Ecological Informatics

Papers
(The TQCC of Ecological Informatics is 15. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Robustness and limitations of maximum entropy in plant community assembly339
Selection against ruderals in Danish grasslands over an eight-year period264
Editorial Board213
Automated detection of sea cucumbers in turbid subtidal marine habitats: An explainable approach163
Spatial and temporal evolution of heatwaves in Taiwan in a changing climate using multi-dimensional complementary ensemble empirical mode decomposition154
ResHAN-GAM: A novel model for the inversion and prediction of soil organic matter content145
YoloXT: A object detection algorithm for marine benthos145
Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover140
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China133
Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier132
Functional diversity of benthic macroinvertebrates and fluvial habitat quality: Key biological trait categories131
Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS)131
Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models131
“Flower power”: How flowering affects spectral diversity metrics and their relationship with plant diversity112
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of Bangladesh109
Foundation models in shaping the future of ecology103
Evaluation of earth observation datasets for LST trends over India and its implication in global warming100
Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil97
Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks97
Exploring the connection of physical habitat health of the wetland with its gas regulating services97
Motion vectors and deep neural networks for video camera traps96
A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data92
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data89
Ecological security patterns of Chinese lakes based on ecosystem service values assessment and human threat factors evaluation87
Seasonal habitat suitability and distribution patterns of Mediterranean fin whales86
Effects of long-term enclosing on distributions of carbon and nitrogen in semia-arid grassland of Inner Mongolia85
Remote sensing algorithm for dissolved organic carbon in the Laptev Sea: Correction of photobleaching effect using spectral slope85
Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems85
Orchard plantation mapping using remote sensing phenological feature fusion and interpretable ML algorithms in Hunan Province, China81
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran79
Multilabel classification of peatland plant species from high-resolution drone images79
Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data78
A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning78
Climate change and dispersion dynamics of the invasive plant species Chromolaena odorata and Lantana camara in parts of the central and eastern India77
What AIS misses and Acoustics reveal: Monitoring seafloor disturbance and recovery from bottom trawling in the southern Baltic Sea over five years76
Potato crop disease prediction in Prince Edward Island using machine learning: A decision support approach for farmers75
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest73
Benchmarking remote sensing methods to capture plant functional diversity from space73
Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach73
Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data72
A review of acoustic systems for insect monitoring: From recording technologies to species recognition performance71
Deep learning-based keypoint detection for morphological measurement of termite legs with potential occlusion71
PAG-MSBNet:Prototype-aware gated multi-scale branch network for open-set crop disease recognition70
WQEye (v1): A Python-based software for machine learning-based retrieval of water quality parameters from Sentinel-2 and Landsat-8/9 remote sensing data aided by Google Earth Engine70
Low cost, high efficiency: LiDAR place recognition in vineyards with Matryoshka Representation Learning69
Modeling CO2 fluxes in coastal wetlands of China using explainable sequence-based deep learning68
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape67
A fine-tuning workflow for CNN-based bat acoustic classification67
Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection66
Sampling biases across interaction types affect the robustness of ecological multilayer networks64
Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses64
Evaluation of the monitoring capability of various vegetation indices and mainstream satellite band settings for grassland drought62
Foundation models for bioacoustics – A comparative review62
A machine learning framework for modeling long-term forest carbon dynamics under warming and nitrogen enrichment61
How urban-rural life experiences shape rural landscape preferences: Group differences and nonlinear threshold effects via VR UAV and interpretable machine learning61
Background-invariant re-identification of dogs from camera-trap videos in non-controlled environments60
Generation of spatial data on small vessel activities using a novel fisheries participatory geographic information system60
Spatial modeling tool to assess and rank peri-urban land use in an agricultural region of the Midwestern United States60
Unraveling the spatiotemporal dynamics and driving mechanisms of soil conservation service flows in the Loess Plateau via XGBoost–SHAP60
An adaptive method for individual tree segmentation synthesizing canopy cover and competitive mechanism using UAV data59
Spatiotemporal changes and driving mechanism of ecosystem carbon sink in karst peak cluster depression basin in Southwest Guangxi based on the interaction of “water-rock-soil-air-biology”59
Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing59
Uncovering environmental implications of historical stewardship of Japanese Moso Bamboo (Phyllostachys edulis) forests: a review using a multivariate imputation approach59
Flood-drought shifts monitoring on arid Xinjiang, China using a novel machine learning based algorithm58
Long-term phosphorus mass-balance of Lake Erie (Canada-USA) reveals a major contribution of in-lake phosphorus loading58
Assessing habitat diversity and potential areas of similarity across protected areas globally58
Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–201958
Temporal dynamics of biodiversity in benthic macroinvertebrate communities from a 140-year sedimentary DNA record and their driving mechanisms57
Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring57
CrossKAN: A bivariate cross KAN model for hyperspectral change detection57
Distance sampling and spatial capture-recapture for estimating density of Northern Bobwhite56
A geographical traceability method for Lanmaoa asiatica mushrooms from 20 township-level geographical origins by near infrared spectroscopy and ResNet image analysis techniques56
Spatial and temporal representation of marine fish occurrences available online56
Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering55
Flexible simulation of animal thermoregulatory behavior in three-dimensional synthetic environments from thermal and optical images55
An image enhancement approach for coral reef fish detection in underwater videos55
Towards heat tolerant metagenome functional prediction, coral microbial community composition, and enrichment analysis55
Using neural style transfer to study the evolution of animal signal design: A case study in an ornamented fish54
The first inventory of gullies in the Upper Taquari River Basin (Brazil) and its agreement with land use classes54
Centroid-AME: An open-source software for estimating avian migration trajectories using population centroids movement in the annual cycle54
The relative impact of co-occurring stressors on the abundance of benthic species examined with three-way correspondence analysis54
Transferable species distribution modelling: Comparative performance of Generalised Functional Response models54
The dynamic driving mechanisms of wetland change from an asynchrony-spatiotemporal perspective: A case study in Pearl River Delta, China53
Adaptive image processing embedding to make the ecological tasks of deep learning more robust on camera traps images53
Leveraging citizen science to classify and track benthic habitat states: An unsupervised UMAP-HDBSCAN pipeline applied to the global reef life survey dataset53
A2ANet: Real-time detection of floating marine debris using atrous convolution and channel attention52
Exploring the optimal model for assessing SOC and TN in Zanthoxylum bungeanum forest on the Loess Plateau using VNIR spectroscopy52
Impact of topography and climate on post-fire vegetation recovery across different burn severity and land cover types through random forest52
MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus52
Machine learning approach for estimating length–weight relationships in key shark species to support fisheries management51
Normalized difference vegetation index prediction based on the delta downscaling method and back-propagation artificial neural network under climate change in the Sanjiangyuan region, China51
Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China50
Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models50
A workflow to create trait databases from collections of textual taxonomic descriptions50
Predictive mapping of two endemic oak tree species under climate change scenarios in a semiarid region: Range overlap and implications for conservation50
Deep learning for automated identification of Vietnamese timber species: A tool for ecological monitoring and conservation50
Nowhere to go: Potential distribution shifts of a widespread lizard under two climate change scenarios50
Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios50
Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery49
Associations of oxygen availability with eukaryotic plankton assembly and coalescence in river–lake ecotones49
Remote sensing-based spatiotemporal dynamics of agricultural drought on Prince Edward Island using Google Earth engine49
Individual tree crown width detection from unmanned aerial vehicle images using a revised local transect method49
A modeling framework for forest aboveground biomass estimation in mixed forests of the southeastern United States using airborne lidar and PlanetScope data49
Automated detection of 20 Hz fin whale calls using computer vision techniques49
Bioclimatic controls on vegetation growth in natural and agro-mosaic montane cloud ecosystems49
Symbolic encoding of bottlenose dolphin signature whistles: A lightweight method for representation and comparison47
Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery47
SOCI-YOLO11n: A deep learning model for identifying invasive freshwater turtles in complex ecological contexts47
Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection47
Forest-Chat: Adapting vision-language agents for interactive forest change analysis47
Spatial relationship between ecosystem health and urbanization in coastal mountain city, Qingdao, China46
Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India46
Detection of dense fish schools in sonar imagery with a novel YOLOv11-SAS model45
YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection45
Metaweb approaches for understanding complex ecological interactions: A review45
Optimizing surface water detection for wetland restoration monitoring: A comparative assessment of thresholding techniques on UAV imagery45
Artificial intelligence for carbon emissions using system of systems theory45
Spatio-temporal heterogeneity of ecological water level in Poyang Lake, China45
Automated near real-time monitoring in ecology: Status quo and ways forward45
Low-disturbance UAV-AI monitoring of the endangered Przewalski's gazelle on the Qinghai-Tibetan plateau45
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia45
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques44
Intercomparison of high spatial resolution LAI remote sensing products at forest sites44
Arctic diel and circadian acoustic pattern of Orcas, Fin, and Humpback whales revealed by deep learning from two months of continuous recordings44
High risk water pollution hazards affecting Aveiro coastal lagoon (Portugal) – A habitat risk assessment using InVEST44
On the importance of integrating convolution features for Indian medicinal plant species classification using hierarchical machine learning approach44
Predicting long-term environmental acoustic urban patterns using 2-slot short-term measurement and feed-forward artificial neural networks44
Mapping high-resolution XCO2 concentrations in China from 2015 to 2020 based on spatiotemporal ensemble learning model43
Assessing Gonipterus defoliation levels using multispectral unmanned aerial vehicle (UAV) data in Eucalyptus plantations43
Forecasting the abundance of disease vectors with deep learning43
Designing water-saving-ecological check dam sites by a system optimization model in a region of the loess plateau, Northwest China43
SooSim, a landscape model for assessing mire habitat degradation and restoration43
Mapping spatiotemporal mortality patterns in spruce mountain forests using Sentinel-2 data and environmental factors43
Multi-camera synchronization and instance tracking for Avian behavior analysis in a floating aviary42
Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques42
Comparing socioeconomic vulnerability index and land cover indices: Application of fuzzy TOPSIS model and geographic information system42
A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study42
Territorial spatial vulnerability assessment based on PSO-BP neural network: A case study in Shenzhen, China42
Spatial patterning of benthic macroinvertebrate communities using Geo-self-organizing map (Geo-SOM): A case study in the Nakdong River, South Korea42
Monitoring vegetation patterns and their drivers to infer resilience: Automated detection of vegetation and megaherbivores from drone imagery using deep learning42
Utilizing deep transfer learning to discover changes in landscape patterns in urban wetland parks based on multispectral remote sensing41
LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis41
Remote sensing-derived land surface temperature trends over South Asia40
Enhancing rice seed purity recognition accuracy based on optimal feature selection40
A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes40
A simulation based approach for enhancing automatic detection of cicada songs in challenging chorus conditions40
Working with GNSS collar data. The importance of pre-analysis when setting the sampling interval40
Exploring spatiotemporal dynamics and drivers of forest ecosystems in southern Europe with explainable machine learning40
Advancing invasive species monitoring: A free tool for detecting invasive cane toads using continental-scale data40
Predicting invasive species distributions using incremental ensemble-based pseudo-labeling40
YOLO_MRC: A fast and lightweight model for real-time detection and individual counting of Tephritidae pests39
Real-time measurement of individual tree structure parameters based on augmented reality in an urban environment39
Balancing urban expansion with ecological integrity: An ESP framework for rapidly urbanizing small and medium-sized cities, with insights from Suizhou, China39
Cross-scale observation of riparian vegetation: Testing the potential of satellite-UAV-Field integrated observations for large-scale herbaceous species39
Predictive modeling of regional carbon storage dynamics in response to land use/land cover changes: An InVEST-based analysis39
A framework for dynamic assessment of soil erosion and detection of driving factors in alpine grassland ecosystems using the RUSLE-InVEST (SDR) model and Geodetector: A case study of the source region39
Responses of soil respiration and its sensitivities to temperature and precipitation: A meta-analysis38
Automated note annotation after bioacoustic classification: Unsupervised clustering of extracted acoustic features improves detection of a cryptic owl38
Vegetation coverage precisely extracting and driving factors analysis in drylands38
Individual-based modelling of small pelagic fish in the Adriatic Sea: integrating stock assessments, ecophysiology of fish, and environmental forcings38
Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression38
UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China38
A new approach to estimate total nitrogen concentration in a seasonal lake based on multi-source data methodology38
Combining environmental DNA and remote sensing variables to model fish biodiversity in tropical river ecosystems38
Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas38
An automated approach for counting ants in densely populated images and gaining insight into ant foraging behavior38
Evaluating the temporal patterns of land use and precipitation under desertification in the semi-arid region of Brazil38
Using 360-degree panoramic technology to explore the mechanisms underlying the influence of landscape features on visual landscape quality in traditional villages38
From LSA to LLM: Evolution and limitations of topic modelling methods for biodiversity conservation38
A high resolution spatial modelling framework for landscape-level, strategic conservation planning38
Winter tree and terrain shadow correction reveals land cover mapping errors in Sentinel-2 satellite imagery37
CE-CNN-FA-BiGRU: A novel deep learning framework for sap flow prediction across trees at different ages and species with historical environmental factors37
Assessing the impact of gold mining on forest cover in the Surinamese Amazon from 1997 to 2019: A semi-automated satellite-based approach37
An explainable ensemble machine-learning framework for short-term forecasting of algal blooms across contrasting Lake systems37
A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions37
Conifer seedling mapping with UAS data and supervised learning in postfire southern Rockies landscapes36
A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India36
Three-dimensional graph reconstruction of filamentous structures from z-stack images36
The Frankenstein species distribution modelling: A composite Bayesian framework accounting for spatio-temporal heterogeneity in ecologically diverse regions36
Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning36
SALMA: A machine learning tool for precise leaf morphology measurements36
Machine learning-enhanced ecohydrological modelling of monthly-scale oasis dynamics driven by ecological water diversion: A case study of the Qingtu Oasis, China36
Analyzing wildfire patterns and climate interactions in Campania, Italy: A multi-sensor remote sensing study36
Advancing provenance assignment using machine learning and time series analysis of chemical chronologies in archival tissues36
Divergent dynamics of surface water patterns and structures in Europe's coastal-zone basins36
Integrating AI technologies and citizen science to fast-track small and ectothermic animal monitoring35
Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas35
Rookognise: Acoustic detection and identification of individual rooks in field recordings using multi-task neural networks35
Stochastic network to model the global spreading of respiratory diseases: From SARS-CoV-2 to pathogen X pandemic35
The Atlantic forest is a potentially climatic suitable habitat for four Neotropical Myrtaceae species through time35
Bacterial community characterization by deep learning aided image analysis in soil chips35
Influences of vegetation, model, and data parameters on forest aboveground biomass assessment using an area-based approach35
Simplifying the calibration of ecological models by using the parameter estimation tool (PEST): The Curonian Lagoon case35
Reconstructing coastal ponds functional classification: Integration of multi-feature remote sensing35
Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies: The case of environmental variations in micronektonic layers34
Evaluating the efficiency of future crop pattern modelling using the CLUE-S approach in an agricultural plain34
Enhancing mango disease diagnosis through eco-informatics: A deep learning approach34
Embracing asymmetry in nature: How to account for skewness in ecological data34
Comparison of patch-based and synoptic connectivity algorithms with graph theory metrics. A case study in Reggio Calabria metropolitan area (South Italy)34
Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm34
The influence of biophysical characteristics on elephant space use in an African savanna34
Estimating net primary productivity of semi-arid Crimean pine stands using biogeochemical modelling, remote sensing, and machine learning34
Species misidentification affects biodiversity metrics: Dealing with this issue using the new R package naturaList34
VCPNET: A new dataset to benchmark vegetation carbon phenology metrics34
HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network34
Balancing signature variance between local and global minima/maxima: Restricted maximum likelihood (REML) classification and the search for plagioclimax33
Predicting the impact of future climate changes and range-shifts of Indian hornbills (family: Bucerotidae)33
Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study33
An integrated system for the acoustic monitoring of goat farms33
Assessing the distribution of nocturnal chlorophyll-a in the Northwest Pacific Ocean using ocean color and fishery echosounder acoustic data33
Evaluating machine leaning algorithms for accuracy, stability, and among-predictors discriminability in modeling species-richness across ten datasets33
Coastal waterbird eco-habitat stability assessment in Zhangjiangkou Mangrove National Nature Reserve Based on habitat function-coordination coupling33
Mapping global orchid assemblages with deep learning provides novel conservation insights33
Benchmarking wild bird detection in complex forest scenes33
Dynamic simulation and key influencing factors of carbon storage in the water-depleted zones of an arid Inland River Basin: Insights from the Tarim River mainstream33
Assessment of land surface vulnerability using time-series geospatial datasets32
Potential of Sentinel-2 time series in capturing boreal forest structural diversity32
Zonation-based prioritization of vegetation conservation for terminal lakes in drylands32
Global climatic impact on the sea kraits living near the tectonic plate boundaries32
Improving AI performance in wildlife monitoring through species and environment-specific training: A case study on desert Bighorn sheep32
Exploring the trade-offs between spatial and spectral resolution in mapping invasive alien trees32
Parallel xLSTM-informer model for long-term dissolved oxygen prediction using STL decomposition and Bayesian optimization32
Multi-scale neural networks enhance species distribution modelling across predictors and taxonomic groups31
Change in cereal production caused by climate change in Malaysia31
Land-Unet: A deep learning network for precise segmentation and identification of non-structured land use types in rural areas for green urban space analysis31
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds31
Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents31
Application and field validation of machine and deep learning models for predicting nitrogen losses in rice paddies with fertilizer deep-placement31
Vision transformer meets convolutional neural network for plant disease classification31
Feature embeddings from the BirdNET algorithm provide insights into avian ecology31
Bioclimatic similarity between species locations and their environment revealed by dimensionality reduction analysis30
Impacts of global climate change on the spatial range of insects distributed across the Pacific Ocean30
Assessment of pan coefficient performance: A comparative study of empirical and model-driven approaches using a hill-climbing-based alternating model tree and MOORA30
Hierarchical classification of insects with multitask learning and anomaly detection30
Remote sensing of flowers30
Modeling and formal analysis of meta-ecosystems with dynamic structure using graph transformation30
Refining landsat-based annual NDVImax estimation using shape model fitting and phenological metrics30
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications30
Post-fire vegetation dynamic patterns and drivers in Greater Hinggan Mountains: Insights from long-term remote sensing data analysis30
Fin whale pulse detection with deep neural networks30
Prototyping a system for detection and notification of damage or theft in beehives30
Spatiotemporal evolution analysis of human disturbances on giant panda: A new approach to study cumulative influences with large spatial scales30
Application of machine learning approaches for land cover monitoring in northern Cameroon30
Spatiotemporal evolution for early warning of ecological carrying capacity during the urbanization process in the Dongting Lake area, China30
Variability and ecological relevance of alternative group structures in food webs30
Reference architecture design for developing data management systems in smart farming30
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory30
Deep learning-based analysis of insect life stages using a repurposed dataset29
Revealing forest structural "fingerprints": An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests29
Influences of noise on paddy chlorophyll mapping and associated uncertainty across heterogeneous landscapes using Sentinel-2 and hybrid models29
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