Ecological Complexity最新文献

Are root functional traits good predictors of wetland plant diversity and biomass under agricultural managements in a semi-arid region? 根系功能性状是半干旱区农业管理下湿地植物多样性和生物量的良好预测指标吗？

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-11-21 DOI: 10.1016/j.ecocom.2025.101147

Mai Lv , Yifan Li , Mingye Zhang , Yu An , Shouzheng Tong , Haitao Wu

Wetland conversion to agricultural use is widespread globally, particularly in semi-arid regions. As key indicators of wetland responses to global change, plant diversity and biomass are fundamentally influenced by management practices and plant functional strategies. While existing research has largely focused on aboveground traits, the role of root functional traits in mediating plant diversity and biomass remains poorly understood. This study investigated the predictive value of root functional traits for plant species diversity and biomass across a range of agriculturally managed wetlands in the Songnen Plain of semi-arid China. The management practices included natural wetlands (NW), moderately grazed wetlands (MG), mowed and grazed wetlands (MSG), mowed wetlands (TM), and heavily grazed wetlands (HG). The results demonstrated NW exhibiting the highest biomass but lowest diversity, whereas HG sites displayed the opposite pattern. Root traits also varied significantly across wetland sites. Stepwise regression analysis revealed that root phosphorus content (RPC), root carbon-to-phosphorus ratio (RCPR), and root length (RL) were key predictors of diversity (R² = 0.957), while root carbon content (RCC) and specific root area (SRA) are robust predictors of biomass (R² = 0.762). The partial least squares structural equation model (PLS-SEM) further elucidated two primary pathways by which root functional traits influence diversity and biomass: (1) a direct effect of morphological traits (RL) exerted on diversity, and (2) an indirect effect of morphological traits (SRA, RL) on both diversity and biomass via modulation of root nutrient acquisition traits (RCC, RPC, RCPR). Notably, trade-offs between RL and RPC, together with synergies between SRA and RPC, were associated with reduced diversity but increased biomass. In contrast, synergies between RL and RCC and trade-offs between SRA and RCC exerted negative effects on biomass. In conclusion, integrated root trait combinations and their interactions serve as robust predictors of plant diversity and biomass in agriculturally managed wetlands. These findings advance the theoretical framework for understanding wetland ecological dynamics and provide valuable insights for sustainable resource management in semi-arid regions.

湿地向农业用途的转变在全球范围内普遍存在，特别是在半干旱地区。作为湿地对全球变化响应的关键指标，植物多样性和生物量从根本上受到管理实践和植物功能策略的影响。虽然现有的研究主要集中在地上性状，但对根系功能性状在植物多样性和生物量中的调节作用知之甚少。研究了松嫩平原不同农业管理湿地根系功能性状对植物物种多样性和生物量的预测价值。管理方式包括自然湿地（NW）、中度放牧湿地（MG）、刈割和放牧湿地（MSG）、刈割湿地（TM）和重度放牧湿地（HG）。结果表明，西北地区生物量最高，多样性最低，而HG则相反。不同湿地的根系性状也存在显著差异。逐步回归分析表明，根磷含量（RPC）、根碳磷比（RCPR）和根长（RL）是多样性的关键预测因子（R²= 0.957），而根碳含量（RCC）和比根面积（SRA）是生物量的可靠预测因子（R²= 0.762）。偏最小二乘结构方程模型（PLS-SEM）进一步阐明了根系功能性状影响多样性和生物量的两种主要途径：(1)形态性状（RL）对多样性的直接影响；(2)形态性状（SRA、RL）通过调控根系养分获取性状（RCC、RPC、RCPR）对多样性和生物量的间接影响。值得注意的是，RL和RPC之间的权衡，以及SRA和RPC之间的协同作用，与多样性减少有关，但增加了生物量。相比之下，RL与RCC之间的协同效应以及SRA与RCC之间的权衡对生物量产生了负面影响。综上所述，综合根系性状组合及其相互作用可作为农业管理湿地植物多样性和生物量的可靠预测因子。这些发现为理解湿地生态动态提供了理论框架，并为半干旱区资源可持续管理提供了有价值的见解。

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引用次数: 0

Evolutionary dispersal of ecological species via Multi-Agent Deep Reinforcement Learning 基于多智能体深度强化学习的生态物种进化扩散

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-11-18 DOI: 10.1016/j.ecocom.2025.101146

Wonhyung Choi , Inkyung Ahn

Understanding species dynamics in heterogeneous environments is essential for ecosystem studies. Traditional models assumed homogeneous habitats; however, recent approaches incorporate spatial and temporal variability, highlighting the importance of species migration. We adopt starvation-driven diffusion (SDD) models as a nonlinear diffusion approach to describe species dispersal based on local resource conditions, which has been shown to offer advantages for species survival. However, accurate prediction remains challenging due to model simplifications. This study uses Multi-Agent Reinforcement Learning (MARL) with Deep Q-Networks (DQN) to simulate single-species and predator–prey interactions, incorporating SDD-type rewards. Our simulations reveal evolutionary dispersal strategies, providing insights into species dispersal mechanisms and validating traditional mathematical models.

了解异质环境中的物种动态对生态系统研究至关重要。传统模型假定生境均质；然而，最近的研究方法结合了空间和时间的变化，强调了物种迁移的重要性。我们采用饥饿驱动扩散（SDD）模型作为一种非线性扩散方法来描述基于局部资源条件的物种扩散，这已被证明为物种生存提供了优势。然而，由于模型的简化，准确的预测仍然具有挑战性。本研究使用多智能体强化学习（MARL）和深度q网络（DQN）来模拟单物种和捕食者-猎物相互作用，并结合sdd类型的奖励。我们的模拟揭示了进化的扩散策略，为物种扩散机制提供了见解，并验证了传统的数学模型。

引用次数: 0

Effect of current global warming trends on temperature-sensitive tri-trophic interactions 当前全球变暖趋势对温度敏感的三营养相互作用的影响

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-09-10 DOI: 10.1016/j.ecocom.2025.101138

Karthik K Murthy , Krishna Kumar S , Ashwin K Seshadri

Understanding the impact of current warming trends on trophic interactions in diverse ecosystems presents a formidable challenge. While theoretical studies have explored multi-trophic interactions across broad temperature gradients, applying these models to realistic ecological scenarios where ecosystems experience modest gradual change in mean temperature remains underexplored. We address this research gap by examining a dynamic tri-trophic (resource-consumer-predator) system, where all ecological rates are modelled as explicit functions of temperature. We focus on the system’s bistable behaviour, characterized by chaotic attractor sustaining oscillations of all trophic levels and periodic attractor in resource–consumer plane. Under warming conditions, the chaotic attractor transitions through a sequence of states, including chaos, transient chaos, chaos, and ultimately, loss of bistability, as temperature rises. These transitions occur within narrow temperature range aligned with recent warming trends and this pattern remains consistent over a wide range of species’ thermal sensitivity, suggesting a generic feature of tri-trophic system’s response to warming. However, the temperature thresholds associated with these transitions differ between temperate and tropical biomes, indicating spatial heterogeneity in ecosystem responses to warming. Our findings support the hypothesis that tropical regions are more vulnerable to warming, despite experiencing low increase in temperature. Finally, we demonstrate the utility of partial control method applied during transient chaos phase as a potential strategy for preventing predator population collapse. Overall, our findings offer novel insights into complex, nonlinear impacts of warming on ecological systems and provide theoretical basis for partial control method as a management tool to prevent extinction.

了解当前变暖趋势对不同生态系统营养相互作用的影响是一项艰巨的挑战。虽然理论研究已经探索了广泛温度梯度下的多营养相互作用，但将这些模型应用于生态系统经历平均温度适度渐进变化的现实生态情景仍未得到充分探索。我们通过研究一个动态的三营养（资源-消费者-捕食者）系统来解决这一研究空白，在这个系统中，所有的生态速率都被建模为温度的明确函数。我们关注系统的双稳态行为，其特征是所有营养水平的混沌吸引子持续振荡和资源消耗平面的周期性吸引子。在变暖条件下，随着温度的升高，混沌吸引子会经历一系列状态，包括混沌、瞬态混沌、混沌，并最终失去双稳性。这些转变发生在与近期变暖趋势一致的狭窄温度范围内，并且这种模式在物种的热敏感性范围内保持一致，这表明了三营养系统对变暖响应的一般特征。然而，与这些转变相关的温度阈值在温带和热带生物群系之间存在差异，表明生态系统对变暖的响应存在空间异质性。我们的发现支持了一个假设，即热带地区更容易受到变暖的影响，尽管气温的上升幅度很小。最后，我们证明了在瞬态混沌阶段应用部分控制方法作为防止捕食者种群崩溃的潜在策略的效用。总的来说，我们的研究结果为气候变暖对生态系统的复杂、非线性影响提供了新的见解，并为部分控制方法作为防止物种灭绝的管理工具提供了理论依据。

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引用次数: 0

Climate change and the shifting dynamics of marine ecology 气候变化和海洋生态的动态变化

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-07-31 DOI: 10.1016/j.ecocom.2025.101137

Abhijit Jana , Aparna Das , Sankar Kumar Roy

This study presents a four-dimensional mathematical model with time-varying parameters to analyse the diverse effects of global warming on marine ecology over the next 100 years. Key environmental factors, including rising sea surface temperature and decreasing dissolved oxygen concentrations, are evaluated in relation to their influence on plankton species. The model’s predictions are validated through a case study, comparing results with prior research. Findings indicate that rising temperatures accelerate the dilution of dissolved oxygen, significantly affecting plankton densities, with zooplankton being more susceptible to temperature changes than phytoplankton. This reduction in zooplankton and oxygen levels is anticipated to impact overall ocean productivity. The study also proposes a threshold for annual temperature increments aligned with global environmental targets. Additionally, a second model incorporating a time delay examines the period required for phytoplankton-released toxins to impact zooplankton populations. Results suggest that the time delay has minimal long-term effect on marine ecology within the study time frame. Overall, this research provides insights into the impact of atmospheric changes due to global warming on oceanic ecosystems.

本文提出了一个具有时变参数的四维数学模型，分析了未来100年全球变暖对海洋生态的各种影响。评估了主要环境因素，包括海面温度上升和溶解氧浓度下降对浮游生物种类的影响。通过一个案例研究验证了模型的预测，并将结果与先前的研究结果进行了比较。研究结果表明，温度升高加速了溶解氧的稀释，显著影响了浮游生物的密度，而浮游动物比浮游植物更容易受到温度变化的影响。浮游动物和氧气含量的减少预计会影响整个海洋的生产力。该研究还提出了一个与全球环境目标相一致的年温度增量阈值。另外，第二个包含时间延迟的模型考察了浮游植物释放的毒素影响浮游动物种群所需的时间。结果表明，在研究时间框架内，时间延迟对海洋生态的长期影响最小。总的来说，这项研究为全球变暖导致的大气变化对海洋生态系统的影响提供了见解。

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引用次数: 0

Edge effect evaluation on natural regeneration in fragment of Atlantic Forest, south of Minas Gerais, Brazil 巴西米纳斯吉拉斯州南部大西洋森林自然更新的边缘效应评价

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-07-25 DOI: 10.1016/j.ecocom.2025.101135

Ingled Borges Toledo , Farley Soares Braz , Pedro Henrique Abreu Moura , Vanessa da Fontoura Custódio Monteiro , Valter Henrique Marinho dos Santos

The Atlantic Forest, one of the most biodiverse yet threatened biomes worldwide, has undergone extensive fragmentation, resulting in pronounced edge effects. This study investigates how edge effects influence species diversity and natural regeneration structure in an Atlantic Forest fragment in southern Minas Gerais. We established eighteen 5 × 5 m plots along two transects to analyze phytosociological patterns and calculated the Shannon-Wiener diversity and Pielou evenness indices for regenerating individuals (DBH < 5 cm, height 1–3 m). Results show that edge effects significantly influence species composition and regeneration dynamics, revealing distinct patterns between transects. Transect 2 exhibited greater species stability, suggesting better conservation conditions. These findings highlight the need for targeted conservation strategies to mitigate edge-related disturbances and enhance forest regeneration in fragmented landscapes.

大西洋森林是世界上最具生物多样性但也最受威胁的生物群落之一，它经历了广泛的破碎化，导致了明显的边缘效应。本文研究了米纳斯吉拉斯州南部大西洋森林片段中边缘效应对物种多样性和自然更新结构的影响。我们沿两个样带建立了18个5 × 5 m样地，分析了植物社会学模式，并计算了再生个体的Shannon-Wiener多样性和Pielou均匀度指数(DBH <；5厘米，高1-3米)。结果表明，边缘效应显著影响物种组成和更新动态，在样带间呈现出明显的变化规律。样带2具有较高的物种稳定性，表明保护条件较好。这些发现强调了有针对性的保护策略的必要性，以减轻与边缘相关的干扰，并加强破碎景观中的森林更新。

引用次数: 0

Advances in Rhea pennata: A global bibliometric perspective and emerging trends 红腹草的研究进展：全球文献计量学视角和新趋势

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-07-23 DOI: 10.1016/j.ecocom.2025.101136

Jesús Miranda-Mamani , Alfredo Loza-Del Carpio , Humberto Peñaranda-Barra , Ingrid Maldonado

Rhea pennata populations play a vital ecological role in the Andean highland ecosystems. This study aims to critically assess the evolution, scope, and focus of global scientific research on Rhea pennata, in order to identify trends, gaps, and opportunities that can guide future conservation and ecological studies on the species. For this purpose, we realize a bibliometric analysis of 73 articles published from 1974 to 2024. For this purpose, the bibliometric tools Biblioshiny in R and the VOSviewer were utilized. Results reveal an urgent need to expand scientific research on this species, given its projected 50-year extinction risk in Peru. Furthermore, a low publication rate and several emerging research areas with potential for future investigation were identified. Key authors, significant keywords, influential sources, and high-impact publications in this field were also highlighted. Argentina stands out, particularly through the Applied Zoology Centre of the University of Córdoba, for its major scientific contributions and international collaborations. Although there are reports of captive breeding of the Rhea pennata, no successful reintroduction cases in the wild have been documented. In contrast, population increases have been observed in protected natural areas without direct human intervention and in semi-captive conditions, suggesting a shift in conservation strategies for the Rhea pennata compared to current approaches.

在安第斯高原生态系统中，pennata种群起着至关重要的生态作用。本研究旨在批判性地评估pennata的演变，范围和全球科学研究的重点，以确定趋势，差距和机会，可以指导该物种的未来保护和生态研究。为此，我们对1974年至2024年发表的73篇文章进行了文献计量学分析。为此，使用了R中的文献计量工具Biblioshiny和VOSviewer。研究结果表明，考虑到秘鲁预计50年的灭绝风险，迫切需要扩大对该物种的科学研究。此外，还确定了较低的发表率和几个具有未来研究潜力的新兴研究领域。重点介绍了该领域的主要作者、重要关键词、有影响力的来源和高影响力的出版物。特别是通过Córdoba大学应用动物学中心，阿根廷因其重大科学贡献和国际合作而脱颖而出。虽然有圈养繁殖美洲豹的报道，但在野外没有成功的重新引入案例。相比之下，在没有直接人为干预的自然保护区和半圈养条件下，观察到种群数量的增加，这表明与目前的方法相比，美洲红毛鼠的保护策略发生了转变。

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引用次数: 0

Tri-trophic networks of oak gall-inducing-insects and their parasitoids in Mexican avocado agrosystems: Forest coverage and local climatic variables importance 墨西哥牛油果农业系统中诱发橡树瘿虫及其拟寄生虫的三营养网络：森林覆盖率和当地气候变量的重要性

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-06-19 DOI: 10.1016/j.ecocom.2025.101133

Icauri Sofía Prieto-Dueñas , Pablo Cuevas-Reyes , Marcela Sofía Vaca-Sánchez , Ken Oyama , Walter Santos de Araújo , Magno Augusto Zazá Borges , Marcílio Fagundes , G․Wilson Fernandes , Yurixhi Maldonado-López

Despite trees of temperate forest ecosystems (TFEs) maintain a great diversity of biotic interactions, they are threatened by changes in land use. In Mexico, the main threat to TFEs is the conversion to avocado orchards, generating forest fragmentation affecting trophic networks, like gall-inducing insects (GII) and their parasitoids. We determined the changes in structure and diversity of trophic assemblages of GII and their parasitoids associated in Quercus castanea, Q. obtusata and Q. magnolifolia, as well as the plant vigor roll on GII diversity in sites with different percentages of forest and avocado orchards in Mexico. Per study site, we selected 20 trees with gall presence for each oak species. Also, we assessed climatic variables effects on plant vigor and GII diversity. We found that plant vigor traits and GII diversity for all oak species increases as avocado orchard does. Contrary, a decrease of parasitoid diversity was detected for areas with greater avocado orchard cover. GII diversity had a positive relationship with temperature, but negatively with precipitation in all study sites. Tri-trophic networks differed among sites, having lower connectance and greater modularity in sites with higher avocado orchard cover, while in sites with higher forest cover was the most connected and diverse. Our results suggest that TFEs conversion to avocado orchards increases plant vigor and GII diversity, but decreases parasitoid diversity and modifications in trophic networks. Therefore, we highlight the need to conserve and manage forest remnants in the avocado belt because they preserve and maintain a great diversity of biotic interactions.

尽管温带森林生态系统（tfe）的树木保持了生物相互作用的多样性，但它们受到土地利用变化的威胁。在墨西哥，对tfs的主要威胁是向牛油果果园的转变，造成森林破碎化，影响营养网络，如诱导瘿虫（GII）及其拟寄生虫。研究了墨西哥不同森林和牛油果占比的甘露栎（Quercus castanea）、黑栎（Q. obtusata）和厚朴栎（Q. magnolifolia） GII及其相关寄生蜂营养组合的结构和多样性变化，以及植物活力对GII多样性的影响。在每个研究地点，我们为每种橡树选择了20棵有瘿的树。此外，我们还评估了气候变量对植物活力和GII多样性的影响。结果表明，随着牛油果果园的扩大，所有栎种的植物活力性状和GII多样性均有所增加。相反，在牛油果覆盖面积较大的地区，寄生蜂的多样性有所减少。GII多样性与气温呈正相关，与降水量呈负相关。三营养网络在不同的站点之间存在差异，在牛油果覆被高的站点具有较低的连通性和较大的模块化，而在森林覆被高的站点具有最强的连通性和多样性。研究结果表明，tfe对牛油果果园的转化增加了植物活力和GII多样性，但减少了寄生蜂多样性和营养网络的改变。因此，我们强调需要保护和管理鳄梨带的森林遗迹，因为它们保存和维持了生物相互作用的多样性。

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引用次数: 0

Network analysis reveals humans as top predators and the key role of cuttlefish in the food web structure of a marine protected area (Arrábida Natural Park) 网络分析揭示了人类作为顶级捕食者和墨鱼在海洋保护区食物网结构中的关键作用（Arrábida自然公园）

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-06-07 DOI: 10.1016/j.ecocom.2025.101134

Catarina Vinagre , Luís Almeida , Pilar Ronquillo , Vanessa Mendonça , Duarte Frade , Emanuel J. Gonçalves , Karim Erzini , Ester A. Serrão

The marine protected area (MPA) of the Arrábida Natural Park is a mid-latitude hotspot for biodiversity. To understand its trophic structure, a highly defined food web network was assembled for this ecosystem, consisting of 884 taxa. Network analysis showed that humans are the top predators, as well as various seabirds, dolphins and sharks. This web is dominated by intermediate species, and its general organization follows previously reported patterns for other marine and coastal ecosystems. Two swimming crabs, Polybius navigator and Polybius henslowii, assume important roles as mid-trophic level consumers and prey, due to their high connectivity in the network. The cuttlefish, Sepia officinalis, a cephalopod of high commercial value, assumes the most pivotal role in the network, as it is the species with the highest number of prey and is among the top 10 most highly connected species (with more links to other species). Additionally, the cuttlefish is among the species with shortest path length, that is the lowest number of links connecting it to any other species. Since, this cephalopod is highly mobile and extends its territory outside the MPA, into the Sado estuary, where it is the main target of local fisheries, and is exposed to various pollution sources, close monitoring the local population of cuttlefish is of the utmost importance, not only in the Arrábida MPA but also in the adjacent Sado estuary.

Arrábida自然公园的海洋保护区（MPA）是生物多样性的中纬度热点。为了解该生态系统的营养结构，构建了一个由884个分类群组成的高度定义的食物网网络。网络分析显示，人类是顶级捕食者，还有各种海鸟、海豚和鲨鱼。该网以中间物种为主，其总体组织遵循先前报道的其他海洋和沿海生态系统的模式。导航员波利比乌斯（Polybius navigator）和黄绿波利比乌斯（Polybius henslowii）这两种游泳蟹由于其在网络中的高度连通性，在中等营养水平的消费者和猎物中扮演着重要的角色。乌贼（Sepia officinalis）是一种具有高商业价值的头足类动物，在这个网络中扮演着最关键的角色，因为它是猎物数量最多的物种，也是十大联系最紧密的物种之一（与其他物种的联系更多）。此外，墨鱼是最短路径长度的物种之一，即连接到其他物种的链路数量最少。由于这种头足类动物具有高度的流动性，并将其领土扩展到MPA之外的佐渡河口，在那里它是当地渔业的主要目标，并暴露于各种污染源，密切监测当地的乌贼种群是至关重要的，不仅在Arrábida MPA，而且在邻近的佐渡河口。

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引用次数: 0

Systems coupling and cross-diffusion drives complex nested pattern self-organization in predator-prey systems 系统耦合和交叉扩散驱动捕食系统中复杂嵌套模式自组织

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-05-10 DOI: 10.1016/j.ecocom.2025.101125

Tousheng Huang, Yifan Yang, Zhenyu Ren, Ruyin Li, Zequn Lin, Wang Tian

The pattern self-organization of spatially extended predator-prey systems has been under intensive investigations in recent decades, but the spatiotemporal dynamics in the case of systems coupling is still lack of understanding. In this research, we focus on the pattern self-organization when two reaction-diffusion predator-prey systems are coupled together via population vertical migration. The dispersion relation and Turing instability conditions are derived, and we find the emergence of nested patterns when the dispersion relation shows two peaks. Moreover, the positive cross-diffusion enlarges parametric region for the nested patterns and enhances the pattern complexity. Numerical simulations reveal rich types of new patterns, such as white-eye pattern, nested spot pattern, and nested stripe-spot pattern. The obtained results may provide a theoretical basis for explaining the nested structures and complex patchiness phenomena occurring in aquatic ecosystems.

近几十年来，人们对空间扩展型捕食-食饵系统的模式自组织进行了深入的研究，但对系统耦合情况下的时空动力学仍缺乏认识。本文研究了两个反应-扩散捕食者-食饵系统通过种群垂直迁移耦合在一起时的模式自组织。推导了色散关系和图灵不稳定条件，发现当色散关系出现两个峰时，会出现嵌套模式。此外，正向交叉扩散扩大了嵌套模式的参数区域，提高了模式的复杂度。数值模拟结果显示了丰富的新模式类型，如白眼模式、嵌套斑点模式和嵌套条纹-斑点模式。所得结果可为解释水生生态系统中出现的巢状结构和复杂斑块现象提供理论依据。

引用次数: 0

Accelerating ecosystem monitoring through computer vision with deep metric learning 通过深度度量学习的计算机视觉加速生态系统监测

IF 3.1 3区环境科学与生态学 Q2 ECOLOGY

Ecological Complexity

Pub Date : 2025-05-08 DOI: 10.1016/j.ecocom.2025.101124

Yurika Oba, Hideyuki Doi

Significant progress has been made in the application of deep learning models to ecosystem monitoring. Deep learning has opened up new opportunities in the interpretation of ecological data, such as detecting and identifying objects in images and acoustic monitoring analysis. However, these have created new challenges, such as the need to further improve the efficiency of data processing due to the increasing volume of data, the need for more advanced feature extraction methods due to the complexity of data characteristics, and limitations of available annotated data. In this study, we focused on deep metric learning as a new application for environmental observation data to overcome these challenges. The extraction of features such as patterns and changes from large and complex environmental observation data using a deep metric learning approach may provide new opportunities for monitoring ecosystems experiencing unprecedented loads from climate change and human activities. While these methods demonstrate the potential of deep metric learning for flora and fauna and various datasets, they also suggest challenges to overcome, such as the need for more valid training datasets, diverse data collection, training time proportional to the data volume, and the identification of unknown classes. We expect that deep metric learning will be a powerful tool for various ecosystem monitoring systems, from remote sensing of wide-area data to ecological data obtained through field surveys.

深度学习模型在生态系统监测中的应用取得了重大进展。深度学习为解释生态数据开辟了新的机会，例如检测和识别图像中的物体以及声学监测分析。然而，这些都带来了新的挑战，例如由于数据量的增加需要进一步提高数据处理的效率，由于数据特征的复杂性需要更先进的特征提取方法，以及可用的注释数据的局限性。在本研究中，我们将深度度量学习作为一种新的环境观测数据应用来克服这些挑战。利用深度度量学习方法从大型和复杂的环境观测数据中提取模式和变化等特征，可能为监测遭受气候变化和人类活动前所未有负荷的生态系统提供新的机会。虽然这些方法展示了动植物和各种数据集的深度度量学习的潜力，但它们也提出了需要克服的挑战，例如需要更有效的训练数据集，多样化的数据收集，与数据量成比例的训练时间，以及未知类别的识别。我们期望深度度量学习将成为各种生态系统监测系统的强大工具，从广域数据的遥感到通过实地调查获得的生态数据。

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引用次数: 0