A5055461404- Spatial and Panel Data Analysis
- Soil Geostatistics and Mapping
- Statistical Methods and Bayesian Inference
- Economic and Environmental Valuation
- Statistical Methods and Inference
- Ecology and Vegetation Dynamics Studies
- Data-Driven Disease Surveillance
- Forest Insect Ecology and Management
- Geochemistry and Geologic Mapping
- Forest ecology and management
- Bayesian Methods and Mixture Models
- Intermetallics and Advanced Alloy Properties
- Soil Carbon and Nitrogen Dynamics
- Animal Ecology and Behavior Studies
- Plant and animal studies
- Metallurgical and Alloy Processes
- High Temperature Alloys and Creep
- Noise Effects and Management
- Magnesium Alloys: Properties and Applications
- Forest Management and Policy
- Wildlife Ecology and Conservation
- Point processes and geometric inequalities
- Hydrogen Storage and Materials
- Food Safety and Hygiene
- Aluminum Alloys Composites Properties
Shanghai Jiao Tong University
2025
Ministry of Education of the People's Republic of China
2025
University of Wisconsin–Madison
2015-2024
Sichuan University
2002-2023
West China Second University Hospital of Sichuan University
2023
South China University of Technology
2022-2023
Agricultural Research Service
2023
ZheJiang Academy of Agricultural Sciences
2023
Zhejiang University
2023
Ministry of Agriculture and Rural Affairs
2023
The biodiversity-productivity relationship (BPR) is foundational to our understanding of the global extinction crisis and its impacts on ecosystem functioning. Understanding BPR critical for accurate valuation effective conservation biodiversity. Using ground-sourced data from 777,126 permanent plots, spanning 44 countries most terrestrial biomes, we reveal a globally consistent positive concave-down BPR, showing that continued biodiversity loss would result in an accelerating decline forest...
Significance Tree diversity is fundamental for forest ecosystem stability and services. However, because of limited available data, estimates tree at large geographic domains still rely heavily on published lists species descriptions that are geographically uneven in coverage. These limitations have precluded efforts to generate a global perspective. Here, based ground-sourced database, we estimate the number biome, continental, scales. We estimated richness (≈73,300) ≈14% higher than...
"Statistical Methods for Spatial Data Analysis." Journal of the American Statistical Association, 101(473), pp. 389–340
Eruptive herbivores can exert profound landscape level influences. For example, the ongoing mountain pine beetle outbreak in British Columbia, Canada, has resulted mortality of mature lodgepole over >7 million ha. Analysis spatio‐temporal pattern spread lend insights into processes initiating and/or sustaining such phenomena. We present a analysis development current outbreak. Aerial survey assessments tree mortality, projected onto discrete 12×12 km cells, were used as proxy for insect...
Insect outbreaks exert landscape‐level influences, yet quantifying the relative contributions of various exogenous and endogenous factors that contribute to their pattern spread remains elusive. We examine an outbreak mountain pine beetle covering 800 thousand ha area on Chilcotin Plateau British Columbia, Canada, during 1970s early 1980s. present a model incorporates spatial temporal arrangements outbreaking insect populations, as well climatic influence development. Onsets eruptions...
Climate change can markedly impact biology, population ecology, and spatial patterns of eruptive insects due to the direct influence temperature on insect development success. The mountain pine beetle Dendroctonus ponderosae (Coleoptera: Curculionidae), is a landscape‐altering that infests forests North America. Abundant availability host trees altered disturbance regimes has facilitated an unprecedented, landscape‐wide outbreak this pest in British Columbia Alberta, Canada, during past...
Here we give an introduction to the growing number of statistical techniques for analyzing data that are not independent realizations same sampling process—in other words, correlated data. We focus on regression problems, in which value a given variable depends linearly another variable. To illustrate different types processes leading data, analyze four simulated examples representing diverse problems arising ecological studies. The first example is comparison among species determine...
Identifying how habitat use is influenced by environmental heterogeneity at different scales central to understanding ungulate population dynamics on complex landscapes. We used resource selection functions (RSF) study summer in a reintroduced and expanding elk (Cervus elaphus nelsoni) the Chequamegon National Forest, Wisconsin, USA. Factors were examined that where established home ranges within ranges. also determined grain sizes over which responded number of categories from low high...
Until recently, few water utilities or researchers were aware of possible virus presence in deep aquifers and wells. During 2008 2009 we collected a time series samples from six municipal water-supply The wells range depth approximately 220 to 300 m draw sandstone aquifer. Three these beneath regional aquitard, three both above below the aquitard. We also sampled local lake untreated sewage as potential sources. Viruses detected up 61% each well sampled, many groundwater positive for...
Advances in digital biotelemetry technologies are enabling the collection of bigger and more accurate data on movements free-ranging wildlife space time. Although many devices record 3D location with x, y, z coordinates from tracked animals, third coordinate is typically not integrated into studies animal spatial use. Disregarding vertical component may seriously limit understanding habitat use niche separation. We present novel movement-based kernel density estimators computer visualization...
Waterborne pathogens were measured at three beaches in Lake Michigan, environmental factors for predicting pathogen concentrations identified, and the risk of swimmer infection illness was estimated. detected 96% samples collected Michigan summer, 2010. Samples quantified 22 four microbial categories (human viruses, bovine protozoa, pathogenic bacteria). All had detections human viruses bacteria indicating influence multiple contamination sources these beaches. Occurrence ranged from 40 to...
Until recently, soybean [ Glycine max (L.) Merr.] fields were often seeded at a single rate. Advances in GPS and variable rate technology (VRT) are allowing growers to use planting prescriptions optimize yields input costs. This study was conducted find the key predictors for characterizing seed yield from commonly collected precision agriculture data layers. Research 11 unique both 2013 2014 Wisconsin all 22 site‐years following corn Zea mays (L.)]. Seeding rate, soil sampling, yield,...
Recent studies have revealed the vulnerability of Large Language Models (LLMs) to adversarial attacks, where adversary crafts specific input sequences induce harmful, violent, private, or incorrect outputs. Although various defenses been proposed, they not evaluated by strong adaptive leaving worst-case robustness LLMs still intractable. By developing a stronger white-box attack, our evaluation results indicate that most typical achieve nearly 0\% robustness.To solve this, we propose...
In this paper we consider the problem of bootstrapping a class spatial regression models when sampling sites are generated by (possibly nonuniform) stochastic design and irregularly spaced. It is shown that natural extension existing block bootstrap methods for grid data does not work spaced under nonuniform designs. A variant blocking mechanism proposed. proposed method provides valid approximation to distribution M-estimators parameters. Finite sample properties investigated through...
Summary Spatial linear models are popular for the analysis of data on a spatial lattice, but statistical techniques selection covariates and neighbourhood structure limited. Here we develop new methodology simultaneous model parameter estimation via penalized maximum likelihood under adaptive lasso. A computationally efficient algorithm is devised obtaining approximate estimates. Asymptotic properties estimates their approximations established. simulation study shows that method proposed has...
ABSTRACT: U.S. beef slaughter facilities are required to use a carcass intervention treatment reduce contamination by Escherichia coli O157:H7. Very small operators generally unable carry out challenge studies validate effectiveness, and in‐plant pathogen not permitted. The objective of this study was evaluate the measured decreases in generic E. , coliforms, Enterobacteriaceae, aerobic plate count, treatments used at very Wisconsin. Over 9‐mo period, 265 head were sampled 22 before after...