Landscape heterogeneity: concepts, quantification, challenges and future perspectives
The intrinsic complexity, variety of concepts and numerous ways to quantify landscape heterogeneity (LH) may hamper a better understanding of how its components relate to ecological phenomena. Our study is the first to synthesize understanding of this concept and to provide the state of the art on t...
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| Published in | Environmental conservation Vol. 50; no. 2; pp. 83 - 92 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Cambridge, UK
Cambridge University Press
01.06.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0376-8929 1469-4387 |
| DOI | 10.1017/S0376892923000097 |
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| Abstract | The intrinsic complexity, variety of concepts and numerous ways to quantify landscape heterogeneity (LH) may hamper a better understanding of how its components relate to ecological phenomena. Our study is the first to synthesize understanding of this concept and to provide the state of the art on the subject based on a comprehensive systematic literature review of 661 articles published between 1982 and 2019. Definitions, terminologies and measurements of LH were diverse and conflicting. Most articles (534 out of 661) did not provide any definition for LH, and we found great variation among the studies that did. According to our review, only 10 studies measured the effects of different land-cover types on biotic or abiotic processes (functional LH). The remaining 651 studies measured physical attributes of the landscape without mentioning that different land-cover types may impact biotic and abiotic processes differently (structural LH). The metrics most frequently used to represent LH were the Shannon diversity index and proportion of land-cover type. Most metrics used as proxies of LH also coincided with those used to represent non-heterogeneity metrics, such as fragmentation and connectivity. We identify knowledge gaps, indicate future perspectives and propose guidelines that should be addressed when researching LH. |
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| AbstractList | The intrinsic complexity, variety of concepts and numerous ways to quantify landscape heterogeneity (LH) may hamper a better understanding of how its components relate to ecological phenomena. Our study is the first to synthesize understanding of this concept and to provide the state of the art on the subject based on a comprehensive systematic literature review of 661 articles published between 1982 and 2019. Definitions, terminologies and measurements of LH were diverse and conflicting. Most articles (534 out of 661) did not provide any definition for LH, and we found great variation among the studies that did. According to our review, only 10 studies measured the effects of different land-cover types on biotic or abiotic processes (functional LH). The remaining 651 studies measured physical attributes of the landscape without mentioning that different land-cover types may impact biotic and abiotic processes differently (structural LH). The metrics most frequently used to represent LH were the Shannon diversity index and proportion of land-cover type. Most metrics used as proxies of LH also coincided with those used to represent non-heterogeneity metrics, such as fragmentation and connectivity. We identify knowledge gaps, indicate future perspectives and propose guidelines that should be addressed when researching LH. |
| Author | Ribeiro, Milton C Tavares, André LB Anunciação, Paula R Tonetti, Vinicius Pena, João Carlos Scarpelli, Marina DA Santos, Paloma M Sugai, Larissa SM Barros, Fábio M |
| Author_xml | – sequence: 1 givenname: Vinicius orcidid: 0000-0003-2263-5608 surname: Tonetti fullname: Tonetti, Vinicius email: v.tonetti@unesp.br organization: São Paulo State University (UNESP), Institute of Biosciences, Department of Biodiversity, Rio Claro, São Paulo, Brazil – sequence: 2 givenname: João Carlos surname: Pena fullname: Pena, João Carlos organization: São Paulo State University (UNESP), Institute of Biosciences, Department of Biodiversity, Rio Claro, São Paulo, Brazil – sequence: 3 givenname: Marina DA surname: Scarpelli fullname: Scarpelli, Marina DA organization: Queensland University of Technology, Computer Science School, Science Faculty, Brisbane, Australia – sequence: 4 givenname: Larissa SM surname: Sugai fullname: Sugai, Larissa SM organization: Universidad Autónoma de Madrid, Departamento de Ecología, Terrestrial Ecology Group (TEG), Madrid, Spain – sequence: 5 givenname: Fábio M surname: Barros fullname: Barros, Fábio M organization: Consultoria, Planejamento e Estudo Ambientais (CPEA), São Paulo, Brazil – sequence: 6 givenname: Paula R surname: Anunciação fullname: Anunciação, Paula R organization: Biology Department, UFLA – Federal University of Lavras, Lavras, Minas Gerais, Brazil – sequence: 7 givenname: Paloma M surname: Santos fullname: Santos, Paloma M organization: Instituto de Pesquisa e Conservação de Tamanduás no Brasil, Parnaíba, Piauí, Brazil – sequence: 8 givenname: André LB surname: Tavares fullname: Tavares, André LB organization: São Paulo State University (UNESP), Institute of Biosciences, Department of Biodiversity, Rio Claro, São Paulo, Brazil – sequence: 9 givenname: Milton C surname: Ribeiro fullname: Ribeiro, Milton C organization: São Paulo State University (UNESP), Institute of Biosciences, Department of Biodiversity, Rio Claro, São Paulo, Brazil |
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| CitedBy_id | crossref_primary_10_1093_molbev_msae027 crossref_primary_10_1016_j_apgeog_2024_103431 crossref_primary_10_1002_ajp_23588 crossref_primary_10_1007_s11769_025_1495_4 crossref_primary_10_1002_ldr_5415 crossref_primary_10_3390_land14020244 crossref_primary_10_1371_journal_pone_0300968 crossref_primary_10_3390_land14020421 crossref_primary_10_1016_j_pecon_2024_12_004 crossref_primary_10_1016_j_landusepol_2024_107438 |
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