Fish and Fisheries最新文献

{"title":"Untangling Conflicts in Small-Scale Fisheries","authors":"Almudena Cánovas Molina,&nbsp;Sophie Gourguet","doi":"10.1111/faf.70026","DOIUrl":"10.1111/faf.70026","url":null,"abstract":"<p>Conflicts are presumably pervading small-scale fishery (SSF) systems around the world due to the highly complex interactions taking place within them. To provide a deeper understanding of these conflicts and the resolution strategies in place, a literature review was conducted. Despite the unique and complex conflicts encountered, certain common patterns emerged across the studies in their drivers, stakeholders involved, intensity, responses and resolution strategies. In total, 194 publications documenting conflicts across 201 locations worldwide were analysed. Conflicts were reported both within SSF and between SSF and 13 other groups and activities, primarily with large-scale fisheries (LSF) and public authorities. Competition over resources and space, along with restrictions to fishing, were the most common drivers of conflict. These were occasionally associated with ethnics, political corruption and resentment among others. Violent responses were rather frequent, yet some cooperation strategies also emerged in the midst of tensions. Stakeholder engagement and new regulations were the most frequent strategies to de-escalate conflicts, although the efficacy of these approaches varied across locations. Although combinations of conflict resolution strategies were used in some instances, strategies were combined in no more than two or three at a time and in less than half of the de-escalated cases. This highlights a lack of multifaceted conflict resolution strategies.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"1198-1212"},"PeriodicalIF":6.1,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145017172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Probabilistic Forecasts of Fish Abundances With Spatio-Temporal Models to Support Fisheries Management","authors":"Arnaud Grüss,&nbsp;Andrew J. Allyn,&nbsp;James T. Thorson,&nbsp;Katherine E. Mills,&nbsp;Ellen Yasumiishi,&nbsp;Matthew H. Pinkerton,&nbsp;Darren M. Parsons,&nbsp;Nokuthaba Sibanda","doi":"10.1111/faf.70025","DOIUrl":"10.1111/faf.70025","url":null,"abstract":"<p>Spatio-temporal species distribution models (SDMs) are valuable tools to support fisheries management, as they account for long-term and time-varying unmeasured variation (spatial and spatio-temporal variation), thereby providing more accurate and statistically efficient estimates than simpler SDMs. However, the application of spatio-temporal SDMs for probabilistic forecasts of fish abundances has been slowed by two main challenges. First, guidance surrounding the decisions needed to generate forecasts with a spatio-temporal SDM is lacking. Second, there is limited functionality to efficiently produce forecasts with spatio-temporal SDMs while also propagating uncertainty about initial conditions and process errors. We developed new approaches to forecasting with spatio-temporal SDMs, which allow for efficient predictions with spatio-temporal SDMs and quantifying the influence of different model components on prediction uncertainty. We illustrate our approaches with two contrasting applications: west coast New Zealand snapper (<i>Chrysophrys auratus</i>), using fisheries data and examining retrospective forecasts; and Bering Sea capelin (<i>Mallotus villosus</i>), employing fisheries-independent data and generating forecasts to 2100. The applications showed that spatio-temporal variation should be included in spatio-temporal SDMs to produce forecasts, to explain a much larger fraction of the variability in the data, thereby providing more accurate reconstructions of population trends and better characterising uncertainty around forecasts. Our results also highlight that forecasts with spatio-temporal SDMs work best in data-rich situations, particularly if the time series of fish data is relatively long. Our approaches can help unlock the use of spatio-temporal SDMs to make both near-term and long-term forecasts, providing better information to fisheries managers and informing future data collection.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"1180-1197"},"PeriodicalIF":6.1,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145009233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drivers and Dynamics of Salmon Bycatch in the Eastern Bering Sea Pollock Fishery","authors":"Lukas B. DeFilippo,&nbsp;Wesley A. Larson,&nbsp;Patrick D. Barry,&nbsp;Curry J. Cunningham,&nbsp;Joseph A. Langan,&nbsp;Sabrina Garcia,&nbsp;Kathrine G. Howard,&nbsp;James N. Ianelli,&nbsp;Diana L. Stram","doi":"10.1111/faf.70020","DOIUrl":"10.1111/faf.70020","url":null,"abstract":"<p>Minimising bycatch is a pervasive challenge for sustainable fisheries management, the importance of which is amplified for non-target species or populations that are in decline. In the eastern Bering Sea (EBS) walleye pollock (<i>Gadus chalcogrammus</i>) fishery, salmon—most notably Chinook (<i>Oncorhynchus tshawytscha</i>) and chum (<i>O. keta</i>)—are encountered as bycatch. Salmon bycatch in the EBS pollock fishery has become an issue of growing concern, largely due to declines in Western Alaska Chinook and chum salmon, which support directed fisheries vital to the wellbeing of regional communities. Consequently, minimising salmon bycatch is a management priority and requires information on the underlying processes driving encounters between salmon and pollock vessels. In this study, we present a broad synthesis of Chinook and chum salmon bycatch dynamics in the EBS pollock fishery. Applying a hierarchical modelling framework to nearly 120,000 catch records collected over 13 years (2011–2023), we quantify patterns of variation in salmon bycatch over space and time, and environmental drivers thereof. Our results reveal spatially structured, interannual variation in chum and Chinook salmon bycatch associated with oceanographic conditions. We also demonstrate the importance of interactions between bottom depth and local sea surface temperature anomalies in shaping bycatch rates, which vary across fishing seasons and salmon species. By advancing our understanding of the factors that contribute to encounters between pollock vessels and salmon, this study can inform ongoing management efforts aimed at minimising multispecies salmon bycatch in a changing marine ecosystem.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"1107-1121"},"PeriodicalIF":6.1,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145017173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abundance Trends of Pacific Salmon During a Quarter Century of ESA Protection","authors":"Michael J. Ford,&nbsp;Steven T. Lindley,&nbsp;Katie A. Barnas,&nbsp;Andrew O. Shelton,&nbsp;Brian C. Spence,&nbsp;Laurie A. Weitkamp,&nbsp;Damon M. Holzer,&nbsp;David A. Boughton,&nbsp;Elizabeth E. Holmes,&nbsp;James M. Myers,&nbsp;Chris E. Jordan,&nbsp;Heidi Fish,&nbsp;Martin Liermann,&nbsp;Michael R. O'Farrell,&nbsp;Nathan J. Mantua,&nbsp;Rachel C. Johnson,&nbsp;William H. Satterthwaite,&nbsp;Thomas H. Williams","doi":"10.1111/faf.70019","DOIUrl":"10.1111/faf.70019","url":null,"abstract":"<p>Between 1989 and 2007, 28 Distinct Population Segments (DPS) of Pacific salmon (<i>Oncorhynchus</i> spp.) spawning in rivers in California and the Pacific Northwest (Oregon, Washington, Idaho) were listed (protected) under the US Endangered Species Act (ESA). In the roughly 25 years since then, considerable efforts have been made to recover these populations, but no DPS has increased sufficiently to be delisted. We evaluated abundance trends of ESA-listed Pacific salmon DPS, along with DPS that were not ESA-listed. Our goal was to evaluate whether protected DPS increased in abundance during the period of protection (nominally 1995–2020 in our study), either in absolute terms or relative to the unprotected DPS. A majority of the protected DPS had increasing abundance trends over this time period, and protected populations had higher median trends than non-protected populations of the same species. Geographically, populations in the Pacific Northwest had higher median trends than those in California. Among species of protected populations, Chinook salmon (<i>O. tshawytscha</i>), chum salmon (<i>O. keta</i>) and sockeye salmon (<i>O. nerka</i>) had higher median trends than coho salmon (<i>O. kisutch</i>) and steelhead (anadromous <i>O. mykiss</i>). For most DPS (listed and unlisted), trends in harvest rates and hatchery releases were relatively stable during the same time period, whereas trends in indicators related to freshwater and marine climate were generally negative for salmon. Our results suggest that salmon recovery actions may have helped to stabilise and increase protected DPS, but most remain far below their recovery goals.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"1087-1106"},"PeriodicalIF":6.1,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144923895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bottom-Up Interactions in State-Space Age-Structured Models Using Mass-Balance Dynamics","authors":"James T. Thorson,&nbsp;Kerim Y. Aydin,&nbsp;Matthew L. H. Cheng,&nbsp;Beatriz S. Dias,&nbsp;David G. Kimmel,&nbsp;Kasper Kristensen","doi":"10.1111/faf.70016","DOIUrl":"10.1111/faf.70016","url":null,"abstract":"<p>Age-structured models are used worldwide to regulate fisheries. These models typically ignore top-down interactions (predation affecting natural mortality) and bottom-up interactions (consumption affecting individual growth, reproduction, or survival), whereas multispecies catch-at-age models often incorporate top-down but not bottom-up interactions. While Ecopath-with-Ecosim (EwE) incorporates both top-down and bottom-up interactions along with age-structured dynamics, it is not typically fitted to age-composition data. We extend Ecostate (a state-space version of EwE) to incorporate age-structured dynamics while fitting to age-structured data and use this to illustrate how to add bottom-up interactions to age-structured models. Specifically, we add age-structured dynamics and likelihood components for age-composition and weight-at-age data while estimating residual variation in larval survival (recruitment deviations) and consumption (weight-at-age deviations). As a demonstration, we fit the model to biomass and age-composition data for two commercial species (Alaska pollock and sablefish) in the Gulf of Alaska, including population dynamics for their major prey, while not fitting weight-at-age data so that it can be used for out-of-sample evaluation of model performance. The model can be viewed as a multispecies age-structured model (e.g., estimating adult mortality rates, survey catchability and selectivity, and recruitment variation) and as a mass-balance ecosystem model (e.g., estimating trophic position and weight-at-age based on forage consumption). The predicted weight-at-age is weakly correlated with independent measurements for pollock and sablefish but was improved when we incorporated forage biomass indices. We recommend that age-structured models routinely explore the link between prey consumption and resulting size-at-age, whether using coupled predator–prey dynamics or simplifications that treat prey abundance as fixed data.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"1048-1064"},"PeriodicalIF":6.1,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144911012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging Earth Observation Data to Monitor Boat-Based Recreational Fishing","authors":"Javier Menéndez-Blázquez,&nbsp;Mara Segovia,&nbsp;David March","doi":"10.1111/faf.70017","DOIUrl":"10.1111/faf.70017","url":null,"abstract":"<p>Recreational fishing is widespread in coastal zones and exerts significant ecological, fisheries-related and socio-economic pressures. Unlike commercial fishing, small-scale recreational fleets are challenging to monitor because they lack enforced use of vessel tracking systems such as the Automatic Identification System (AIS). Recently, remote sensing technologies have emerged as promising alternatives for monitoring marine activities. Here, we assess the potential of high spatio-temporal resolution satellite imagery to monitor daily changes in recreational fishing boats during a temporal fishing ban within a marine protected area. By comparing satellite-derived boat detections with AIS records, we demonstrate that satellite data can reliably capture daily changes in recreational fishing activity missed by AIS, including a marked increase immediately following the end of the ban. These findings confirm that satellite observations can consistently detect small fishing boats and reveal their fine-scale spatio-temporal patterns. When complemented with local knowledge, this approach enhances our capacity to contribute to the spatial planning and ecosystem-based management of recreational fisheries.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"1065-1074"},"PeriodicalIF":6.1,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144911011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Putting Regional Fisheries Management Organisations' Climate Change House in Order","authors":"Kamal Azmi,&nbsp;Graham Pilling,&nbsp;Johann Bell,&nbsp;Yi-Jay Chang,&nbsp;Adele Dutilloy,&nbsp;Timothy H. Frawley,&nbsp;Paul Hamer,&nbsp;John Hampton,&nbsp;Quentin Hanich,&nbsp;Tyla Hill-Moana,&nbsp;Jhen Hsu,&nbsp;Glenn Hurry,&nbsp;Leyla Knittweis,&nbsp;Hongyu Lin,&nbsp;Dongqi Lu,&nbsp;Philipp Neubauer,&nbsp;Simon Nicol,&nbsp;Robert Scott,&nbsp;Inna Senina,&nbsp;Yang Wang,&nbsp;Ashley J. Williams,&nbsp;Fan Zhang","doi":"10.1111/faf.70015","DOIUrl":"10.1111/faf.70015","url":null,"abstract":"<p>Climate change is expected to have significant impacts on the biology, abundance and distribution of transboundary fish stocks, not only among neighbouring countries within the jurisdictions of regional fisheries management organisations (RFMOs) but also between adjacent RFMOs. Using South Pacific albacore tuna (<i>Thunnus alalunga</i>) as a case study, we highlight how RFMOs need to understand the impacts of climate change on transboundary stocks under their purview with greater certainty. We identify four areas of research that should assist RFMOs to adapt their scientific processes—strengthened understanding of changes in the biology of target stocks; enhanced collection of data to support modelling; improved modelling of catch-per-unit of effort (CPUE) to better reflect climate change impacts on stock abundance for assessments; and ensuring that scientific advice is adaptive and robust to climate change, including through implementation of tested harvest strategies. Investments in these research areas should enable RFMOs to improve the science underpinning management measures designed to sustain transboundary stocks and increase fishery performance during climate change.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"1040-1047"},"PeriodicalIF":6.1,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Helping to Build Stock Assessment Capacity in Australia: A Case Study","authors":"Catherine Mary Dichmont,&nbsp;Natalie Anne Dowling,&nbsp;André Eric Punt,&nbsp;Sean Pascoe,&nbsp;Roy Aijun Deng,&nbsp;Ingrid van Putten,&nbsp;Jason Marc Cope","doi":"10.1111/faf.70018","DOIUrl":"10.1111/faf.70018","url":null,"abstract":"<p>Fisheries stock assessment capacity faces resource constraints in many countries, including limited personnel, high workloads, and restricted funding. Stock assessment scientists often operate under short timelines, with outcomes that can influence livelihoods and receive public scrutiny. Scientists frequently manage multiple assessments each year, making time management a challenge. Consequently, finding opportunities to invest in professional development remains difficult within existing operational demands. We developed a series of approaches to invest in Australia's employed stock assessment capacity, and present these as a case study for other similar marine science fields and countries. The approaches led to critical insights to a way forward to develop a ‘Community of Practice’. We used network analyses to evaluate collaboration based on published Australian stock assessments and related papers. We then used surveys and interviews to understand the factors that have constrained stock assessment scientists in investing in their own development. Tools and opportunities were then made available: (a) a web site providing a central repository on freely available stock assessment packages and Australian stock assessment reports; (b) training courses on the use of assessment packages that were open to participants across organisations; and (c) a simulation game to learn in a ‘consequence free’ environment. This paper highlights what has been learnt and generalises these findings beyond the Australian stock assessment community's well-being.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"1075-1086"},"PeriodicalIF":6.1,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Making the Most of Available Data: A Case Study of Converging Analyses to Model an Emerging Fishery for Jonah Crab (Cancer borealis)","authors":"Ruby Krasnow,&nbsp;Les Kaufman,&nbsp;Ethan Deyle","doi":"10.1111/faf.70011","DOIUrl":"10.1111/faf.70011","url":null,"abstract":"<div>\u0000 \u0000 <p>Targeted fishing of Jonah crabs (<i>Cancer borealis</i>) has greatly intensified in recent decades as lobster populations have declined, forcing fishermen to shift their focus to Jonah and other crab species. Effective management of this developing fishery is limited, however, by a lack of information on their life history traits, abundance and distribution. The long-term sustainability of the fishery depends upon near-term efforts to maximise the value of existing data sources to assess species abundance and inform management. We applied three distinct modelling approaches—traditional linear regression, generalised additive models and empirical dynamic modelling—to data from the Maine–New Hampshire Inshore Trawl Survey to validate hypotheses about Jonah crab distribution and migration earlier derived from interviews with fishermen. There was strong agreement between the information reported by fishermen and the survey data, including depth preferences, seasonal inshore–offshore movements and sex-specific migration patterns. This study demonstrates that rather than simply deploying a multi-modal approach with model selection or averaging, employing a complement of statistical methods convergently and interfacing with engaged social science can better capitalise on limited fishery-independent data to support the development of sustainable management frameworks for emerging fisheries.</p>\u0000 </div>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"991-1003"},"PeriodicalIF":6.1,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Data Deficient to Big Data in Shark Conservation","authors":"F. Ferretti,&nbsp;J. Jenrette,&nbsp;S. Moro,&nbsp;C. Butner,&nbsp;E. Fox,&nbsp;S. H. D. Haddock,&nbsp;S. J. Jorgensen,&nbsp;T. Hastie,&nbsp;F. Micheli","doi":"10.1111/faf.70006","DOIUrl":"10.1111/faf.70006","url":null,"abstract":"<p>Citizen science is increasingly harnessed worldwide to gather data otherwise requiring a prohibitive investment of funding and time. Meanwhile, the revolution in digital communication offers opportunities from crowdsourcing, big data approaches and social network mining to quickly and cost-effectively fill major gaps in knowledge necessary to protect endangered populations. Sharks are among the most endangered and data-poor vertebrates in the ocean. Mainly due to overfishing, many shark populations are declining worldwide, while most species lack basic abundance, distribution and life-history data. Hence, filling knowledge gaps across taxa, ecosystems, and regions is urgently needed to increase our understanding of their ecology, develop effective conservation actions and reverse their loss. Here, we introduce a novel citizen science and crowdsourcing approach for conservation through sharkPulse, a new platform automating data ingestion and organisation to build the largest database of shark occurrence records to date. Designed to complement and extend similar biodiversity monitoring tools relying heavily on user submissions, sharkPulse aims to source large streams of online shark images and transform them into occurrence records, filling knowledge gaps in shark ecology and biology. This platform offers a blueprint to leverage AI and big data approaches, social network data mining and participatory science to efficiently and continuously source visual media materials and transform the monitoring of data-limited marine and terrestrial animal populations.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"26 6","pages":"977-990"},"PeriodicalIF":6.1,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144850675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}