Planning the priority protected areas of endangered orchid species in northeastern China

Wan, Ji-Zhong; Wang, Chun-Jing; Han, SangYoel; Yu, Jinghua

doi:10.1007/s10531-014-0671-0

Cited by 49 publications

(33 citation statements)

References 35 publications

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“…The exact latitude and longitude for each grid were recorded with a GPS system (Google, Mountain, CA, USA) [18,19]. Soil sample depth was 0-20 cm [3,4], taken from 3-7 plots (30 m × 30 m each) in each 30 km × 30 km grid (total grids = 52), and 3-7 plots were chosen based on the investigation areas.…”

Section: Field Soil Sampling and Preliminary Analysismentioning

confidence: 99%

Regional Scale Determinants of Nutrient Content of Soil in a Cold-Temperate Forest

Yuan

Tang

Wang

et al. 2018

Forests

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Abstract:The effect of climatic factors on soil nutrients is significant. Identifying whether soil nutrients respond to local climate and how the forest types modulate this responsiveness is critical for forest management. Therefore, six soil nutrients from five main forest types found for a range of sites within the Daxing'an Mountains, China, were investigated. Climatic factors were obtained from the WorldClim dataset. Pearson correlations and stepwise regressions were employed to elucidate and model the response of the six soil nutrients to the four different climatic factors in this study. On the whole, climate was correlated with all the nutrients. Further, from stepwise regressions, climatic factors could affect soil nutrients in distinct forests. Our findings suggest that climatic factors are instrumental in affecting soil nutrients in different forest types. Identifying the relationships between soil nutrients, climatic factors and forest types, as suggested in this research, can provide theoretical foundations to further comprehend nutrient cycling in the forest ecosystem.

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Section: Field Soil Sampling and Preliminary Analysismentioning

confidence: 99%

Regional Scale Determinants of Nutrient Content of Soil in a Cold-Temperate Forest

Yuan

Tang

Wang

et al. 2018

Forests

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“…Recently, many conservation biologists and ecologists have used ecological niche modelling (ENM) in combination with conservation planning software to identify PCAs for endemic, threatened and endangered plant species under climate change conditions (Pérez and Font 2012, Wan et al 2014, Adams-Hosking et al 2015. ENMs, which are based on occurrence records and climatic variables, are widely used to predict spatial distribution patterns of species diversity (Merow et al 2013, Adams-Hosking et al 2015.…”

Section: Introductionmentioning

confidence: 99%

“…Conservation planning software is commonly used to generate a spatial conservation framework that can be used to prioritise large-scale conservation projects that involve numerous species or to identify the most effective conservation areas that will capture target species, as predicted by the results of ENMs (Moilanen 2007, Di Minin and Moilanen 2012, Lehtomäki and Moilanen 2013, Wan et al 2014, Abrahms et al 2017. The ability of existing or proposed nature reserves to protect threatened plants can be evaluated using ENMs and conservation planning software and new conservation areas could be designated in order to respond to climate change effects (Wan et al 2014, Wang et al 2016. In this way, the plant conservation effectiveness of a network of nature reserves can be maximised under climate change conditions , Wang et al 2016, Abrahms et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Planning priority conservation areas under climate change for six plant species with extremely small populations in China

QingBiao¹,

Wang²,

Zhang³

2018

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The concept of Plant Species with Extremely Small Populations (PSESP) has been employed to guide conservation of threatened plant species in China. Climate change has a high potential to threaten PSESP. As a result, it is necessary to integrate climate change effects on PSESP into conservation planning in China. Here, ecological niche modelling is used to project current and future habitat distributions of six PSESP in China under climate change scenarios and conservation planning software is applied to identify priority conservation areas (PCAs) for these PSESP based on habitat distributions. These results were used to provide proposals for in-situ and ex-situ conservation measures directed at PSESP. It was found that annual precipitation was important for habitat distributions for all six PSESP (with the percentage contribution to habitat distributions ranging from 18.1 % to 74.9 %) and non-climatic variables including soil and altitude have a large effect on habitat suitability of PSESP. Large quantities of PCAs occurred within some provincial regions for these six PSESP (e.g. Sichuan and Jilin for the PSESP Cathaya argyrophylla, Taxus cuspidata, Annamocarya sinensis and Madhuca pasquieri), indicating that these are likely to be appropriate areas for in-situ and ex-situ conservation measures directed at these PSESP. Those nature reserves with large quantities of PCAs were identified as promising sites for in-situ conservation measures of PSESP; such reserves include Yangzie and Dongdongtinghu for C. argyrophylla, Songhuajiangsanhu and Changbaishan for T. cuspidata and Shiwandashanshuiyuanlian for Tsoongiodendron odorum. These results suggest RESEARCH ARTICLE Launched to accelerate biodiversity conservation A peer-reviewed open-access journalHong Qu et al. / Nature Conservation 25: 89-106 (2018) 1 that existing seed banks and botanical gardens occurring within identified PCAs should allocate more resources and space to ex-situ conservation of PSESP. In addition, there should be additional botanical gardens established for ex-situ conservation of PSESP in PCAs outside existing nature reserves. To address the risk of negative effects of climate change on PSESP, it is necessary to integrate in-situ and ex-situ conservation as well as climate change monitoring in PSESP conservation planning.

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“…Uno de los modelos más eficientes en la predicción de distribución espacial de especies es el modelo Maxent (Phillips, Dudík, & Schapire, 2006;Lehtomäki & Moilanen, 2013). El cual ha sido usado exitosamente para estimar la distribución de la familia Orchidaceae (Wan, Wang, Han, & Yu, 2014).…”

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“…Así mismo, la destrucción de su hábitat por fenó-menos humanos y meteorológicos (HerreraCabrera et al, 2012) vulneró fuertemente a la especie en su entorno natural. Por lo anterior, un conocimiento detallado de la distribución actual de la especie es un requisito previo para utilizar y conservar el recurso genético dentro de un ecosistema (Barik & Adhikari, 2011;Wan et al, 2014). En función de lo anterior, el objetivo del presente estudio fue ubicar y definir las características ecológicas de las zonas potenciales donde se pueda desarrollar V. planifolia J., en el estado de Oaxaca, México.…”

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Potential distribution and geographic characteristics of wild populations of Vanilla planifolia (Orchidaceae) Oaxaca, Mexico

Hernández-Ruíz

Herrera-Cabrera

Delgado-Alvarado

et al. 2016

RBT

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Wild specimens of Vanilla planifolia represent a vital part of this resource primary gene pool, and some plants have only been reported in Oaxaca, Mexico. For this reason, we studied its geographical distribution within the state, to locate and describe the ecological characteristics of the areas where they have been found, in order to identify potential areas of establishment. The method comprised four stages: 1) the creation of a database with herbarium records, 2) the construction of the potential distribution based on historical herbarium records for the species, using the model of maximum entropy (MaxEnt) and 22 bioclimatic variables as predictors; 3) an in situ systematic search of individuals, based on herbarium records and areas of potential distribution in 24 municipalities, to determine the habitat current situation and distribution; 4) the description of the environmental factors of potential ecological niches generated by MaxEnt. A review of herbarium collections revealed a total of 18 records of V. planifolia between 1939 and 1998. The systematic search located 28 plants distributed in 12 sites in 95 364 Km2. The most important variables that determined the model of vanilla potential distribution were: precipitation in the rainy season (61.9 %), soil moisture regime (23.4 %) and precipitation during the four months of highest rainfall (8.1 %). The species potential habitat was found to be distributed in four zones: wet tropics of the Gulf of Mexico, humid temperate, humid tropical, and humid temperate in the Pacific. Precipitation oscillated within the annual ranges of 2 500 to 4 000 mm, with summer rains, and winter precipitation as 5 to 10 % of the total. The moisture regime and predominating climate were udic type I (330 to 365 days of moisture) and hot humid (Am/A(C) m). The plants were located at altitudes of 200 to 1 190 masl, on rough hillsides that generally make up the foothills of mountain systems, with altitudes of 1 300 to 2 500 masl. In natural conditions, distribution of the species is not limited to high evergreen forests, since it was also found in mountain mesophyll and tropical evergreen forests. The location of new specimens of V. planifolia in its wild condition reduces the potential distribution area by 66 %. This area is fragmented into three geographically separated areas. Habitat reduction was due to the increased number of located plants that define the environmental conditions into a more accurate level. Conservation actions can thus be designed and implemented, focusing on more specific areas within the state of Oaxaca, Mexico.

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Planning the priority protected areas of endangered orchid species in northeastern China

Cited by 49 publications

References 35 publications

Regional Scale Determinants of Nutrient Content of Soil in a Cold-Temperate Forest

Regional Scale Determinants of Nutrient Content of Soil in a Cold-Temperate Forest

Planning priority conservation areas under climate change for six plant species with extremely small populations in China

Potential distribution and geographic characteristics of wild populations of Vanilla planifolia (Orchidaceae) Oaxaca, Mexico

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