{"_id":"kwYLGf4zJJrBomBbt","bibbaseid":"loehle-weatherford-detectingpopulationtrendswithhistoricaldatacontributionsofvolatilitylowdetectabilityandmetapopulationturnovertopotentialsamplingbias-2017","author_short":["Loehle, C.","Weatherford, P."],"bibdata":{"bibtype":"article","type":"article","title":"Detecting population trends with historical data: Contributions of volatility, low detectability, and metapopulation turnover to potential sampling bias","volume":"362","issn":"03043800","doi":"10.1016/j.ecolmodel.2017.08.021","journal":"Ecological Modelling","author":[{"propositions":[],"lastnames":["Loehle"],"firstnames":["Craig"],"suffixes":[]},{"propositions":[],"lastnames":["Weatherford"],"firstnames":["Philip"],"suffixes":[]}],"year":"2017","pages":"13–18","bibtex":"@article{loehle_detecting_2017,\n\ttitle = {Detecting population trends with historical data: {Contributions} of volatility, low detectability, and metapopulation turnover to potential sampling bias},\n\tvolume = {362},\n\tissn = {03043800},\n\tdoi = {10.1016/j.ecolmodel.2017.08.021},\n\tjournal = {Ecological Modelling},\n\tauthor = {Loehle, Craig and Weatherford, Philip},\n\tyear = {2017},\n\tpages = {13--18},\n}\n\n\n\n","author_short":["Loehle, C.","Weatherford, P."],"key":"loehle_detecting_2017","id":"loehle_detecting_2017","bibbaseid":"loehle-weatherford-detectingpopulationtrendswithhistoricaldatacontributionsofvolatilitylowdetectabilityandmetapopulationturnovertopotentialsamplingbias-2017","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero-group/jcmaerz/5044154","dataSources":["mCHFziEwJLRwofY4u"],"keywords":[],"search_terms":["detecting","population","trends","historical","data","contributions","volatility","low","detectability","metapopulation","turnover","potential","sampling","bias","loehle","weatherford"],"title":"Detecting population trends with historical data: Contributions of volatility, low detectability, and metapopulation turnover to potential sampling bias","year":2017}