded site that burned in the 2015 Soda Wildfire. Vegetation cover, density, and growth responses of native perennials were measured annually to 2024. We asked whether our treatments “defended” and “grew” core sagebrush areas. EAG cover remained &lt;15% in indaziflam-treated plots while increasing to &gt;30% in control plots by the fifth year after treatment at the unburned site but did not differ with treatment at the burned site. Native perennial grasses, forbs, and big sagebrush cover and growth did not differ with indaziflam treatment at either site. Moss cover was temporarily lower in indaziflam-treated plots at the unburned site, and cover of a native annual forb was significantly lower in indaziflam-treated plots throughout the study across both sites. Despite posttreatment drought and apparent patchiness in treatment implementation, our treatments “defended the core” by preventing crossing of the 20% EAG invasion threshold in the unburned site but not did not “grow the core.” Our results provide an example of a case in which proactive protection may be easier to accomplish than reactive restoration. Herbicide treatment effects may be sensitive to weather and application details. Implementation monitoring could help explain variability and improve success.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 153-159"},"PeriodicalIF":2.4,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deeper Seeding Allows Bunchgrass Establishment While the Pre-emergent Herbicide Indaziflam Controls Invasive Annual Grasses","authors":"Kirk W. Davies ,&nbsp;Danielle R. Clenet ,&nbsp;Peter J. Olsoy ,&nbsp;Chad S. Boyd ,&nbsp;Stella M. Copeland ,&nbsp;Erik P. Hamerlynck ,&nbsp;Rory C. O’Connor ,&nbsp;Jon D. Bates","doi":"10.1016/j.rama.2025.06.009","DOIUrl":"10.1016/j.rama.2025.06.009","url":null,"abstract":"<div><div>Restoration of annual grass-invaded rangelands is often a management priority. Pre-emergent herbicides are an effective restoration tool to reduce annual grasses but can negatively impact seeded vegetation. Hence, seeding is often delayed until herbicide activity has abated. With indaziflam, a pre-emergent with longer soil activity, seeding may need to be delayed for several years. It would be advantageous if seeded species could establish while indaziflam controls annual grasses, as competition with annual grasses would be limited, and forage production and vegetation cover of the soil surface would recover sooner. Seeding deeper in the soil may allow seeded species to largely avoid herbicide activity, but seeded species may struggle to emerge from greater seeding depths. We investigated seeding squirreltail and crested wheatgrass at 1-, 3-, 5-, and 7-cm seeding depths just prior to a fall indaziflam application at two sites in 2 yr. Seeding at ∼1-cm is the recommended practice for both bunchgrasses. Seedling density in late June was greater at the 3 and 5 cm seeding depths and likely greater at the 7 cm depths than at the 1-cm depth. Seedling height was greater at the 3-, 5-, and 7-cm depths than at the 1-cm depth. Seedling density and height did not vary among the 3-, 5-, and 7-cm depths. This suggests that indaziflam largely did not penetrate below the first centimeter or two of the soil the growing season after application. Seeding at depths of 3–7 cm is likely a viable strategy for allowing some seeded species to establish while indaziflam controls annual grasses. Additional evaluations across a gradient of soil and site characteristics, with different plant species and functional groups, and other pre-emergent herbicides are needed to refine this restoration strategy and identify its benefits and limitations.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 139-144"},"PeriodicalIF":2.4,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping and Modeling Aboveground Biomass Dynamics in Savanna Grasslands Southern Ethiopia","authors":"Yeneayehu Fenetahun ,&nbsp;Wang Yongdong ,&nbsp;You Yuan ,&nbsp;Ogbue Chukwuka ,&nbsp;Yahaya Ibrahim ,&nbsp;Xu Xinwen","doi":"10.1016/j.rama.2025.06.001","DOIUrl":"10.1016/j.rama.2025.06.001","url":null,"abstract":"<div><div>Understanding the dynamics of aboveground biomass in savanna grasslands is essential for effective land management and conservation, particularly in regions like Southern Ethiopia, where these ecosystems are widespread. This research introduces a prototype model that integrates field measurements and remote sensing data to monitor biomass dynamics more accurately. The model provides a strong framework for precisely tracking biomass fluctuations and comprehending the processes impacting these dynamics in savanna grasslands by combining both field and remote sensing data. The model demonstrated strong correlations between predicted and observed biomass: R² = 0.71 during the rainy season, R² = 0.63 during the dry season, and R² = 0.83 for annual averages. Consequently, our data show regions with high biomass productivity as well as those that are vulnerable to degradation and offer insightful information about the spatial patterns of biomass distribution. The findings present a reliable tool for monitoring aboveground biomass changes in savanna grasslands, supporting informed land management and conservation efforts. Additionally, the model's adaptability to similar ecosystems can enhance our understanding of global savanna dynamics and promote sustainable land management practices.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 128-138"},"PeriodicalIF":2.4,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Groundwater Quality Assessment for Rangeland Dynamic: Integration of Multicriteria Decision Analysis with Remote Sensing Data","authors":"Pingheng Li ,&nbsp;Iram Naz ,&nbsp;Rana Waqar Aslam ,&nbsp;Muhammad Azeem Liaquat ,&nbsp;Yahia Said","doi":"10.1016/j.rama.2025.06.010","DOIUrl":"10.1016/j.rama.2025.06.010","url":null,"abstract":"<div><div>This study assessed the relationship between groundwater quality degradation and rangeland dynamics from 2008 to 2020, using integrated remote sensing and multicriteria decision analysis. We developed a framework combining satellite-derived parameters (NDVI, NDWI, rangeland classification via Random Forest) with ground-based water quality measurements (180 locations). Groundwater Quality Index (GWQI) was calculated using both conventional Analytic Hierarchy Process (AHP) and Fuzzy AHP weighting methods. Spatial-temporal trends were analyzed, and correlations between rangeland loss, groundwater depth, and GWQI were quantified using regression analysis. Fuzzy AHP produced more conservative GWQI estimates than AHP, with the difference increasing from 4.3% (2008) to 5.8% (2020). Rangeland area decreased significantly by 442.8 km² (33.4%), with the most severe loss (−450.9 km²) occurring between 2012 and 2016. Strong negative correlations existed between rangeland loss and groundwater quality (<em>r</em> = −0.71, <em>P</em> &lt; 0.001) and between NDWI and groundwater depth (<em>r</em> = −0.81). Groundwater depth increased by an average of 23.7 m (2008–2020), accelerating from 1.35 m/year (2008–2012) to 2.46 m/year (2016–2020). Multiple regression indicated a 10% rangeland decrease corresponded to an 18.3-point GWQI increase and a 2.4 m depth increase. NDWI preceded groundwater quality changes and showed stronger correlations than NDVI. The integrated framework demonstrates a crucial link between rangeland preservation and groundwater sustainability. Significant rangeland loss correlates strongly with declining groundwater quality and increasing depth, highlighting the environmental impact of land cover change. This approach provides valuable insights for sustainable water resource and rangeland management in rapidly urbanizing regions.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 110-127"},"PeriodicalIF":2.4,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144623661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning-Based Forest Fire Susceptibility Mapping Using Random Forest and CART Models","authors":"Riaz Sheriff ,&nbsp;Mohammad Suhail Meer ,&nbsp;Rana Waqar Aslam ,&nbsp;Yahia Said","doi":"10.1016/j.rama.2025.06.004","DOIUrl":"10.1016/j.rama.2025.06.004","url":null,"abstract":"<div><div>Forest fires critically threaten biodiversity and ecological stability, particularly in vulnerable regions in the dry and hot region. Despite the growing application of machine learning (ML) in fire susceptibility mapping, research gaps persist in biodiversity-rich regions and the integration of long-term climate data. This study addresses these gaps by developing forest fire susceptibility (FFS) maps using Random Forest (RF) and Classification and Regression Tree (CART) models, integrated with environmental variables derived from Google Earth Engine (GEE). The objectives were to (1) analyze spatiotemporal fire patterns (2001–2024) using MODIS FIRMS data, (2) evaluate topographic, climatic, and vegetation variables, and (3) compare model performance for fire risk zoning. Fire occurrence data and 14 environmental predictors (e.g., elevation, NDVI, precipitation, LST) were analyzed. The Boruta algorithm identified elevation, SAVI, NDVI, and precipitation as key drivers. The RF model demonstrated superior accuracy (77.54%, AUC: 0.802) compared to CART (76.08%, AUC: 0.706), with spatial mapping revealing divergent risk patterns: RF classified 40.21% and 47.14% of the reserve as moderate and high-risk zones, whereas CART polarized 91% of the area into low (47.9%) and very high (43.32%) risk categories. The RF model’s nuanced classification underscores its robustness in capturing environmental interactions, making it ideal for targeted fire management. This study provides a scalable framework for integrating ML and remote sensing in fire risk assessment, aiding policymakers in prioritizing mitigation efforts in biodiversity hotspots. By addressing the gap in region-specific ML applications and emphasizing climate-inclusive variables, our findings advance ecological conservation strategies in fire-prone ecosystems.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"102 ","pages":"Pages 96-109"},"PeriodicalIF":2.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}