Ecological Modelling最新文献

{"title":"Increase in young forests, more than climate change may accelerate future colonization of temperate tree species in mixedwood boreal stands","authors":"Maxence Soubeyrand ,&nbsp;Fabio Gennaretti ,&nbsp;Marie-Hélène Brice ,&nbsp;Pierre Grondin ,&nbsp;Yves Bergeron ,&nbsp;Philippe Marchand","doi":"10.1016/j.ecolmodel.2024.110892","DOIUrl":"10.1016/j.ecolmodel.2024.110892","url":null,"abstract":"<div><div>Temperate hardwood tree species may take advantage of climate change to migrate northward tracking their optimal growth and survival niches. Other factors than climate could constrain or facilitate their establishment north of their actual range, such as competitive interactions, their ability to disperse, and forest management. The objectives of this study were to model the ability of temperate tree species to colonize boreal mixedwood stands of Eastern Canada from a few temperate tree seeders, considering the effects of climate change, competitive interactions, and specific successional stages of the receiving stands. We used the individual based forest model SORTIE-ND with adult growth forced by four different projected climate change scenarios. To mimic the natural colonization of temperate trees from marginal populations eventually established by long-distance migration, we replaced a patch in the center of the simulated stands with temperate tree species, i.e., red maple, sugar maple or yellow birch. We then performed a sensitivity analysis on the parameters determining the growth, dispersal, and mortality of temperate tree species to determine which of these processes was critical to their expansion. All three temperate tree species were able to colonize the boreal stands with higher performance in younger stands, and greater colonization skills for yellow birch. At the 2100 horizon, the impact of the climate scenarios on the final basal area of temperate tree species was minor. Processes mostly driven by competition and species auto-ecology, including dispersion, mortality, and juvenile growth parameters, were the most important for the colonization capacity. Our results suggest that the expansion of temperate tree species from already established northern marginal populations would be minimally affected by climate change, and that forest management could have a more significant impact by rejuvenating boreal mixedwood landscapes.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110892"},"PeriodicalIF":2.6,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Models vetted against prediction error and parameter sensitivity standards can credibly evaluate ecosystem management options","authors":"Timothy C. Haas","doi":"10.1016/j.ecolmodel.2024.110900","DOIUrl":"10.1016/j.ecolmodel.2024.110900","url":null,"abstract":"<div><div>A new standard for assessing model credibility is developed. This standard consists of parameter estimation, prediction error assessment, and a parameter sensitivity analysis that is driven by outside individuals who are skeptical of the model’s credibility (hereafter, <em>skeptics</em>). Ecological/environmental models that have a one-step-ahead prediction error rate that is better than naive forecasting — and are not excessively sensitive to small changes in their parameter values are said here to be <em>vetted</em>. A procedure is described that can perform this assessment on any model being evaluated for possible participation in an ecosystem management decision. Uncertainty surrounding the model’s ability to predict future values of its output variables and in the estimates of all of its parameters should be part of any effort to vett a model. The vetting procedure described herein, Prediction Error Rate-Deterministic Sensitivity Analysis (PER-DSA), incorporates these two aspects of model uncertainty. DSA in particular, requires participation by skeptics and is the reason why a successful DSA gives a model sufficient credibility to have a voice in ecosystem management decision making. But these models need to be stochastic and represent the mechanistic processes of the system being modeled. For such models, performing a PER-DSA can be computationally expensive. A cluster computing algorithm to speed-up these computations is described as one way to answer this challenge. This new standard is illustrated through a PER-DSA of a population dynamics model of South African rhinoceros (<em>Ceratotherium simum simum</em>).</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110900"},"PeriodicalIF":2.6,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"An individual-based model for exploration of population and stock dynamics in marine fishes","authors":"C.B. Woodson ,&nbsp;S.Y. Litvin ,&nbsp;J.R. Schramski ,&nbsp;S.B. Joye","doi":"10.1016/j.ecolmodel.2024.110842","DOIUrl":"10.1016/j.ecolmodel.2024.110842","url":null,"abstract":"<div><div>Many size- or age-structure fisheries models require estimation of fundamental population level parameters such as growth, mortality, and recruitment rates that are notoriously difficult to estimate and can constrain the ability of models for exploring emergent properties in population dynamics. To address some of these issues, we develop a discrete-time individual-based model that integrates both age- and size-based concepts. Individual fish are tracked throughout their lifetime allowing for assessment of age-based concepts, with traits determined by size. This method utilizes individual growth parameters as opposed to population level growth rates and allows for many properties of populations that are normally prescribed to be emergent properties of the model. We demonstrate the utility of the model for reproducing population level parameters such as slope at origin for recruitment curves and intrinsic growth rates. The addition of spatial dynamics where a population is sub-divided into discrete stocks further allows for the assessment of various conservation techniques such as marine protected areas, fishing area rotation, and size limits at the individual level.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110842"},"PeriodicalIF":2.6,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420870","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":"Building ecosystem services-based ecological networks in energy and chemical industry areas","authors":"Huanhuan Pan ,&nbsp;Ziqiang Du ,&nbsp;Zhitao Wu ,&nbsp;Hong Zhang ,&nbsp;Keming Ma","doi":"10.1016/j.ecolmodel.2024.110897","DOIUrl":"10.1016/j.ecolmodel.2024.110897","url":null,"abstract":"<div><div>The massive utilization of fossil energy by humans has promoted socio-economic development. However, it has also generated severe regional eco-environmental problems, including water shortage, soil erosion, and land desertification. An optimal ecological-network-based regulation of eco-environmentally damaged areas is necessary to balance economic development with rigid eco-environmental constraints in pursuit of sustainable regional development. Using remote-sensing, meteorology, land use, and soil data of energy and chemical industrial areas in the mid-upper reaches of the Yellow River, we quantitatively evaluated the related ecosystem services (ESs) by applying InVEST, CASA, and RWEQ models. Additionally, we constructed ecological conservation networks comprising ecological source areas, resistance surface, corridors, and nodes. The results are as follows. First, from 2000 to 2020, the areas of cultivated and unused land decreased, but those of forest, grassland, water bodies, and construction land increased. Regarding spatial distribution, the proportion of grassland was the highest, followed by unused land, and other types of land accounting for a relatively low proportion. Second, from 2000 to 2020, all ESs and the overall ecosystem improved. However, ESs demonstrated a clear spatial heterogeneity (i.e., better in the southeast than in the northwest). Third, comparing the two ecological networks constructed by minimum cumulative resistance (MCR) and circuit models, the MCR-based ecological network was considered better because of its higher ε, θ, and σ values. Robustness analysis also showed that the MCR-based ecological network was more stable. Finally, ecological source areas of 110,300 km² were obtained, accounting for 21.69 % of the study region. Ecological resistance was relatively high in desert areas, which are to the northwest of the study region, and relatively low in the southeast. Fifty-nine ecological corridors (including 31 important ones) and 22 ecological nodes were extracted. The finalized ecological network was diamond-shaped, with the ecological source areas in four directions (i.e., east, south, west, and north) of the study region being closely connected. To promote the spatial optimization of the study region, appropriate measures (e.g., afforestation and soil improvement) must be taken to reduce regional imbalance in ecological condition, improve ecosystem functions and landscape connectivity, reduce various resistance, and ultimately promote conservation outcomes.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110897"},"PeriodicalIF":2.6,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420869","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":"Model-based experiments as epistemic evidence in paleoecology","authors":"Wolfgang Traylor","doi":"10.1016/j.ecolmodel.2024.110895","DOIUrl":"10.1016/j.ecolmodel.2024.110895","url":null,"abstract":"<div><div>Where ordinary experiments are impossible and observational data scarce and indirect<!--> <!-->—<!--> <!-->particularly in paleoecosystems<!--> <!-->—<!--> <!-->computational experiments are often our only means to learn about reality. There are good arguments to count such model-based predictions as evidence, testing hypotheses and updating our beliefs about the world. However, the epistemic weight of computational experiments depends on an adequate model representation of the target system, transparency about predictive uncertainty, and the avoidance of confirmation bias. I argue that mechanistic models are particularly suited for paleoecological predictions but that iterative uncertainty analyses should guide their development. Using a Bayesian framework I propose preregistration and blinded analysis as tools to strengthen the epistemic value of computational experiments. Here, a preregistration marks the boundary between exploratory model development, which establishes credence in the model, and predictive model application, which tests hypotheses. As good modeling practice I suggest clarifying epistemic goals at the outset of a project and accordingly choose methods to maximize the epistemic weight of the computational experiment.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110895"},"PeriodicalIF":2.6,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"A coupled machine-learning-individual-based model for migration dynamics simulation: A case study of migratory fish in fish passage facilities","authors":"Jingyang Wang ,&nbsp;Baiyin baoligao ,&nbsp;Xiangpeng Mu ,&nbsp;Zhihong Qie ,&nbsp;Guangning Li","doi":"10.1016/j.ecolmodel.2024.110899","DOIUrl":"10.1016/j.ecolmodel.2024.110899","url":null,"abstract":"<div><div>The extensive development of hydropower projects has notably changed the ecohydrological conditions of fish habitats, affecting fish behavior, including habitat usage and migration, to varying extents. Understanding fish migration dynamics is essential for quantitatively assessing the impact of ecological restoration measures on migratory fish. However, no model has yet demonstrated sufficient accuracy to be considered valuable in ecological restoration engineering. To address this issue, in this article, a coupled machine-learning-individual-based model (ML-IBM) consisting of random forest (RF) and Eulerian–Lagrangian–agent method (ELAM) is constructed for predicting fish migration, aiming to find effective fish passage solutions before implementation. In this study, the passage data of ya-fish (<em>Schizothorax prenanti</em>) in vertical slot fishways (VSFs) is compiled to train ML-IBM to simulate fish migration in fish passage facilities. In movement prediction, the accuracy of swimming behavior classification reaches 83.4 %, and the R² for swimming speed regression exceeds 0.77. Compared with other state-of-the-art migration dynamic models, the proposed ML-IBM achieves the lowest root mean square error (RMSE) of 7.35 and a mean absolute error (MAE) of 6.26 in migration simulation results. Further, RF is used to quantitatively calculate the importance of input features. The contributions of each feature are analyzed and discussed from a hydrodynamic perspective, with the importance ranked as follows: flow velocity (FV) &gt; turbulent kinetic energy (TKE) &gt; total hydraulic strain (THS). This approach enhances the interpretability of the model and provides further insights into the mechanism of fish migration. The results presented in this study have significant implications for informing decision-making in the management of living resources and guiding engineering design processes.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110899"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420867","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":"Snow runoff modelling in the upper Indus River Basin and its implication to energy water food nexus","authors":"Hazrat Bilal ,&nbsp;Chamhuri Siwar ,&nbsp;Mazlin Bin Mokhtar ,&nbsp;Fatima-Zahra Lahlou ,&nbsp;Kasturi Devi Kanniah ,&nbsp;Tareq Al-Ansari","doi":"10.1016/j.ecolmodel.2024.110871","DOIUrl":"10.1016/j.ecolmodel.2024.110871","url":null,"abstract":"<div><div>Pakistan's hydropower sector depends heavily on glacier and snowmelt water that originates from the Upper Indus Basin (UIB). It is expected that climate change may adversely affect future hydropower generation capacity as a result of fluctuations in the magnitude, seasonality and hydrological extremes of the Indus River flow. This study employed the Degree-Day Snowmelt Runoff Model alongside the Moderate Resolution Imaging Spectroradiometer MODIS and daily ground-based hydro-meteorological data to model the snowmelt runoff response in the UIB. The results indicated a significant increase in the annual and seasonal runoff under both RCP4.5 and RCP8.5 scenarios, suggesting more water availability for hydropower and irrigation. By the end of the century, annual river flow is projected to increase by 28 % to 69 % under the RCP4.5 and RCP8.5 climate scenarios. Consequently, rise in annual river flow is expected to increase the electricity generation capacity of future hydropower projects by 93 % to 167 % under the RCP4.5 and RCP8.5 scenarios, respectively. The construction of robust multipurpose dams may potentially reduce flood risks in downstream areas during peak flows, while also supplying water for hydropower generation and irrigation during low flows. This, in turn, may enhance the resilience of both the hydropower and agriculture sectors in the face of climate change.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110871"},"PeriodicalIF":2.6,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Habitat availability decline for waterbirds in a sensitive wetland: Climate change impact on the Ebro Delta","authors":"Andrés De la Cruz ,&nbsp;Catherine Numa","doi":"10.1016/j.ecolmodel.2024.110896","DOIUrl":"10.1016/j.ecolmodel.2024.110896","url":null,"abstract":"<div><div>The highly biodiverse, productive and vulnerable areas, such as coastal wetlands, are increasingly threatened by human-induced disturbances, resulting in habitat loss. This habitat loss is a critical driver of biodiversity decline and significantly impacts species distribution and behavior, increasing the risk of extinctions. To address these concerns, we developed a Species Distribution Model (SDM) using a decade-long dataset of waterbird functional group occurrences in the Ebro Delta, with a particular focus on the Ardeidae family, which represents the most prominent species in the wetland. This model aims to predict potential habitat loss under various climate change scenarios, specifically those outlined in the Intergovernmental Panel on Climate Change (IPCC) Representative Concentration Pathways (RCP) 4.5 and 8.5, across three distinct time periods.</div><div>Our SDM revealed that habitat suitability for waterbirds was notably influenced by temperature variations, increased cumulative precipitation, and lower terrain elevation. Predictions indicate an increase in available habitat for these waterbird species over the study periods considering the specified climate scenarios. However, the incorporation of sea-level rise and flooded areas into the models unveiled a dramatic decline in available areas for waterbirds in the long-term, reaching up to 50 % (RCP 4.5) and 70 % (RCP 8.5) reduction.</div><div>Our study highlights the urgent need for conservation efforts to mitigate the substantial reduction in available habitat for waterbirds. This need is especially crucial due to the Ebro Delta's importance as a vital coastal wetland for many thousands of waterbirds throughout their entire life cycle. Immediate and targeted conservation actions are imperative to safeguard the essential habitats for these species.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110896"},"PeriodicalIF":2.6,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Attributing hypoxia responses of early life Menidia menidia to energetic mechanisms with Dynamic Energy Budget theory","authors":"Teresa G. Schwemmer ,&nbsp;Roger M. Nisbet ,&nbsp;Janet A. Nye","doi":"10.1016/j.ecolmodel.2024.110889","DOIUrl":"10.1016/j.ecolmodel.2024.110889","url":null,"abstract":"<div><div>Ocean deoxygenation is intensifying worldwide due to warming and eutrophication, particularly in estuaries and coastal waters. Although the Atlantic silverside (<em>Menidia menidia</em>) is tolerant of the fluctuating environmental conditions in its estuarine habitat, chronic hypoxia impairs hatching, growth, and survival in the early life stages. We used a simplified version of a Dynamic Energy Budget model (DEBkiss) to test the hypothesis that experimentally observed changes in animal performance can be explained by one or more of the rate processes in the model. We sought to identify the DEBkiss parameters that, when adjusted with a correction factor based on inhibition of Synthesizing Units, provided the best fit to hypoxia effects in the three state variables of total length, egg buffer mass, and survival over time. Because hypoxia reduces survival in embryos and newly hatched larvae, we added a survival state variable controlled by pre- and post-hatching mortality parameters. Applying the hypoxia effects to reduce the conversion efficiency of assimilates to structure accounted for some of the hypoxia-related changes in all three state variables. However, the best fit was achieved by simultaneously reducing the conversion efficiency and increasing both mortality parameters. In contrast, changing the parameter for maintenance rate with hypoxia provided little to no improvement of fit to the data. Reduced conversion efficiency under hypoxia would suggest that less of the energy invested by parents and consumed through predation is converted into biomass in <em>M. menidia</em> offspring, with implications for size at age that could threaten recruitment and alter the flow of energy through the food web.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110889"},"PeriodicalIF":2.6,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359673","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":"How much is enough? Optimizing beehive stocking densities to maximize the production of a pollinator-dependent crop","authors":"Andrés F. Ramírez-Mejía ,&nbsp;Natacha P. Chacoff ,&nbsp;Pablo Cavigliasso ,&nbsp;Pedro G. Blendinger","doi":"10.1016/j.ecolmodel.2024.110891","DOIUrl":"10.1016/j.ecolmodel.2024.110891","url":null,"abstract":"<div><div>Animal pollination is essential to guarantee the economic viability of pollination-dependent crops, and honeybees (<em>Apis mellifera</em> L.) play a central role as the most used species worldwide for pollination service management. Despite its importance, recommendations on honeybee hive stocking density are based on rules of thumb that assume hives as standardized units and do not consider the contingencies of the crop's pollen deposition demand. We developed a mechanistic simulation model to assess the consequences of variant hive quality and stocking density scenarios for blueberry productivity per hectare. To do so, we used Bayesian models, field experiments and secondary information to parametrize the simulation and estimate flower visitation rate, pollen deposition, and fruit production at the crop level. We found that maximizing pollen deposition at the crop level can be achieved with seven high quality-hives ha⁻¹ (20000 bees colony⁻¹), whereas reaching similar levels of pollination with conventional hives (10000 bees colony⁻¹) would require 20 hives ha⁻¹. Also, optimal hive stocking densities to maximize blueberry yield ha⁻¹ needs four high quality-hives ha⁻¹, whilst similar levels of productivity could be reached with 20 conventional colonies ha⁻¹. From an economic and productive perspective, a lower unit rental price for conventional hives compensates for the use of less, but more expensive, high quality hives. Therefore, deciding using either low or high-quality hives should be based on, for instance, the logistic implications of using ∼2.5 more hives ha⁻¹ and the consequences of using colonies with a poorer sanitation state for pollination service stability. Our work set the basis for a more biological and evidence-based protocol for honeybee hive management in blueberry crops. Indeed, integrating honeybee and blueberry pollination ecology, we provide a pragmatic approach to maximize crop productivity based on the minimum beehive stocking densities that optimize pollen deposition and crop yield ha⁻¹ depending on hive's quality. Knowing such a minimum allows for reduced operation costs for farmers, lower uncertainty of pollinators contribution to crop productivity and the risk of undesirable pollination scenarios, and helps to limit the potential negative impacts of saturating ecosystems with honeybees.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110891"},"PeriodicalIF":2.6,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326877","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}