Pub Date : 2024-05-08DOI: 10.1007/s42965-024-00353-w
Yan Wenbo, Zeng Zhigao, Wang Hesheng, Wang Qi, Fu Yunnan
In recent years, Hainan Eld’s deer (Cervus eldi) population in the Datian Nature Reserve (DNR) has been decreasing. This may be due to predation by Burmese python (Python bivittatus), as the number of Eld’s deer predation events by Burmese pythons has increased since 2013. This poses huge pressure on the DNR that is mainly involved in the conservation of wild Eld’s deer population. We divided the changes in deer population size in the DNR into three time periods (1988–1992, 1999–2003, and 2015–2019) according to changes in the number of Burmese pythons. We analyzed changes of Eld’s deer population in the Wenchang conservation station (WNR) for the period 2010–2018. In the DNR, Eld’s deer population increased from 242 to 349 during 1988–1992 in the absence of Burmese python. When there were few Burmese pythons in the region in 1999–2003, Eld’s deer population increased from 702 to 1075. In 2015–2019, when the number of migrating Burmese pythons captured was the greatest, Eld’s deer population decreased from 306 to 223, and the mean annual growth rate was − 6.21%. As predation by Burmese pythons decreases the survival rate of Eld’s deer fawns in the DNR, the growth rate of Eld’s deer population was significantly affected. Our results indicated that predation by Burmese python is currently a key factor affecting the growth of Eld’s deer population.
{"title":"Effects of Burmese python predation on Hainan Eld’s deer population","authors":"Yan Wenbo, Zeng Zhigao, Wang Hesheng, Wang Qi, Fu Yunnan","doi":"10.1007/s42965-024-00353-w","DOIUrl":"https://doi.org/10.1007/s42965-024-00353-w","url":null,"abstract":"<p>In recent years, Hainan Eld’s deer (<i>Cervus eldi</i>) population in the Datian Nature Reserve (DNR) has been decreasing. This may be due to predation by Burmese python (<i>Python bivittatus</i>), as the number of Eld’s deer predation events by Burmese pythons has increased since 2013. This poses huge pressure on the DNR that is mainly involved in the conservation of wild Eld’s deer population. We divided the changes in deer population size in the DNR into three time periods (1988–1992, 1999–2003, and 2015–2019) according to changes in the number of Burmese pythons. We analyzed changes of Eld’s deer population in the Wenchang conservation station (WNR) for the period 2010–2018. In the DNR, Eld’s deer population increased from 242 to 349 during 1988–1992 in the absence of Burmese python. When there were few Burmese pythons in the region in 1999–2003, Eld’s deer population increased from 702 to 1075. In 2015–2019, when the number of migrating Burmese pythons captured was the greatest, Eld’s deer population decreased from 306 to 223, and the mean annual growth rate was − 6.21%. As predation by Burmese pythons decreases the survival rate of Eld’s deer fawns in the DNR, the growth rate of Eld’s deer population was significantly affected. Our results indicated that predation by Burmese python is currently a key factor affecting the growth of Eld’s deer population.</p>","PeriodicalId":54410,"journal":{"name":"Tropical Ecology","volume":"159 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140935379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-07DOI: 10.1007/s42965-024-00355-8
Aditya Pradhan, Sarala Khaling
{"title":"Correction: Structure, composition, and regeneration status of trees in non-protected forests of Eastern Himalaya","authors":"Aditya Pradhan, Sarala Khaling","doi":"10.1007/s42965-024-00355-8","DOIUrl":"https://doi.org/10.1007/s42965-024-00355-8","url":null,"abstract":"","PeriodicalId":54410,"journal":{"name":"Tropical Ecology","volume":"26 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-06DOI: 10.1007/s42965-024-00350-z
Marinaldo Loures Ferreira, Ronnie Von Dos Santos Veloso, Gildriano Soares De Oliveira, Renan Batista Queiroz, Fausto Henrique Vieira Araújo, André Medeiros De Andrade, Ricardo Siqueira Da Silva
Coffee is a crucial crop for the economy of several countries. It contributes substantially to the livelihoods of millions of small producers worldwide. Coffea canephora represents 40% of the world's production of beans. Coffea canephora is a perennial crop, it is sensitive to climate, and several production areas in Brazil may become unfit for C. canephora cultivation due to expected climate change. Thus, knowledge of the temporal dynamics of favorable climate conditions for C. canephora in Brazil is necessary. This work aims to elaborate the CLIMEX model to predict the climatic suitability for C. canephora in Brazil in the current climate and front of climate changes for 2030, 2050, 2070, and 2100. The model shows a good agreement between the density and the growth rate of the species, which indicates significant reliability of the results in the proposed model. Our modeling results show that there has been a reduction in the areas very favorable to C. Canephora over the years, in the North, Southeast, and the entire east coast of the Northeast regions. Compared to the current scenario, the model projection reduces by 49, 73, 82, and 88% in 2030, 2050, 2070, and 2100, respectively. The results may help long-term planning strategies to mitigate the economic effects of the climate change scenario on C. canephora production in Brazil.