Item talk:Q269657
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Assessment of forest fragmentation in southern New England using remote sensing and geographic information systems technology", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70187033", "url": "https://pubs.usgs.gov/publication/70187033" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70187033 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1046/j.1523-1739.1995.9020439.x", "url": "https://doi.org/10.1046/j.1523-1739.1995.9020439.x" } ], "journal": { "@type": "Periodical", "name": "Conservation Biology", "volumeNumber": "9", "issueNumber": "2" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Conservation Biology" } ], "datePublished": "1995", "dateModified": "2017-04-20", "abstract": "Spatial patterns and rates of forest fragmentation were assessed using digital remote sensing data for a region in southern New England that included 157 townships in southern New Hampshire and northeastern Massachusetts. The study area has undergone marked population increases over the last several decades. Following classification of 1973 and 1988 Landsat Multispectral Scanner data into forest and nonforest classes, data were incorporated into a geographic information system. The natural logarithms of forest area to perimeter ratios, referred to as the forest continuity index, were used to assess patterns and trends of forest fragmentation across the region Forest continuity index values were extracted from each township for both data sets and compared with population data. Forest continuity index values were found to decrease with increasing population density until about 200 persons per square kilometer, after which the relationship stabilized. With slight population increases at low densities forest continuity index values declined sharply, implying abrupt increases in forest fragmentation. Results from the study indicated good negative correlations (r2 values of 0.81 and 0.77) between the Multispectral Scanner-derived forest continuity index and natural logs of township population density. Socioeconomic indicators such as affluence and commuting patterns did not appear to correlate well with forest fragmentation estimates. Decreases in forest continuity index values occurred throughout much of the study region between 1973 and 1988, suggesting that forest fragmentation is occurring over large regions within the eastern United States. It is technologically feasible to assess patterns and rates of forest fragmentation across much larger areas than analyzed in this study; such analyses would provide useful overviews enabling objective assessment of the magnitude of forest fragmentation.", "description": "11 p.", "publisher": { "@type": "Organization", "name": "Wiley" }, "author": [ { "@type": "Person", "name": "Vogelmann, James E. vogel@usgs.gov", "givenName": "James E.", "familyName": "Vogelmann", "email": "vogel@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-0804-5823", "url": "https://orcid.org/0000-0002-0804-5823" }, "affiliation": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center (Geography)", "url": "https://www.usgs.gov/centers/eros" } ] } ], "funder": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros" } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/4074035" }, { "@type": "Place", "additionalType": "state", "name": "Massachusetts" }, { "@type": "Place", "additionalType": "state", "name": "New Hampshire" }, { "@type": "Place", "geo": [ { "@type": "GeoShape", "additionalProperty": { "@type": "PropertyValue", "name": "GeoJSON", "value": { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": {}, "geometry": { "type": "Polygon", "coordinates": [ [ [ -72.4053955078125, 42.26511445833756 ], [ -70.5487060546875, 42.26511445833756 ], [ -70.5487060546875, 43.329173667843904 ], [ -72.4053955078125, 43.329173667843904 ], [ -72.4053955078125, 42.26511445833756 ] ] ] } } ] } } }, { "@type": "GeoCoordinates", "latitude": 42.79714406309073, "longitude": -71.47705078125 } ] } ] }, "OpenAlex": { "_id": "https://openalex.org/w2057974215", "abstract_inverted_index": { "Spatial": [ 0 ], "patterns": [ 1, 88, 194, 242 ], "and": [ 2, 29, 49, 57, 89, 110, 171, 180, 192, 220, 243 ], "rates": [ 3, 244 ], "of": [ 4, 47, 71, 91, 169, 183, 214, 245, 266, 269 ], "forest": [ 5, 56, 72, 81, 92, 146, 156, 177, 202, 207, 224, 246, 270 ], "fragmentation": [ 6, 93, 203, 225, 247 ], "were": [ 7, 61, 84, 101, 119 ], "assessed": [ 8 ], "using": [ 9 ], "digital": [ 10 ], "remote": [ 11 ], "sensing": [ 12 ], "data": [ 13, 54, 60, 108 ], "for": [ 14, 106 ], "a": [ 15, 64 ], "region": [ 16, 96, 217 ], "in": [ 17, 25, 155, 206, 254 ], "southern": [ 18, 26 ], "New": [ 19, 27 ], "England": [ 20 ], "that": [ 21, 223 ], "included": [ 22 ], "157": [ 23 ], "townships": [ 24 ], "Hampshire": [ 28 ], "northeastern": [ 30 ], "Massachusetts.": [ 31 ], "The": [ 32, 68 ], "study": [ 33, 161, 216 ], "area": [ 34, 73 ], "has": [ 35 ], "undergone": [ 36 ], "marked": [ 37 ], "population": [ 38, 113, 125, 141, 185 ], "increases": [ 39, 142, 154 ], "over": [ 40, 228 ], "the": [ 41, 80, 95, 136, 160, 174, 215, 232, 267 ], "last": [ 42 ], "several": [ 43 ], "decades.": [ 44 ], "Following": [ 45 ], "classification": [ 46 ], "1973": [ 48, 219 ], "1988": [ 50 ], "Landsat": [ 51 ], "Multispectral": [ 52, 175 ], "Scanner": [ 53 ], "into": [ 55, 63 ], "nonforest": [ 58 ], "classes,": [ 59 ], "incorporated": [ 62 ], "geographic": [ 65 ], "information": [ 66 ], "system.": [ 67 ], "natural": [ 69, 181 ], "logarithms": [ 70 ], "to": [ 74, 78, 86, 121, 198, 240 ], "perimeter": [ 75 ], "ratios,": [ 76 ], "referred": [ 77 ], "as": [ 79, 190 ], "continuity": [ 82, 98, 116, 147, 178, 208 ], "index,": [ 83 ], "used": [ 85 ], "assess": [ 87, 241 ], "trends": [ 90 ], "across": [ 94, 248 ], "Forest": [ 97, 115 ], "index": [ 99, 117, 148, 179, 209 ], "values": [ 100, 118, 149, 168, 210 ], "extracted": [ 102 ], "from": [ 103, 159 ], "each": [ 104 ], "township": [ 105, 184 ], "both": [ 107 ], "sets": [ 109 ], "compared": [ 111 ], "with": [ 112, 123, 201 ], "data.": [ 114 ], "found": [ 120 ], "decrease": [ 122 ], "increasing": [ 124 ], "density": [ 126 ], "until": [ 127 ], "about": [ 128 ], "200": [ 129 ], "persons": [ 130 ], "per": [ 131 ], "square": [ 132 ], "kilometer,": [ 133 ], "after": [ 134 ], "which": [ 135 ], "relationship": [ 137 ], "stabilized.": [ 138 ], "With": [ 139 ], "slight": [ 140 ], "at": [ 143 ], "low": [ 144 ], "densities": [ 145 ], "declined": [ 150 ], "sharply,": [ 151 ], "implying": [ 152 ], "abrupt": [ 153 ], "fragmentation.": [ 157, 271 ], "Results": [ 158 ], "indicated": [ 162 ], "good": [ 163 ], "negative": [ 164 ], "correlations": [ 165 ], "(r": [ 166 ], "2": [ 167 ], "0.81": [ 170 ], "0.77)": [ 172 ], "between": [ 173, 218 ], "Scanner\u2010derived": [ 176 ], "logs": [ 182 ], "density.": [ 186 ], "Socioeconomic": [ 187 ], "indicators": [ 188 ], "such": [ 189, 257 ], "affluence": [ 191 ], "commuting": [ 193 ], "did": [ 195 ], "not": [ 196 ], "appear": [ 197 ], "correlate": [ 199 ], "well": [ 200 ], "estimates.": [ 204 ], "Decreases": [ 205 ], "occurred": [ 211 ], "throughout": [ 212 ], "much": [ 213, 249 ], "1988,": [ 221 ], "suggesting": [ 222 ], "is": [ 226, 237 ], "occurring": [ 227 ], "large": [ 229 ], "regions": [ 230 ], "within": [ 231 ], "eastern": [ 233 ], "United": [ 234 ], "States.": [ 235 ], "It": [ 236 ], "technologically": [ 238 ], "feasible": [ 239 ], "larger": [ 250 ], "areas": [ 251 ], "than": [ 252 ], "analyzed": [ 253 ], "this": [ 255 ], "study;": [ 256 ], "analyses": [ 258 ], "would": [ 259 ], "provide": [ 260 ], "useful": [ 261 ], "overviews": [ 262 ], "enabling": [ 263 ], "objective": [ 264 ], "assessment": [ 265 ], "magnitude": [ 268 ] }, "apc_list": { "value": 3090, "currency": "USD", "value_usd": 3090, "provenance": "doaj" }, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5032310448", "display_name": "James E. Vogelmann", "orcid": "https://orcid.org/0000-0002-0804-5823" }, "institutions": [], "countries": [ "US" ], "is_corresponding": true, "raw_author_name": "James E. Vogelmann", "raw_affiliation_strings": [ "Current address: Hughes STX Corp., EROS Data Center, Sioux Falls, SD 57198, U.S.A." ], "affiliations": [ { "raw_affiliation_string": "Current address: Hughes STX Corp., EROS Data Center, Sioux Falls, SD 57198, U.S.A.", "institution_ids": [] } ] } ], "best_oa_location": null, "biblio": { "volume": "9", "issue": "2", "first_page": "439", "last_page": "449" }, "citation_normalized_percentile": { "value": 0.915155, "is_in_top_1_percent": false, "is_in_top_10_percent": true }, "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2057974215", "cited_by_count": 91, "cited_by_percentile_year": { "min": 96, "max": 97 }, "concepts": [ { "id": "https://openalex.org/C205649164", "wikidata": "https://www.wikidata.org/wiki/Q1071", "display_name": "Geography", "level": 0, "score": 0.7352315 }, { "id": "https://openalex.org/C191015642", "wikidata": "https://www.wikidata.org/wiki/Q1132459", "display_name": "Fragmentation (computing)", "level": 2, "score": 0.7129517 }, { "id": "https://openalex.org/C198979508", "wikidata": "https://www.wikidata.org/wiki/Q913302", "display_name": "Forest fragmentation", "level": 3, "score": 0.5405603 }, { "id": "https://openalex.org/C2908647359", "wikidata": "https://www.wikidata.org/wiki/Q2625603", "display_name": "Population", "level": 2, "score": 0.5023885 }, { "id": "https://openalex.org/C97137747", "wikidata": "https://www.wikidata.org/wiki/Q38112", "display_name": "Forestry", "level": 1, "score": 0.478932 }, { "id": "https://openalex.org/C100970517", "wikidata": "https://www.wikidata.org/wiki/Q52107", "display_name": "Physical geography", "level": 1, "score": 0.44279367 }, { "id": "https://openalex.org/C28631016", "wikidata": "https://www.wikidata.org/wiki/Q372561", "display_name": "Forest management", "level": 2, "score": 0.42461446 }, { "id": "https://openalex.org/C199733313", "wikidata": "https://www.wikidata.org/wiki/Q22856", "display_name": "Population density", "level": 3, "score": 0.4161359 }, { "id": "https://openalex.org/C58640448", "wikidata": "https://www.wikidata.org/wiki/Q42515", "display_name": "Cartography", "level": 1, "score": 0.35054058 }, { "id": "https://openalex.org/C62649853", "wikidata": "https://www.wikidata.org/wiki/Q199687", "display_name": "Remote sensing", "level": 1, "score": 0.32953203 }, { "id": "https://openalex.org/C18903297", "wikidata": "https://www.wikidata.org/wiki/Q7150", "display_name": "Ecology", "level": 1, "score": 0.26326907 }, { "id": "https://openalex.org/C149923435", "wikidata": "https://www.wikidata.org/wiki/Q37732", "display_name": "Demography", "level": 1, "score": 0.16198364 }, { "id": "https://openalex.org/C130217890", "wikidata": "https://www.wikidata.org/wiki/Q47041", "display_name": "Biodiversity", "level": 2, "score": 0.1261811 }, { "id": "https://openalex.org/C86803240", "wikidata": "https://www.wikidata.org/wiki/Q420", "display_name": "Biology", "level": 0, "score": 0.073604345 }, { "id": "https://openalex.org/C144024400", "wikidata": "https://www.wikidata.org/wiki/Q21201", "display_name": "Sociology", "level": 0, "score": 0.0 } ], "corresponding_author_ids": [ "https://openalex.org/A5032310448" ], "corresponding_institution_ids": [], "countries_distinct_count": 1, "counts_by_year": [ { "year": 2023, "cited_by_count": 1 }, { "year": 2022, "cited_by_count": 3 }, { "year": 2021, "cited_by_count": 4 }, { "year": 2020, "cited_by_count": 4 }, { "year": 2019, "cited_by_count": 3 }, { "year": 2018, "cited_by_count": 1 }, { "year": 2017, "cited_by_count": 2 }, { "year": 2016, "cited_by_count": 3 }, { "year": 2014, "cited_by_count": 1 }, { "year": 2013, "cited_by_count": 5 } ], "created_date": "2016-06-24", "datasets": [], "display_name": "Assessment of Forest Fragmentation in Southern New England Using Remote Sensing and Geographic Information Systems Technology", "doi": "https://doi.org/10.1046/j.1523-1739.1995.9020439.x", "fulltext_origin": "ngrams", "fwci": 1.999, "grants": [], "has_fulltext": true, "id": "https://openalex.org/W2057974215", "ids": { "openalex": "https://openalex.org/W2057974215", "doi": "https://doi.org/10.1046/j.1523-1739.1995.9020439.x", "mag": "2057974215" }, "indexed_in": [ "crossref" ], "institutions_distinct_count": 0, "is_paratext": false, "is_retracted": false, "keywords": [ { "id": "https://openalex.org/keywords/fragmentation", "display_name": "Fragmentation (computing)", "score": 0.7129517 }, { "id": "https://openalex.org/keywords/habitat-fragmentation", "display_name": "Habitat Fragmentation", "score": 0.581291 }, { "id": "https://openalex.org/keywords/forest-fragmentation", "display_name": "Forest fragmentation", "score": 0.5405603 }, { "id": "https://openalex.org/keywords/population-density", "display_name": "Population density", "score": 0.4161359 } ], "language": "en", "locations": [ { "is_oa": false, "landing_page_url": "https://doi.org/10.1046/j.1523-1739.1995.9020439.x", "pdf_url": null, "source": { "id": "https://openalex.org/S98137347", "display_name": "Conservation Biology", "issn_l": "0888-8892", "issn": [ "0888-8892", "1523-1739" ], "is_oa": false, "is_in_doaj": false, "is_core": true, "host_organization": "https://openalex.org/P4310320595", "host_organization_name": "Wiley", "host_organization_lineage": [ "https://openalex.org/P4310320595" ], "host_organization_lineage_names": [ "Wiley" ], "type": "journal" }, "license": null, "license_id": null, "version": null, "is_accepted": false, "is_published": false } ], "locations_count": 1, "mesh": [], "ngrams_url": "https://api.openalex.org/works/W2057974215/ngrams", "open_access": { "is_oa": false, "oa_status": "closed", "oa_url": null, "any_repository_has_fulltext": false }, "primary_location": { "is_oa": false, "landing_page_url": "https://doi.org/10.1046/j.1523-1739.1995.9020439.x", "pdf_url": null, "source": { "id": "https://openalex.org/S98137347", "display_name": "Conservation Biology", "issn_l": "0888-8892", "issn": [ "0888-8892", "1523-1739" ], "is_oa": false, "is_in_doaj": false, "is_core": true, "host_organization": "https://openalex.org/P4310320595", "host_organization_name": "Wiley", "host_organization_lineage": [ "https://openalex.org/P4310320595" ], "host_organization_lineage_names": [ "Wiley" ], "type": "journal" }, "license": null, "license_id": null, "version": null, "is_accepted": false, "is_published": false }, "primary_topic": { "id": "https://openalex.org/T10005", "display_name": "Biodiversity Conservation and Ecosystem Management", "score": 0.9993, "subfield": { "id": "https://openalex.org/subfields/2309", "display_name": "Nature and Landscape Conservation" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, "publication_date": "1995-04-01", "publication_year": 1995, "referenced_works": [ "https://openalex.org/W1562070918", "https://openalex.org/W1998989163", "https://openalex.org/W2018435222", "https://openalex.org/W2035830634", "https://openalex.org/W2050814720", "https://openalex.org/W2051144184", "https://openalex.org/W2059801314", "https://openalex.org/W2067079960", "https://openalex.org/W2076110569", "https://openalex.org/W2081460991", "https://openalex.org/W2116792598", "https://openalex.org/W2123284266", "https://openalex.org/W2124260049", "https://openalex.org/W2129775337", "https://openalex.org/W2264687894", "https://openalex.org/W2439633916", "https://openalex.org/W2555343527", "https://openalex.org/W2626968233", "https://openalex.org/W2796802168" ], "referenced_works_count": 19, "related_works": [ "https://openalex.org/W93789345", "https://openalex.org/W4255353219", "https://openalex.org/W2924840242", "https://openalex.org/W2472592816", "https://openalex.org/W2331266404", "https://openalex.org/W2279267307", "https://openalex.org/W2177518960", "https://openalex.org/W2003827594", "https://openalex.org/W1997209091", "https://openalex.org/W1989087147" ], "sustainable_development_goals": [ { "display_name": "Life on land", "score": 0.58, "id": "https://metadata.un.org/sdg/15" } ], "title": "Assessment of Forest Fragmentation in Southern New England Using Remote Sensing and Geographic Information Systems Technology", "topics": [ { "id": "https://openalex.org/T10005", "display_name": "Biodiversity Conservation and Ecosystem Management", "score": 0.9993, "subfield": { "id": "https://openalex.org/subfields/2309", "display_name": "Nature and Landscape Conservation" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T13388", "display_name": "Factors Affecting Sagebrush Ecosystems and Wildlife Conservation", "score": 0.9993, "subfield": { "id": "https://openalex.org/subfields/2303", "display_name": "Ecology" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10555", "display_name": "Impact of Climate Change on Forest Wildfires", "score": 0.9991, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } } ], "type": "article", "type_crossref": "journal-article", "updated_date": "2024-08-09T06:58:17.007153", "versions": [] }
}