lapply misses a variable name when used with lm and wanting to reduce iteration?

I have used melt to combine all my 32 columns into a single column, their values into a single column, and the independent variable into a single column.

I then wanted to use lapply to generate a lm matching the rows of
Years Species Farmland

There were two ways of me wanting to do this;
1. To take the lm of one variable name i.e. Starling values across all years (1994:2013)
2. To take the lm of all variables names I.e. Starling, Skylark, Lapwing .... Farmland values together across each year.

An example of my data:

structure(list(Years = c(1994L, 1994L, 1995L, 1996L, 1997L, 1998L
), Species = structure(1:6, .Label = c("Starling", "Skylark", 
"YellowWagtail", "Kestrel", "Yellowhammer", "Greenfinch"), class = "factor"), 
    Farmland = c(13260L, 13520L, 8129L, 15575L, 18686L, 18541L
    )), row.names = c(1L, 20L, 40L, 60L, 80L, 100L), class = "data.frame")

A further example:

'data.frame':   570 obs. of  3 variables:
 $ Years   : int  1994 1995 1996 1997 1998 1999 2000 2002 2003 2004 ...
 $ Species : Factor w/ 30 levels "Starling","Skylark",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ Farmland: int  13260 15551 16335 18997 18571 18376 15770 16054 15101 16276 ...

Code for lm for Q.1:

df_try <- lapply(1:n, function(x) lm(Farmland ~ Years + Species, work_practice))

The output:

Call:
lm(formula = Farmland ~ Years + Species, data = work_practice)

Coefficients:
         (Intercept)                 Years        SpeciesSkylark  
           -708278.6                 363.0                 578.8  
SpeciesYellowWagtail        SpeciesKestrel   SpeciesYellowhammer  
             -9329.8                -744.4                -238.7  
   SpeciesGreenfinch        SpeciesSwallow    SpeciesHousemartin  
               246.3                 506.6               -3928.5  
       SpeciesLinnet  SpeciesGreyPartridge     SpeciesTurtleDove  
              -680.2               -5825.1               -5417.4  
  SpeciesCornbunting      SpeciesBullfinch     SpeciesSongthrush  
            -12187.9               -5688.7                -279.1  
    SpeciesBlackbird        SpeciesDunnock    SpeciesWhitethroat  
               490.2                 299.0                 231.6  
         SpeciesRook    SpeciesReedBunting      SpeciesStockdove  
              -653.9               -6864.5               -1788.0  
    SpeciesGoldfinch        SpeciesJackdaw           SpeciesWren  
               156.6                -637.3                 553.1  
        SpeciesRobin        SpeciesBluetit       SpeciesGreatTit  
               328.7                 460.3                 384.3  
SpeciesLongtailedTit      SpeciesChaffinch        SpeciesBuzzard  
             -1359.8                 499.7               -6888.2  
  SpeciesSparrowhawk  
             -4458.5 

The problem with this; Starling is missing (The first variable name), and Years is not necessary for the result (How can this be removed) this is iterated on call 19 times which I assume is because of the dataframe. Is there a way to call this only once?

I have tried doing this when the variable (Species) was in columns but the output only calls for one variable 19 times...