CN109952907B - Method for screening recovery species of tropical coral island vegetation based on functional characters - Google Patents
Method for screening recovery species of tropical coral island vegetation based on functional characters Download PDFInfo
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G17/00—Cultivation of hops, vines, fruit trees, or like trees
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- A—HUMAN NECESSITIES
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
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Abstract
The invention discloses a method for screening recovery species of tropical coral island vegetation based on functional characters, which comprises the following steps: selecting a target species, and detecting data of the anti-adversity biological functional traits of the target species; selecting alternative species, and detecting data of the anti-adversity biological functional traits of the alternative species; constructing a vegetation recovery species screening model based on plant biological functional traits; importing the data of the anti-adversity biological functional character of the target species and the data of the anti-adversity biological functional character of the candidate species into a vegetation recovery species screening model; and (3) carrying out similarity matching on the data of the anti-adversity biological functional traits of the candidate species and the data of the anti-adversity biological functional traits of the target species, and screening out potential vegetation recovery species. By the method, suitable vegetation species for vegetation recovery can be rapidly screened out.
Description
Technical Field
The invention relates to the field of environmental ecological restoration, in particular to a method for screening recovery species of vegetation of a tropical coral island based on functional characters.
Background
The sea island is an important component of a marine ecosystem, and the resource development and utilization of the sea island are related to the sustainable development of a country. China is a big ocean, the territorial area of the territorial sea reaches 396 ten thousand square kilometers, and a plurality of islands exist, wherein 6536 islands with the area of more than 500 square meters exist. The vegetation is one of the basic composition elements of the sea island, has the functions of supplying and regulating the ecological system, is the basis for human beings and other animals to live on, is also the basis for the livable and sustainable development of the sea island, and compared with the land ecological system, most of the sea island have small area, the environment is closed, and the ecological system is fragile and easy to degrade.
Tropical coral islands are a special island ecosystem in the sea, and plants are extremely difficult to grow and settle due to extreme environmental characteristics such as high salt, strong alkali, high temperature, strong light, seasonal drought, impoverishment, multiple winds and the like, and natural vegetation is difficult to form and grows. Therefore, artificial assistance in vegetation establishment is the only reliable way at present. The selection of the suitable plants is the important part of the recovery work of the vegetation of the tropical coral island, and has high necessity and urgency. Species selection is the key to success of new construction of the tropical coral island vegetation, and besides, is influenced by aspects of soil, moisture conditions, artificial care, species selection and the like, and how to screen vegetation which can be suitable for living on the tropical coral island becomes the basis for new construction of the tropical coral island vegetation.
Disclosure of Invention
The invention aims to provide a method for screening tropical coral island vegetation recovery species based on functional traits, and the method can be used for rapidly screening out the appropriate vegetation species for vegetation recovery.
The technical scheme is as follows:
the invention discloses a method for screening recovery species of tropical coral island vegetation based on functional traits, which comprises the following steps:
selecting a target species, and detecting data of the anti-adversity biological functional traits of the target species;
selecting alternative species, and detecting data of the anti-adversity biological functional traits of the alternative species;
constructing a vegetation recovery species screening model based on plant biological functional traits;
importing the data of the anti-adversity biological functional character of the target species and the data of the anti-adversity biological functional character of the candidate species into a vegetation recovery species screening model;
and (3) carrying out similarity matching on the data of the anti-adversity biological functional traits of the candidate species and the data of the anti-adversity biological functional traits of the target species, and screening out potential vegetation recovery species.
Similarity matching is carried out on the data of the anti-adversity biological functional traits of the candidate species and the data of the anti-adversity biological functional traits of the target species, and potential vegetation recovery species are screened out, specifically:
carrying out similarity matching on the data of the anti-adversity biological functional traits of the candidate species and the data of the anti-adversity biological functional traits of the target species;
sorting the data of the anti-adversity biological functional traits of the candidate species from high to low according to the similarity of the data of the anti-adversity biological functional traits of the target species;
and selecting the top three alternative species as potential vegetation recovery species.
The anti-adversity biological functional traits of the target species and the candidate species comprise: high temperature resistance, strong radiation resistance, drought resistance and salt and alkali resistance.
The data for detecting the anti-adversity biological functional traits of the target species are specifically as follows:
detecting functional trait data for morphological anatomical features of the target species;
detecting functional character data of the antioxidant capacity of the target species;
detecting functional character data of drought resistance of target species;
and detecting functional trait data of photosynthesis of the target species.
The data for detecting the anti-adversity biological functional traits of the alternative species are specifically as follows:
detecting functional trait data for morphological anatomical features of the candidate species;
detecting functional trait data of antioxidant capacity of the candidate species;
detecting functional trait data of drought resistance of alternative species;
and (3) detecting functional trait data of photosynthesis of the candidate species.
Preparing leaves, stems and leaves of the species, and observing functional character data of morphological and anatomical characteristics of the species under a microscope; colorimetric detecting functional character data of oxidation resistance and functional character data of drought resistance of the species by adopting a spectrophotometer; functional trait data for photosynthesis of the species is detected by employing a photosynthesis assay system.
The target species is a plant capable of surviving and growing on tropical coral islands, and the candidate species is a plant growing in the tropics and subtropics.
The target species include casuarina equisetifolia, pittosporum pratense, jack-knife bean and cynodon dactylon.
The following illustrates the advantages or principles of the invention:
1. the method comprises the steps of importing the data of the anti-adversity biological functional character of a target species and the data of the anti-adversity biological functional character of a candidate species into a vegetation recovery species screening model, carrying out similarity matching on the data of the anti-adversity biological functional character of the candidate species and the data of the anti-adversity biological functional character of the target species by the vegetation recovery species screening model, screening out potential vegetation recovery species from the candidate species, carrying out further trial planting and field inspection on the screened potential vegetation recovery species, carrying out further verification on the screened potential vegetation recovery species, rapidly screening the vegetation recovery species by the method, and being high in screening efficiency and success rate of selection of the vegetation recovery species.
2. And sorting the similarity of the data of the anti-reversion biological functional traits of the candidate species and the data of the anti-reversion biological functional traits of the target species from top to bottom, and selecting the candidate species with the first three ranks as potential vegetation recovery species.
3. The soil salinity and alkalinity of the tropical coral island are high, the water retention capacity is poor, the tropical coral island has high temperature and strong light climate environmental conditions, the high temperature resistance functional property, the strong radiation resistance functional property, the drought resistance functional property and the saline and alkaline resistance functional property of a target species and an alternative species are detected, the alternative species screened by detecting the 4 functional properties have better adaptability to the soil and the climate environmental conditions of the tropical coral island, and can better survive and grow on the tropical coral island.
4. The target species selects plants capable of growing on the tropical coral island, and after the alternative species are screened, the similarity of the anti-reverse biological characters of the alternative species and the target species is higher, and the survival probability of the alternative species on the tropical coral island is higher.
Drawings
Fig. 1 is a flowchart of the present embodiment.
Detailed Description
The following provides a detailed description of embodiments of the invention.
As shown in fig. 1, the present embodiment discloses a method for screening a tropical coral island vegetation recovery species based on functional traits, which comprises the following steps:
s10, selecting a target species, and detecting the data of the anti-adversity biological functional traits of the target species;
s20, selecting alternative species, and detecting the data of the anti-adversity biological functional traits of the alternative species;
s30, constructing a vegetation recovery species screening model based on the plant biological functional traits;
s40, importing the data of the anti-adversity biological functional character of the target species and the data of the anti-adversity biological functional character of the candidate species into a vegetation recovery species screening model;
and S50, performing similarity matching on the data of the anti-adversity biological functional traits of the candidate species and the data of the anti-adversity biological functional traits of the target species, and screening out potential vegetation recovery species.
The vegetation recovery species screening model based on plant biological functional traits of the embodiment is based on the theory of Deniel C.Laughlin (Ecology Letters2014,17: 771-.
The plant biological function traits refer to plant characteristics which are easy to observe or measure, are the results of adapting to different environments in the long-term evolution process of species, and can objectively express the adaptability of plants to external environments.
When the method is used for screening the recovering species of the vegetation of the tropical coral island, the target species are plants which can survive and grow on the tropical coral island, the target species can be casuarina equisetifolia, pittosporum pratense, jack-knife bean and cynodon dactylon, and the alternative species are plants which grow in the tropical zone and the subtropical zone, and are different plant species such as woody, liana or herbaceous plants.
In this embodiment, the similarity matching is performed between the data of the anti-adversity biological functional trait of the candidate species and the data of the anti-adversity biological functional trait of the target species, so as to screen out potential vegetation recovery species, specifically:
carrying out similarity matching on the data of the anti-adversity biological functional traits of the candidate species and the data of the anti-adversity biological functional traits of the target species;
sorting the data of the anti-adversity biological functional traits of the candidate species from high to low according to the similarity of the data of the anti-adversity biological functional traits of the target species;
and selecting the top three alternative species as potential vegetation recovery species.
The tropical coral island has high soil salinity and alkalinity and poor water retention capacity, and the tropical coral island has climatic environment conditions such as high temperature and strong light, and the anti-reverse biological functional properties of the target species and the anti-reverse biological functional properties of the candidate species in the embodiment both include: high temperature resistance, strong radiation resistance, drought resistance and salt and alkali resistance.
The high-temperature resistant functional characters of the species are mainly obtained by detecting the leaf structure, the malondialdehyde content and the like of the plant, the strong radiation resistant functional characters are mainly obtained by detecting the pigment content, the photosynthesis and the like of the plant, the drought resistant functional characters are mainly obtained by detecting the stomatal characteristics, the proline content and the like of the plant, and the salt and alkali resistant functional characters are mainly obtained by detecting the antioxidant capacity and the like of the plant.
The data for detecting the anti-adversity biological functional trait of the target species in this embodiment specifically include:
detecting functional trait data for morphological anatomical features of the target species;
detecting functional character data of the antioxidant capacity of the target species;
detecting functional character data of drought resistance of target species;
and detecting functional trait data of photosynthesis of the target species.
The data for detecting the anti-adversity biological functional traits of the candidate species in this embodiment specifically include:
detecting functional trait data for morphological anatomical features of the candidate species;
detecting functional trait data of antioxidant capacity of the candidate species;
detecting functional trait data of drought resistance of alternative species;
and (3) detecting functional trait data of photosynthesis of the candidate species.
The functional property data for detecting morphological and anatomical features of the target species and the candidate species in the embodiment includes: selecting healthy and mature leaves of species, preparing leaves and stem sections by a bare-handed slicing method, observing and detecting the leaf thickness, the fence tissue thickness, the sponge tissue thickness, the cutin layer thickness, the air hole length, the air hole density, the conduit diameter and the density of the leaves by a microscope, and calculating indexes such as specific leaf area, leaf dry matter content and the like by using a leaf area measuring instrument; in the embodiment, a ketone leaching method, a guaiacol color development method, a nitroblue tetrazole reduction method, an ultraviolet absorption method, an FRAP method, a Folin phenol colorimetric method, a ninhydrin colorimetric method, a high performance liquid chromatography method, a thiobarbituric acid method, an indophenol blue colorimetric method, a thalalin method and a molybdenum-antimony colorimetric method are adopted to measure the pigment content, the antioxidant capacity (antioxidant activity, total antioxidant capacity and total phenol content), the proline content, the abscisic acid content, the malonaldehyde content, the main nutrient elements (carbon, nitrogen and phosphorus content) and the like of the leaves; the photosynthetic indicators (maximum photosynthetic rate, stomatal conductance, transpiration rate, instantaneous water utilization efficiency, etc.) of the plants were measured in vivo using a photosynthesis measurement system.
The following example illustrates the use of this example to screen for vegetation recovery species on tropical coral islands with the target species being pittosporum tobira.
Tung-sea, also known as Yangtze trees, water plants, thin-leaf water plants, perennial evergreen sub-shrub plants, occasionally small trees, which are typical coastal plants, usually grow on open-seashore sand or coastal cliff. The pittosporum tobira stem is upright or scattered, the branches are hollow, the branches can root, the branches are smooth and hairless, and white beard hair is densely generated at the axilla of the leaf. The leaves are slightly fleshy and spirally arranged, most of the leaves are concentrated at the top ends of the branches, are rather like erythrina, have no handle or short handles, are spoon-shaped to inverted egg-shaped, are 10-22cm long and 4-8cm wide, have wedge-shaped bases, are round and blunt at the top ends, are truncated or slightly concave, are wavy at the whole edges or edges, and have no hair or loose and soft hair at the back. The polypodium axillaries grow 1.5-3cm, and the base part has long beard hair; joints are arranged between the pedicel and the flower; the calyx is hairless, the barrel part is inverted into an egg shape, and the splinters are in a needle shape and are 2.5mm long; the corolla is white or light yellow, the length of the corolla is about 2cm, the cylindrical part is slender, the rear part of the cylindrical part is cracked to the base part, the style of the flower extends out from the crack, and irregular edge hair is generated at the edge of the petal. The fruit is an egg-shaped stone fruit which is white, two radial grooves divide the fruit into 2 chambers, each chamber is provided with one seed, and the flowering period is 4-12 months. The pittosporum tobira has unique flower type and beautiful tree shape, can be developed as a garden ornamental plant, has rapid growth and strong adaptability, and can also be used as an important tree species of wind-prevention and sand-fixation vegetations in islands and coastal zones.
The method for screening the recovered species of the vegetation in the tropical coral island based on the functional traits comprises the following steps:
selecting pittosporum tobira as a target species, and detecting data of the anti-adversity biological functional character of the pittosporum tobira;
selecting alternative species, wherein the alternative species are 50-60 common tropical and subtropical greening plants, the alternative species comprise jack fruit, broad bud chrysanthemum, camomile, sea mango, thick vine, thick skin banyan and the like, and the data of the anti-adversity biological functional traits of the alternative species are respectively detected;
constructing a vegetation recovery species screening model based on plant biological functional traits, importing the data of the anti-adversity biological functional traits of the pittosporum tobira into the vegetation recovery species screening model, and importing the data of the anti-adversity biological functional traits of the alternative species into the vegetation recovery species screening model;
similarity matching is carried out on the data of the anti-reverse biological functional characters of the candidate species and the data of the anti-reverse biological functional characters of the pittosporum tobira, the first three bits with high similarity are screened out and are respectively jackfruit, broad bud chrysanthemum and rubia camara, the jackfruit, the broad bud chrysanthemum and the rubia camara are used as potential vegetation recovery species of the tropical coral island for test planting, and the jackfruit, the broad bud chrysanthemum and the rubia camara grow well after the test planting for one year.
The following example illustrates the use of this example to screen vegetation recovery species on tropical coral islands with the target species Yangjiang Bermuda grass.
Yangjiang bermuda grass (Cynodon dactylon 'Yangjiang') is a cultivated variety of bermuda grass, is perennial low dwarf vegetation, is bred from a wild bermuda grass seed source in Yangjiang area in Guangdong province, and is successfully applied to greening of east saline-alkali soil, sports lawns, soil-conserving lawns and recovering of vegetation in tropical coral islands in China. The variety has developed stolons and rhizomes, the natural height of a grass layer is 10-15cm, the stolons are brown, the internode length is 1.9-2.5cm, the internode diameter is 0.7-0.9mm, the leaf length is 2.8-3.5cm, the leaf width is 1.8-2.2mm, the leaves are dark green, 3-5 panicles are grown on the top of a rod in finger-shaped clusters, the height is 9-12cm, the length of the inflorescence is 2.3-2.8cm, the length of a spikelet is 1.9-2.2mm, the stigma is light purple, the period of 6-7 months is the peak period of flowering, and a small amount of inflorescence is opened in 9-10 months.
The method for screening the recovered species of the vegetation in the tropical coral island based on the functional traits comprises the following steps:
selecting Yangjiang bermudagrass as a target species, and detecting data of the anti-stress biological functional characters of the Yangjiang bermudagrass;
selecting alternative species, wherein the alternative species are 50-60 common tropical and subtropical greening plants, the alternative species comprise jack fruit, broad leaf chrysanthemum, camomile, sea mango, thick vine, thick skin banyan, bristles thorns, miscanthus sinensis, spikemoss capillipes and the like, and the data of the anti-adversity biological functional traits of the alternative species are respectively detected;
constructing a vegetation recovery species screening model based on plant biological functional characters, importing the data of the anti-adversity biological functional characters of Yangjiang bermudagrass into the vegetation recovery species screening model, and importing the data of the anti-adversity biological functional characters of alternative species into the vegetation recovery species screening model;
similarity matching is carried out on the data of the anti-reverse biological functional character of the candidate species and the data of the anti-reverse biological functional character of Yangjiang bermudagrass, the first three bits with high similarity are screened out, wherein the first three bits are bristles thorns, miscanthus sinensis and spikemoss capillipes, bristles thorns, miscanthus sinensis and spikemoss capillipes are used as potential vegetation recovery species of the tropical coral island for trial planting, and the bristles thorns, the miscanthus sinensis and the spikemoss capillipes grow well after the trial planting for one year.
The advantages or principles of the present embodiment are explained below:
1. the method comprises the steps of importing the data of the anti-adversity biological functional character of a target species and the data of the anti-adversity biological functional character of a candidate species into a vegetation recovery species screening model, carrying out similarity matching on the data of the anti-adversity biological functional character of the candidate species and the data of the anti-adversity biological functional character of the target species by the vegetation recovery species screening model, screening out potential vegetation recovery species from the candidate species, carrying out further trial planting and field inspection on the screened potential vegetation recovery species, carrying out further verification on the screened potential vegetation recovery species, rapidly screening the vegetation recovery species by the method, and being high in screening efficiency and success rate of selection of the vegetation recovery species.
2. And sorting the similarity of the data of the anti-reversion biological functional traits of the candidate species and the data of the anti-reversion biological functional traits of the target species from top to bottom, and selecting the candidate species with the first three ranks as potential vegetation recovery species.
3. The soil salinity and alkalinity of the tropical coral island are high, the water retention capacity is poor, the tropical coral island has high temperature and strong light climate environmental conditions, the high temperature resistance functional property, the strong radiation resistance functional property, the drought resistance functional property and the saline and alkaline resistance functional property of a target species and an alternative species are detected, the alternative species screened by detecting the 4 functional properties have better adaptability to the soil and the climate environmental conditions of the tropical coral island, and can better survive and grow on the tropical coral island.
4. The target species selects plants capable of growing on the tropical coral island, and after the alternative species are screened, the similarity of the anti-reverse biological characters of the alternative species and the target species is higher, and the survival probability of the alternative species on the tropical coral island is higher.
The above are merely specific embodiments of the present invention, and the scope of the present invention is not limited thereby; any alterations and modifications without departing from the spirit of the invention are within the scope of the invention.
Claims (7)
1. A method for screening recovery species of vegetation in tropical coral islands based on functional traits is characterized by comprising the following steps:
selecting a target species, and detecting data of the anti-adversity biological functional traits of the target species;
selecting alternative species, and detecting data of the anti-adversity biological functional traits of the alternative species;
constructing a vegetation recovery species screening model based on plant biological functional traits;
importing the data of the anti-adversity biological functional character of the target species and the data of the anti-adversity biological functional character of the candidate species into a vegetation recovery species screening model;
carrying out similarity matching on the data of the anti-adversity biological functional traits of the candidate species and the data of the anti-adversity biological functional traits of the target species;
sorting the data of the anti-adversity biological functional traits of the candidate species from high to low according to the similarity of the data of the anti-adversity biological functional traits of the target species;
and selecting the top three alternative species as potential vegetation recovery species.
2. The method for screening the tropical coral island vegetation recovery species based on the functional traits of claim 1, wherein the anti-adversity biological functional traits of the target species and the anti-adversity biological functional traits of the candidate species each comprise: high temperature resistance, strong radiation resistance, drought resistance and salt and alkali resistance.
3. The method for screening the tropical coral island vegetation recovery species based on the functional traits of claim 1, wherein the data of the anti-adversity biological functional traits of the target species are detected, and specifically:
detecting functional trait data for morphological anatomical features of the target species;
detecting functional character data of the antioxidant capacity of the target species;
detecting functional character data of drought resistance of target species;
and detecting functional trait data of photosynthesis of the target species.
4. The method for screening the tropical coral island vegetation recovery species based on the functional traits of claim 1, wherein the data of the anti-adversity biological functional traits of the candidate species are detected, and specifically:
detecting functional trait data for morphological anatomical features of the candidate species;
detecting functional trait data of antioxidant capacity of the candidate species;
detecting functional trait data of drought resistance of alternative species;
and (3) detecting functional trait data of photosynthesis of the candidate species.
5. The method for screening the tropical coral island vegetation recovery species based on the functional traits as claimed in any one of claims 3 or 4, wherein the functional traits data of morphological and anatomical features of the species are detected by making leaf, stem and leaf sections of the species and observing under a microscope; colorimetric detecting functional character data of oxidation resistance and functional character data of drought resistance of the species by adopting a spectrophotometer; functional trait data for photosynthesis of the species is detected by employing a photosynthesis assay system.
6. The method for screening the vegetation recovery species of the tropical coral island based on the functional traits of claim 1, wherein the target species is a plant that can survive and grow on the tropical coral island, and the candidate species is a plant that grows in the tropical and subtropical regions.
7. The method for screening the vegetation recovery species of the tropical coral island based on the functional trait of claim 1, wherein the target species comprise casuarina equisetifolia, pittosporum tobira, jack bean and cynodon dactylon.
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| CN102498891A (en) * | 2011-11-08 | 2012-06-20 | 山东大学 | Method for sieving wetland vegetation recovery species |
| CN106472134A (en) * | 2016-09-18 | 2017-03-08 | 海南大学 | The method that a kind of falling zone muskeg recovers suitable species screening |
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| CN102498891A (en) * | 2011-11-08 | 2012-06-20 | 山东大学 | Method for sieving wetland vegetation recovery species |
| CN106472134A (en) * | 2016-09-18 | 2017-03-08 | 海南大学 | The method that a kind of falling zone muskeg recovers suitable species screening |
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