Species Distribution Modelling: Contrasting presence-only models with plot abundance data.
Species Distribution Modelling: Contrasting presence-only models with plot abundance data.
复制标题
物种分布建模：与图丰度数据的仅形成鲜明的模型。
DOI：
10.1038/s41598-017-18927-1
复制
发表时间：
2018-01-17
影响因子：
4.6
通讯作者：
Ter Steege H
中科院分区：
文献类型：
--
作者：
Gomes VHF;IJff SD;Raes N;Amaral IL;Salomão RP;de Souza Coelho L;de Almeida Matos FD;Castilho CV;de Andrade Lima Filho D;López DC;Guevara JE;Magnusson WE;Phillips OL;Wittmann F;de Jesus Veiga Carim M;Martins MP;Irume MV;Sabatier D;Molino JF;Bánki OS;da Silva Guimarães JR;Pitman NCA;Piedade MTF;Mendoza AM;Luize BG;Venticinque EM;de Leão Novo EMM;Vargas PN;Silva TSF;Manzatto AG;Terborgh J;Reis NFC;Montero JC;Casula KR;Marimon BS;Marimon BH;Coronado ENH;Feldpausch TR;Duque A;Zartman CE;Arboleda NC;Killeen TJ;Mostacedo B;Vasquez R;Schöngart J;Assis RL;Medeiros MB;Simon MF;Andrade A;Laurance WF;Camargo JL;Demarchi LO;Laurance SGW;de Sousa Farias E;Nascimento HEM;Revilla JDC;Quaresma A;Costa FRC;Vieira ICG;Cintra BBL;Castellanos H;Brienen R;Stevenson PR;Feitosa Y;Duivenvoorden JF;Aymard C GA;Mogollón HF;Targhetta N;Comiskey JA;Vicentini A;Lopes A;Damasco G;Dávila N;García-Villacorta R;Levis C;Schietti J;Souza P;Emilio T;Alonso A;Neill D;Dallmeier F;Ferreira LV;Araujo-Murakami A;Praia D;do Amaral DD;Carvalho FA;de Souza FC;Feeley K;Arroyo L;Pansonato MP;Gribel R;Villa B;Licona JC;Fine PVA;Cerón C;Baraloto C;Jimenez EM;Stropp J;Engel J;Silveira M;Mora MCP;Petronelli P;Maas P;Thomas-Caesar R;Henkel TW;Daly D;Paredes MR;Baker TR;Fuentes A;Peres CA;Chave J;Pena JLM;Dexter KG;Silman MR;Jørgensen PM;Pennington T;Di Fiore A;Valverde FC;Phillips JF;Rivas-Torres G;von Hildebrand P;van Andel TR;Ruschel AR;Prieto A;Rudas A;Hoffman B;Vela CIA;Barbosa EM;Zent EL;Gonzales GPG;Doza HPD;de Andrade Miranda IP;Guillaumet JL;Pinto LFM;de Matos Bonates LC;Silva N;Gómez RZ;Zent S;Gonzales T;Vos VA;Malhi Y;Oliveira AA;Cano A;Albuquerque BW;Vriesendorp C;Correa DF;Torre EV;van der Heijden G;Ramirez-Angulo H;Ramos JF;Young KR;Rocha M;Nascimento MT;Medina MNU;Tirado M;Wang O;Sierra R;Torres-Lezama A;Mendoza C;Ferreira C;Baider C;Villarroel D;Balslev H;Mesones I;Giraldo LEU;Casas LF;Reategui MAA;Linares-Palomino R;Zagt R;Cárdenas S;Farfan-Rios W;Sampaio AF;Pauletto D;Sandoval EHV;Arevalo FR;Huamantupa-Chuquimaco I;Garcia-Cabrera K;Hernandez L;Gamarra LV;Alexiades MN;Pansini S;Cuenca WP;Milliken W;Ricardo J;Lopez-Gonzalez G;Pos E;Ter Steege H
物种分布模型在生态学和保护学中有着广泛的应用。MaxEnt等仅存在的SDM经常使用自然历史集合（NHC）作为发生数据，因为它们的数量和可访问性都很大。NHC通常在空间上有偏差，这可能导致SDM不准确。在这里，我们测试如何分布的NHCs和MaxEnt的预测与空间丰度模型，亚马逊树种的大型地块数据集的基础上，使用反距离加权（IDW）。我们还提出了一个新的管道，以处理不一致的NHC和限制的占用面积的物种。我们发现一个显着的，但弱的正相关关系的分布NHCs和IDW为66%的物种。SDM和IDW之间的关系也是显着的，但弱阳性的95%的物种，两种分析的灵敏度都很高。此外，管道删除了一半的NHC记录。仅存在的SDM应用程序应考虑到这一限制，特别是对于大型生物多样性评估项目，当它们自动生成而无需后续检查时。我们的管道提供了一个物种的占有面积的保守估计，在一个面积略大于其发生的程度，兼容，例如世界自然保护联盟红色名录评估。
Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs. Here, we test how the distribution of NHCs and MaxEnt predictions relates to a spatial abundance model, based on a large plot dataset for Amazonian tree species, using inverse distance weighting (IDW). We also propose a new pipeline to deal with inconsistencies in NHCs and to limit the area of occupancy of the species. We found a significant but weak positive relationship between the distribution of NHCs and IDW for 66% of the species. The relationship between SDMs and IDW was also significant but weakly positive for 95% of the species, and sensitivity for both analyses was high. Furthermore, the pipeline removed half of the NHCs records. Presence-only SDM applications should consider this limitation, especially for large biodiversity assessments projects, when they are automatically generated without subsequent checking. Our pipeline provides a conservative estimate of a species’ area of occupancy, within an area slightly larger than its extent of occurrence, compatible to e.g. IUCN red list assessments.
登录
查看更多内容
影响因子：
3.1
作者：
Giovanelli, Joao G. R.;de Siqueira, Marinez Ferreira;Alexandrino, Joao
通讯作者：
Alexandrino, Joao
影响因子：
3.7
作者：
Fourcade Y;Engler JO;Rödder D;Secondi J
通讯作者：
Secondi J
影响因子：
3
作者：
Boyle B;Hopkins N;Lu Z;Raygoza Garay JA;Mozzherin D;Rees T;Matasci N;Narro ML;Piel WH;McKay SJ;Lowry S;Freeland C;Peet RK;Enquist BJ
通讯作者：
Enquist BJ
影响因子：
5.1
作者：
Beck, Jan;Boeller, Marianne;Schwanghart, Wolfgang
通讯作者：
Schwanghart, Wolfgang
影响因子：
2.7
作者：
Fitzpatrick, Matthew C.;Gotelli, Nicholas J.;Ellison, Aaron M.
通讯作者：
Ellison, Aaron M.